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Understanding social commerce: A systematic literature review and directions for further research
... Tóm lại, mục tiêu của bài viết là nghiên cứu sự phát triển của KTNB khu vực công, xác định các trọng tâm nghiên cứu và các tranh luận về chủ đề này; từ đó, đề xuất một số hướng nghiên cứu trong tương lai. Phương pháp lượt khảo tài liệu có hệ thống được sử dụng trong nghiên cứu (systematic literature review -SLR) (Moher et al., 2009;Busalim, 2016) với bốn phần: giới thiệu, phương pháp luận, kết quả nghiên cứu và kết luận. ...
... Mô hình tổng quát này được sử dụng trên toàn cầu như một phương tiện để thực hiện và thể chế hóa KTNB khu vực công hiệu quả và như một hướng dẫn để tăng cường năng lực trong KTNB. Do đó, các bài báo được xuất bản từ năm 2000 được tập trung nghiên cứu thông qua áp dụng phương pháp lượt khảo tài liệu có hệ thống (SLR), phương pháp này đã được Moher et al. (2009), Busalim (2016), de Geus et al. (2020, Lopes & Farias (2020) sử dụng. Cách thức lựa chọn bài báo theo phương pháp SLR giúp giảm sai lệch nghiên cứu (Tranfield et al., 2003). ...
... Cách thức lựa chọn bài báo theo phương pháp SLR giúp giảm sai lệch nghiên cứu (Tranfield et al., 2003). Điều này đã giúp xây dựng câu hỏi nghiên cứu, chiến lược tìm kiếm, quy trình lựa chọn bài báo, đánh giá chất lượng, trích xuất dữ liệu và tổng hợp dữ liệu được trích xuất (Busalim, 2016). Với cách tiếp cận này, nghiên cứu đảm bảo độ tin cậy của những phát hiện (Massaro et al., 2016) và cho phép các tác giả khác nhân rộng nghiên cứu (Tsalavoutas et al., 2020). ...
Mục tiêu của bài viết là tìm hiểu sự phát triển của kiểm toán nội bộ khu vực công, xác định các trọng tâm nghiên cứu và đề xuất các hướng nghiên cứu trong tương lai. Bài viết lượt khảo 77 bài báo khoa học để thảo luận nguồn dữ liệu, khung lý thuyết, đối tượng cung cấp thông tin, phương pháp nghiên cứu và đánh giá kết quả nghiên cứu. Các nghiên cứu tiếp theo được đề xuất là tập trung vào so sánh nhiều quốc gia, bổ sung lý thuyết nền, bằng chứng thực nghiệm liên quan đến quản lý rủi ro và chi tiêu lãng phí, việc tiếp thu các kỹ năng công nghệ thông tin cho kiểm toán viên, xem xét tác động của các đặc điểm văn hóa, thể chế, nhân khẩu học và thiết kế các mô hình chặt chẽ để dự đoán hiệu quả kiểm toán nội bộ khu vực công.
... Esta investigação combinou uma revisão sistemática e bibliométrica. A pesquisa sistemática integrou as informações colhidas para evidenciar um tema, identificou as possíveis lacunas existentes na literatura e auxiliou em orientações para futuras investigações (Sampaio;Mancini, 2006;Busalim;Hussin, 2016). A análise bibliométrica esclareceu sobre a orientação, dinamismo de um país e o impacto de pesquisadores e instituições na participação científica. ...
... Esta investigação combinou uma revisão sistemática e bibliométrica. A pesquisa sistemática integrou as informações colhidas para evidenciar um tema, identificou as possíveis lacunas existentes na literatura e auxiliou em orientações para futuras investigações (Sampaio;Mancini, 2006;Busalim;Hussin, 2016). A análise bibliométrica esclareceu sobre a orientação, dinamismo de um país e o impacto de pesquisadores e instituições na participação científica. ...
O desafio das áreas protegidas é associar a preservação ecológica, com a proteção sociocultural e com exploração econômica consciente. Da mesma forma do que se propõe, genericamente, com os Objetivos de Desenvolvimento Sustentável (ODS). Com o objetivo de identificar na literatura científica pesquisas empíricas em áreas protegidas que contribuem para o alcance dos ODS, realizou-se uma revisão sistemática e bibliométrica da literatura, nos bancos de dados da Web of Science e Scopus. Nos quais foram elegidos 72 (setenta e dois) artigos. As principais descobertas evidenciaram que todos os ODS foram relacionados e debatidos. Com destaque para o ODS 15 (Vida Terrestre), alusivo em 52,78% dos trabalhos. Na Europa e nos Estados Unidos se concentram 94,44% dos editorais que publicaram estes artigos. As pesquisas são desenvolvidas, em sua maioria, em países periféricos e voltados, sobretudo, aos viesses social e ambiental. Este constructo anseia orientar e encorajar futuras pesquisas a se interseccionarem com os ODS. E, da mesma forma, com as acepções de interdisciplinaridade e internacionalização.
... 69 • Algorithmic Reinforcement: Platform algorithms personalize content feeds based on user behavior, potentially reinforcing existing desires, insecurities, or materialistic tendencies by showing users more of what they engage with, including advertisements and aspirational content. 22 This can create echo chambers of consumption-oriented content. • Social Proof and Peer Pressure: The visibility of peer consumption and the desire to belong create social pressure. ...
... Platforms currently often prioritize maximizing engagement and time spent online, which can inadvertently amplify social comparison, materialism, and addictive tendencies. 22 A shift towards ethical design principles that prioritize user well-being is necessary. Key principles include: ...
This research investigates the complex interplay between social media engagement and the formation of human desires, focusing specifically on how digital platforms contribute to the blurring of boundaries between socially-induced "wants" and intrinsic human "needs." Utilizing a qualitative synthesis approach, this paper analyzes existing research encompassing social comparison theory, self-determination theory, content analyses of social media, consumer behavior studies, and psychological impacts documented in academic literature. The methodology relies on the interpretation and integration of findings from a corpus of secondary data sources. Key findings indicate that social media platforms significantly amplify the formation and escalation of wants through mechanisms such as algorithmically curated content, pervasive social comparison opportunities facilitated by platform design, and the influence of influencer culture and online peer networks. These processes intensify the focus on extrinsic goals, such as materialism and social status, which are often pursued as proxies for, or confused with, the fulfillment of intrinsic psychological needs like belonging, esteem, and autonomy. This confusion correlates strongly with increased lifestyle dissatisfaction, anxiety, lower self-esteem, compulsive consumption patterns, and a potential deficit in genuine psychological need fulfillment. The implications highlight significant psychological and societal consequences stemming from this blurred distinction. Recommendations emphasize the critical need for enhanced digital literacy programs The Impact of Social Media on the Escalation of Desires: Differentiating Socially-Induced Wants from Intrinsic Human Needs P a g e 2 | 59 focusing on critical consumption, the adoption of ethical social media platform design principles that prioritize user well-being over engagement metrics, and the adaptation of counseling and therapeutic approaches to specifically address the needs versus wants confusion exacerbated by modern digital environments.
... Within the framework of both international and domestic mergers, this study uses a review approach to assess post-merger governance and performance in public, non-profit and private organizations. The methodology implemented in this study was developed in line with and built on previous studies that used this research tool (Busalim & Hussin, 2016;Nerantzidis et al., 2023;Giovanis & Chasiotou, 2025). The primary steps of the review process are the systematic literature search method using selected keywords, data extraction and discussion of the results obtained. ...
... Furthermore, the articles considered should also be in English to avoid translation difficulties and improve the reproducibility of the study (Bartocci et al., 2023). Finally, publications that were in the press and considered irrelevant or incomplete regarding the topic under study were removed from the sample (Busalim & Hussin, 2016;Battisti et al., 2021). Additionally, in order not to significantly limit the examined sample of studies, no additional restrictions were applied, such as the CABS list or the use of some levels of this list, as was done in previous studies (Sageder & Feldbauer-Durstmüller, 2019). ...
Historically, mergers have been a way for businesses and organizations to expand their operations through external growth. The objective of this study is to analyse the current and future trends in merger processes in the context of two research aspects: 1) the relationship with governance principles in both private and public sector organizations and 2) the current situation and prospects for international or domestic mergers. In order to fulfill the research objectives, a criterion-based selection and analysis of relevant literature were conducted — articles selected from an authoritative database (Scopus). It was found that in the context of corporate mergers, governance theory is of critical importance because the quality of governance can influence post-merger outcomes, and effective corporate governance mechanisms can mitigate risks arising from the behaviour of managers or employees. Based on the result of this study, it is suggested that the research in the field of mergers and governance mechanisms can significantly benefit from further studies that include the advanced analysis of various countries with diverse economic environments.
... As consumers are unable to physically interact with products before purchase, they heavily rely on the opinions, reviews, and recommendations of peers, which enhances trust in the platform and the products being sold (Gefen and Straub, 2000;Kim and Park, 2013). Social commerce platforms build trust through several mechanisms, including user-generated content, vendor reputation, and social presence (Busalim, 2016). According to Kim and Park (2013), trust is influenced by various platform characteristics, such as the quality of information, interaction features, and the ability to verify other users' experiences. ...
... In social commerce, platforms must not only provide a streamlined user experience but also integrate social features, such as usergenerated content, to enhance engagement. Busalim (2016) highlights that the integration of social media tools, such as reviews, ratings, and sharing features, helps create a user-friendly and engaging environment that encourages repeat use. ...
Social commerce (s-commerce) has become an integral part of the e-commerce landscape, particularly in emerging markets like India. This study investigates the key determinants influencing consumer behavior in social commerce within the Indian context. Utilizing a descriptive research design, data was collected from 214 respondents who are active users of social commerce platforms in India. The study identified four primary factors influencing consumer behavior: trust, social influence, ease of use, and price sensitivity. Trust emerged as the most significant determinant, with consumers relying heavily on peer reviews and ratings. Social influence, particularly from peers and online communities, also plays a crucial role in shaping purchase intentions. The ease of use of s-commerce platforms and price sensitivity were found to be significant, particularly in the Indian market. The findings offer valuable insights for businesses seeking to optimize their social commerce strategies to attract and retain consumers. By focusing on building trust, leveraging social influence, enhancing user experience, and offering competitive prices, businesses can effectively engage with the Indian consumer base.
... In general, SC relates to performing e-commerce activities on SM platforms, particularly key elements like usergenerated content, content sharing, buying, and selling in the online marketplace (Zhao et al., 2023). The effects of SM technologies on electronic commerce are noticeable both in how businesses operate and in how customers interact with each other (Busalim & Hussin, 2016). More specifically, Web 2.0 has a big effect on how businesses do business and how reliable the integrity of their systems is. ...
... It also tells how strong the inferences are, adds to the credibility of the chosen papers, and provides a guide for further research (Kitchenham & Charters, 2007). During the standard evaluation exercise that is carried out to determined how eligible a particular paper is, all of the research documents gathered after the selection procedure are grouped into one of three categories: high, medium, or low (Nidhra et al 2013;Busalim, and Hussin, 2016). To divide the papers into levels, those that meet all the criteria for the research topic will get a score of "2", those that meet some of the criteria but not all will get a score of "1", and those that don't meet any of the criteria for the research topic will get a score of "0" (Bahari et al., 2019). ...
... Such applications usually contain data in multiple models, such as relation, key-value, graph and document. For instance, in the social commerce scenarios [3], some basic information like user's basic information is suitable for storing in the relational model; the data that needs to be frequently updated and simple in structure, are proper to store with the key-value model; the extremely complicated relationships like social network would be stored as the graph model. For the data in various models, multi-model data management is in demand. ...
... We utilize the typical multi-model scenario, social commerce [3] as the basic of demonstration, which contains various data models including relational data like user information table, graphs like social network, documents like posts, and key-value pairs like user behavior records. Next, we show three important multi-model management functions of Multi-SQL. ...
Nowadays, data in applications become diverse and large in scale. In order to meet the increasing demand for multi-model data management, multi-model databases have evolved into huge systems with many knobs. However, such a large system brings great challenges for users to efficiently tune. In extreme cases, it is difficult even for experienced DBAs to be the masters in multi-source engines and provide effective solutions for multi-model data. Meeting this challenge, we firstly propose an automatic multi-model data management system (Multi-SQL) based on machine learning. We design an intelligent middleware in which some artificial intelligence(AI) technologies are embedded, including automatic multi-model storage selection and automatic multi-model index recommendation methods. In this paper, we clarify the architecture, core techniques and key scenarios of Multi-SQL.
... Such applications usually contain data in multiple models, such as relation, key-value, graph and document. For instance, in the social commerce scenarios [3], some basic information like user's basic information is suitable for storing in the relational model; the data that needs to be frequently updated and simple in structure, are proper to store with the key-value model; the extremely complicated relationships like social network would be stored as the graph model. For the data in various models, multi-model data management is in demand. ...
... We utilize the typical multi-model scenario, social commerce [3] as the basic of demonstration, which contains various data models including relational data like user information table, graphs like social network, documents like posts, and key-value pairs like user behavior records. Next, we show three important multi-model management functions of Multi-SQL. ...
... Such applications usually contain data in multiple models, such as relation, key-value, graph and document. For instance, in the social commerce scenarios [3], some basic information like user's basic information is suitable for storing in the relational model; the data that needs to be frequently updated and simple in structure, are proper to store with the key-value model; the extremely complicated relationships like social network would be stored as the graph model. For the data in various models, multi-model data management is in demand. ...
... We utilize the typical multi-model scenario, social commerce [3] as the basic of demonstration, which contains various data models including relational data like user information table, graphs like social network, documents like posts, and key-value pairs like user behavior records. Next, we show three important multi-model management functions of Multi-SQL. ...
... This is because a Systematic Literature Review (SLR) is suitable for analyzing existing knowledge and identifying potential research gaps [22,23]. An initial search is performed systematically by following the listed database and according to the keywords [24]. Figure 1 shows the flow of the SLR process. ...
Road maintenance works need to be carried out regularly to maintain pavement conditions and ensure road user safety. However, road maintenance management is becoming more complex due to large numbers of ageing roads and limited funds for maintenance. Finance is among the crucial components of road maintenance operations. Ineffective financial management leads to the inefficient use of funds and delay of maintenance work. It has been demonstrated that strategic management practices have contributed to increasing the effectiveness of financial management due to the practices that centre on methods towards achieving maintenance goals. Therefore, this paper conducts a review to identify the financial management factors that will impact the effectiveness of road maintenance financial management. Data were sourced from electronic databases with specific searched keywords related to financial management. Factor searching focused on prevalent domains such as financial goals, financial planning, financial organizing, financial leading, and financial monitoring. A total of seventy-two (72) papers have undergone review, unveiling fifty-two (52) distinct factors. Financial goals contribute about seven (7) factors, financial planning to twenty-one (21) factors, financial organizing about seven (7) factors, financial leading to nine (9) factors, and financial monitoring to eight (8) factors. The review conducted in this paper sheds light on the multitude of factors influencing financial management effectiveness in road maintenance. Identifying key areas can develop targeted strategies to enhance financial efficiency and optimize maintenance efforts. The findings also underscore the necessity for continued research in this field to address the complexities of road maintenance and ensure the long-term sustainability of transportation infrastructure.
... Bapna et al (2017), information sharing behavior in social commerce, is driven by the intention to achieve with a choice of two goals, namely social or commercial. Dimensions in measuring the intention to share include attitudes, emotions and perceived behavioral control (Busalim & Hussin, 2016). Purchase intention in individuals is based on mental satisfaction, customers act by developing actual willingness towards an object (Janany & Shivany, 2017). ...
Opportunities for MSMEs are indeed wide open with technological advances, but competition in business is increasingly competitive. One can observe that the food sector in Jambi Province is the highest business sector on the MSME scale, so this shows that competition will also be higher. Customer involvement is considered to foster the intention of new consumers to make purchases, so customer engagement is an important thing to measure in the marketing concept. Food products are not only a business but also a consumer experience in shopping to consume or interact which can potentially increase sales through creating good consumer purchasing intentions. Measuring the intention to share in social commerce needs to be differentiated based on the purpose, namely social or commercial, so that we can further explore the factors of intention to create purchase intention in other consumers. The purpose of this research is to (1) To examine how much influence consumer engagement has on social sharing intentions and commercial sharing intentions directly on Snack Food MSMEs in Jambi Province on; (2) Examining how much influence social sharing intentions and commercial sharing intentions have on purchasing intentions among Snack Food MSMEs in Jambi Province; (3) Examining how much purchasing intentions are influenced by consumer engagement through social sharing intentions and commercial sharing intentions in Snack Food MSMEs in Jambi Province. This study employs Structural Equation Modeling (SEM) for data analysis, utilizing the SmartPLS software
... We lean towards this description since s-commerce negates some of e-commerce's downsides. The main difference between s-commerce and e-commerce is that s-commerce enables and supports the development of social interactions among members (Busalim & Hussin, 2016;Meilatinova, 2021). ...
Research background: Social commerce represents a quickly growing field with significant implications for e-commerce and marketing. It has been gaining importance in recent years due to the popularity of social media and online shopping. The evolving nature of social commerce impacts consumer behavior. Despite evidence that age cohorts exhibit distinct digital behaviors, generational differences in s-commerce adoption remain underexplored. Purpose of the article: This study examines the role of communication via social media, prior online experience, and trust in shaping s-commerce use intention. It specifically investigates generational differences between Generation X (Gen X) and Generation Y (Gen Y), addressing gaps in existing research on trust and digital engagement. Methods: A quasi-representative sample of Gen X and Gen Y respondents was analyzed using multi-group structural equation modeling. The study tested a mediation model, evaluating whether trust mediates the relationship between communication, experience, and s-commerce use intention across generations. Findings & value added: The results highlight significant differences and similarities in consumers' intention to use social commerce between generations. Trust mediates the adoption process only for Gen X, while Gen Y relies more on direct social media interactions. This suggests that older consumers prioritize trust-building mechanisms, whereas younger consumers are more influenced by social engagement and peer interactions. This study extends s-commerce adoption models by incorporating generational cohort theory, offering practical insights for businesses to optimize trust-building and communication strategies based on generational preferences. The findings support targeted strategies to enhance customer engagement and increase s-commerce adoption in emerging markets.
... to decrease study bias, as suggested by tranfield et al. (2003) we use protocol reviews as a reference in slr development (see Busalim & hussin, 2016). these details assist us in building research questions, research topics, developing search strategies, studying the filtering process, reviewing value, collecting data, and synthesizing the results. ...
This study reviews post-2000 literature on the role of internal audit on public procurement governance, focusing on its development, critiques, and future directions through a systematic analysis of 68 articles published between 2001 and 2024. The internal audit is crucial to enhancing governance in public procurement by fostering transparency, accountability, and efficiency. This study reveals substantial academic progress in internal audit research with important breakthroughs occurring between 2018 and 2023. The use of technology like big data analytics and robotic process automation has enhanced fraud detection and operational efficiency in procurement operations. Notwithstanding these improvements, problems endure, including constrained resources, deficient institutional capacities, and inadequate auditor training. The results underscore the significance of multidisciplinary methodologies, integrating accounting, technology management, and public sector perspectives to rectify governance deficiencies. This study represents a varied geographical distribution, with the majority findings in Africa, Asia and Europe. This research proposes the development of an integrated theoretical framework, institutional theory, stakeholder theory, and stewardship theory to address the limitations of the existing theoretical frameworks. The practical consequences are implementing risk-based audit methodologies, enhancing auditor independence, and encouraging inter-organizational cooperation to reinforce public procurement supervision. This research offers policymakers and practitioners concrete insights to enhance integrity and efficiency in public sector governance through the integration of ethics, corporate social responsibility, and sophisticated methodology. Future research needs extensive regional research, sustainable governance frameworks, and legislative reforms prioritizing transparency, accountability, and efficiency.
... traditional retail setting is "the conscious designing of space to create certain buyer effects, specifically, the designing of buyer environments to produce emotional effects in the buyer that enhances purchase probability" (Kotler, 1973, p. 50). The atmospherics like website design (Li, 2019), interactivity (Busalim and Hussin, 2016), feedback (Hajli, 2015), and recommendations (Li, 2019) have been investigated as critical stimuli that favourably motivate a visitor to interact with an s-commerce page. ...
Purpose
This study investigates the benefits and personal values that motivate customers to purchase from social commerce (s-commerce).
Design/methodology/approach
The study uses the means-end chain (MEC) theory and the laddering technique to identify the personal values a customer expects to achieve while interacting with an s-commerce page.
Findings
“Page design” followed by “response to queries” during and after purchase are the two most important attributes that help a customer attain personal values. The study reveals “feeling valued” and “confidence” in a purchase as critical values for the customers.
Practical implications
Researchers suggest making an s-commerce page “easy to use” by focusing on the page design, aesthetics and appealing interface. S-commerce customers value prompt responses to queries during and after a purchase, which leads to a better customer experience.
Originality/value
This study is one of the first attempts to examine the personal values that motivate customers to purchase on s-commerce pages.
... The social aspect is one of the key characteristics of s-commerce (Busalim and Hussin 2016). Customers may consult their social community to seek advice in their purchasing decisions . ...
Social commerce (s-commerce), as a new form of e-commerce, has transformed customer behavior with the rise of social networking sites (SNSs). This development has created new opportunities for online businesses seeking to establish customer-centric operations and leverage the power of SNSs by implementing effective customer engagement strategies for a competitive advantage. However, limited effort has been devoted to evaluating the current state of research in this area and consolidating the factors that drive individuals to engage in s-commerce. Therefore, this study conducted a Systemic Literature Review (SLR) to explore existing research on s-commerce and customer engagement, employing a factor derivation approach to identify and categorise the most prominent engagement factors. The findings classify these factors into three key dimensions: social, technological, and motivational. By offering a comprehensive theoretical framework, this study contributes to advancing empirical research and deepening our understanding of the mechanisms that stimulate customer engagement within the s-commerce landscape.
... This form of commerce utilizes customer reviews, referrals, online communities, and social promotions to stimulate online shopping. Three main concepts-Web 2.0 technologies, SM, and e-commerce-converge to define the phenomenon of S-commerce, opening new avenues for research in information systems (Busalim & Hussin, 2016;Solangi et al., 2022). ...
Social commerce refers to the utilization of social media platforms for conducting business transactions and activities, which are primarily facilitated by social interactions and user-generated content. This systematic literature review explores the factors influencing the adoption of social commerce platforms within organizational contexts. Drawing on 32 articles published between 2013 and 2023, the study synthesizes findings across technological, organizational, and environmental dimensions using the Technology-Organization-Environment (TOE) framework. Key technological factors identified include perceived usefulness, service quality, and security concerns, highlighting the pivotal role of technological capabilities and user perceptions in adoption decisions. Organizational factors such as top management support, financial readiness, and organizational preparedness emerge as critical facilitators. Environmental factors encompass social influence, competitive pressures, and regulatory frameworks, underscoring the external forces shaping adoption dynamics. The review contributes by identifying gaps in current research and providing practical insights for practitioners and policymakers. Future research directions include longitudinal studies and crosscountry comparisons to deepen understanding and inform effective strategies for enhancing organizational readiness and leveraging social commerce platforms.
... Using this review process ensures the reliability of our findings (Massaro et al., 2016) and can serve as a benchmark for other authors (Tsalavoutas et al., 2020;Yin, 2018). The overall procedure maps out the search strategy, assigns appropriate research objectives and keywords, identifies the selection process and data extraction using different combinations, and assesses the quality of the findings (Busalim and Hussin, 2016;Kitchenham and Charters, 2007). Similar to other studies (e.g., Culot et al., 2020;Lombardi et al., 2022), this review was conducted using Scopus, Web of Science (WOS), Google Scholar, and Taylor & Francis Online databases. ...
... Usefulness and Financial Benefits: Participants valued social commerce for expanding customer reach and driving sales, aligning with prior studies (Hajli, 2015;Abed et al., 2015). Platforms like Facebook and Instagram were widely used for targeted ads, as Amy emphasized its role in attracting local and broader audiences, while Kylie highlighted the success of paid advertisements (Busalim & Hussin, 2016). However, challenges in quantifying ROI and the time-intensive nature of maintaining a digital presence posed significant barriers (Zhang & Benyoucef, 2016). ...
... In e-commerce marketing, a flash sale is an incredible method which helps to increase the sale of branded products at discount prices within a specified time rather than the average sales period. Research on social commerce commenced after 2010, and 110 various types of research have been initiated at the end of 2015 (Busalim & Hussin, 2016). These studies have main objectives concerned with the approach of social commerce, grace, perception of the consumer behaviour, and research to interact the social commerce websites. ...
"Digital Transformation in Management:
Embracing Technological Innovations for Organisational Success - Insights and
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extensive collection that analyse the dramatic effects of digital transformation
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possibilities of blockchain and artificial intelligence in finance and accounting,
and the digital disruption of traditional cinema by OTT platforms.
... SMNs are used by millions of users worldwide to publish data content in the form of images and videos, change their status, and leave daily comments [2][3][4][5]. With the exponential rise in popularity of SMNs, such as Facebook, MySpace, media sharing networks, Tumbler, Twitter, Instagram, YouTube, and microblogging, researchers have been encouraged to examine published data content on these platforms [6][7][8]. The developing countries need to be aware that the main component of SMNs is its information, and they need a lot of it for their ability to persuade people to contribute data about every waking minute [9]. ...
Social media networks (SMNs) serve as global communication platforms where users can share content, images, and videos as well as post comments, follow friends, and share their thoughts. However, developing countries are lagging behind in understanding the techniques, challenges, and opportunities associated with mining and analytics of SMNs Big Data (BD). The study's objective was to review relevant literature to establish awareness and understanding in developing countries about these techniques, opportunities, and challenges associated with mining and analytics of SMNs BD. A systematic literature review analysis was used to address the study objective. The SMNs BD mining and analytics techniques resulting from the review include, but are not limited to, data mining, value chain technique, infosphere big insights, and SMNs BD sentiment analysis. Three categories of challenges discovered on the subject under investigation are process challenges, data challenges, management challenges, and infrastructure challenges. Opportunities discovered during the review include, but are not limited to, business improvements and adjustments, constructing intelligent networks, and customer engagement boosts, among others. Based on the review results, the study proposed SMNs BD management, mining, and analytics steps to guide developing countries in any endeavors aiming at utilizing SMNs BD mining and analytics initiatives.
... The Harvard Business Review articles mention retail's extraordinary ability to constantly reinvent itself [42], with the apparel industry increasingly investing in online tools [43]. Busalim [44] and Hajli et al. [45] define social commerce as a branch of e-commerce that takes advantage of social networking platforms (such as Facebook, Instagram, YouTube, and Twitter) and Web 2.0 technologies. Vatanasakdakul, Aoun and Defiandry [46] even consider that "the mass diffusion of social media has enabled new commercial models in retailing". ...
The present paper studies the changes that occurred in the clothing trade during the COVID-19 pandemic and the influences exerted on business management. The pandemic sped up digitalization, pushing companies to quickly adapt to new economic conditions and marking a turning point for online commerce. In the fashion sector, where consumer behavior has shifted rapidly and digital technologies have transformed the business landscape, it is essential to examine these changes and their long-term impact. The research methodology involved an online questionnaire-based survey, targeting 153 respondents from various age groups. Descriptive statistics were used, such as the analysis of variation indicators, to explore patterns in the data and provide a clearer understanding of the phenomena studied. Additionally, a series of statistical tests were applied to validate the research questions. The aim was not to predict future behavior but to explain current trends and shifts, particularly the acceleration of digitalization during the pandemic. The findings highlight changes in customer behavior, the need for investments in technology and innovation, and the importance of adaptability, especially in marketing. There is a statistically significant relationship between income levels and spending on clothing, with higher incomes leading to increased expenditure. The pandemic amplified the role of online channels, particularly among higher-income groups. Promotional campaigns significantly impact purchase decisions, especially for lower-income consumers, serving as both purchase drivers and tools for customer retention. The shift toward online shopping, accelerated by the pandemic, highlights substantial growth potential for e-commerce in the fashion sector. Consumers favor platforms offering convenience, product diversity, and personalized experiences. A moderate interest in sustainable fashion was observed, with preferences leaning toward affordable and durable materials, underscoring the need for transparent and eco-friendly business practices.
... The purchases which is not planned earlier is known as "impulse buying" happen when someone is exposed to a certain stimulus. Previous research has demonstrated that an online shopping environment can encourage Consumers to make impulsive purchases (Busalim, 2016). ...
Using the Stimulus Organization-Response (S-OR) framework, this research attempts to explore the effects of the Online Consumer Reviews (OCR) on Consumer Trust (CT) and Online Impulse Buying (OIB). Additionally, it looks at how the Consumer trust functions act as a mediating factor between OIB and OCR. A total of 150 participants satisfactorily completed the Google form questionnaire, which was used to collect data. Respondents in this study included those who had exhibited consumer trust and made impulsive internet purchases. The methodology employed in this research makes use of partial least squares (SEM-PLS), which is a structural equation modelling technique. The results demonstrate that while consumer trust strongly influences online impulse buying, online Consumer reviews considerably influence both consumer trust and online impulse buying. Furthermore, the association between OCR and OIB was partially mediated by CT. This study promotes online Consumer reviews for Indian social commerce users. Consumers act on advice to make impulsive purchases as Consumer trust grows. People who exhibit a propensity for making rash internet purchases are encouraged by the trust that they have in them. The theoretical and practical ramifications of this study can offer insightful information for future studies on online consumer purchases.
... Within this social commerce landscape, key opinion leaders (KOLs) have emerged as influential figures whose endorsements, propelled by their credibility and substantial followings, significantly impact product dissemination [5]. The proliferation of video platforms, such as YouTube, which boasts up to 2.5 billion users worldwide, offers fertile ground for advertisers to leverage YouTubers as KOLs, enhancing their brand penetration [6]. ...
The advent of social commerce platforms fueled by the growing commercialization of social media and networking sites represents a significant evolution in e-commerce dynamics. This study investigates the pivotal role of key opinion leaders (KOLs), particularly YouTubers, in shaping consumer purchasing behavior. Recognizing the powerful influence exerted by KOLs, we examined their ability to promote product diffusion through credibility, specialized knowledge, and strategic word-of-mouth campaigns. This study employs a robust theoretical framework that foregrounds the influence of KOLs while integrating critical constructs, such as perceived value and risk, into a comprehensive model. Our empirical analysis, based on data from 411 valid responses, yields the following insights: the expertise and renown of KOLs exert a profound effect on consumer purchase intentions; consumer perceptions of value positively correlate with trust, whereas perceived risk negatively affects it; and trust mediates the relationship between KOL characteristics (popularity and professionalism) and consumers’ relationship strength with purchase intentions. The findings advocate leveraging KOLs’ renown and expertise while mitigating perceived risks to amplify consumer purchase intentions, thus providing actionable strategies for marketers in the burgeoning social commerce landscape.
... Metode yang paling relevan untuk artikel ini adalah Systematic Literature Review (SLR) yang dikemukakan oleh Lopes & Farias (2022), Busalim et al. (2016) dan Nerantzidis et al. (2022), yaitu metode pengumpulan data yang digunakan dalam penelitian sosial untuk menemukan, mengevaluasi, dan menafsirkan topik atau fenomena penelitian yang relevan (Ihksan et al., 2023). ...
This research aims to review the CFO's role's evolution and technology's impact on the modern CFO function. The study uses a Systematic Literature Review (SLR) to investigate the Chief Financial Officer's (CFO) changing role in optimizing the use of the latest technology and process automation. The SLR findings indicate the CFO's role has shifted from a technical finance role to a business leader providing strategic recommendations and financial risk analysis. The research found that by utilizing the latest technology, CFOs can optimize operational efficiency and support faster, more accurate business decision-making. Based on upper echelon theory, the CFO's characteristics affect the company's decisions. Therefore, companies should consider CFOs' experience and education in supporting their strategic role. The study's originality lies in discussing the CFO's role development in the digital era and the impact of the latest technology on strategic decision-making. Keywords: Chief Financial Officer; Use of Technology; Operational Efficiency; Decision Making
... Most of these studies under social commerce emphasize on technology design and user behavior. The main incentive would be that the continuous change and adaptation by organizations are needed due to IT's fastevolving (Busalim, 2016;Zhou et al., 2013). ...
To enter the offline channel, the community-based group buying (CGB) platform usually recruits group leaders to perform corresponding tasks (i.e., creating new customers, information disseminating, marketing, and goods delivering). A major type of group leader is the traditional offline retailer, who runs a convenience store in the community and is considered as the core bond among three parties, namely, platforms, merchants, and consumers. Drawing upon the PPM theory and TAM model, this study aims to investigate the switching intention of traditional offline retailers to embrace platform’s recruitment and undertake group leader roles towards the CGB program. With primary data collected from 365 respondents, we establish a structural equation model and conduct the empirical analysis. Results suggest that both push and pull factors exert positive effects on convenience storekeepers’ switching intention, while the perceived risk (i.e., one of the mooring factors) hinders the switching intention. However, switching cost, as another mooring factor, does not significantly predict the switching intention. These additional constructs in the push–pull-mooring (PPM) model are considerably helpful for improving the understanding of traditional offline retailer’s switching intention towards community-based group buying and could offer several managerial implications for group buying platforms.
... The term AI was defined by Russell and Norwig [3] to describe all systems that impersonate cognitive functions that are mainly associated with human characteristics such as problem-solving, learning, and speech. A more comprehensive characterization exists in Kaplan and Heinlein [4], where the study described the ability to learn from external data to interpret AI independently and achieve specific results through flexible optimization [12]. ...
With the wave of technological progress in this modern time, artificial intelligence (AI) has not only been introduced in various fields but is also being used worldwide, especially in healthcare. Artificial intelligence (AI) is slowly changing medical practices. Along with recent advances in machine learning, digital data acquisition, and computing infrastructure, AI applications are expanding into areas previously thought to be the province of human experts. In this research paper, we have focused how machine learning can be used to effectively provide solutions to many medical/biomedical issues, the paper identifies, challenges for further advances in Healthcare System AI systems, and summarized economic, legal, and social healthcare. Keywords: Healthcare
... In total, three articles were removed at this stage. Next, a scoring method assessed abstracts and full texts based on the criteria (Busalim, 2016). Articles with any negative responses scored 0 and were excluded, removing nine-two based on abstracts and seven from full-text reviews. ...
... As the e-commerce field penetrates social platforms, social commerce (s-commerce) shows up as a novel business model for enterprises (Busalim & Hussin, 2016). This is mainly driven by the evolution of e-commerce in the digital economy. ...
This research investigates the psychology and behavior of users engaging in short-form video shopping platforms (SVSP) from a user experience perspective. By extending the Technology Acceptance Model (TAM) and the Information System Success Model (ISS), an intention-to-use model for SVSP was developed. We conducted a survey on participants of SVSP shopping through the Questionnaire Star platform, obtaining 1,026 valid responses. Structural equation modeling (SEM-AMOS) was utilized to validate the hypotheses. Key findings include: perceived usefulness positively influences user engagement, purchase intention, and satisfaction; information quality positively impacts purchase intention; perceived ease of use negatively affects user engagement and satisfaction. Indirect effects on use intention were observed via mediation variables. Additionally, price negatively moderates the relationship between satisfaction, user engagement, and purchase intention. These findings contribute to theory and emphasizes user experience and provides actionable insights for sellers to boost engagement and satisfaction, along with managerial strategies to optimize short-form video live shopping experiences.
... The rapid development in Electronic Commerce (E-Commerce) and the growing significance of social media have propelled the rise of Social Commerce (S-Commerce) (Algharabat & Rana, 2021). The convergence of E-Commerce and S-Commerce has become a significant factor in modern trade, facilitating the establishment of closer customer relationships, increasing revenue, fostering loyalty (Busalim & Hussin, 2016), and enhancing brand awareness (Attar et al., 2022). Moreover, it can improve purchasing decisions (Baethge et al., 2016) and enhance the online experience for buyers (Algharabat & Rana, 2021). ...
This study examines the opportunities and risks of social commerce in German online grocery retail by integrating E-Commerce and social media. Semi-structured interviews were conducted with experts from the fields of E-Commerce and online grocery retail, and transcription and qualitative content analysis were performed using established methods. The results indicate promising opportunities for S-Commerce, including the promotion of impulse purchases, improved customer loyalty, and increased likelihood of purchase. However, challenges also exist, such as data protection and security risks, technical implementation and integration, as well as significant resource usage. The results allow for differentiation between opportunities and risks that can be actively managed to a powerful, limited, or low degree.
... As an interactive multimedia platform providing entertainment, social and commercial activities, live streaming has gained in popularity since 2011 [2]. This innovative form of live streaming commerce has transformed e-commerce from a product-oriented shopping environment into a social, hedonic, and customer-centered experience [3,4]. Furthermore, live streaming selling has become one of the preferred channels for major vendors to increase product sales and clear inventory [5]. ...
Investigating novel collaboration modes is imperative for enhancing the cooperative ties between brand retailers and anchors as live streaming commerce moves progressively towards standardization. In this paper, we study a live streaming commerce supply chain system composed of a brand retailer and an Internet celebrity anchor. We also develop the pricing and live streaming service effort decision models under the equal proportion settlement mode of pit fee for the brand retailer and anchor. The research results show that under certain conditions, there is an optimal joint decision on price discount and live streaming service effort. In addition, the equal proportion settlement mode provides security for brand retailers but tends to expose the anchor’s capabilities of live streaming sales. Consequently, anchors can only obtain a higher proportion of the pit fee by putting in more effort. Finally, through numerical analysis, we presented the impact of key parameters on the optimal decisions, demand, and profits of brand retailers and anchors. Based on these findings, we provided relevant managerial insights, offering valuable guidance and reference for the live streaming commerce industry.
... The originality and characteristics of social media commerce are in communication and interaction, which creates a highengagement environment [6]. Social media commerce enables consumers to share their opinions and experiences with products widely. ...
During the world-changing year of covid 19, social media commerce grew fast. The prolonged use of social media encourages users to make online purchases via social media. TikTok, the most downloaded social media app, offers its users a social media commerce experience, TikTok Shop. The TikTok shop provided a new option for business expansion. Business owners may optimize the potential use of TikTok shops by learning more about TikTok Shop. The purpose of this study is to use sentiment analysis to evaluate the business potential of TikTok Shop. The data from Google Play reviews is analysed using the LSTM algorithm. Based on the results of research conducted using a confusion matrix, the LSTM algorithm method using word2vec has an accuracy of 74%. This study found that the business prospects of TikTok shops may be challenging.
To succeed in today’s world, modern businesses need an online presence due to the growth of e-commerce, which involves selling goods and services online. E-commerce is not just expanding; it is also transforming the direction of business development. Now, companies must operate in a digital environment, create social platforms, influence consumers, and maintain their interest. This is why the new trend in electronic business and marketing is called ‘social commerce.Social commerce represents an innovative branch of e-commerce that emerged from the active integration and use of popular social networks. It enables consumers to interact on online platforms, unlocking new opportunities for buying and selling goods and services directly within these networks. Recent advancements in information technology, particularly with the advent of Web 2.0 technologies, alongside the widespread adoption of social networks and related services, have facilitated the creation and active development of new social platforms. These platforms significantly enhance the effectiveness of social commerce by expanding opportunities for users to make purchases, share reviews, and exchange recommendations in an interactive environment that suits their needs.Summarizing the ideas presented in the article, several key conclusions highlight the complex and multifaceted nature of social commerce. It combines social interactions with commercial activities, regarded by the scientific community as a multi-component and complex phenomenon. Social commerce encompasses various aspects, including modern technologies, the impact of social environments, diverse marketing strategies, consumer behavior patterns, and processes focused on creating and enhancing value for consumers. To gain a deep understanding of social commerce, it is essential to comprehensively analyze all these approaches, as each contributes uniquely to the overall structure of this phenomenon, helping to form a complete picture of its nature. Only a holistic approach can reveal the full scope and complexity of social commerce.
This research aims to test the consequences of endorsements from social media influencers (SMIs)/Internet Celebrities (IC) on consumer trust in marketing campaigns, and how this in turn, impacts impulse purchases of branded cosmetics SMIs. The research focuses on five key elements that encourage impulsive purchases: SMIs popularity, audience identification with the SMIs, admiration for the SMIs, perceived social distance, and the perceived compatibility between the cosmetics brand and the influencer. A survey of 97 internet celebrity or influencer followers in India was conducted, revealing that trust is essential for influencing impulse buying behavior. Both identification with the influencer and perceived fit greatly increases impulsive purchases. Conversely, a great deal of social distance can erode the relationship between trust and impulsive purchases. The study suggests that branded cosmetics should collaborate not only with popular but also relevant SMIs with whom people relate more. SMIs that project a modest and relatable image are more likely to build consumer trust, thereby amplifying the effectiveness of their endorsements. The primary findings of this research have been that trust plays a crucial role in impulse buying of branded cosmetic products. This research also demonstrates that identification and adoration with SMIS impacts impulse buying as more people go toward their own personality closer to SMIS and are ready to buy products when recommended by them.
The chapter will attempt to explore the potential of AI and marketing analytics in enhancing the brand affinity. From the study, the role of artificial intelligence and the marketing analytics in the today's technology driven market can be assessed intelligently. The gap in current marketing intelligence can be addressed by using the AI and analytics tool. The study aims to analyse how leveraging AI and analytics in the marketing activities can assess the brand love among the customers. This chapter covers how AI and Analytics will enhance brand love using marketing intelligence. It explains how AI Technologies and Marketing analytic helps to manage customer sentiment and experiences. The chapter uses a systematic literature review and case studies. The outcome of this chapter will help the marketers to come up with strategies to present day tech savy consumers. By leveraging AI and Analytics, we can predict the brand love more accurately.
The pervasiveness of the Internet has propelled governments to provide online services through e-government platforms. Various countries are at different maturity levels regarding e-government adoption; where some developed countries such as Estonia are leading, whereas some developing countries are lagging. The uniqueness of every country calls for the need to understand the factors that promote e-government adoption. E-government adoption is a growing area of research where numerous studies have and continue to be conducted to test and validate new and emerging e-government adoption models. However, from a citizen’s perspective, the lack of e-government awareness and the prevalence of privacy and information security threats are regarded as significant inhibitors to e-governance adoption. Thus, it is crucial to consider such factors when promoting e-government adoption. Through a systematic literature review, this study aimed to review the e-government empirical studies conducted from 2013 to 2022 from the IEEE, Science Direct and EBSCO Host databases to identify the dominant e-government adoption frameworks and determine if information security controls, privacy controls and e-government awareness were previously included. Out of the 51 articles synthesized, a security, privacy and awareness gap in the existing e-government adoption frameworks was identified; hence, a security-based e-government conceptual framework is proposed. The proposed conceptual framework extends the technology acceptance model (TAM). This study aims to contribute to the existing body of knowledge on e-government adoption and the respective theoretical frameworks. The proposed framework needs to be tested and validated in various contexts.KeywordsE-governmentTAMAdoption
Purpose
This research aims to extend the understanding of social capital in the context of short video-based content sharing in interest groups (IGs) in TikTok. First, we propose an integrated framework of social capital by considering the social capital at the horizontal level (i.e. circling social capital) and at the vertical level (i.e. hierarchizing social capital). Second, we examine the different effects of circling and hierarchizing social capital on TikTok users’ information behaviors and product purchase intentions.
Design/methodology/approach
In total, 525 valid responses from users of specific IGs on TikTok were collected via an online survey. Partial least squares-structural equation modeling (PLS-SEM) was employed to analyze the survey data.
Findings
The results show that circling social capital positively affects information acquisition and sharing, while the main effects of hierarchizing social capital on both information acquisition and sharing are insignificant. The interaction effect analysis suggests that circling social capital can either weakens the negative effect of hierarchizing social capital on information acquisition or strengthens the positive effect of hierarchizing social capital on information sharing. Further, both information acquisition and sharing can positively affect purchase intention.
Originality/value
This research distinguishes information behavior from purchasing behavior and sheds light on the connections between these behaviors in the research context of TikTok. Further, this study extends the traditional social capital theory by considering both horizontal social capital (i.e. circling social capital) and vertical social capital (i.e. hierarchizing social capital), and explores their differential and interaction effects on information behaviors.
Social commerce can be defined as “an emerging trend in which sellers are connected in online social networks, and where sellers are individuals instead of firms” (Stephen & Toubia, 2010). Social commerce is becoming a critical platform in ecommerce, usually as a result of enhanced reputation of social-networking platforms including Facebook, Linkedln, and Twitter (Liang & Turban, 2011, Ho, Li, & Stephen & Toubia, 2010). With the recognition and business pride of social networking web sites and any other social media, social trade emerged as a conceived term in 2005, showing a rising (and developing) phenomenon (Rubel, 2005; David Beisel, 2024; Stephan & Toubia, 2010). The concept of social commerce initially appeared in 2005 via Yahoo! (Rubel, 2005). On November 11 of the same year, Yahoo! launched Shoposphere, one of the first forays into this idea (Rothberg, 2005). The site included a "Pick Lists" feature that enabled consumers to express opinions, comment on products, and give feedback, creating an extra enticing and network-based purchasing experience. The availability of user-generated content rendered Shoposphere a blog-like look, further increasing consumer engagement (Rothberg, 2005). In addition, social commerce has contributed greatly in bringing in new customers into online markets. Social media integration has facilitated peer-to-peer sharing, which is now a prominent trend, allowing companies like Uber and Airbnb producing very large amounts of user- generated content (Stephen & Toubia, 2010). This change is referred to as a shift towards a multi-user e-commerce system by Yamakami (2015), whereby interactions beyond company- consumer relationships are extended to highlight collaboration and online purchasing with social interaction. Therefore, social trading is a sort of trade that takes place online and offline through media with social purposes (C. Wang and Zhang 2012). Social commerce (or social trade) refers to a subcategory of e-commerce that utilizes social networking sites and Web 2.0 features (Busalim & Hussin, 2016). Social commerce defined by (Baghdadi, 2016) is defined as “a new way of engaging in trade, which includes collaboration between all actors within the value chain”. (Dennison et al., n.d.) applied IBM’s definition that “social commerce is the concept of word of mouth applied to e-commerce, and it is the combination of a retailer’s products, online content and shoppers’ interaction with that content”. Previous studies have defined s-trade as employing on line technologies to allow humans to have interaction through virtual answers and networks (Busalim & Hussin, 2016; Lin et al., 2017). In conventional e-commerce, buyers scan a virtual list of options prior to purchasing a product. Indeed, it is in the social-media platform. that buyers and sellers come to trade openly (Cao et al., 2020). From the definitions, this is clear that the notion of s-trade is still ambiguous until these days. Definitions view s-trade as “a multi-user-based e-commerce” (Yamakami, 2015), “technology- enabled shopping experiences” (Shen & Eder 2011), or “a various types of commercial and social activities” (Liang & Turban, 2011).
Low Carbon Tourism has elicited significant academic interest in recent years due its important role in the promotion of environmentally responsible destinations. The appearance of different climate problems, such as the generalised increase in temperatures, droughts or rising sea levels, has challenged the current economic model, with tourism being of the main economic actors responsible for this situation. The main objective of this article is to identify the lines of research related to Low Carbon Tourism through the application of mapping techniques. The content analysis performed, by applying the VOSviewer tool for the 2010-2024 period, allows the identification of four relevant lines of research: Sustainable Development in Tourism; Relationship between Carbon Footprint and Tourism; Effects of Climate Change in Tourism and Low Carbon Tourism in China; with Sustainable Development in Tourism; and Effects of Climate Change on Tourism being the lines with the greatest academic impact and relevance in the final years of the period that is the subject of this study.
Despite the increasing academic focus on green entrepreneurship and numerous studies investigating the relationship between green entrepreneurial orientation and green innovation as well as the findings on a positive correlation between the two, green entrepreneurial innovation (GEI) has been overlooked Consequently, there is a necessity to investigate GEI in small and medium enterprises (SMEs) within emerging nations. Notwithstanding scholarly research advocating for the adoption of social media platforms (SMP) by enterprises, there remains an insufficient understanding of whether SMP can function as a mechanism via which relational social commerce capability (RSCC) influences GEI in SMEs. This research aims at delving into the interconnection between SMP and GEI in SMEs. Alternatively, the current study intends to investigate how RSCC mediates the relationship between SMP and GEI. We executed three rounds of survey data gathering, separated by a one-year interval. Data utilized in this study were drawn from samples of respondents employed by SMEs at three distinct points in time: pre-COVID-19 pandemic, during the COVID-19 pandemic, and post-COVID-19 pandemic. Structural equation modeling was made use to investigate the hypothesized interconnections. Results from the empirical study show that SMP and GEI are significantly and substantially correlated. Additionally, RSCC partially mediates the relationship between SMP and GEI. This study provides a distinctive viewpoint on how SMP might promote RSCC to achieve optimal outcomes in GEI inside SMEs in a developing country, where no prior initiatives of this magnitude have been undertaken. Gaining a deeper understanding of this research helps SME executives identify and implement tactics to boost the efficiency and effectiveness of SMP implementation, which in turn promote RSCC and GEI.
Given the significance of social commerce, extensive research has been conducted from various perspectives, resulting in numerous reviews and meta-analytical papers. However, these previous studies have highlighted information gaps and variations in approaches. Therefore, there is a need for a comprehensive examination of social commerce research, encompassing past, present, and future themes, as well as an investigation into additional features of social commerce. To address this need, the present study undertakes a comprehensive thematic review of social commerce research for two distinct periods: 2008–2018 and 2019–2022. Bibliometric analyses were conducted using data extracted from the Web of Science database. The research employed science mapping techniques through the utilization of SciMAT and VOSviewer software. The findings of this study identified several themes related to social commerce during the first period, including product, perceived sociability, impulse buying, information technology, motivation, mobile commerce, and others, which were extensively explored. In the second period, themes such as UTAUT, SMEs, perceived risk, live stream, SOR (stimulus-organism-response), and the concept swift guanxi received significant attention. These findings, among others, contribute to the evolving understanding of the social commerce concept. By conducting a comprehensive thematic review and employing bibliometric analyses, this research fills existing knowledge gaps and provides a broader understanding of social commerce research across different periods. The findings shed light on the evolution of social commerce and pave the way for future investigations in this field.
Resumo | Este estudo trata da imagem das Cidades Criativas em Gastronomia da United Nations Educational , Scientic and Cultural Organization (UNESCO). A questão de pesquisa é: Como a relação entre imagem, gastronomia e turismo criativo vem sendo tratada em pesquisas cientícas? O objetivo geral é apresentar uma Revisão Sistemática da Literatura (RSL) sobre a relação entre cidades criativas e imagens de destinos turísticos, a partir da gastronomia, nos contextos nacional e internacional. A pesquisa é exploratória e descritiva, com abordagem multimétodos e utilizou-se dos softwares Mendeley, Excel, Power BI e Iramuteq. A RSL proposta analisa a produção cientíca em forma de artigos cientícos nas principais bases de dados (nacional e internacional) sobre a temática. A amostra contemplou 66 artigos cientícos. Constatou-se que é inegável a relevância da Rede de Cidades Criativas da UNESCO (RCCU) para a discussão central sobre a imagem das cidades criativas em gastronomia e o desenvol-vimento de destinos turísticos. A pesquisa apresenta-se como um esteio relevante para que a RCCU consolide seus objetivos, atendendo um ponto sensível em comum entre a divulgação da gastronomia e a imagem de destinos turísticos, qual seja: a sustentabilidade. Palavras-chave | Imagem de destinos, cidades criativas, gastronomia, turismo criativo, sustentabilidade Abstract | This study deals with the image of the Creative Cities in Gastronomy of the United Nations
The study entitled "An Analysis of Causal Factors Influencing the Use of Social Commerce Platforms on Private Online Consumption in Thailand" aims 1) to examine the alignment of the structural equation model of causal factors influencing the use of online social commerce platforms with empirical data, and 2) to study the potential consumption through online social commerce platforms on national income multiplier effects. This research employs a mixed methodology, combining quantitative research using questionnaires to collect data from 400 users of social commerce platforms in Thailand, while percentages and frequency distributions are utilized to analyze demographic characteristics. It also utilizes hypothesis testing with Structural Equation Modeling (SEM) for data analysis. Qualitative research methods involve interviews with 9 users of social commerce platforms in Thailand, and documentary research is also conducted, followed by content analysis. The study findings reveal that social factors, motivation, technology, platform characteristics, and economic factors directly influence the use of social commerce platforms. Additionally, the use of online social commerce platforms is indirectly influenced by motivational factors through social, technological, platform characteristics, and economic factors. The research highlights practical implications for social commerce platform providers and online shopping markets, emphasizing the importance of developing social support systems, motivational strategies, and technological advancements to enhance customer satisfaction and facilitate platform migration. Focusing on these issues, social commerce platforms can attract and retain users, leading to increased participation and usage.
Digitalization is a challenge of the current environment, and the digital transition has extended to the audit profession. It affects the technology used by clients and the pressure on auditors by audit regulations to apply and use computer-assisted audit techniques (CAATs). The results of specialized literature indicate that the application and use of CAATs in auditing practice are limited. Thus, the present research aimed to investigate the factors that could influence the use of CAATs by auditors, based on the Unified Theory of Acceptance and Use of Technology (UTAUT). The empirical investigation consisted of 112 questionnaires that were analyzed by external auditors. The research results indicated a positive influence on the behavioral intention to use CAATs, which was influenced by performance expectations and facilitating conditions. In contrast, effort expectations and social influence did not affect the behavioral intention to use CAATs. We conclude that management should have a greater involvement in encouraging the use and application of CAATs, including supporting the process with the necessary resources. This work augments the knowledge of the factors that influence the behavioral intention to use CAATs among auditors in Romania and can be a useful resource for practitioners. ■
Older adults are often underserved and marginalized in technology engagement due to their reluctance and the barriers they face in adopting and engaging with mainstream technology. However, Pinxiaoquan, a social feature of an e-commerce platform in China, has gained a large number of older users. This work investigates how and why Chinese older adults use Pinxiaoquan, aiming to unveil the underlying logic and inspire technology-inclusive design for older adults. To this end, we conducted a mixed-methods qualitative study over two years, which included online observation, and semi-interview. We found that Pinxiaoquan's success among Chinese older adults is mainly due to its ability to inspire technological autonomy and provide social-emotional support. Rather than simply lowering technical barriers or asking them to seek assistance outside the platform, Pinxiaoquan builds a semi-acquaintance online community based on location and social ties that allows older adults to realize technical support mutually. Pinxiaoquan also fulfills their social-emotional needs, such as free online expression, memory creation and preservation, relationship expansion and maintenance, and a sense of value. Our research contributes to the HCI community by highlighting the importance of improving older adults' technology autonomy following their specific social and cultural background and social-emotional needs. This work also provides unique insights and implications for building inclusive technology for the growing aging population.
Live streaming e-commerce to promote products and sales has become a trend for online sellers. Although some studies have focused on consumers' behavioral intentions, few studies have investigated the social support provided by streamers in the context of live streaming e-commerce. Based on S-O-R model, the aim of this study is to explore the impacts of social support on consumer behavior intention. An online survey method was adopted to test the research model, and 471 valid surveys were gathered. This study employed the PLS-SEM method to verify the hypotheses. The results of this study reveal that emotional support and financial support exert positive effects on shopping enjoyment and thus affect consumer purchase intention. This study not only extends the theories of social support, but also offers practical implications for streamers to improve the quality of their streaming and increase revenue.
The advancement of digital technology and the growth of e-commerce have significantly changed the shopping channel choice behaviour (SCCB) of customers. This article presents a systematic literature review on the SCCB of customers using a hybrid review approach that includes bibliometric analysis and review using ‘Preferred Reporting Items for Systematic Reviews and Meta-Analyses’ (PRISMA) guidelines. The search was conducted across the Web of Science and Scopus databases, covering 20 years. The bibliometric analysis was conducted to understand the spatio-temporal trends and frequency analysis in this domain. It also helped us to identify the key themes, such as retail channel dynamics, the impact of customer’s attitudes and motives, socio-economic factors, in-store retail accessibility, and product attributes on SCCB. The bibliometric analysis revealed the emergence of key themes, such as retail channel dynamics, the impact of customer’s attitudes and motives, socio-economic factors, in-store retail accessibility, and product attributes on SCCB. The systematic literature review highlighted significant variations in shopping behaviour across product types. It also elucidated the necessity for targeted research frameworks, particularly in the developing countries. The identified indicators offer actionable insights for practitioners, aiding in the formulation of marketing strategies, targeted market identification, and retail outlet location choices for retailers. This facilitates informed decision-making, enhancing retail performance and consumer engagement in both in-store and online channels.
The objective of this report is to propose comprehensive guidelines for systematic literature reviews appropriate for software engineering researchers, including PhD students. A systematic literature review is a means of evaluating and interpreting all available research relevant to a particular research question, topic area, or phenomenon of interest.
Systematic reviews aim to present a fair evaluation of a research topic by using a trustworthy, rigorous, and auditable methodology. The guidelines presented in this report were derived from three existing guidelines used by medical researchers, two books produced by researchers with social science backgrounds and discussions with researchers from other disciplines who are involved
in evidence-based practice. The guidelines have been adapted to reflect the specific problems of software engineering research.
The guidelines cover three phases of a systematic literature review: planning the review, conducting the review and reporting the review. They provide a relatively high level description. They do not consider the impact of the research questions on the review procedures, nor do they specify in detail the mechanisms needed to perform meta-analysis.
Social commerce has evolved quickly in practice and gained attention in the IS discipline. However, trust has remained a vital component and is dominantly worth investigating. The purpose of this study, therefore, is to examine the roles of social commerce constructs and social support constructs (i.e., emotional support and informational support) in establishing trust on online community platforms. The study will apply the theoretical foundation of social commerce constructs proposed by Hajli. In order to provide a detailed understanding of the proposed model, a quantitative study involving a survey data gathered from online communities in Malaysia, including Facebook, Trip Advisor and LinkedIn was conducted. The data was analyzed and hypotheses were tested with structural equation modeling (SEM). Our results shed some lights on social commerce literature. The findings show that there are significant effect of social commerce constructs on social support, namely the emotional and informational support, and in turn, on trust- building.
The purpose of this research article is to identify the key requirements of social collaboration solutions which could be used within the Smart commerce concept. The research aims to find what factors and features of social collaboration software are important to different categories of customers. The research also determines online promotion channels that increase the diffusion of social collaboration software. The result of the analysis shows the key factors of social collaboration software for customers. The most influential factors that affect the adopter's decision are: Ease of use, Security, Price, and Design and Interface. The most useful online promotional channels for social collaboration software are: Search Engines, Official Websites and Blogs, Social Networks, and Email. Furthermore, the most valuable key-factors and online promotional channels are suggested to customers depending on their gender, age, level of innovativeness, type and size of their business.
Social commerce communities connect sellers and buyers and allow them to seek and share product information. Although the extant literature has realized its economic value, there has been little research on the antecedents of network closure in social commerce community with longitudinal network data. Based on the evolving network data from Taobao.com and network closure theory, this research analyzes network closure among sellers and buyers in social commerce community and we find that the drivers of network closure in social commerce communities vary across different types of relationships. Specifically, (1) from the buyers’ perspective, they are more likely to follow other buyers and sellers through observational learning and contagion; (2) from the sellers’ perspective, the homophily, reciprocity, and structural equivalence are the general mechanisms that drive them following both buyers and sellers; (3) the results from the robustness checks show that the findings would not be affected by the sample size or the duration of the observations.
There is an increasing interest regarding the use of electroencephalography (EEG) in social commerce and electronic commerce (e-commerce) research. There are several reviews in the field of social commerce or e-commerce; these have great potential value and mining them is fundamental and significant. To our knowledge, EEG is rarely applied to study these. In this study, we examined the neural correlates of social commerce reviews (SCRs) and e-commerce reviews (ECRs) by using them as stimuli to evoke event-related potentials. All SCRs were from friends through a social media platform, whereas ECRs were from strangers through an e-commerce platform. The experimental design was similar to that of a priming paradigm, and included 40 pairs of stimuli consisting of product information (prime stimulus) and reviews (target stimulus). The results showed that the P300 component was successfully evoked by SCR and ECR stimuli. Moreover, the P300 components elicited by SCRs had higher amplitudes than those elicited by ECRs. These findings indicate that participants paid more attention to SCRs than to ECRs. In addition, the associations between neural responses and reviews in social commerce have the potential to assist companies in studying consumer behaviors, thus permitting them to enhance their social commerce strategies.
Social commerce, the use of social media in e-commerce, has become an attractive means for companies to generate business value from consumers' online social interactions. However, many e-commerce companies today are still trying to understand which factors drive consumers to participate in social commerce. While first empirical studies have examined one or more factors that influence consumers' adoption of social commerce, the findings of these studies are scattered across the literature base, sometimes not transparent, and not straightforwardly comparable. To synthesize these findings, we conduct a systematic literature review. After analyzing 38 academic publications, we contribute a comprehensive and structured list of factors that influence consumers' adoption of social commerce. The results of our work provide implications for future research to develop a more complete understanding of consumers' adoption of social commerce. Practitioners can use our results to improve the effectiveness of their social commerce initiatives.
Technology advances enable people to trade and sell their own travel products, which in turn create numerous transformation changes into the tourism industry structure, the nature of tourism products and experiences, the competitiveness of traditional and new tourism players and the process creating (social) value in tourism. This paper investigates the application and implications of collaborative commerce in tourism and provides suggestions for future research.
The purpose of this study is to examine the consumer values (i.e., hedonic, social, and utilitarian value) in choosing restaurants and how these values affect consumers' attitude toward and behavior intentions in the context of social commerce. This study is to develop a comprehensive conceptual framework that empirically examines and explains the salient factors that influence restaurant guests' behavior intentions regarding social commerce. A sample of 232 undergraduate students at a university in the Midwest United States was employed for this study using structural equation modeling. This research provides preliminary evidence that certain value dimensions (i.e., hedonic and social value) affect behavior intentions to use social commerce. In particular, utilitarian value has an influence on attitude toward social commerce, which in turn has a positive influence on consumers' behavior intentions. In addition, the results of this study revealed that there are significant differences between high- and low-technology experience group in the proposed model. Further discussion and implications are provided in the text.
The aim of this study is that of providing some indications about the involvement of social networks into the agrifood system even if in Italy it has just been approached compared to other countries, a reason why we do not have relevant statistics and enough literature. Social media, in fact, may contribute to formulate the right communication strategies in the different contexts, both traditional and virtual, by understanding at first what impact social media have through "word of mouth" among consumers concerning purchase trend of other ones, including the "experience sharing" in both contexts that may affect final purchase differently. (C) 2013 The Authors. Published by Elsevier Ltd.
Social media has become the modus operandi of the 21st century. Building on the foundation of Web 2.0, social media applications have facilitated unprecedented growth in human interaction in modern times. This study attempts to study the impact of social media marketing medium toward brand loyalty and purchase intention in Generation Y. Surveys are conducted randomly and questionnaire distributed to undergraduate students of Malaysian universities. Two Hundred questionnaires were distributed with 75 percent response rate. Two propositions and three hypotheses were developed and tested using mean and regression analysis. The result indicated that the online marketing communications, specifically, E- WOM, online communities and online advertisement are effective in promoting brand loyalty and product purchase intention through company website and social media platforms. These finding indicate to marketing managers that social media marketing medium has become an important marketing tool to reach emerging younger generation consumers. It also indicates that cyber world play an important role in modern marketing, enabling marketers to reach customers faster and more efficiently. This research provides a guideline for global brand players in considering applying social media marketing activities to promote their product, and brand.
Social commerce sites (SCSs), a new model of social media, provide fertile ground for customers to communicate their opinions and exchange product- or service-related information. Given the significant opportunities related to the use of social media data for customers' insight, we explore the factors driving information sharing behavior on SCSs. In this paper, we propose and empirically test a comprehensive theoretical model for customer information sharing behavior through analysis of online survey data as well as network and behavioral usage data of over four months from 1177 customers in a SCS. The research model was empirically validated with the use of both subjective and objective data in a longitudinal setting. Our results show that customer information sharing is influenced by both individual (i.e., reputation and the enjoyment of helping others) and social capital (i.e., out-degrees' post, in-degrees' feedback, customer expertise and reciprocity) factors. This study contributes to the existing literature by highlighting the role of directed social network in customer information sharing behavior on SCSs. We believe that the results of our study offer important insights to the IS research and practice.
Social commerce (s-commerce) is linked to social shopping, social sharing, and described as focusing on sharing information with affiliate shoppers. Due to the increased popularity of private and public social networking websites, this empirical study extends Ajzen’s (1991) theory of planned behavior (TPB) to explain and predict purchase intention after interacting with an s-commerce website. Results indicate significant support for the theoretical paradigm from an s-commerce perspective. No significant effects emerged from the multiple linear regression conducted to determine whether the current study’s theoretical paradigm confirmed to the applicability of the theory of planned behavior. Using a path model as outlined by Ajzen (2004), the path analysis produced good support for the model in which purchase intention had a positive relationship with attitudes, subjective norm, and perceived control behavior. Analysis of attitudes, subjective norm, perceived behavioral control, and intentions revealed subjective norm had the greatest influence on purchase intention. Implications for theoretical and practical analysis are presented, along with recommendations for future research.
Purpose
– Social commerce sites offer fertile ground for users to communicate product information. Given that such sites have the potential to transform the way of doing business, it is clearly important for academics to understand user information sharing on social commerce sites. Existing research has considered motivations as core elements of user information sharing in online communities. The purpose of this paper is to advance the theoretical understanding of user information sharing by investigating differences in motivations between the different user types of social commerce sites: sellers and buyers, and the impact on social commerce.
Design/methodology/approach
– The authors conducted an empirical study by analyzing data from a social commerce site in China, including panel data ( n =892) and survey data ( n =913).
Findings
– This research showed that user type (i.e. sellers and buyers) plays an important moderating role in user information sharing: sellers exert a positive moderating effect on utilitarian and social motivations, while buyers are found to have a positive moderating effect on hedonic motivation.
Research limitations/implications
– This study contributes to existing literature, not only by exploring the antecedents of user information sharing on social commerce sites from utilitarian, hedonic and social dimensions, but also by providing an evaluation of user types (i.e. sellers and buyers). The authors believe that the results of this study offer important and interesting insights for IS research and practice.
Practical implications
– This study will enhance social commerce site managers’ understanding of better features for information sharing and differences in motivation between sellers and buyers. This could improve the effectiveness of encouraging strategies and help social commerce sites be more sustainable in the highly competitive contemporary environment.
Originality/value
– Based on social exchange theory and motivation theory, this paper takes user types into account, and postulate that user type (i.e. sellers and buyers) plays a moderating role in the relationships between motivations (i.e. utilitarian, hedonic and social motivation) and user information sharing intention on social commerce sites.
The emergence of social commerce has brought substantial changes to both businesses and consumers. Hence, understanding consumer behavior in the context of social commerce has become critical for companies that aim to better influence consumers and harness the power of their social ties. Given that research on this issue is new and largely fragmented, it will be theoretically important to evaluate what has been studied and derive meaningful insights through a structured review of the literature. In this study, we conduct a systematic review of social commerce studies to explicate how consumers behave on social networking sites. We classify these studies, discuss noteworthy theories, and identify important research methods. More importantly, we draw upon the stimulus-organism-response model and the five-stage consumer decision-making process to propose an integrative framework for understanding consumer behavior in this context. We believe that this framework can provide a useful basis for future social commerce research.
Nowadays the concept of knowledge mapping has attracted increased attention from scientists in a variety of academic disciplines and professional practice areas. Among the most important attributes of a knowledge map is its ability to increase communication and share common practices across an entire organisation. However, despite being a promising area for research, the knowledge maps community lacks a widespread understanding of the current state of the art.
This paper aims to address the new trend of social commerce as electronic commerce leverages Web 2.0 technologies and online social media. The infusions of new technologies on the World Wide Web connect users in their homes and workplaces, thus transforming social formations and business transactions. An in-depth study of the growth and success of a social commerce site, Facebook was conducted. The investigation is finalized with a triad relational model which reflects socioeconomic life in the Internet today. The following three concepts work jointly to form a global community that has already started to take the place of traditional commerce and socialization: Web 2.0 technology, E-commerce, and online social media. A discussion of the research findings indicates that social commerce networks are sustainable because of the various incentives given to users as they collaborate with others regardless of their identity and location. The focus of this article is to increase understanding on quickly developing Web 2.0 based social media and their subsequent effects on the emerging social commerce.
Social commerce mediated by social media and social network platforms has led to the development of new business models in e-commerce and digitized the consumer decision journey. Social interaction is considered as a prerequisite for successful social commerce since consumers now expect an interactive and social experience while making purchase decisions. Drawing on word of mouth (WOM) and observational learning theories, we conceptualize social interactions in social commerce environments into two forms: WOM communication and observing other consumers' purchases, and examine their impact on consumer purchase intention and actual purchase behavior. Analyzing primary data (n = 217) collected from surveyed active consumers within social commerce sites at two stages (pre-purchase and post-purchase), we found that positive and negative valence WOM, WOM content, and observing other consumers' purchases significantly affect consumers' intention to buy a product, thereby increasing the likelihood of actual buying and sharing product information with others on social commerce sites.
Online social referral incentive systems help attract new customers to commercial websites by leveraging existing customers' social networks. Designing an appropriate referral incentive system allows websites to increase their customer base and enhance sales. This study integrates ultimatum game (fairness) theory with construal level theory to investigate the impacts of social distance, social norms, and monetary incentives on the performance of different designs of online social referral incentive systems. Incentivized controlled lab experiments and randomized field experiments with an online ticketing company were conducted to test hypotheses on the effects of social distance, social norms, and the split of the referral bonus (monetary incentive) between a proposer and a responder on the performance of online social referral incentive systems. Results show that with small social distance (friends), the success of a referral is determined by the social norms between friends but not by the split of the referral bonus; with a large social distance (acquaintances), the success of the referral is determined by a fair split of the bonus between acquaintances. By studying the dynamics of social networking, our research stresses the role of social elements in ecommerce when rational economic rules can be potentially harmful. © (2013) by the AIS/ICIS Administrative Office All rights reserved.
Social commerce contributors share their experiences of products and services, which is appreciated by consumers and online retailers. Since such user generated content is especially valuable for online retailers, they incentivize the most active contributors to provide further product reviews. Our paper aims to explore the question of which user characteristics can be used to identify contributors of valuable contents. This is especially relevant for newly registered users who have not extensively contributed yet. Drawing upon the literature on social information processing, signaling and communication theory, we explore how individual user characteristics published in the personal user profiles are associated with the actual contribution activity. Therefore, we analyze more than 30,000 user profiles from amazon.com. We find that information disclosure, emotiveness and problem-orientation are related to the contribution activity. Consequently, our results advance the understanding of who are the most active contributors and provide new implications for theory and practice. © (2013) by the AIS/ICIS Administrative Office. All rights reserved.
This study investigated how presence affected consumer intention to participate in a social commerce site (i.e., the consumer participation intention of social commerce through the presence role), based on the stimulus-organism-response framework. An organism's internal states in the social commerce context were composed of two tiered states: presence and affect/cognition. For the benefit of parsimony, social presence and telepresence were chosen as dimensions of presence, and usefulness and enjoyment were chosen as affect and cognition variables. The analysis results showed that social presence and telepresence played mediating roles between stimuli (interactivity and vividness) and the sequent internal states (usefulness and enjoyment). Both usefulness and enjoyment significantly influenced the response of the organism (i.e., the consumer participation intention of social commerce). Therefore, it was demonstrated that the mediating role of presence was of great significance in the social commerce context.
Due to the increasing popularity of social media, social commerce has been emerging as a new form of e-commerce. As a driving force of the popularity and growth of social commerce, electronic wordof- mouth (eWOM) plays an important role during the process of consumers' purchase decision making in social commerce. There are adequate studies that have offered a broad view on what makes the helpfulness perception of eWOM. However, little research has investigated the effect of argument strength and source dynamism of eWOM. Drawing on Stimulus-Organism-Response (S-O-R) model and Elaboration Likelihood Model (ELM), an integrated research model is proposed and tries to explore the impact of argument strength and source dynamism of eWOM on consumers' affective response and cognitive response and how do they affect the formation of consumers' purchasing intention. We expect that our study can make a contribution to theoretical development and provide some guidance for retailers to carry out a better management strategy of eWOM.
Shared services have gained significance as an organizational arrangement, in particular for support functions, to reduce costs, increase quality, and create new capabilities. The information systems (IS) function is amenable to sharing arrangements and information systems can enable sharing in other functional areas. However, despite being a promising area for IS research, literature on shared services in the IS discipline is scarce and scattered. There is still little consensus on what shared services is. Moreover, a thorough understanding of why shared services are adopted, who are involved, and how things are shared is lacking. In this article, we set out to progress IS research on shared services by establishing a common ground for future research and proposing a research agenda to shape the field based on an analysis of the IS literature. We present a holistic and inclusive definition, discuss the primacy of economic-strategic objectives so far, and introduce conceptual frameworks for stakeholders and the notion of sharing. We also provide an overview of the theories and research methods applied. We propose a research agenda that addresses fundamental issues related to objectives, stakeholders, and the notion of sharing to lay the foundation for taking IS research on shared services forward.
Advances in computer and communication technologies have accelerated e-commerce. One yet-to-be-explored area of e-commerce involves social commerce. Social commerce can extend the e-commerce experience through extensive use of technology. The author provides a view model of social commerce in order to provide a base point for exploring the next generation of e-commerce. The proposed model provides 6 stages of commerce for social facilitation: identification, negotiation, order, payment, delivery, and use. Each stage is considered in terms of its social facilitation of service engineering.
With its substantial user base, Facebook has been an influential marketing tool that marketing practitioners seek to exploit. Facebook provides brand or business fan page for business to recruit fans and build direct and interactive communication means with them. Despite major brands have created their respective fan page and have drawn substantial amount of users, relatively little attention has been devoted in exploring factors that affect users' intention to engage with the brand fan page. To fill this research gap, this study proposed a framework to look into this phenomenon. A preliminary collected data was analyzed using PLS. Results suggested that relationship quality is an influential factors of users' usage. Moreover, both utilitarian and hedonic value should be considered for brand fan page to maintain high quality relationship with their fans. © (2013) by the AIS/ICIS Administrative Office All rights reserved.
This study attempts to investigate how culture plays a role in influencing peers' online shopping intentions in social commerce, conducted in Facebook - a social network site in a cross-national settings. We are interested in studying the moderating effects of the culture factor on the relationship between social interaction and social commerce purchasing intention, and trust; and the mediating effect of trust on the relationship between social interaction and social commerce purchasing intention. In order to achieve this, social influence theory and social impact theory are investigated and used to explain how social interaction potentially causes the intention to purchase in a social commerce context. And, Hofstede's dimensions of national culture are considered in analyzing the culture difference among the countries considered in this study. Online surveys are conducted. The expected main outputs from this research are: (1) better understanding of the impact of culture difference on social commerce user's behavior and acceptance, (2) better comprehension of the social commerce user characteristics and the impacts of social interaction on social commerce purchasing decision to design appropriate level of interactions with customers and fans in word-of-mouth marketing, and (3) a foundation for a better conception of social commerce model in the future.
In just one decade, social media have revolutionized the life of many people and thus attracted much attention, not only from industry, but also academia. To understand how researchers have adopted theories, used research constructs, and developed conceptual frameworks in their studies, a systematic and structured literature review based on five leading online academic databases was conducted. A total of 46 articles on social media research were consolidated and analyzed, including empirical studies spanning from 2002 to 2011. A collection of theories/models and constructs/attributes adopted in these articles is summarized and tabulated for easy reference and comprehension of extant research results. A causal-chain framework was developed based on the input-moderator-mediator-output model to illustrate the causality between the research constructs used and the conceptualization of theoretical models/theories proposed by previous researchers. Because social media cover a wide range of research topics, the literature review may not be exhaustive. However, the proposed causal-chain framework and suggested research directions may be regarded as representative references for future research in the subject area. This is believed to be the first comprehensive literature review of social media research, and it contributes to a better understanding of the causes and effects of the adoption and usage of social media.
As a new type of e-commerce, social commerce is an emerging marketing form in which business is conducted via social networking platforms. It is playing an increasingly important role in influencing consumers’ purchase intentions. Social commerce uses friendships on social networking platforms, such as Facebook and Twitter, as the vehicle for social sharing about products or sellers to induce interest in a product, thereby increasing the purchase intention. In this paper, we develop and validate a conceptual model of how social factors, such as social support, seller uncertainty, and product uncertainty, influence users’ purchasing behaviors in social commerce. This study aims to provide an understanding of the relationship between user behavior and social factors on social networking platforms. Using the largest social networking website in China, renren.com, this study finds that social support, seller uncertainty, and product uncertainty affect user behaviors. The results further show that social factors can significantly enhance users’ purchase intentions in social shopping.
The rapid development of e-commerce has expedited knowledge growth in the e-commerce social community. Knowledge sharing among online users has exhibited a nonlinear dynamic evolution. This paper examines the evolutionary process of knowledge sharing among users of the social commerce; builds an evolutionary game model to depict knowledge sharing phenomenon in the virtual community; and develops a mixed learning algorithm based on individual user's historical game strategy, neighborhood user's strategy, and information noise. We design a computational model based on multi-agent theory and social network, and implement computational experimental system using NetLogo 5.0. We find that the proposed computational-experimental model can help decision makers simulate evolutionary process under various scenarios. The evolutionary game rule and social network structure significantly influence the degree of cooperation and knowledge sharing among users. The greater noise the network information has the less stable the users' behavior will be. One can thus identify an optimal initial cooperation rate to facilitate the system to reach equilibrium state quickly. Our study on the dynamic evolution of knowledge sharing behavior in the social commerce contributes to the theoretical development of literature and provides valuable decision-making support to managers.
The emergence of social media has demonstrated the empowerment of end-users with a transfer of power from sellers to buyers. Consumers have become able to generate content and share this in their networks with peers. Digital content generated by individuals has an economic value. Economic implications in the form of product sales through social interaction of individuals must now be taken into account by businesses. This has seen the emergence of social commerce, an important evolution in e-commerce. This paper draws on social support theory, social commerce constructs and information systems concepts, and proposes a conceptual model. This proposed model investigates the role of social media in facilitating online communication between consumers through social commerce constructs, leading to online social support. A survey has been conducted to examine the structural model. Data analysis using SEM-PLS reveals important factors indicating the role of social media in facilitating online communication through social commerce constructs, generating online social support and affecting consumers' behaviour, the value of social commerce for the market. Theoretical implications and practical implications of this study are explained in the end of the paper.
In recent years businesses large and small have jumped on the Social Commerce bandwagon, all in the hope of utilising social media services to facilitate various Social Commerce activities. Given the growing influence of social media on social, economic and political events globally, the rise in business interest in Social Commerce is not unexpected. This paper examines the Social Commerce activities of several Fortune 500 businesses. It analyses and categorises how businesses utilise social media to interact with customers, trading partners, employees and other important stakeholders. Two important themes have emerged, firstly, businesses utilise social media services mostly to facilitate Pre- and Post-transactional type Social Commerce activities such as marketing and customer support. Opportunities exist for businesses to leverage social media for transactional type Social Commerce activities such as purchase, payment, and order-fulfilment. Secondly, the business use of social media seems haphazard. Stakeholders wishing to succeed in Social Commerce will have to reformulate their strategies to take advantage of how users behave on social media services and opportunities to draw synergy from utilising an assortment of social media services. The paper contributes to theory by developing a taxonomy of Social Commerce activities. It contributes to practice by highlighting opportunities to engage in Social Commerce activities, in particular, to leverage opportunities from implementing Transactional Social Commerce.
This paper presents an experimental approach to compare the performance of alternative business process designs. We use an example case of an electronic group buying setting to demonstrate how our approach can be applied in practice. More specifically, we chose a standard business process, the sales process as implemented on a group buying platform, to illustrate how a business process may be redesigned in order to better meet the needs of customers. For that purpose, we introduce a social technology feature to support cooperation among buyers in the sales process and then analyze the performance impact of the proposed business process redesign. We combine principles from design science and experimental economics to aid the business redesign process. To allow for an experimental evaluation in a controlled laboratory setting, we implement a simplified prototype model and an experimental electronic group-buying platform in the laboratory. We then employ the methods of experimental economics to generate process performance data and evaluate the effectiveness of the new process model design in the lab that can provide valuable insights to platform managers for redesigning the real-world system. We posit that combining the principles of design science and experimental economics offers researchers a useful and cost-effective method to systematically evaluate theoretical predictions about process model design.
In recent years, social commerce which utilizes social and online media to aid E-commerce activities has gained major attention in E-business world. Social commerce is proven to affect the companies' business positively when integrated into existing E-business models. The rise of Web 2.0 technology and the boom of social networking sites also suggest the possibilities and potentials of adopting social commerce in E-business. This paper aims to explore the challenges associated with social commerce and strategies to have a successful adoption. Several related and well described frameworks, tips and guides have been studied to formulate a general guideline to increase the success rate of social commerce adoption in E-business. This paper serves as an overview to companies who are interested in adopting social commerce into their existing business.
This study first provides a stylized model that captures the essential features of the SC (Social Commerce) business. The model focuses on the relationship between key decision issues such as marketing inputs and revenue stream. As more SCs join the industry, they are inevitably faced with fierce competition, which may lead to sharp increase in the total marketing and advertising expenditure. This type of competition may lead the industry away from its optimal development path, and at worst, toward a disruption of the entire industry. Such being the case, another goal of this study is to examine the possibility that the tragedy of commons may occur in the industry. Our basic analysis presents Nash equilibria with both homogeneous and heterogeneous players. Under a symmetric situation with homogeneous SCs, our analysis specifies the conditions that the tragedy of commons can occur. Further discussions provide strategic implications and policy directions to overcome the shortcomings intrinsic to the current business model, and help the industry to sustainably develop itself toward the next level.
Social commerce, as a relatively new phenomenon, has attracted little research attention. This study aims to provide initial insights into the dynamics of customer participation in social commerce. Based on the stimulus-organism-response paradigm, this study develops a model to investigate the effects of technological features (perceived interactivity, perceived personalization and perceived sociability) of social commerce on customers’ virtual experiences (social support, social presence and flow) and subsequently their participation intention. The results indicate that social commerce intention is determined by social support, social presence and flow experiences. These experiences, in turn, are influenced by perceived interactivity, personalization and sociability features.
The buying and selling of goods and services are no longer limited to a general website or a physical store as social networks, such as Facebook or Pinterest, are heavily focusing on social commerce. Prior studies have analyzed impact of trust and culture on social commerce, design and interface aspects of it, and intention to use social commerce by general people. Our study is informed by the literature on information disclosure intention, and Communication Privacy Management theory and is motivated by the fundamental premise that intention to self-disclose in social commerce is affected by perceived ownership of information, privacy apathy, the risks and benefits of disclosure and fairness of information exchange. We analyzed data collected from 252 samples using the scenario method. The results show that shoppers’ information disclosure intention is driven by the fairness of information exchange, privacy benefits and privacy apathy.