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This article explores how the social media usage affect team creative performance via transactive memory system, knowledge interaction and expertise coordination.

The study is based on the perspective of transaction memory system and expertise coordination theory. A research model was constructed and tested, involving 289 individuals from 67 distributed agile software development teams.

The results indicate that social media usage is positively correlated with transactive memory system, and social media usage and transactive memory system have positive relations to knowledge interaction and expertise coordination. Moreover, this analysis shows that knowledge interaction has a positive relationship with expertise coordination, and expertise coordination positively affects team creative performance. However, knowledge interaction has no direct relationship on team creative performance, and its indirect impact on team creative performance was fully mediated by expertise coordination. This research shows that social media usage by distributed agile software development teams can support the development of transactive memory system and promote expertise coordination. In addition, knowledge interaction alone is not enough, and expertise coordination must be achieved to increase team creative performance.

First, this paper explores the mechanism of transactive memory system in distributed Agile Software Development teams from the perspective of social media, which is different from the previous information processing theory framework that confined transactive memory system to the cognitive aspects of knowledge coding, storage and retrieval. Second, this research focuses on the knowledge interaction and expertise coordination formed by team members in the process of communication in the context of social media usage, which confirms the crucial roles of social media usage and transactive memory system in team knowledge management and team creative performance. Then, this research also shows that the development of transactive memory system in the team is indeed an important factor to promote knowledge interaction and professional expertise coordination.

This empirical study aims to examine luxury fashion retailers' localised multiple channel distribution strategies in China.

Through case studies of 15 participating retailers, qualitative data were collected from 33 semi-structured interviews.

Strong impacts of internationalisation strategies, distribution strategies and channel length towards multiple channel retailing are revealed. Multi-channel retailing is widely employed by firms who have entered China and further developed their businesses through local partnerships and adopted a selective distribution strategy via relatively longer channels. Omni-channel retailing is only suitable for the few retailers using an exclusive distribution strategy through direct marketing and wholly owned customer relationship management. As a dynamic transformation from multi- to omni-channel retailing, cross-channel retailing is adopted by those who are withdrawing from local partnerships and shifting to wholly owned expansions and operations in host markets.

The results are potentially challenged by relatively small sample size.

Practitioners are suggested to adapt multiple channel retailing to their international expansion strategies, distribution strategies and channel length in the host markets.

This paper contributes to the literature in both multiple channel retailing and international retailing by offering insights into the motives, development patterns and suitability of multiple channel retailing in the international retail marketing context.

The purpose of this study is to fill the gap by researching the direct effects of media and personal characteristics on online participation in climate change, indirect effects when mediated by interpersonal communication and personal characteristics as predictors of media communications as sources of information about climate change.

A structured questionnaire is distributed to collect data about the uses of communication sources and online responses toward climate change by using a quota sampling technique. The structural equation modeling by using Smart PLS 4 is used to explore the effects’ size.

Small levels of direct and indirect effects are found. Direct effects are found in online newspapers, YouTube, television news, personal relevance toward climate change and political interest in online participation in climate change. Indirect effects are found of WhatsApp on online climate participation through interpersonal communication. Personal relevance toward climate change has motivated respondents to take information about climate change from Facebook. Climate skepticism is found among respondents who have received information from television news/talk shows, printed newspapers and WhatsApp.

University teachers in Pakistan will have to work on educational strategies to increase the knowledge of university students about energy generation through carbon and renewable energy sources.

The results of this study highlight the communicative-cultural dimensions of online discourse about climate change in the context of the less-researched country of Pakistan. This is the first study of researchers’ knowledge that comprehensively defines the digital media ecology in the context of climate change considering Pakistan.

Building upon uses and gratifications (UG) theory and social exchange theory, the current study establishes a theoretical model to examine the underlying relationship between customer motivations, active participation and electronic word-of-mouth (e-WOM) and purchase intentions on WeChat.

The data were gathered in a web-based survey of 301 WeChat users in mainland China. To empirically verify the proposed hypotheses, confirmatory factor analysis (CFA) and structural equation modeling (SEM) were employed using online data.

Path analysis outcomes demonstrate that functional, hedonic and social motivations positively affect WeChat users' active participation. In addition, active participation significantly influences e-WOM intention while showing no correlation with purchase intention.

Theoretically, this article can enrich the extant system of relevant theories and offer a fresh perspective for further research on the generation of consumers' e-WOM intention and purchase intention in the WeChat context. Practically, the research outcomes provide insight for companies on how to motivate customers to participate in online activities, which subsequently improve WeChat users' willingness in conducting e-WOM communication and making purchase decisions.

Although mobile social media could serve as an influential marketing vehicle for individuals' engagement in social and commercial activities in today's mobile-matured environment, the substantial impact of active engagement on the relationship between customer motivation and purchase intention remains insufficiently explored. The outcomes not only contribute to the current body of knowledge, but also offer several managerial guidance for companies that pay attention to mobile social media marketing in a contemporary mobile media-saturated society.

This study is motivated to provide a theoretically informed, data-driven assessment of the consequences associated with the participation of non-human bots in social accountability movements; specifically, the anti-inequality/anti-corporate #OccupyWallStreet conversation stream on Twitter.

A latent Dirichlet allocation (LDA) topic modeling approach as well as XGBoost machine learning algorithms are applied to a dataset of 9.2 million #OccupyWallStreet tweets in order to analyze not only how the speech patterns of bots differ from other participants but also how bot participation impacts the trajectory of the aggregate social accountability conversation stream. The authors consider two research questions: (1) do bots speak differently than non-bots and (2) does bot participation influence the conversation stream.

The results indicate that bots do speak differently than non-bots and that bots exert both weak form and strong form influence. Bots also steadily become more prevalent. At the same time, the results show that bots also learn from and adapt their speaking patterns to emphasize the topics that are important to non-bots and that non-bots continue to speak about their initial topics.

These findings help improve understanding of the consequences of bot participation within social media-based democratic dialogic processes. The analyses also raise important questions about the increasing importance of apparently nonhuman actors within different spheres of social life.

The current study is the first, to the authors’ knowledge, that uses a theoretically informed Big Data approach to simultaneously consider the micro details and aggregate consequences of bot participation within social media-based dialogic social accountability processes.

The rapid growth of social media has changed how people interact and connect with one another while also giving rise to new social-media associated psychological experiences, such as the well-known fear of missing out (FoMO) and the somewhat new phenomena, the joy of missing out (JoMO). This study aims to develop a new scale for measuring JoMO and explore its independent nature and relationships with well-being, social comparison and demographic variables.

A sample of 230 participants filled out an online survey, including questions about demographic details, well-being, social media engagement, social comparison, FoMO and a new JoMO scale. The data was analyzed using exploratory factor analysis, hierarchical regression and structural equation modeling.

The study confirmed the validity and reliability of the new JoMO scale in three sub-categories: active JoMO, passive JoMO and coping with disconnection. Younger individuals and those who were single, with weaker psychological well-being, higher engagement in social media and greater social comparison inclinations tended to experience higher levels of FoMO. Conversely, older individuals, women and those who enjoyed stronger psychological well-being and reduced social media engagement demonstrated higher levels of JoMO. The findings also suggest a complex relationship between FoMO and JoMO.

The creation of an innovative JoMO measurement tool could transform both scholarly research and practical approaches to digital media interactions. This tool offers a deeper understanding of the intricate links between JoMO and factors such as social comparison and FoMO, paving the way for targeted interventions. By utilizing this, experts can foster healthier online behaviors and better psychological health through increased JoMO consciousness, reduced social media engagement and social comparisons, and FoMO management. Therefore, this fresh instrument assists in clarifying and improving how individuals engage with digital technology.

This research validates the JoMO scale, enhancing our understanding of JoMO and its potential effects on well-being, as well as its associations with other variables. In addition, this research provides valuable insights for future studies on social media use and JoMO, and for developing effective strategies for managing healthier online experiences.

Social media is replete with malicious and unempathetic rhetoric yet few studies explain why these emotions are publicly dispersed. The purpose of the study is to investigate how the intergroup counter-empathic response called schadenfreude originates and how it prompts media consumption and engagement.

The study consists of two field surveys of 635 in-group members of two professional sports teams and 300 residents of California and Texas with political party affiliations. The analysis uses SEM quantitative methods.

Domain passion and group identification together determine the harmonious/obsessive tendencies of passion for an activity and explain the schadenfreude response toward the rival out-group. Group identification is a stronger driver of obsessive passion compared to harmonious passion. Schadenfreude directly influences the use of traditional media (TV, radio, domain websites), it triggers social media engagement (posting), and it accelerates harmonious passion's effects on social media posting.

The study is limited by the groups used to evaluate the research model, sports, and politics.

The more highly identified and passionate group members experience greater counter-empathy toward a rival. At extreme levels of group identification, obsessive passion increases at an increasing rate and may characterize extremism. Harboring feelings of schadenfreude toward the out-group prompts those with harmonious passion for an activity to more frequently engage on social media in unempathetic ways.

This study links the unempathetic, yet common emotion of schadenfreude with passion, intergroup dynamics, and media behavior.

This study investigates the following research question: What pedagogical strategies are necessary for the success of HyFlex course design? The findings to this question are based in new media literacies and help to further pedagogy in an emerging HyFlex model while also grounding in needed theorization.

This study uses design-based research (DBR) across two iterations and four doctoral, higher education courses, using mixed methods of data collection and analysis.

Six pedagogical strategies influential for HyFlex research are presented, each grounded in a new media literacy skill.

These six pedagogical strategies help practitioners grappling with the HyFlex or blended learning model merge traditional pedagogy with how this might be tailored for students entrenched in a participatory culture.

The authors argue that privacy is integral to the well-being of consumers and an essential component in not only corporate social responsibility (CSR) but what they term uniquely as social media responsibility (SMR). A conceptual framework is proposed that delineates the privacy issues companies should pay attention to in artificial intelligence (AI)-fueled social media environments.

The authors review literature on privacy issues in social media and AI in the academic and practitioner literatures. Based on the review, arguments focus on the need for an SMR framework, proposing responsible use of consumer data that is attentive to consumers' privacy concerns.

Implications from the framework are a path forward for social media companies to treat consumer data more fairly in this new environment. The framework has implications for companies to reduce potential harms to consumers and consider addressing their power and responsibility. With social media and AI transforming consumer behavior so profoundly, there are a variety of short- and long-term social implications.

Since AI tools are becoming integral to social media company activities, this research addresses the changing responsibilities social media companies have in securing consumers' data and enabling consumers the agency to protect their privacy effectively. The authors propose an SMR framework based on CSR research and AI tools employed by social media companies.

The purpose of the paper is to investigate the marketing and communication activities carried out by small management consulting firms and how they relate to customers.

After the framing of the literature on the subject, the study is based on the results of a survey carried out through an online questionnaire. The sample under investigation is represented by 914 small consulting firms located in central Italy.

Results show that half of the sample carried out marketing and communication activities, mainly through the website and social media, while others participating in events as speakers at conferences. It also emerges that management consulting firms carry out activities aimed at maintaining relationship with customers even if they do not invest time in market research in order to find potential and new clients.

The study suggests that management consulting firms should adopt a systematic and strategic approach to communication and should develop a complete and integrated digital communication strategy, as well as to rethink the consulting business model.

There are no previous studies that provide insight into the everyday practice of marketing and communication of small management consulting services in today's dynamic and changing economic environment.