Search results

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.

This paper aims to examine the relationship between being members of social media business networks and SME performance by comparing business performance between family-owned SMEs that are members and non-members of social media business networks.

The analysis empirically draws on cross-sectional data of 9,292 English and Welsh family-owned SMEs from the UK's Government Small Business Survey 2015. Propensity Score Matching (PSM) is applied to control for selection bias and differences in firm characteristics before comparing business performance, measured in terms of annual turnover, sales-growth intention and innovation between family-owned SMEs that are members and non-members of social media business networks.

The findings show that family-owned SMEs that are members of social media business networks are more likely to have higher prior turnover and to grow their sales than non-members. Also, they are more likely to report being innovative in products and processes than non-members. The empirical results acknowledge the importance of online business networks and digital social capital on enhanced family-owned business performance.

This paper is the first to explore the comparative analysis of business performance between family-owned SMEs that are members and non-members of social media business networks. This paper is important for the development of family business research by providing a comprehensive evidence-based analysis regarding the importance of online business networks to improve family-owned business performance, given the significant contribution of digital business activities to the UK economy.

Present study aims to extend the lattice Boltzmann method (LBM) to simulate radiation in geometries with curved boundaries, as the first step to simulate radiation in complex porous media. In recent years, researchers have increasingly explored the use of porous media to improve the heat transfer processes. The lattice Boltzmann method (LBM) is one of the most effective techniques for simulating heat transfer in such media. However, the application of the LBM to study radiation in complex geometries that contain curved boundaries, as found in many porous media, has been limited.

The numerical evaluation of the effect of the radiation-conduction parameter and extinction coefficient on temperature and incident radiation distributions demonstrates that the proposed LBM algorithm provides highly accurate results across all cases, compared to those found in the literature or those obtained using the finite volume method (FVM) with the discrete ordinates method (DOM) for radiative information.

For the case with a conduction-radiation parameter equal to 0.01, the maximum relative error is 1.9% in predicting temperature along vertical central line. The accuracy improves with an increase in the conduction-radiation parameter. Furthermore, the comparison between computational performances of two approaches reveals that the LBM-LBM approach performs significantly faster than the FVM-DOM solver.

The difficulty of radiative modeling in combined problems involving irregular boundaries has led to alternative approaches that generally increase the computational expense to obtain necessary radiative details. To address the limitations of existing methods, this study presents a new approach involving a coupled lattice Boltzmann and first-order blocked-off technique to efficiently model conductive-radiative heat transfer in complex geometries with participating media. This algorithm has been developed using the parallel lattice Boltzmann solver.

The purpose of this paper is to describe the development and pilot of a novel program to support autistic adults with social media use. Social media use among autistic adults has been associated with increased happiness and closer friendships. However, autistic adults are at risk of social media challenges such as cyber-victimization. To date, no programs exist that specifically support autistic adults with safe and effective social media use. The primary aim of this study was to develop and pilot test a novel social media skills program for feasibility and acceptability. A secondary aim was to explore changes in Facebook activity as a proxy for online social engagement.

The socialization, education and learning for the internet (SELFI) program was developed by identifying relevant target skills, goals, considerations and evidence-based strategies to help autistic adults with online social communication. The developed SELFI program was then pilot tested with six autistic male young adults to explore initial feasibility (fidelity of delivery, attendance) and acceptability (attrition, enjoyment and programmatic feedback). Facebook data were collected to explore differences in the frequency of likes/reactions, comments and posts after completion of the program.

Each participant completed all procedures and attended every session. There was no attrition from the program. The average fidelity score for recorded sessions was 85.1%. Most participants endorsed agreement with program enjoyment and that it helped them maintain current relationships. Participant feedback provided valuable information regarding areas of strength and areas that needed improvement. Each participant who completed the study demonstrated increased Facebook engagement across likes/reactions, comments and posts.

Limitations include a small all-male sample, exclusion of adults with intellectual disabilities and adolescents and dependence on Facebook data. Additionally, the developed program did not incorporate feedback from relevant stakeholders, including autistic adults.

To the best of the authors’ knowledge, this is one of the first studies to explore support for autistic adults specifically related to social media use.

Drawing on symbolic interaction theory (SIT), this study aims to identify what makes corporate social responsibility (CSR) communication more favorable to customers in the chain restaurants context. Specifically, this study examines the direct relationships between the interactivity of CSR communication, brand trust and brand sincerity. In addition, the mediating role of brand trust (i.e. separate dimensions of brand reliability and intentions) and the moderated mediating role of self-congruity are explored.

A total of 418 US consumers with past experiences of participating in CSR campaigns organized by chain restaurants on social media were recruited using the online survey method of nonprobability sampling through Amazon Mechanical Turk in December 2021.

The results of this study revealed that the interactivity of CSR communication on social media affects brand sincerity; brand reliability and brand intentions mediate the positive effect of interactivity of CSR communication on brand sincerity; and customer’s self-congruity moderated the positive mediation effect via brand reliability.

Chain restaurant marketers need to understand the important role of interactivity as a key element of CSR communication on social media to help develop brand trust and brand sincerity in chain restaurants.

This study expands on SIT to support the symbolic benefits of interactive CSR communication on social media.

The use of social media is becoming increasingly important for entrepreneurial marketing as a way to gain psychological empowerment through female entrepreneurship. The participation of female entrepreneurs on social media has witnessed an increasing trend. The purpose of this study is to understand the impact of social media participation on female entrepreneurs towards digital entrepreneurship intention and their psychological empowerment.

This cross-sectional study integrates the Stimulus–Organism–Response framework with uses and gratification theory to understand and determine a theoretical framework in understanding the importance of social media for female entrepreneurship in the contemporary digital era. To ensure internal consistency of the latent constructs, this study determines Cronbach’s alpha for all the variables. Further, exploratory factor analysis is performed to ensure the unidimensionality of the latent constructs. Structural equation modelling is performed to test the theoretical framework.

Data analysis confirms the significant effect of social media participations on female entrepreneurs towards their digital entrepreneurship intention which further affects their psychological empowerment.

The practical contributions of this study highlight the importance of female entrepreneurship which is essential for attaining self-reliance by reducing the socio-economic barriers. Further, female entrepreneurs’ participation in social media communities enhances the levels of empowerment.

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.

This study aims to use empowerment theory to examine the relationship between a user's engagement type (active or passive) and psychological empowerment (intrapersonal and interactional) in the context of a social media brand community (SMBC). This study also looks at the impact of psychological empowerment on brand community commitment (CC) and brand loyalty.

Convenience and snowball sampling were used to select respondents from mobile phone brand communities in India. The conceptual model was tested using structure equation modelling.

According to the study findings, active user involvement in SMBC is strongly associated to both intrapersonal and interactional empowerment (IE), but passive user engagement is weakly related to IE. Furthermore, customer empowerment and CC have a strong impact on brand CC and brand loyalty.

SMBC is now a significant point of contact for building strong consumer–brand relationships. SMBC members who are actively involved in the community have greater emotional bonding, trust and commitment to the brand. Therefore, social media marketers should encourage their customers to get involved in a brand community and empower them by involving them in brand related decision, etc. This will help the community grow and thrive.

This study addresses a research gap by examining how active and passive members of an SMBC facilitate both focal points of psychological empowerment (intrapersonal and interactional), which increase the brand community's commitment and brand loyalty.