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This paper analyzes the new learning and network collaboration paradigms, their motivation and consequences. The origins of these practices are traced to the development of the Internet and the impact of globalization. The paper analyzes their advantages and the factors which have led to their development. Three contexts or diverse points of view h...
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... taking into account the afore-mentioned considerations, we can then classify the reviewed models according to these dimensions. Fig. 3 reflects their position, showing the ...
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... [10]. However, there are several challenges faced when applying SMA, including data accuracy, data privacy, and the choice of methodology for analysis [11]. In conducting SMA, the method chosen in conducting the analysis determines the results of the analysis, therefore a methodological analysis process is needed. ...
The election of the President and Vice President of the Republic of Indonesia 2024 is an important moment for the Indonesian people in determining future leaders. Social media plays a major role as a platform used to deliver campaign programs by presidential and vice presidential candidates. In conducting social media analysis, one approach that can be used is using topic modeling. Topic modeling produces output in the form of topics of conversation from a document, one of the models is Latent Dirichlet Allocation (LDA). In previous research, LDA has been widely used to search for topics of conversation on social media. This research analyzes the campaign programs of the 2024 Presidential and Vice Presidential Candidates of the Republic of Indonesia on social media using the Latent Dirichlet Allocation (LDA) method for intent classification in campaign program detection and sentiment analysis to check sentiment analysis. Data from the Twitter social media platform during the campaign period was processed and analyzed with LDA to understand the trend of campaign topics.
... Social media and the internet have transformed the way that consumers search, assess, select, and purchase goods and services (Albors et al., 2008). An estimated 4.89 billion people will use social media worldwide in 2023 (Sprout Social, 2023), and 70% of Facebook users and 60% of Instagram users say they visit the platforms at least once a day (Pew Research Center, 2021). ...
... The digital era has revolutionized customer-to-customer communication via social media platforms, enhancing product searching, evaluation, and purchase processes (Albors et al., 2008;Solis, 2015). Social media fosters interactive, personalized interactions between customers and brands (Hollebeek et al., 2014), prompting companies to integrate it into their marketing strategy (Bernoff & Li, 2008). ...
The customer journey towards purchase has received substantial attention from businesses and academics, especially in relationship marketing and customer engagement. This interest has intensified due to the rise of social media, enabling customer-to-customer interactions alongside conventional marketing strategies. Customers increasingly seek information independently in the life insurance sector, and comprehending the decision-making process is critical. In Indonesia, low insurance literacy and inclusion add to the challenges of the traditional, face-to-face sales process. This research empirically investigates the impact of social media and traditional marketing communications on customer-to-customer interactions and subsequent customer decision-making. Brand preference is examined as a mediating variable. Quantitative methods, including online questionnaires and expert interviews, were employed in Greater Jakarta, Indonesia, targeting non-life insurance customers. Structural equation modeling (SEM) via LISREL was utilized to analyze data from 310 respondents. Results indicate that while social media communications have an insignificant impact on customer-to-customer interactions (t-value 1.15), traditional marketing communications positively influence customer-to-customer interactions (t-value 11.87). Customer-to-customer interactions also found to positively influence brand preference (t-value 10.14) while brand preference positively influences customer decision-making (t-value 3.86) Additionally, customer-to-customer interactions positively affect customer decision-making (t-value 3.54), with brand preference mediating this relationship (t-value 3.85).
... Crowdsourcing communities have various shapes and forms, this depends on the types of activities, such as new product development (e.g., Zahay et al., 2018), to open-source software communities (Albors et al., 2008), to purely crowdsourcing businesses (e.g., Airbnb- Kohler, 2015). ...
Although prior research indicates that crowdsourcing is primarily beneficial for companies, this work reveals, across three studies, that quality perceptions of crowd‐sourced (vs. company‐generated) products are shaped by relationship norms: communal norms (vs. exchange norms). Study 1 indicates that developing a communal (vs. exchange) relationship with the company enhances quality perceptions of crowdsourced (vs. company‐generated) products. Study 2 shows that firms' innovation ability works as an underlying mechanism: when consumers develop a communal (vs. exchange) bond with the company, they attribute greater innovation competence to crowdsourcing (vs. company‐generated innovations). Finally, study 3 reveals that the beneficial effects of communal (vs. exchange) norms on perceived quality crowdsourced products only hold when the product innovation lacks complexity, and the effect is mitigated with high‐complexity tasks. By demonstrating the importance of relationship norms and their interaction with innovation complexity, we resolve mixed findings on consumers quality perceptions towards crowdsourcing, contributing to recent studies and further offering important implications for firms seeking to leverage crowdsourcing strategies effectively.
... Interested readers are directed to studies by Quattrone et al. (2018), Xu et al. (2019) and Wang and Nicolau (2017). It's also essential to acknowledge that while the concept of the sharing economy is not new (Albors et al. 2008;Sundararajan 2017), the introduction of large-scale mediating technologies has propelled the commercial success of internet-based platforms (Zervas et al. 2017). This has garnered attention from academics and policymakers, often relying on the assumption that their focus on sharing technologies differentiates them from traditional markets (Hamari et al. 2016). ...
Airbnb's distinctive model accommodates a broad spectrum of hosts, ranging from non-professionals to traditional establishments, resulting in a nuanced pricing system that poses challenges for prediction. This paper delves into Airbnb pricing and, to address this exercise, introduces computational approaches that combine traditional linear methods and advanced artificial intelligence techniques. Utilizing real data from the Netherlands, the study specifically focuses on all active Airbnb listings until September 2019. Our contribution stands out by incorporating the financial history of diverse rental offerings, a novel aspect compared to existing literature. Unlike other studies, our investigation spans various cities in the Netherlands, providing a comprehensive view beyond individual regions. Our results highlight the robust predictive capabilities of Artificial Intelligence techniques, that lead to lower susceptibility to overfitting and to superior overall performances. However, traditional methods also prove to be valuable, aiding in determining the significance of predictors in the predicting exercise. Collectively, these approaches offer valuable insights to enhance pricing strategies and overall performances within the Airbnb market.
... Such as MySpace and Facebook. Websites and social media have transformed consumer purchasing habits, offering fresh avenues for customers to discover, assess, select, and buy products (Albors et al., 2008). These progressions impact how marketers undertake marketing practices, including ploys and prep, by trying to present employees with practical challenges (Thomas, 2007). ...
The fast fashion business is becoming more reliant on social media marketing (SMM) as SMM enables larger data collection and communication between the brand and its consumers. This study investigates the impact of SMM aspects such as customization, entertainment, interactivity, trend-iness, and eWOM on fast fashion's online and offline purchase intentions (PI). Similarly, it investigates the moderating influence of culture on the factors mentioned above and the relationship's utilitarian and hedonic reasons. Additionally, 360 responses were obtained from three countries, Morocco, Jordan, and Spain, using an online questionnaire. The findings revealed that customi-zation, amusement, and trendiness influence offline and online PI favorably. Culture was also shown to have a moderating influence on the link between SMM components and PI. Motivations were also discovered to be a mediator between eWOM, trendiness, customization, and PI.
... A partir del desarrollo de internet y las TIC, diversos autores han realizado estudios sobre el uso de las tecnologías, las plataformas digitales y la gestación de las comunidades virtuales, específicamente en Facebook, como una extensión de las instancias de socialización presencial (Albors et al., 2008;Gunawardena et al., 2009;Tinmaz, 2012;Pi et al., 2013). Así, la digitalización de los espacios ha desembocado en nuevas formas de interacción y de vivir que promueven la construcción de una socialización virtual. ...
Este estudio busca dar respuesta a cómo se producen las masculinidades hegemónicas en contextos digitales. Para esto, se propuso analizar la producción de masculinidades hegemónicas digitales en comunidades virtuales de exestudiantes en Facebook de los denominados liceos emblemáticos. Se realizó una aproximación etnográfica digital junto con entrevistas a los miembros de estos grupos. Se considera la crisis que atraviesan los liceos emblemáticos a consecuencia del cuestionamiento de la enseñanza de valores tradicionales en sus aulas y se da cuenta de la presencia de un sistema educacional sexista, que se ha encargado de transmitir valores tradicionales y hegemónicos en función del género. Entre los principales resultados de esta investigación destacan: la percepción sobre la producción del modelo de masculinidades hegemónica en los liceos emblemáticos y la configuración de patrones hegemónicos como la subordinación, la complicidad y la marginación.
... It then inquiries about uncovering modern customer behavior patterns established in the utilization of social media, and social media as a marketing tool has two fundamental approaches to develop: (a) a dormant approach based on the utilization of social media open space as a potential source of customer voice. The purpose of marketing is to supply marketers with data that roughly advertises needs, customer meetings, developments and competitive patterns; (b) a dynamic approach is to utilize social media as a communication device, coordinate transactions, customer security, and customer maintenance (Albors et al., 2008) (Mc.Kinsey, 2007. (Constantinides, 2014) Several surveys conducted, one of which was by Marketers magazine (2017) revealed that the trend of using digital media as a source of information by young people is quite high, especially in big cities. ...
Branding is an effort to establish a brand, both products, companies, and other objects. Forming a brand requires the right strategy to achieve the predefines goals, where the goal is usually quantifiable objectives. The formation of a brand will be proven by the behavior changes of the targeted public of the brand object because the branding strategy will usually be aimed at a specific public target. Social Media Marketing Activities (SMMA) is a strategy initially developed for marketers in promoting, however, its application has expanded to encompass the formation of product brands and companies. The method of writing this article is exploratory, wherein the author tries to explore the marketing activities of the embroidery industry in Tasikmalaya, which are then analyzed and associated with existing phenomena. The results indicate that SMMA is used by the embroidery industry on a large and small scale because of its ease of application, but although it is easy SMMA must be accompanied by other tools, because in forming a company brand it is not enough just to base on social media activities, but other activities that will invite public experience in interacting with these products and companies. Positive experience is the main factor in shaping the brand image of a product or company.
... It outlines their ability and potential roles as part of the corporate marketing strategy and provides several approaches to engage them as marketing tools. Customers were more sophisticated as a result of social media, and they developed new strategies for exploring, assessing, choosing, and purchasing goods and services (Albors et al., 2008). Furthermore, competitive pressure and marketers' realization that they have to restore some influence over the customer-controlled social media platform has motivated many enterprises to invest in social media presence (Barwise and Styler 2003) or create strategies for undertaking marketing initiatives such as influencer marketing soon. ...
The study aims to explore the effectiveness of influencer marketing towards the consumers' purchase intention towards the One Town, One Product of Naawan, Misamis Oriental, a municipality in the Philippines. The study employed Ajzen's (1985) Theory of Planned Behavior (TPB) as its theoretical framework and Ohanian's (1990) Source Credibility Model as predictors of consumer attitudes. A total of 206 responses were collected using a self-administered online questionnaire and analyzed with the use of a partial least square structural equation modeling (SEM) algorithm. The results reported the usefulness of TPB in predicting the consumers' intention towards purchasing One Town, One Product. The findings reveal that expertise positively influences the consumers' attitudes, highlighting the significance of influencers' knowledge. However, the two predictors of consumers' attitudes, specifically attractiveness and trustworthiness, were not significant. Among the three independent variables of TPB, social norms have a significant positive relationship with purchase intentions on both Facebook and Instagram.
... Prior studies have acknowledged that participants of crowdsourcing are driven by intrinsic motivation as well as extrinsic motivation (e.g., Roberts et al., 2006;Leimeister et al., 2009;Zheng et al., 2011;Martinez, 2017;Acar, 2019). For example, studies show that participants are extrinsically motivated by monetary rewards (Bakici, 2020;Lee et al., 2015;Li and Hu, 2017;Leimeister et al., 2009), social rewards and affiliations (Albors et al., 2008;Brabham, 2010;Leimeister et al., 2009), reputation and recognition (Jeppesen and Frederiksen, 2006;Bakici, 2020;Lee et al., 2015), and future job opportunities (Leimeister et al., 2009;Brabham, 2010). On the other hand, the desire to have fun (e.g., Antikainen et al., 2010) and to tackle challenging problems (e.g., Muhdi and Boutellier, 2011) have been identified as some of the sources of intrinsic motivation for individuals to participate in crowdsourcing. ...
Does the size of monetary rewards have differential effects on a crowdsourcing contest member's likelihood of (i) participation (i.e., submitting contribution(s) to the contest), (ii) making appropriate contribution(s) that are accepted for inclusion in the contest, and (iii) winning the contest? In this paper, we develop a theoretical framework to unravel the role of extrinsic motivation through monetary rewards in influencing an individual's performance outcomes. We hypothesize that the size of monetary rewards increases the probability of participation but reduces the likelihood that individual participants will submit appropriate contribution(s) or win the contest. These trade-off effects of monetary rewards can be mitigated significantly through participation of individuals with skills matching the contest requirements and having past experience in crowdsourcing contests. We obtain support for our hypotheses using a unique dataset of 93,677 individual-contest dyads consisting of 50,227 individual contest members who registered for 183 contests on eYeka, a design crowdsourcing platform during the period of 2007–2012. The results imply that increasing the size of monetary rewards needs to be complemented by increasing the participation of individuals with skills match and past experience in order to mitigate the trade-off effects.