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Online food delivery: A systematic synthesis of literature and a framework development
Abstract
This study aims to systematically review the extant literature on online food delivery. The literature on online food delivery is synthesised in terms of theories, contexts, methods adopted and analytical techniques used. The literature review suggests that online food delivery research has transitioned from website-based food delivery to online to offline, mobile application-based food delivery, and drone-based food delivery. Further, based on the synthesis, we have developed a conceptual framework that shows the frequently reported antecedents, mediators, moderators, and consequences in online food delivery literature. Moreover, by identifying overlooked areas of online food delivery research, some insightful future research directions have been proposed to further advance this research domain. This review contributes to the hospitality literature, specifically to the food delivery literature.
... A systematic literature review (SLR) "adheres to a strict scientific design based on explicit, pre specified, and reproducible methods" (Gopalakrishnan and Ganeshkumar, 2013, p. 10). Moreover, SLR is an effective approach for highlighting gaps in the literature that offer directions for future research in a domain (Corbet et al., 2019;Shankar et al., 2022). Accordingly, an SLR on OSF could provide significant insights to academics as well as practitioners (Kushwah et al., 2019). ...
... 2. Methodology 2.1 Review structure An SLR can be broadly classified into structured reviews, framework-based reviews, bibliometric reviews, theory development reviews and hybrid reviews. Structured reviews provide the details of widely used theories, contexts, constructs and methods in a research domain or topic Shankar et al., 2022). A framework-based review is based on some framework, such as the Antecedents, Decisions and Outcomes (ADO) framework (Paul and Benito, 2018;Paul and Feliciano-Cestero, 2021) while a bibliometric review examines the research trends (e.g. ...
... Of these types of SLRs, a structured SLR provides a comprehensive synthesis of the literature and highlights gaps in the literature that provide avenues for future research in a particular field or a topic (Corbet et al., 2019;Shankar et al., 2022). Thus, a structured SLR approach is believed to be an appropriate method to review the extant literature on OSF. ...
Purpose- The purpose of this study is to present a systematic review of the online service failure (OSF) literature and conduct an exhaustive analysis of academic research on this emerging research area.
Design/methodology- The current study has adopted a structured systematic literature review approach to synthesize and assess the OSF literature. Further, the study uses the Theory-Context-Characteristics-Methodology (TCCM) framework to propose future research directions in the OSF domain.
Findings- This systematic review shows that OSF research is still developing and remains mainly incoherent. Further, the study develops a conceptual framework integrating the frequently reported antecedents, mediators, moderator, and consequences in the extant literature. This review also synthesizes the theoretical perspectives adopted for this domain.
Research limitations- The study followed specific inclusion and exclusion criteria to shortlist articles. Further, articles published only in the English language were considered. Hence, the findings of this review cannot be generalized to all OSF literature.
Practical implications- This systematic review has classified antecedents into customers’ and service providers’ roles which will enable online service providers to understand all sets of factors driving OSF. It also synthesizes and presents service recovery strategies and emphasizes the role of online customer support to fix OSF.
Originality/value- The OSF literature is still developing and remains highly incoherent, suggesting that a synthesized review is needed. This study has systematically reviewed and synthesized the OSF literature to study its development over time and proposes a framework which provides a comprehensive understanding of OSF.
... This factor relates to some external conditions, such as the availability of facilities and time, which are free from individual control. Several prior studies have demonstrated that an individual's perceived behaviour control positively affects their attitude towards behaviour [4,26]. When a person has perceived that performing a specific behaviour is easy, they will have a positive assessment of the outcome of that behaviour, and therefore have a positive attitude towards that behaviour. ...
This study integrated the theory of planned behaviour (TPB), the norm activation model (NAM), and the stimulus–organism–behaviour–consequences theory (SOBC) to determine how external (subjective injunctive norm, subjective descriptive norm, and perceived behavioural control) and internal stimuli (ascription of responsibility, awareness of consequences) stimulate organisms (attitude towards energy saving and personal norms), which in turn drives behavioural responses (energy-saving intentions and behaviours) and their consequences (energy-saving habits). A sample of 1514 residents of five large cities in Vietnam and a multiple linear regression analysis were used to test the hypothesised model. The results show that external stimuli positively shaped a favourable energy-saving attitude, while internal stimuli aroused individuals’ personal norms. In addition, energy-saving intention, behaviours, and habits were serial mediators impacted by both internal and external stimuli. The results also indicate that a long-term orientation positively moderated the relationship between energy-saving intention, behaviours, and habits, but collectivism only moderated the nexus between energy-saving behaviours and habits. These findings imply that policymakers should focus on conveying information related to energy conservation among surrounding people, increasing citizens’ awareness of the consequences, personal responsibilities, moral obligations regarding saving energy, and should not neglect the informative role of cultural values in energy conservation practices.
... In systematic literature reviews and meta-analyses, researchers need to perform a thorough literature search process Barari et al., 2021;Barari et al., 2022;Bindra et al., 2022;Hassan et al., 2022;Maseeh et al., 2021b; (Jebarajakirthy et al., 2021;Shankar et al., 2022). The second step was the identification of keywords to search for relevant literature. ...
Researchers have given considerable attention to investigate anti‐consumption behavior. However, empirical research tends to report somewhat erratic and inconsistent findings. Accordingly, the relationships between the antecedents, and the outcome variables of anti‐consumption behavior, such as consumer well‐being, remain unclear. Thus, to fill this void in the literature, this study integrates Attitude Behavior Context (ABC) theory and Well‐being theory into a meta‐analytic framework and synthesizes the extant literature on anti‐consumption to examine concrete relationships between the contextual and attitudinal variables, anti‐consumption behavior and consumer well‐being. The findings show that ecological concern, religiosity, mortality salience, and perceived behavioral control influence anti‐consumption attitudes and intention, whereas consumer well‐being is the outcome variable of anti‐consumption behavior. To investigate the possible reasons for the inconsistent findings, we performed a moderation analysis which suggests that country of study, product type, data collection period, research methods and sample type may cause inconsistencies in the findings. This meta‐analytic study contributes to the anti‐consumption literature. Practically, the findings provide guidelines to policymakers and societal organizations interested in promoting anti‐consumption.
... Finally, we performed a search on Google and Google Scholar search engines using the same keywords (Adil et al., 2022;Shankar et al., 2022). We were able to retrieve a total of 512 papers through the search process. ...
This study synthesizes the artificial intelligence literature into a Meta‐analytic framework based on the theory of reasoned action and the unified theory of acceptance and use of technology 2, and examines concrete relationships between the constructs of this framework. This meta‐review also performed a moderation analysis to investigate the possible reasons for inconsistent findings across studies. The findings suggest that three methodological moderators (sample type, gender dominance, and publication type), and one contextual moderator (level of country's technology advancement) lead to inconsistencies in the relationships between study constructs. Academically, this review synthesizes the artificial intelligence literature and resolves inconsistencies in the literature and also adds constructs to both theory of reasoned action and the unified theory of acceptance and use of technology 2. Practically, this meta‐analysis offers multiple implications for businesses interested in enhancing customer adoption of artificial intelligence. Especially, companies can increase customers' adoption of artificial intelligence by making it more user‐friendly, and advantageous and by adding pleasing features to it.
... With this narrow focus, the extant research has-despite FDAs' growing popularity-ignored the possibility of food waste being generated when consumers order prepared food through such apps . FDAs offer many advantages, such as convenience, localization, promotional offers, last-minute discounts, authentic reviews, 24/7 access, an exhaustive list of cuisines, menus, and restaurants, and rapid delivery (Kapoor and Vij, 2018;Cho et al., 2019;Xu and Huang, 2019;Shankar et al., 2022;Talwar et al., 2022a). These advantages have led to an exponential increase in the number of active FDA users around the world. ...
Increasing food waste is a major threat to sustainability and food security. Recognizing the issue, the United Nations Sustainable Development Goal (SDG) 12 mandates reducing global food waste by 50 percent by 2030. This situation has also given impetus to academic research on consumer food waste in both household and out-of-home settings. However, food delivery apps (FDAs) remain under-researched from this perspective. This is a serious gap because operating under a business model that inherently facilitates food over-ordering, FDAs can be a major source of food waste. Understanding the demand-side factors that drive consumers to order more food than required to satiate their hunger can be useful in mitigating such wasteful indulgences. Noting this, we extend the seminal theory of planned behavior (TPB) to propose direct and intervening mechanisms that can better explicate why consumers indulge in a ‘shopping routine’ of ordering more food than required. We analyzed data from 487 FDA users to test the proposed hypotheses. Our results reveal the positive associations of (a) attitude and subjective norms with usage intentions and (b) trust, intentions, and leftover reuse routine with shopping routine. In addition, both proposed moderators—i.e., willingness to pay for eco-friendly packaging and number of years of FDA usage—do, in fact, moderate the associations of leftover reuse routine with both usage intentions and shopping routine. These findings can help marketers and policymakers devise appropriate strategies to promote pro-environmental green behaviors among FDA users without harming the commercial interests of the sector.
... The innovations in the service process, such as the adoption of driverless cars regarding risk, parent brand familiarity, and trust aspects [24], and the acceptance of food delivery with drones concerning perceived innovativeness [25], benefits, and image aspects [26] have also been examined. However, calling for further research on the capability of digital services to respond to opportunities in a dynamic environment [27], and "technology-related behaviour in the global crisis" [28], lack of empirical research on BE of platforms [29] and a need for more investigations on customer response to innovation, especially when everything is related to service innovation, [30], e-satisfaction, and e-loyalty, particularly in online food mobile applications [31,32], highlight a research gap and emergence of a requisite to empirically explore innovation through BE in the digital platforms from customers' perspectives. ...
Purpose. Resources and experiences may give platform owners an advantage to expand their business to new areas of possible growth. However, can the winner take it all? Or is the spandex rule—“just because you can, does not mean you should”—valid for platforms, as well? The present study is aimed at narrowing this research gap by focusing on the innovation through brand extension impact on customer satisfaction and brand loyalty in an ever-greater area of the service sector. Design/Methodology/Approach. The partial least-squares structural equation modelling (PLS-SEM) is applied to analyse the questionnaires and explore the relationships between the proposed research model’s constructs. Findings. The results reveal that service innovation through brand extension impacts customer satisfaction and loyalty favourably. Customer satisfaction mediates the relation between innovation through brand extension and brand loyalty. Parent brand reputation intensifies service innovation through the impact of brand extension on customer satisfaction and loyalty, while perceived risk deters its effects. Customer innovativeness enhances customer satisfaction. Finally, perceived category similarity (fit) augments customer satisfaction while impacting loyalty negatively. Practical Implications. The findings provide a deeper understanding of innovation and brand management in digital platforms and forge a promising path forward for marketing researchers investigating the platform economy. Originality/Value. Little remains acknowledged regarding the theoretical interface of innovation through brand extension in the digital platform sphere and its consequences on customer behaviour. Building on this lacuna, the authors adopt an underexplored object that focuses on digital platform innovation through brand extension, customer satisfaction, and brand loyalty.
Technological developments encourage new online-based business activities, one of them is the ondemand meal delivery (ODMD) business. The presence of the ODMD business provides benefits such as the ease of customers in getting food, creating new jobs for the drivers and the ease of restaurants in delivering food to customers. Because of its advantages, this business is growing rapidly globally and attracting the attention of academics and practitioners to conduct research in the field of green ODMD. The research was conducted so that the ODMD business system can be sustainably in the future. In this paper, result of previous green ODMD literatures is mapped by systematic literature review (SLR) method. The purpose of this paper is to identify research trends, evaluate problem objects and identify stakeholders involved in the green ODMD system from the previous research. The journal exploration process is carried out using Mendeley.com software with the year of publication journal set to be from the last five years (2018 to 2022). From the journal exploration process, eight green ODMD journals were selected, where the highest number of journals were published in 2021. The results of the analysis showed that the objects of environmental problems that are most often discussed in selected journals are related to vehicle emissions, followed by packaging waste and tableware. In addition, ODMD customers are also the most mentioned stakeholders in the eight selected ODMD green journals.
Purpose
The purpose of this paper is to develop a model to examine how different technological and cognitive cues related to mobile food ordering applications (MFOAs) impact diners' intentions to use MFOAs continuously. The moderating role of national household demographics was also assessed in the online-to-offline (O2O) food delivery services (FDS) context.
Design/methodology/approach
Drawing insights from the uses and gratification (U&G) theory, an online sample survey of 968 valid respondents who had ordered or purchased food through delivery apps during the COVID-19 outbreak in China was used for the analysis. The proposed model was empirically tested using structural equation modeling.
Findings
The results revealed that cues in MFOAs (i.e. ease of use, convenience, price saving orientation, the listing of various food choices, exploring restaurant patterns, and compatibility) directly influenced diners' e-satisfaction and that intention to use continuously is triggered by e-satisfaction during the COVID-19 crisis. Moreover, this study found that collectivist household diners emphasized ease of use, convenience, and compatibility. Comparatively, individualistic household diners placed more importance upon price saving orientation and listing of various food choices during the pandemic.
Originality/value
The authors offer a new insight into customers' dining choices by extending the scope of O2O services in the food industry. The findings contribute to understanding diners' purchase decision-making processes regarding MFOAs' O2O-FDS during the COVID-19 crisis. The multi-group comparison via national household demographics also provides a new perspective regarding different dining preferences toward O2O-FDS.
The purpose of this research is to review the extant literature on mobile advertising systematically and to carry out a comprehensive analysis of research in this emerging field. Accordingly, this paper synthesises the literature on mobile advertising in terms of theories, contexts, characteristics, and methodology to analyse the development of mobile advertising research over time. The literature review shows that mobile advertising research has transitioned from text message‐based SMS advertisements into internet‐based smartphone advertising. Furthermore, based on the synthesis, we have developed a conceptual framework that shows the antecedents, mediators, and consequences of mobile advertising. Additionally, we have identified some overlooked areas and proposed some insightful research directions to advance this field of research. This review contributes to the mobile marketing literature, specifically to the mobile advertising literature.
Whilst the rapid advancement of technology in the 21st century has facilitated the
online collection, storage, retrieval, manipulation, and transmission of individuals'
personal information, it has also led to a concomitant rise in privacy concerns
amongst e‐commerce users. Although privacy concerns have received considerable
attention in the e‐commerce literature, to date, empirical research has tended to
report somewhat erratic and inconsistent findings in the context of consumer
privacy. Accordingly, the relationships between the antecedents, privacy concerns,
and the outcome variables in e‐commerce contexts remains unclear. To remedy
such deficiencies in the literature, this study adopts the meta‐analytic approach to
gather and make sense of the inconsistent and mixed empirical findings reported in
the literature. The findings show that risk perceptions trigger privacy concerns
while benefit perceptions, familiarity, reputation, privacy policy, and trust mitigate
privacy concerns which in turn affect customer attitude and usage of e‐commerce
platforms. To investigate the possible reasons for inconsistent findings, we performed
a moderation analysis which suggests that methodological moderators, that
is, type of article, research methods, and sample type; and contextual moderators,
i.e. country where the study was carried out, and gender dominance in a sample set,
can cause inconsistencies in the findings. Theoretically, this meta‐analysis contributes
to the Antecedents; Privacy Concerns; Outcome variables (APCO) Model,
and the literature on consumer privacy in the context of e‐commerce. Practically,
the findings provide guidelines to e‐commerce businesses to effectively address
customers' privacy concerns.
Many guiding articles on literature reviews exist, but few have delivered an authoritative protocol that researchers can rely upon with clarity and confidence. To commemorate the inaugural annual special issue on systematic literature reviews in the International Journal of Consumer Studies, the editors have pooled their expertise and experience of authoring, editing, and reviewing literature reviews to develop a rigorous review protocol—i.e., the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR‐4‐SLR) protocol—that researchers can rely upon to guide and justify decisions in systematic literature reviews. Using an interrogative approach, the editors begin with a discussion of the “what,” “why,” “when,” “where,” “who,” and “how” of systematic literature reviews. The editors conclude with systematic literature review exemplars in the inaugural special issue.
The purpose of this study was to investigate the factors determining the behavioral intention of using food delivery apps (FDAs) during COVID-19 pandemics, under a case study of Bangkok, Thailand. The study was necessitated by the increased use of FDAs during the lockdown; online transactions were considered important in preventing the spread of the virus. The study used quantitative techniques involving structural equation model (SEM) to evaluate the effects of exogenous variables on endogenous variables. Primary data were collected from people who had installed and used FDAs. The findings indicated that performance expectancy, effort expectancy, social influence, timeliness, task technology fit, perceived trust, and perceived safety significantly influence the behavioral intention to use (BIU) to use food delivery apps during the COVID-19 pandemic. To this end, effort should be intensified to study and understand FDAs as it pertains to safety and usage.
The importance of text mining is increasing in services management as the access to big data is increasing across digital platforms enabling such services. This study adopts a systematic literature review on the application of text mining in services management. First, we analyzed the literature on which has used text mining methods like Sentiment Analysis, Topic Modeling, and Natural language Processing (NLP) in reputed business management journals. Further, we applied visualization tools for text mining and the topic association to understand the dominant themes and relationships. The analysis highlighted that social media analysis, market analysis, competitive intelligence are the most dominant themes while other themes like risk management and fake content detection are also explored. Further, based on the analysis, future research agenda in the field of text mining in services management has been indicated.
Blockchain has gained substantial recognition for its ability to induce transformation and innovation in existing business models and frameworks. Consequently, the application of this technology to the management domain and its processes has attracted increasing interest from academia and industry. Although research addressing the use of blockchain in management has gained momentum, this field presents a discontinuous overview of the current scope and boundary of the knowledge thereon. This study addresses this lacuna using bibliometric analyses to synthesize the prior literature. Data from Scopus 586 articles, entailing contributions from 72 countries, 273 journals, 1016 organizations, and 1284 authors, were analyzed. The findings indicate a maturing research focus on blockchain applications in specific managerial sectors, such as finance and supply chain management. However, this field's conceptual evolution is posited to be in its infancy in other sectors, such as for managing luxury goods and counterfeit products. Further, the thematic classification of the extant literature led to the identification of the following four major themes of research: strategy and regulation, enablement and implication, multi-domain deployment, and the inefficiencies of bitcoin. These findings are used to propose directions for further research in this field, such as the need for methodological advancement and theoretical grounding.
Individuals’ excessive use of technology-enabled communication platforms, such as social media, has led to scholarly recognition of rising incidences of cyberstalking. Despite considerable studies directed at its examination, the current research on cyberstalking is limited by a lack of clarity on its characterization and prevalence, coupled with a fragmented research focus. To address this limitation, a Systematic Literature Review (SLR) on cyberstalking has been undertaken. Rigorous protocols were applied to identify 49 empirical studies via Scopus and Web of Science, based on specific keywords and article selection criteria. Findings reveal four emergent research themes on characteristics and roles of cyberstalkers, victims, parents, social media, and online service providers, as well as reporting, coping, and prevention strategies discussed in prior studies. Findings imply the need for temporal and cross-cultural validation of measurement scales and prior results by developing sophisticated, theoretically-grounded frameworks. Based on study findings, a research framework is proposed to assist researchers in future examinations of under-investigated associations and constructs. Implications arise for studying potential pre-emptive factors to address cyberstalking at a societal level by disseminating appropriate information to the general public. There is a need to develop stringent legislation and to induce service providers' active participation to prevent cyberstalking.
In the post-COVID-19 era, the hospitality sector may witness a wider use of mobile payment services (MPS) not requiring physical contact. But consumers may postpone adoption of MPS in wait for a more attractive iteration. Given consumers' reluctance to adapt to such services, an investigation into MPS adoption postponement and the factors contributing to it is thus needed. Our research model extends the innovation resistance theory by including two behavioral measures (privacy concerns and visibility) and examining how security concerns moderate the associations between them. We analyzed data from 308 respondents who had previously purchased accommodation and transportation services using MPS, employing structural equation modelling to test the research model. The crucial factors we identified were usage barrier and image barriers, privacy concerns, and visibility. Furthermore, security concerns significantly moderated the association between image barrier and MPS adoption
postponement in the hospitality sector. The present study thus has important theoretical and practical implications for hospitality managers, particularly for understanding consumers’ behavior toward MPS use and how to leverage these services accordingly. Finally, we suggest that future researchers may investigate the factors causing the adoption postponement of other technological innovations in this sector.
This study aims to empirically measure the distinctive characteristics of customers who did and did not order food through Online Food Delivery services (OFDs) during the COVID‐19 outbreak in India. Data is collected from 462 OFDs customers. Binary logistic regression is used to examine the respondents’ characteristics, such as age, patronage frequency before the lockdown, affective and instrumental beliefs, product involvement, and the perceived threat, to examine the significant differences between the two categories of OFDs customers. The binary logistic regression concludes that respondents exhibiting high‐perceived threat, less product involvement, less perceived benefit on OFDs, and less frequency of online food orders are less likely to order food through OFDs. This study provides specific guidelines to create crisis management strategies.
Purpose
This study aims to develop and validate a conceptual model that explains consumers’ persuasion by the information available on online food delivery systems (OFDS). The study validated consumers’ price savings orientation as an antecedent of two types of browsing behaviors (utilitarian and hedonic). Browsing and social influences were examined as predictors of persuasion.
Design/methodology/approach
A literature review was conducted to determine constructs that constituted the best conceptual model for this study. To test the model, an online instrument was developed, and data were collected with the help of a global marketing panel company from 333 consumers who have used OFDS. Confirmatory factor analysis and structural equation modeling were used to test the hypotheses of the model.
Findings
The study found that consumers’ price savings orientation strongly influenced both types of browsing. However, while utilitarian browsing did not influence consumers’ persuasion, hedonic browsing and social influence were strong predictors of persuasion.
Research limitations/implications
Given the uniqueness of the study that stems from its task-technology context and the type of product being purchased, this study advances the literature in hospitality information technology, especially in the relatively neglected foodservice information technology area. The study also provides implications for both restaurants and OFDS as critical stakeholders in this important area.
Originality/value
To the best of the authors’ knowledge, this is the first study to examine consumers’ persuasion in a food-service online retail context. This study is also the first to examine both types of browsing as distinct constructs in hospitality and to explain their differential role in persuasion.
The emergence of omnichannel retailing has revolutionised the way traditional e‐commerce business operates, subsequently bringing fundamental changes to consumer expectations and decision‐making processes. Despite the unquestionable relevance of this area of inquiry, the focal literature concerning omnichannel retailing remains sporadic and fragmented. With this in mind, the purpose of the current paper is to provide a comprehensive and concise state of the art literature review on omnichannel retailing. More specifically, we engage and draw upon the cognitive‐affective‐conative model to understand consumer behaviour within the omnichannel retailing context. The current study is built based on a review of total 131 research papers, that were identified following a comprehensive search of the Web of Science database, capturing the time period between January 2011 and April 2020. This set of work was reviewed thoroughly to explore the aims, methodology and key contributions. In addition to engaging a systematic assessment and rigorous evaluation of the studies, we also extend literature by studying the relationship between omnichannel retailing and consumer decision making, with specific attention to consumer motivation, attitude, and behaviour towards omnichannel retailing.
Previous studies suggest consumer behaviour in omnichannel retailing to be a promising yet underexplored area with several potential avenues for future research. Among these, particularly lucrative directions include theory‐driven research, comparative cross‐cultural studies, and qualitative approaches that capture rich first‐hand accounts of consumer decision‐making encounters. The current paper is timely and advantageous because it offers a holistic picture of omnichannel retailing research and provides literature‐driven evidence about a range of relevant consumer behavioural dimensions. It also integrates consumer responses using the cognitive‐affective‐conative model to advance our understanding of consumer decision‐making in the omnichannel customer journey. Recommendations for future research are provided using the Theory, Methodology, and Context (TMC) framework. We conclude the paper by discussing implications for academics and practitioners.
Purpose
The core idea of this paper was to empirically evaluate the factors affecting the choices of consumers while ordering food online. The goal was to explore consumer behavior in the emerging industry of online food delivery business in an emerging economy, Bangladesh.
Design/methodology/approach
This paper used a qualitative and exploratory approach through the collection and analysis of data from a total of 177 survey respondents. Statistical analyses of all collected data (utilizing t -tests and factor analysis) were used to conclude the factors important to consumers in ordering food online through online food delivery intermediaries.
Findings
Results showed delivery time, service quality, price and condition of food delivered as factors constitute the first factor considered to be directly affecting the success of online food delivery. Variety and number of restaurants, menu, delivery tracking service and attitude of a delivery person are found to constitute the second factor and considered as indirect factors.
Practical implications
Online food ordering has been a very emerging sector globally and also a recent phenomenon in Bangladesh. The development and the availability of the internet combined with the busy life schedule has prompted businesses to address another need among consumers, the need to deliver foods at consumers' doorsteps. Understanding the consumer landscape better would help realize the full potential of the e-commerce platform as it can influence the economy, businesses and the quality of life of people.
Originality/value
The online food delivery business is new and growing and demands greater researches for better understanding by academicians and practitioners. This paper expands the limited existing research related to the online food delivery business and explores consumer behavior in the industry. From a managerial perspective, the paper contributes to understanding the consumers more broadly.
Sharing Economy apps, such as Uber, Airbnb, and TaskRabbit, have generated a substantial consumer interest over the past decade. The unique form of peer-to-peer business exchange these apps have enabled has been linked to significant levels of economic growth, helping people in resource-constrained communities to build social capital and move up the economic ladder. However,
due to the multidimensional nature of their operational environments, and the lack of effective methods for capturing and describing their end-users’ concerns, Sharing Economy apps often struggle to survive. To address these challenges, in this paper, we examine crowd feedback in ecosystems of Sharing Economy apps. Specifically, we present a case study targeting the ecosystem of food delivery apps. Using qualitative analysis methods, we synthesize important user concerns present in the Twitter feeds and app store reviews of these apps. We further propose and intrinsically evaluate an automated procedure for generating a succinct model of these concerns. Our work provides a first step toward building a full understanding of user needs in ecosystems of Sharing Economy apps. Our objective is to provide Sharing Economy app developers with systematic guidelines to help them maximize their market fitness and mitigate their end-users’ concerns and optimize their experience.
This study critically analyses the state of the art of the food waste in the hospitality and foodservice (HaFS) sector literature. It utilizes a systematic literature review (SLR) approach implemented through search, evaluation, and synthesis of peer-reviewed articles on food waste in the HaFS sector. The SLR primarily focuses on uncovering key research themes and the gaps in the extant knowledge to edify and advance future research agenda. Content analysis is used to aggregate the selected articles around nine themes representing various aspects of food waste, ranging from the causes of waste generation to leftover handling and waste reduction. Additionally, extensive research profiling is undertaken to present summary statistics of the selected articles in terms of research design, methods of data analysis, variables investigated, and theoretical lens utilized. The SLR raises some interesting research questions and offers actionable inferences for practice. It concludes with a framework that brings the findings together to inform future empirical research in the area.
Consumer resistance is one of the major causes of failure of any innovation. Despite rising academic interest, the non-adoption of digital innovation or consumer resistance has received less scholarly attention as compared to the factors driving the adoption of digital products and services. The existing research on consumer resistance is also in siloes, running across multiple verticals, spanning from resistance to green products to the Internet of things (IoT). The current study provides a systematic review of the extant literature on consumer resistance to digital innovations by utilising the systematic literature review (SLR) methodology. A total of 54 studies were selected for content analysis to isolate thematic foci, identify research gaps, recommend future research avenues and develop a framework. Our analysis revealed that the extant literature could be grouped under broad research themes, namely resistance to digital innovations, organisational resistance to technological innovations, resistance to technological healthcare innovations and consumer resistance to innovations (offline). The results of this SLR study are expected to galvanise future research in this area from the theoretical as well as from a practice-oriented perspective by providing various actionable inputs to combat consumer resistance to digital innovations.
Systems thinking (ST) is an interdisciplinary domain that offers different ways to better understand the behavior and structure of a complex system. Over the past decades, several publications can be identified in academic literature, focusing on different aspects of systems thinking. However, two critical questions are not properly addressed in the extant body of ST literature: (i) How to conduct the content analysis exclusively to derive the prominent statistics (i.e., influential journals, authors, affiliated organizations and countries) pertaining to the domain of ST? (ii) How to get better insights regarding the current and emerging trends that may evolve over time based on the existing body of ST literature? To address these gaps, the aim of this research study is to provide a comprehensive insight into the domain of systems thinking through bibliometric and network analysis. Beginning with over 6000 accumulated publications, the analysis narrowed down to 626 prominent articles with proven influence published over the past three decades. Leveraging rigorous bibliometric tools analysis, this research unveils the influential authors, leading journals and top contributing organizations and countries germane to the domain of systems thinking. In addition, citation, co-citation and page rank analysis used to rank top influential articles in the area of systems thinking. Finally, with the aid of the network analysis, key clusters in the existing literature are identified based on the research areas of systems thinking. The findings of this research will serve as a bluebook for practitioners and scholars to conduct future research within systems thinking context.
This study was designed to apply the concept of internal environmental locus of control (INELOC) to the context of eco-friendly drone food delivery services. In particular, this study examined how four subdimensions of INELOC, namely, green consumers, activists, advocates, and recyclers, affect anticipated emotions, such as positive and negative anticipated emotions. In addition, the effects of positive and negative anticipated emotions on intention to use were proposed. A research model with 10 hypotheses was developed and tested on the basis of theoretical relationships using 324 samples collected in South Korea. Data analysis results indicated that all four subdimensions of INELOC significantly affect positive anticipated emotions. Meanwhile, only green consumers and advocates significantly affect negative anticipated emotions. Lastly, significant relationships were found between anticipated emotions and intention to use.
Purpose – This study conceptualizes food delivery services as service mix decisions (SMDs) and illustrates a data-driven approach for the analysis of customers’ written experiences.
Design/methodology/approach – Web scraping, text mining techniques as well as multivariate statistics are combined to uncover the structure of the three tiers of SMD from consumers’ point of view.
Findings – The analyses reveal that fast food delivery is not primarily about speed but that there are four distinct experiential factors to be considered for SMDs. Fast food delivery services are associated both with the actual product (i.e. product issues and brand satisfaction) and with the augmented product (payment process and service handling).
Originality/value – Findings demonstrate the relevance of SMDs in omnichannel food retail environments and guide researchers in multistage analyses of consumers’ online food reviews.
Purpose
This study aims to apply the value-belief-norm (VBN) model in the context of environmentally friendly drone food delivery services to understand ways to influence consumers’ behavior toward the services. The current study also attempted to deepen the VBN model using the moderating role of product involvement.
Design/methodology/approach
Data were collected from 428 respondents through an online survey in South Korea.
Findings
The results of the data analysis indicated that all proposed hypotheses have been statistically supported in the VBN model. Furthermore, product involvement played a moderating role in the relationship between the sense of obligation to take pro-environmental actions and intentions to use and a sense of obligation to take pro-environmental actions and willingness to pay more.
Originality/value
Although drone food delivery services have not yet been fully commercialized, many foodservice companies have conducted pilot tests and the services are likely to be commonly used in the near future. Thus, the findings of this study are expected to have important implications for companies preparing to roll out drone food delivery services.
This study examines the impact of reward gamification on brand relationship quality (BRQ) in the mobile banking (m-banking) context. The study also examines the mediating effect of brand engagement and how the effect varies at different levels of personal innovativeness. A scenario-based experimental design was used to examine the effect of reward gamification on BRQ. Data were collected from 259 m-banking users to examine the proposed hypotheses. The findings suggest that gamification has a significant impact on BRQ. This study contributes to the emerging gamification and m-banking literature and helps banks design gamified rewards programs to enhance BRQ.
The study aims to examine the impact of mobile banking (m-banking) application interactivity on consumer engagement. The study also analyses the moderation effects of perceived security concerns, consumer innovativeness, and consumer involvement. The study employed a 2 (interactivity: high versus low) × 2 (perceived security concern: high versus low) × 2 (consumer innovativeness: high versus low) x 2 (consumer involvement: high versus low) between-subjects experimental design among 376 Indian bank users. The results indicate that interactivity positively impacts consumer engagement in m-banking applications. The results also show the significant moderating effects of perceived security concerns, consumer innovativeness, and consumer involvement. The findings of the study enrich the online engagement literature by examining the impact of interactivity on consumer engagement in the m-banking context. The results of the study will help banks in enhancing their m-banking application interactivity to enhance consumer engagement.
Purpose
Guided by the theory of planned behavior and the technology acceptance model, the purpose of this study was to comprehensively examine the factors that affect consumers' intentions to continue to use food delivery apps by developing and testing a research model and examining the differences between consumers with different demographic characteristics or behavior changes during the coronavirus disease 2019 (COVID-19) pandemic.
Design/methodology/approach
An online survey instrument was developed, and 316 valid responses were collected. A measurement model was developed and tested by using the structural equation modeling partial least squares (SEM-PLS) method.
Findings
The four basic constructs in the theory of planned behavior model (attitude, subjective norms, perceived behavioral control and trust) positively predicted consumers' intentions to continue to use food delivery apps. Predictors (including perceived innovativeness, hedonic and utilitarian motivations, perceived usefulness, perceived ease of use, and food safety risk perception) of these four basic constructs were also identified and confirmed. Multigroup analyses were conducted, and differences were found between male and female consumers and those with different ordering frequencies during the COVID-19 pandemic.
Originality/value
This study expanded the application of the theory of planned behavior by examining consumers' intentions to continue using food delivery apps and improved the authors’ understanding of this theory. Further, the successful application of the technology acceptance model improved the authors’ understanding of consumers' attitudes and behavioral intentions related to food delivery app usage.
The main purpose of this paper is to explore the performance of white-collared gig workers using three theoretical perspectives: knowledge-based view theory, employee engagement theory, self-determination theory. The study investigates the relationship between intellectual capital, collective cognitive engagement, intrinsic motivation, and knowledge management as antecedents to the performance of gig workers. Furthermore, it investigates whether a moderation effect of intrinsic motivation using game elements can improve the performance of gig workers. This study uses primary data collected over 8 weeks from January 2020 to Feb 2020. This study collects self-administered cross-sectional primary data from an online platform that currently engages white-collar gig workers or has engaged them in two previous years (2018 and 2019) in either one or more platforms. This study also develops a conceptual model to measure the performance of white-collared gig workers using an extension of the three theoretical perspectives.
With the emerging popularity of online food delivery (OFD) services, this research examined predictors affecting customer intention to use OFD services amid the Coronavirus disease (COVID-19) pandemic. Specifically, Study 1 examined the moderating effect of the pandemic on the relationship between six predictors (perceived usefulness, perceived ease of use, price saving benefit, time saving benefit, food safety risk perception, and trust) and OFD usage intention, and Study 2 extended the model by adding customer perceptions of COVID-19 (perceived severity and vulnerability) during the pandemic. Study 1 showed that all of the predictors except food safety risk perception significantly affected OFD usage intention, but no moderation effect of COVID-19 was found. In Study 2, while perceived severity and vulnerability had no significant impact on OFD usage intention, the altered effects of socio-demographic variables during the COVID-19 pandemic were found. Theoretical and managerial implications are provided.
Online food delivery (OFD) apps are changing the way we consume food. Despite increasing the popularity of OFD apps, limited studies have explored the reason behind popularity which contributes to the revisit intentions. This study investigates the drivers of revisit intentions by adopting stimulus-organism-response (SOR) theory and pleasure arousal dominance (PAD) theory as a theoretical lens. A model is conceptualized by including aesthetic formality and aesthetic appeal of OFD apps as stimuli, pleasure, and arousal as the internal state of the organism, and revisit intentions and word of mouth (WOM) as a response. Data is collected from OFD app users through a survey questionnaire. Findings indicate that aesthetic appeal is associated with pleasure and arousal. Aesthetic formality is associated with pleasure, word of mouth, and revisit intentions. Further, pleasure influences arousal, word of mouth, and revisit intention. The findings also confirmed the mediating role of pleasure and arousal. The study contributes to the practice and theory in the context of online food delivery apps.
Purpose
The study aims to examine factors that influence customers' intention to use online food delivery applications using a smartphone. The factors examined in this study are based on the existing theory of Unified Theory of Acceptance and Use of Technology (UTAUT) namely performance expectancy, effort expectancy, social influence, information quality, price-saving orientation and time-saving orientation towards intention to use the applications. Moreover, this research model also has been expanded with an additional dimension, attitude towards online food delivery services which lead to the intention to use online food delivery services through a smartphone. Furthermore, the present study also tested the role of age as moderator constructs between attitude towards online food delivery services and intention to use online food delivery services through a smartphone.
Design/methodology/approach
The study employed a quantitative method and 256 respondents participated in this study. The questionnaires are distributed using a convenience sampling technique and the data is analysed using partial least square approach.
Findings
The result shows that four (4) constructs, i.e. social influence, information quality, price-saving orientation and time-saving orientation have a positive relationship and significant effect on attitude towards online food delivery service where it enhances the intention to use the application. Attitude towards online food delivery services also has a significant effect on the intention to use. Furthermore, age was not found significant to moderate the relationship between attitude and intention to use.
Practical implications
The output of this study has several practical contributions such as enhances the existing knowledge and skillset of the shared-economy industry, online food delivery service providers as well as restaurant owners in improving the quality of life of the customers. It also provides contextual knowledge and a deeper understanding of online food delivery applications for customers in Malaysia.
Originality/value
The findings provide a guiding principle for improving the present determinant factors, attitude towards online food delivery service and intention to use online food delivery applications.
Purpose
Food delivery apps (FDA) have been widely adopted by customers in online-to-offline (O2O) catering businesses. This study aims to explore the mechanism regarding the stickiness of FDA and indicates why customers have the intention to reuse them.
Design/methodology/approach
A research model was developed based on the e-commerce system successful model (ECSS model) and social influence theory. Using the data collected from 312 customers who have FDA usage experience via an online survey, the established model was empirically assessed by partial least squares based structural equation model.
Findings
The results show that factors including information quality, ease of use, convenience and various choices perceived by FDA users are significant antecedents of customer satisfaction and perceived value, which in turn positively influence customers' intention to reuse. Besides, informational social influence and normative social influence play important roles in directly or indirectly affecting customers' intention to reuse.
Originality/value
This study extends the e-commerce system success model and enriches the literature regarding stickiness of FDA. Besides, the understanding of social influence in FDA usage has been deepened by addressing its role in the ECSS model based on the features and contexts of such apps.
Purpose
This study aims to propose the effect of five sub-dimensions of the expected benefits, which include compatibility, social influence, convenience, function and emotion on attitude and behavioral intentions.
Design/methodology/approach
A research model including eight hypotheses was tested using 413 samples collected in South Korea.
Findings
The data analysis results indicated that the five sub-dimensions of expected benefits aid to enhance attitude, which plays an important role in the formation of behavioral intentions.
Originality/value
This study was designed to empirically identify the important role of expected benefits in the context of drone food delivery services for the first time.
Online meal delivery platforms (OMDPs), like UberEats, have received more attention since quarantine was established to prevent the spread of COVID-19. The research into antecedents of satisfaction and continuous usage intention for OMDPs, in general, is under researched. The current study compared the antecedents of satisfaction before quarantine to the antecedents during quarantine through the lens of Expectation-Confirmation Theory. Through multiple regression analyses, the researchers found that before quarantine, sharing economy ethos, price-value, food quality, ease of use and confirmation of beliefs had a significant impact on satisfaction while during quarantine, food quality, service speed, ease of use, and confirmation of beliefs were significant. Practical and theoretical implications are discussed.
The main purpose of this study is based on qualitative and quantitative research procedures, and integrates the key service factors for the online food delivery (OFD) industry extracted by Internet Big Data Analytics (IBDA) to construct a OFD service quality scale (OFD-SERV). This study takes OFD customers in Taipei City as the objects. The results show that 20 key service factors for the OFD industry are extracted through IBDA. The OFD-SERV scale contains six dimensions including reliability, maintenance of meal quality and hygiene, assurance, security, system operation and traceability, a total of 28 items. The results from the structural equation modeling showed that the reliability, assurance and system operation have a positive impact on customer satisfaction. Finally, the findings provide knowledge and inspiration for the current OFD, and enable OFD operators and future researchers to more accurately identify the deficiency of service quality.
Food delivery apps (FDAs) have transformed the way consumers order and consume food, especially during the mobility limitations of the COVID-19 pandemic. The hospitality industry, especially restaurants are heavily reliant on mobile technology during the pandemic to strengthen essential online to offline food delivery, helping large number of consumers. This study investigates the role of app aesthetics in evoking emotions which predict continued usage intentions for FDAs using the theoretical lens of the pleasure arousal dominance (PAD) framework. Data was collected from 341 consumers during the pandemic. Findings indicate that app aesthetics generate pleasure, arousal, and dominance emotions among consumers during pandemic where pleasure is the most significant predictor of continued usage intentions followed by dominance. Findings also confirm the mediating effect of arousal on pleasure and pleasure on continued usage intentions. The study has implications for academicians, food delivery companies, app designers and other app-based businesses as it proves the significance of an aesthetic app design in evoking positive PAD emotions in consumers during a crisis and strengthens the explanation of continued usage intentions.
Purpose
This study aims at identifying critical success factors of a sustainable mobile banking application using text mining approach.
Design/methodology/approach
A total of 6,073 consumer reviews relating to a mobile banking application were collected and analyzed to meet the study objective. Latent Semantic Analysis (LSA) was done to identify the critical success factors of a sustainable mobile banking application.
Findings
The results indicated that privacy and security, navigation, customer support, convenience and efficiency are the key factors.
Research limitations/implications
The study findings enrich the mobile banking and sustainable service delivery channel literature.
Practical implications
The results are expected to benefit the bankers in delivering effective banking services through a mobile banking application.
Originality/value
Studies in the sustainability are few yet promising particularly the ones that use rigorous statistics suitable on thousands of data points to accomplish the study objectives.
Bibliometric analysis is a popular and rigorous method for exploring and analyzing large volumes of scientific data. It enables us to unpack the evolutionary nuances of a specific field, while shedding light on the emerging areas in that field. Yet, its application in business research is relatively new, and in many instances, underdeveloped. Accordingly, we endeavor to present an overview of the bibliometric methodology, with a particular focus on its different techniques, while offering step-by-step guidelines that can be relied upon to rigorously perform bibliometric analysis with confidence. To this end, we also shed light on when and how bibliometric analysis should be used vis-à-vis other similar techniques such as meta-analysis and systematic literature reviews. As a whole, this paper should be a useful resource for gaining insights on the available techniques and procedures for carrying out studies using bibliometric analysis.
Keywords: Bibliometric analysis; Performance analysis; Science mapping; Citation analysis; Co-citation analysis; Bibliographic coupling; Co-word analysis; Network analysis; Guidelines.
Mobile apps offering online to offline (O2O) services act as aggregators providing interface for delivery of required products and services at a preferred location. Despite offering multiple affordances, many O2O services have not diffused as anticipated, indicating the existence of consumer resistance towards them. One such example is that of food delivery apps (FDAs), which are experiencing resistance at both the pre-adoption and post-adoption stage. However, there are scarce empirical findings explicating the pre-and post-adoption barriers perceived to be associated with FDAs. The present study addresses this gap by utilising the Innovation Resistance Theory (IRT) and a convergent mixed-method study design to examine the barriers that existing FDA users face and how these impinge on their trust and valence of recommendation behaviour (positive and negative word of mouth). The study not only extends the classic IRT barriers to the FDA-context by identifying three key barriers (economic, efficiency, and experience) but also offers empirical evidence to support the negative association of barriers with trust and paradoxical recommendation behaviour by analysing data collected from 303 FDA users through Prolific. The findings also support the mediation effect of trust and the moderation effect of advertisement overload on the identified associations, making interesting theoretical and practical contributions.
COVID-19 presents luxury hotels with an unenviable task of maneuvering to secure survival. One of the contingency measures of China’s five-star hotels is to salvage revenues by entering online-to-offline (O2O) food delivery platforms. However, both opportunities and risks will ensue. Study 1 has content analyzed customer reviews on the largest O2O food delivery platform in China to probe the key factors of concern. The results show that taste, freshness, and brand credibility remain salient, as in dine-in experiences, while packaging and delivery quality emerge as a result of the integration of the O2O platform, and hygiene due to the COVID-19 pandemic. Interestingly, interaction quality between restaurant staff and customers still plays significant roles with the online channel. Study 2 has further deepened the understanding of luxury restaurants’ O2O services through semi-structured interviews with F&B professionals. The results have paved the way for hotel operators to employ tactics on O2O platforms.
Repeat usage behavior Perceived privacy risk A B S T R A C T The low redemption rate of coupons presents a challenge for marketers and scholars. While numerous studies have endorsed the potential of mobile (m)-coupons, not much is known about the consumer's intention to redeem such coupons. This study uses Value-based Adoption Model (VAM) to explain the redemption intention of m-coupons among coupon redeemers. Apart from studying coupon proneness and perceived convenience, this study empirically examined perceived privacy risk (PPR) (first moderator) and repeat usage behavior (second moderator) for m-coupon redemption intention. One of the key findings from 637 m-coupon users suggest that high repeat usage behavior of m-coupon redemption diminishes the influence of PPR. This suggest that marketers should offer a seamless end to end customer journey to increase m-coupon redemption. The other managerial implications have also been highlighted in the study.
The purpose of this study to investigate the effect of online convenience dimensions on mobile banking (m-banking) adoption intention using a comprehensive moderated mediation framework. A total of 446 responses from Indian banking users were received using systematic sampling. The covariance-based structural equation modelling and PROCESS macro were used to examine the hypotheses. The results indicated that access convenience, transaction convenience, benefit convenience, and post-benefit convenience have a crucial impact on m-banking adoption intention. The perceived hedonic values and perceived utilitarian values mediate the effects of convenience dimensions on m-banking adoption intention. The study's findings will help banks to identify which dimension/s of online convenience they should focus on over m-banking platforms to enhance adoption intention. As, “Convenience” plays a crucial role in mobile commerce adoption intention. This study attempts to examine how convenience dimensions affect m-banking adoption intention.
The aim of this study to investigate factors affecting luxury consumers’ webrooming intention using a moderated mediation framework. The study also investigates the mediating effects of perceived hedonic value and perceived utilitarian value and how these mediating effects are moderated by online risk perceptions. Data were collected using offline survey from 374 luxury consumers in India, using systematic sampling. The results indicated that perceived usefulness of online search, need for touch and socialization have significant impact on webrooming intention. Perceived hedonic value and perceived utilitarian value mediate the effect of variables on webrooming intention and mediation effect of perceived utilitarian value varied between high and low levels of online risk perceptions. Findings of this study will help luxury retailers in managing consumer channel switching behaviour. The study enriches luxury marketing literature by examining emerging webrooming, channel switching phenomenon.
Purpose
This research leverages an integrated framework that uses the technology acceptance model (TAM) and the theory of planned behaviour (TPB) to analyse the main drivers of users' intention to use food delivery apps. The purpose of this paper is to investigate the consumer's willingness to adopt online food delivery (OFD) using the models' constructs and extend them to consider food choices, convenience, trust and the effect of the perceived risks related to the coronavirus disease 2019 (COVID-19) pandemic as contextual factors.
Design/methodology/approach
The study adopts the partial least squares approach to structural equation modelling (PLS-SEM) to examine the data. The final sample consists of 425 people in Italy.
Findings
The authors have found that combining the TAM and the TPB provides a valid and significant model that can be used to understand OFD users' behavioural intentions. Moreover, the results show that subjective norms have a stronger effect on behavioural intentions than the personal attitude and that trustworthiness and the perception of risks related to COVID-19 have different effects. Accordingly, the authors derive several theoretical and managerial implications from these results.
Originality/value
This research contributes to the current debate on consumer behaviour in the OFD context. Only a few studies have integrated the TAM and TPB models in this context. This paper sheds light on the factors useful in predicting people's choice to buy food via OFD. Furthermore, it highlights the key role of some contextual factors and subjective norms over more technical ones.
Online delivery providers (ODPs), representing a growing hospitality industry sector, are playing an unprecedented role in the coronavirus pandemic. Applying construal level theory and regulatory focus theory, this research investigates how the interplay of construal mindsets and message frames affects consumers’ purchase intention regarding online food deliveries during the pandemic. Two 2 × 2 experiments were conducted in severe and mild pandemic regions and revealed different results in consumers’ responses. Specifically, promotion-framed messages are more effective when matching a “how” construal mindset in severe regions. In contrast, promotion-framed messages are more persuasive in conjecture with a “why” construal mindset in mild pandemic areas. Besides, the persuasion process is mediated through self-efficacy in severe regions but through perceived benefit in mild regions. The study also reveals different moderating effects of risk propensity in the two regions. The findings provide guidelines for ODPs in engaging consumers with online food delivery services.
Fitness applications have undergone considerable development in the last few years and becoming popular and significant in both academic and practical areas. However, contributions to the systematic mapping of this field continue to be lacking. This paper constitutes the first bibliometric study in this field to better understand the current state of research. We examined 481 records from databases Scopus and Web of Science (Core Collection) using several bibliometric analysis methods. All the records on this emerging topic were published between 2011 and 2019. We processed these records using statistical analysis and science mapping. The bibliometric analysis included the year of publication, journal name, citation, author, country, and particularly, research methodology. Additionally, we used the VOSViewer software to perform bibliometric mapping of co-authorship, co-citation of authors, and co-occurrence of keywords. This field of study, it was found, is currently in its precursor stage, contributing primarily to the fields of medicine, computer science, and health sciences. The United States appeared to have made the largest contribution to this field. However, author productivity, number of citations, and number of core journals all indicated a high degree of fragmentation of research in this filed. Remarkably, scientific research in this area is expected to progress tremendously over time. Overall, this study provides basic data and research classifications for the initial phase of research and research direction for future research in this area.
Food delivery apps (FDAs) as an emerging online-to-offline mobile technology, have been widely adopted by catering businesses and customers. Especially, as they have provided two-way beneficial catering delivery services in rescuing catering enterprises and satisfying customers’ technological and mental exceptions under the COVID-19 global pandemic condition. This study proposes a comprehensive model integrating UTAUT, ECM and TTF with the trust factor and examines 532 valid FDA users’ continuance intention of using FDAs during the COVID-19 pandemic period in China. The statistical results and discussions show that satisfaction is the most significant factor, and perceived task-technology fit, trust, performance expectancy, social influence and confirmation have direct or indirect positive impacts on users’ continuance usage intention of FDAs during the COVID-19 pandemic period. In addition, relevant researches and stakeholders should consider the specific characteristic of technology being associated with users’ technological and mental perceptions for better understanding and explaining users’ continuance intention.
In the new era of the sharing economy, firms are setting up Application (APP) service platforms to reach potential consumers and enhance their assessment of how to increase consumers’ perceived benefits. This study thus emphasizes that, via APP assessments in the context of the sharing economy, consumers’ perceived benefits can drive their purchasing intention and behavior. We examine 464 surveys of users who had previous experiences on various related APPs in the sharing economy and present empirical results supporting that APP assessments play mediator roles among perceived benefits and purchasing intention. The research model shows that relational, attitude, and capability benefits are consumers’ three main perceived benefits that influence their purchasing intention. This study thus offers management and marketing implications in the sharing economy by suggesting that firms increase consumers’ perceived benefits in order to raise APP assessments, thereby spurring their intention to use the APPs to finalize their final purchase behavior.
eWOM communications significantly affect consumer behaviour. Previous studies found that helpful online reviews affect information adoption, which results in intention to buy. As a result, large number of studies started investigating factors affecting helpfulness of eWOM communications. However, the mixed findings on the factors affecting perceived helpfulness of eWOM communications can lead to confusion for academics and marketing practitioners. Thus, the aim of this research is to synthesise findings from existing studies on eWOM communications by using weight analysis. This will help to investigate the predictive power of the independent variables on the dependent variable, by taking into consideration the number of times a relationship has been previously examined. The results of weight analysis showed that valence, emotions, length, source expertise, argument quality, rating, relevance, and source credibility are best predictors of eWOM helpfulness. There were also three promising predictors with a perfect weight of one such as volume, reputation of the reviewer, and certainty. Future steps of this study involve conducting meta-analysis, which will help strengthen results of weight analysis and develop a conceptual model for empirical evaluation of various factors affecting helpfulness of eWOM communications.
The paper presents a systematic review examining the various factors of consumer behavior towards luxury goods and synthesizes studies. Searches in prominent databases were conducted to pool the studies. Two hundred and two studies were identified and were catalogued in terms of study type, themes and analysis details. Results provide a summary of the perspectives in which behavior towards luxury goods has been studied in the past. This paper presents the determinants of luxury buying behavior, and synthesizes those antecedents into four major factors: individual factors; psychological factors; cultural and social factors; factors related to luxury goods. A new model for the relationship between these antecedents and luxury consumer behavior is also developed. Subsequently, a research agenda is developed for future research. ARTICLE HISTORY
A literature review article provides a comprehensive overview of literature related to a theme/theory/method and synthesizes prior studies to strengthen the foundation of knowledge. In the growing International Business (IB) research field, systematic literature reviews have great value, yet there are not many reviews published describing how researchers can design and develop classic review articles. In explaining the purpose, methodology, and structure of a systematic review, we provide guidelines for developing most insightful and useful review articles. By outlining steps and thumb rules to keep in mind, we present an overview of different types of review articles and explain how future researchers could potentially find them useful. In addition, we introduce nine articles finally selected for this special issue of systematic literature review-Looking back to look forward International Business research in the days to come.
Despite the significance attached to foreign direct investment (FDI) by Multinational enterprises (MNEs), there are is no comprehensive review of the FDI literature. Moreover, those that have been published, focus on subsets of FDI. This review systematically examines the empirical as well as theoretical research on FDI through an analysis of 500 articles published during the last five decades. Theoretical models, methods, context, and contributions to scholarship were reviewed. We strive to highlight the key theories, paradigms, and articles and provide directions for future research. We conclude that FDI has evolved as the most significant area of international business.