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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.

This study examines the direct and indirect effect mechanisms of how using smartphones for social media is associated with college students' civic engagement via levels of communication network heterogeneity and social capital. In addition, this study tests whether such indirect effects mechanisms are moderated by the need to belong.

The study analyzes data from an online survey (N = 580) conducted at a public university. The PROCESS macro is used to examine the mediation association between mobile social media use, communication network heterogeneity, social capital, and civic engagement and the moderated mediation conditional upon need to belong.

College students who often use smartphones for social media were more likely to communicate with people who have different socio-demographic characteristics and different opinions. There was also a positive mediation mechanism between smartphone use for social media, network heterogeneity, social capital and civic engagement, which means that college students who often use mobile social media are more likely to communicate with heterogeneous others and develop a sense of social capital, which in turn led to greater levels of civic engagement. Importantly, these indirect effects of smartphone use for social media on civic engagement were stronger for those with greater levels of need to belong.

The findings of the current study are significant given that little is known about how young adults' mobile social media use is associated with communication network heterogeneity and civic engagement in their everyday life. The research expands the research agenda by investigating the most popular interactive communication media platforms.

The purpose of this study is three fold: to provide a preliminary exploration of meeting planners' use and perceived usefulness of the different types of social media; to examine why meeting planners use social media and; to investigate the perception of adopting the social media, especially as perceived critical mass impacts the adoption of social networking media.

Data were collected from the members of a professional association for meeting professionals in the Southwest US using an online self‐administered questionnaire. A total of 510 members received an invitation to take the survey and 120 responses were received, representing a 23.5 percent response rate. Descriptive analysis, discriminant validity, reliability and path analysis were used to estimate the relationships between the five constructs: perceived critical mass, usefulness, ease of use, attitudes and intention to use social network media in the future.

The most commonly preferred social network sites were Facebook (29 percent), LinkedIn (15 percent), YouTube (13 percent), Twitters (11 percent) and My Space (11 percent) and the social networking media rated most useful were Facebook (mean=3.7), LinkedIn (mean=3.1), YouTube (mean=3.0), Blogs (mean=2.7), Webinars (mean=2.6) and Twitter (mean=2.5), The top three reasons for using social media were: to communicate with other planners easily and quickly through chat or discussion boards (80.4 percent), to share queries, problems, solutions and opinions with other meeting planners (70.1 percent) and to get feedback from attendees after meeting/event/convention (69.9 percent). Additionally, the path model used in the analysis indicated that perceived critical mass not only directly influences intention to use social network media but also indirectly affects attitude toward using social media and intention to use social media simultaneously through perceived ease of use and perceived usefulness.

Even though the social networking media has previously been used by many meeting planners to find information, few research studies have explored the meeting planners' perception of social networking media and what factors may have an effect on meeting planners' adoption of using social network media. This study provides a preliminary empirical analysis of meeting planners' perception of these tools and the factors that influence their utilization.

This paper aims to explore the connectivity between social media use, access to migrant networks, information asymmetry and migration intentions.

The study was conducted using data from individuals living in Nigeria and analysed with a generalized structural equation model, which is rare for this kind of research.

The authors find a dual mediating role of the social media and the migrant networks in facilitating migration, i.e. reducing the threshold cost required to migrate and introducing a bias in terms of information asymmetry. While social media and access to migrant networks directly increase migration intentions, this changes when incomplete information is provided. People who use social media and their migrant networks for information are more likely to have information about destination countries than information on the transit risk.

The study adds valuable insights for designing awareness campaigns aimed at reducing irregular migration.

This study contributes to the understanding of the intersection of migration and digitalization

This research tests empirically the level of consumer engagement with a product via a nonbrand-controlled platform. The authors explore how social media influencers and traditional celebrities are using products within their own social media Instagram posts and how well their perceived endorsement of that product engages their network of followers.

A total of 226,881 posts on Instagram were analyzed using the Inception V3 convolutional neural network (CNN) pre-trained on the ImageNet dataset to identify product placement within the Instagram images of 75 of the world's most important social media influencers. The data were used to empirically test the relationships between influencers, product placement and network engagement and efficiency.

Influencers achieved higher network engagement efficiencies than celebrities; however, celebrity reach was important for engagement overall. Specialty influencers, known for their “subject” expertise, achieved better network engagement efficiency for related product categories. The highest level of engagement efficiency was achieved by beauty influencers advocating and promoting cosmetic and beauty products.

To maximize engagement and return on investment, manufacturers, retailers and brands must ensure a close fit between the product type and category of influencer promoting a product within their social media posts.

Most research to date has focused on brand-controlled social media accounts. This study focused on traditional celebrities and social media influencers and product placement within their own Instagram posts to extend understanding of the perception of endorsement and subsequent engagement with followers. The authors extend the theory of network effects to reflect the complexity inherent in the context of social media influencers.

Muslims are obliged to make a contribution to the less fortunate through zakat, which is one of the means of wealth distribution. However, very few studies have investigated the behavioural intention of users toward social media networks that use creative animation for zakat online campaigns to promote zakat awareness in developing nations. The rich content of zakat in social media networks using creative animation could attract today’s youth to engage with zakat. This research aims to examine the factors that influence youths’ intention to use social media networks for understanding zakat online campaigns that use creative animation.

Data were analysed via Analysis of Moment Structures (AMOS) version 18 to test the covariance-based structural equation modelling technique.

The results reveal that social influence has the greatest significant impact on youths’ intention to use social media networks for understanding zakat online campaigns that use creative animation. Officers in zakat institutions are supportive of the use of zakat campaigns that use creative animation on social media networks to enhance zakat understanding of the youth. Besides, individuals who are important to them would recommend accepting zakat online campaigns that use creative animation on social media networks to enhance their zakat understanding.

The social media networks of the zakat institutions should be designed with more creative, interactive and animated content to improve the quality of communication about the importance and benefits of contributing zakat. The content creator should use an inspiring emotional marketing strategy in their social media postings, interactive infographics and interactive videos because informational posts and emotionally positive content travel quicker than any other sort of content on social media through social sharing.

This study is unique and is noticeable as very few studies have investigated youths’ behavioural intention after viewing zakat online campaigns with creative animation on social media networks in a developing nation to promote zakat awareness. This platform has great potential to increase the engagement of working youth as zakat payers.

Marketing and branding literature has provided important insights into the context, environment and individual factors that shape customer brand experience. However, a holistic view on context and environmental influence on enhancing brand experience, specifically in the online social media network context, has not been considered. In addition, main focus of the previous research is on antecedent and consequence of brand experience rather strategy for enhancing brand experience. This paper aims to propose a contingency model for enhancing brand experience to provide a more holistic framework in the uncertain and complex nature of online social media network.

The proposed framework is based on previous literature that is identified and integrated to propose effectiveness of the contingent determinants on brand experience in different interactional circumstances.

The proposed framework implies that brand characteristics and interactive complexities of online social media networks cause contingency to the marketers or brands’ strategic attempt in delivering superior brand experience in online social media network context. These forces are as follows: online social media network characteristic (interactivity); brands’ co-creation characteristics (consumers’ and stakeholders’ participation); brand’s technical and operational competency (brands’ knowledge, ease of interactive platform); internal human resource characteristics (employees’ behaviour, brands culture, brands reputation); and customer interactive characteristics (customer demographic characteristics, customer motivation, customer attitude). These identified forces can be optimized to formulate strategies in the interactive medium for enhancing brand experience.

This paper proposes a contingency model as well as research propositions that need to be validated and confirmed empirically. While narrowing down the current identified gap in brand experience literature by proposing a novel perspective to the concept, this research broadens and deepens understanding of the concept of brand experiences, how it is linked to the context and contextual factors. This contingency framework elucidates the resources that marketers, practitioners can use to enhance, limit or maintain all the dimensions within brand experience.

A holistic view on context and environmental influence on enhancing brand experience, specifically in the online social media network context, has not been considered so far. Although literature demonstrates the positive outcome of brand experience, little attention has been paid to enhancing customer brand experience, specifically in the context of online social media networks with various complex forces acting and influencing the way customers experience a brand.

The purpose of this study to shed light on the importance of social media hosted content related to socially-motivated discussions. Moving from the field of communication for development, the research leverages social media as a powerful tool for collecting and analyse peer-to-peer communication towards the conceptualization of eVoices of Unheard. The deep understanding of these conversation can generate recommendations for organizations and governments designing and providing interventions fostering local socio-economic development.

The study presents a large-scale analysis of social media interactions on the topic “#favela” to generate insights into a social network structure, narrative contents and meaning generated.

Structurally, the analysed networks are comparable with those presented in current academic literature; automatic text analysis confirmed the promise of the inner value of communication for development opening the floor to conceptualization of the “eVoices of unheard”, which is the collective and conscious use of social media to mediate community discussions about tangible and intangible issues related to socio-economic development.

Framed within the rise of interactive communication for development this research show that social media an support the notion of voice proposed by Couldry (2010) moving from process (i.e. the recording of the voice) towards value (i.e. the possibility of giving an account of one’s life and its conditions to have an impact on human life and resources) thereby understanding intangible issues related with socio-economic development.

This paper aims to propose and test a research model that links social media usage with networking capabilities on the commercialization performance.

The target population of this study consisted of 530 managers and experts in knowledge-based firms in Science and Technology Parks of Isfahan (Iran), which were active in the electronics and electronic engineering, bio, renewable energy, nano and information and communication technologies. To determine the effects of the social media and networking capability on the commercialization performance in knowledge-based firms, this study collected the data through a questionnaire survey with knowledge-based firms and conducted statistical analysis. The unit of analysis is the entire firm. The random sampling method was applied in this study. This study mainly uses the validated existing scales of previous studies on Likert-type scales with response options ranging from 1 to 5. To increase the response rate and accuracy, the researchers in this study also conducted phone and e-mail survey. A total of 230 questionnaires were conducted to remove the questionnaires with inadequate or missing answers, and the final 220 cases were selected as valid samples.

First, this research confirmed that social media usage can positively improve commercialization performance. Second, this research confirmed the mediating role of the networking capability on the relationship between social media usage and commercialization performance. In fact, social media tools represent a potential vehicle to help firms create better relationships with partners and increase commercialization performance via these mechanisms.

This study contributes to the existing literature by integrating the domains of social media usage and business networks perspective. Social media has revolutionized the way firms interact with business partners. A salient characteristic of today’s business setting is that partners use social media to nurture and sustain their network relationships with others (Kim et al., 2016). Moreover, based on the dynamic capability theory and business networks perspective, the authors introduce the impression management capability as a networking capability dimension that has been neglected and mentioned only briefly.

This study aims to the information about consumer product quality and safety that can easily attract public attention and become the focus of public opinion. In recent years, the fast-growing social media have become an import platform for firms for releasing product quality and safety information and for firms and governments to hear public opinion.

To explore how information about consumer product quality and safety gets disseminated and a public opinion is formed in social media, this paper proposes two information transmission models, one with government intervention and the other without government intervention, based on the theory of complex network. A simulation case study in MATLAB is conducted to verify the proposed models.

Information transmission models were constructed, one without government intervention and one with government intervention. The influence of information transmission with government intervention was analyzed. MATLAB was used to simulate the Barabasi and Albert (BA)-based model to consider event information level, government information level and possible panic population proportion. The government intervention effect was evaluated.

Based on a complex network, the derived transmission rule can provide decision-making support for monitoring and managing Web information of consumer product quality and safety.