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This study was conducted to achieve the following objectives: (1) determine the differences and reasons for using outgroup OSNs by gender, age and student groups (Mainland and Hong Kong [HK] students); (2) uncover the impact of online social networks (OSNs) on the development of Mainland–HK friendships and (3) determine the roles of different OSNs (social networking sites [SNSs] and instant messaging platforms [IMPs]) in the development of intercultural friendships in the real world.

To explore how OSNs facilitate (or inhibit) intercultural interactions, 198 students completed a questionnaire and 24 students participated in follow-up semi-structured interviews examining the role of OSNs in intercultural friendship development.

Results revealed that demographic and motivational preferences for using outgroup-OSNs differed among students. Both IMPs and SNSs helped students maintain friendships using little effort, whereas it tended to strengthen their existing social networks, rather than helping to start new friendships. IMPs helped develop a sense of “presence awareness”, strengthening pre-existing friendships and solidifying offline connections. SNSs also assisted students in exploring their shared interests while revealing their values and cultural differences.

The authors’ findings offered empirical evidence on social exchange theory and anxiety-uncertainty management theory regarding the perceived benefit of OSNs on students' friendship development.

The study sheds light on the differences between Mainland Chinese and HK students, including participants' perceptions of different friendship stages.

This study is interested in the roles of different SNSs and IMPs in intercultural friendship development, especially their strengths and weaknesses as perceived by students. Also, the authors are curious about how students select and use IMPs and SNSs differently according to their individual preferences and needs. To the authors’ knowledge, the dynamic link between online communication and intercultural friendship development has not been thoroughly examined in the field of intercultural communication.

Despite the advances in theory and practice about player behaviour in esports gaming literature, there is a lack of understanding as to whether esports are compatible with the values of Olympism and if they should be considered for future Games editions. The current study advances this line of research by examining esports player experiences, their effects on perceiving Olympic values, and the support towards the Olympics in order to verify if differences occur according to the cross-cultural environment.

Using a sample of 671 esports amateur gamers from three countries (Portugal, Brazil and Japan), structural equation models and a multigroup analysis were performed to analyse the differences in the hypothesized paths existing between the groups.

Results reveal that player in-game emotional experiences positively influence Olympic values perception across countries. The excellence and friendship values showed a positive effect on support intentions to the Games towards Portuguese and Brazilian players, while the respect value was the strongest predictor towards behavioural intentions in Japan. Cultural backgrounds and game genre in each country can explain player attitude towards the Olympic values shared on the online environment.

This study is able to provide a better understanding of how the Olympic values serve as a gratification in different cross-cultural environments according to the theory of uses and gratifications (U&G) and the theory of cultural dimensions. Complementarily, these findings can be used as valuable information for esports publishers and developers attempting to spread the Olympic values in the esports industry.

Social media use in autistic people has been identified as a potential avenue for less pressured social contact. Given shifts towards online socialisation, this study aims to systematically review the available literature on how autistic people experience and use social media.

A systematic review was carried out using the preferred reporting items for systematic reviews and meta-analyses system, with relevant literature reviewed and synthesised using a narrative approach. Inclusion criteria included adults and/or adolescents as the sole sample, a focus on autism and social media use as the sole/main topic.

A total of 1,278 research studies were initially identified; following screening, 15 papers were reviewed. Studies demonstrated some support for the positive role social media can play and presented its use as a smart adaptation for the challenges of neurotypical socialising. For autistic people, social media may provide a balance between meeting the need to be connected to people without the pressure of managing aspects, such as tone of voice or body language.

Most studies were questionnaire-based with substantial threats to validity. Samples were self-selecting, with autism status not always confirmed. Individual studies used a broad approach to the definition of social media, including online gaming and other online activities, precluding firm conclusions being made.

There may be a Goldilocks “just right” level of social media contact that could maximise connectedness to others without impacting negatively on mental health, offline relationships and activities of daily living.

This paper presents a novel account of research from case studies and larger scale questionnaire studies.

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.

Entrepreneurs and individual sellers heavily leverage their social ties embedded in social media, expressive or instrumental, to penetrate the market and achieve business success. However, the extant social commerce literature offers limited understanding on how different forms of buyer−seller social ties embedded in social media affect buyers' purchase behaviors. The study draws on the theoretical lens of social ties and proposes an integrative theoretical framework to understand the direct and indirect influences of expressive and instrumental ties (ExTSM and InTSM) between buyers and sellers on buyers' purchase intention (PI) in social commerce.

The authors first validated the measures of ExTSM and InTSM with survey data from 166 Weibo commerce buyers. They then tested their theoretical framework and hypotheses with survey data from 246 buyer−seller dyads in WeChat commerce.

With a buyer-centric view, (1) ExTSM and InTSM, respectively, had a direct negative and a positive influence on PI; (2) both trust and perceived product value displayed inconsistent mediation effects on the negative relationship between ExTSM and PI; and (3) only perceived product value mediated the positive influence of InTSM on PI. From sellers' viewpoint, (1) their ExTSM and InTSM with buyers were mixed up, and (2) the mingled social ties negatively impacted buyers' purchase intention.

The findings of the study advance the theoretical understanding of social commerce and offer practical guidance for small and medium-sized enterprises to effectively utilize social media for business purposes.

Many studies have examined the use of social media by either customers or firms, especially in developed markets. However, little is known about why young individual entrepreneurs use digital channels (DCs) as business platforms in emerging markets (EMs) and how they integrate them into their marketing activities. This paper aims to try filling this gap.

Given the exploratory nature of this research, the authors employ a qualitative approach based on a focus group (12 participants) and semi-structured interviews (8 participants) with young entrepreneurs in Saudi Arabia. The authors adopted a deductive thematic analysis based on pre-determined theoretical frameworks to analyse and interpret the data.

The authors found that the young entrepreneurs mainly used Instagram, Snapchat and, to a moderate extent, YouTube as digital marketing channels for advertising purposes. However, they used WhatsApp for establishing direct contact and personalising communication with customers. The entrepreneurs used these channels because they are useful, easy to use, cost-effective, fun and widely used by local customers. The authors also found that the entrepreneurs used social media and offline channels conjointly in three main marketing activities (communication/promotion, transactions and customer service) to boost the customer purchasing process. The complementarity of social media and offline channels was found to improve brand visibility, enlarge markets and strengthen the customer relationship. However, the achievement of these benefits varied across small firms depending on the entrepreneurs' abilities in coordinating multiple channels and according to the distinctiveness of their businesses.

This study contributes to the entrepreneurial literature by extending the unified theory of acceptance and use of technology (UTAUT) to explain the motives behind the use of DCs amongst individual entrepreneurs. Furthermore, this paper proposes a novel theoretical framework for studying the interaction between online and offline marketing channels during the purchasing process. Through this framework, the study provides new insights into channel coordination and multi-channel customer behaviours from the entrepreneur's perspective.

This study helps understand why small firms use different DCs. Likewise, it shows how young entrepreneurs coordinate online/offline channels in a complementary manner. The findings could also help in designing appropriate programmes encouraging young entrepreneurs to use online channels and social media to enhance their business activities.

This study offers a novel attempt at explaining the use of DCs and their interaction with traditional channels from the entrepreneur's perspective and brings new insights to why and how young entrepreneurs use DCs in an emerging market.

The unstoppable and exponential growth of social media use has given rise to concerns about the consequent effects on users. Among the major concerns are the psychological consequences, which have received considerable academic attention. The current mixed-methods research aims to examine women's social media use and its effects on their psychological well-being in a patriarchal culture, namely Pakistan.

This study employs a mixed-method research methodology. The quantitative section collected data from 240 women and used structural equation modelling to test the proposed hypotheses. Thematic analysis was used to analyse the in-depth interviews with ten women.

The integration of the findings revealed increased use of social media by women and its beneficial effects (communication and socialisation, escapism and self-presentation), though qualitative findings revealed the cultural implications and obstacles that women face (online anonymity and digital asylum). The study calls attention to women's social media usage patterns and the resulting effects on women's psychological well-being in a low-income country with a patriarchal social structure.

Most research remains limited to Western societies and young populations. The situation is somewhat different in developing economies with traditionally preserved cultures compared to Western societies. This study uniquely examines the influence of social media on psychological well-being in a developing country with a special cultural context.

This study examines some pertinent individual-level factors and consequences of consumers' continuous social media brand engagement (SMBE) practices. Further, this study examines the moderating effect of other-efficacy to deepen the understanding.

Online survey data collected from 785 respondents, through a convenience sampling technique on Facebook, was analyzed through structural equation (SEM) modeling with AMOS 23.0.

The findings suggest that compatibility with lifestyle, perceived information quality and escapism, which significantly drive consumers' continuous engagement with brands on social media. However, perceived enjoyment does not. Other-efficacy duly moderates consumers' continuous SMBE practices. While continuous SMBE significantly drives consumer-based brand equity (CBBE), continuous SMBE does not have any significant relationship with consumers' subjective well-being (SWB).

This study reports robust findings on the effects of individual-level factors that drive consumers' continuous SMBE practices. However, the study only focused on Facebook brand pages. This is a limitation for generalizability of results because the research did not take a holistic view of all types of social media.

The research suggests a need for managers to project their brands and share relevant and stimulating information throughout their continuous SMBE with consumers to build strong consumer–brand relationships. Managers should also engage consumers with interesting social media messages as well as both informative and transformative creative strategies to excite them. This will further give consumers a reason to continuously interact with the brand on social media platforms.

This study is one of the very few works to tease out pertinent factors that drive consumers' continuous SMBE practices. The paper integrates the consumer-level factors and moderating effects of other-efficacy through the lens of Social Cognitive Theory (SCT) and Uses and Gratification Theory (UGT) to make a significant contribution to the SMBE literature.

Communities representing groups of agents with similar interests or functions are one of the essential features of complex networks. Finding communities in real-world networks is critical for analyzing complex systems in various areas ranging from collaborative information to political systems. Given the different characteristics of networks and the capability of community detection in handling a plethora of societal problems, community detection methods represent an emerging area of research. Contributing to this field, the authors propose a new community detection algorithm based on the hybridization of node and link granulation.

The proposed algorithm utilizes a rough set-theoretic concept called closure on networks. Initial sets are constructed by using neighborhood topology around the nodes as well as links and represented as two different categories of granules. Subsequently, the authors iteratively obtain the constrained closure of these sets. The authors use node mutuality and link mutuality as merging criteria for node and link granules, respectively, during the iterations. Finally, the constrained closure subsets of nodes and links are combined and refined using the Jaccard similarity coefficient and a local density function to obtain communities in a binary network.

Extensive experiments conducted on twelve real-world networks followed by a comparison with state-of-the-art methods demonstrate the viability and effectiveness of the proposed algorithm.

The study also contributes to the ongoing effort related to the application of soft computing techniques to model complex systems. The extant literature has integrated a rough set-theoretic approach with a fuzzy granular model (Kundu and Pal, 2015) and spectral clustering (Huang and Xiao, 2012) for node-centric community detection in complex networks. In contributing to this stream of work, the proposed algorithm leverages the unexplored synergy between rough set theory, node granulation and link granulation in the context of complex networks. Combined with experiments of network datasets from various domains, the results indicate that the proposed algorithm can effectively reveal co-occurring disjoint, overlapping and nested communities without necessarily assigning each node to a community.

This study carries important practical implications for complex adaptive systems in business and management sciences, in which entities are increasingly getting organized into communities (Jacucci et al., 2006). The proposed community detection method can be used for network-based fraud detection by enabling experts to understand the formation and development of fraudulent setups with an active exchange of information and resources between the firms (Van Vlasselaer et al., 2017). Products and services are getting connected and mapped in every walk of life due to the emergence of a variety of interconnected devices, social networks and software applications.

The proposed algorithm could be extended for community detection on customer trajectory patterns and design recommendation systems for online products and services (Ghose et al., 2019; Liu and Wang, 2017). In line with prior research, the proposed algorithm can aid companies in investigating the characteristics of implicit communities of bloggers or social media users for their services and products so as to identify peer influencers and conduct targeted marketing (Chau and Xu, 2012; De Matos et al., 2014; Zhang et al., 2016). The proposed algorithm can be used to understand the behavior of each group and the appropriate communication strategy for that group. For instance, a group using a specific language or following a specific account might benefit more from a particular piece of content than another group. The proposed algorithm can thus help in exploring the factors defining communities and confronting many real-life challenges.

This work is based on a theoretical argument that communities in networks are not only based on compatibility among nodes but also on the compatibility among links. Building up on the aforementioned argument, the authors propose a community detection method that considers the relationship among both the entities in a network (nodes and links) as opposed to traditional methods, which are predominantly based on relationships among nodes only.

This study aims to empirically analyse the influence mechanism of perceived interactivity in real estate APP which affects consumers' psychological well-being. With the growing application of human–machine interaction in real estate APP, it is crucial to utilize human–machine interaction to stimulate perceived interactivity between humans and machines to positively impact consumers' psychological well-being and sustainable development of real estate APP. However, it is unclear whether perceived interactivity improves consumers' psychological well-being.

This study proposes and examines a theoretical model grounded in the perceived interactivity theory, considers the relationship between perceived interactivity and consumers' psychological well-being and explores the mediating effect of perceived value and the moderating role of privacy concerns. It takes real estate APP as the research object, analyses the data of 568 consumer samples collected through questionnaires and then employs structural equation modelling to explore and examine the proposed theoretical model of this study.

The findings are that perceived interactivity (i.e. human–human interaction and human–information interaction) positively influences perceived value, which in turn affects psychological well-being, and that perceived value partially mediates the effect of perceived interaction on psychological well-being. More important findings are that privacy concerns not only negatively moderate human–information interaction on perceived value, but also negatively moderate the indirect effects of human–information interaction on users' psychological well-being through perceived value.

This study expands the context on perceived interaction and psychological well-being in the field of real estate APP, validating the mediating role and boundary conditions of perceived interactivity created by human–machine interaction on consumers' psychological well-being, and suggesting positive implications for practitioners exploring human–machine interaction technologies to improve the perceived interaction between humans and machines and thus enhance consumer psychological well-being and span sustainable development of real estate APP.