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The paper aims to examine how employees influence their employer’s brand by applying Taylor’s (1999) six segment message strategy wheel in an employee influencer context.

The research uses a content analysis of employees’ public social media posts – including captions and images – to analyze the message strategies employees use to promote their employers.

While ego and social were popular message strategies in both the images and captions, the findings evidence the varying message strategies employees use in text-based versus image-based messages. Four “imagined audiences” of employee influencers are identified: current customers, prospective customers, current employees and prospective employees.

The research provides insight into how employees act as influencers in building their employer brand on social media.

A unique measurement tool is developed that can be used by companies and future researchers to decode employees’ online communications.

This research contributes to theory and practice in the following important ways. First, the research provides a modernization of an existing framework from an offline setting to an applied industry context in an online setting. Second, this research focuses on a subtype of social media influencer, the employee influencer, which is an underdeveloped area of research. Third, a unique measurement tool to analyze text-based and image-based social media data is developed that can be used by companies and future researchers to decode employees’ online communications.

With the changing times, the role of social media has increased manifold. It acts as one of the platforms for disseminating information to the public faster. Social media enables us to focus on widespread ways of reaching the target audience. The principal motto of this research study is to identify the role of social media in public health development with a systematic review of literature in terms of its practice, assistance and application in future areas of public health measures.

The research adopted a bibliometric analysis method to analyze the data from vast sources. The Scopus database was used to extract papers using appropriate keywords. Thus, the study tries to answer the following research questions: (1) to determine the key journals, authors and keywords in the public health development research; (2) to provide a theme-based cluster based on the keywords’ cooccurrences; and (3) to develop a research framework for the upcoming researchers.

The study's findings provide a path to understanding the present research stream regarding the highest publication in terms of journals and the year and relevance of social media in public health development. Five theme-based clusters have been identified based on keyword cooccurrences. Thus, future researchers can extend the research field using different themes and frameworks, adding value to the present research works.

This research work is helpful to the government, health practitioners, policymakers and researchers in investigating areas where social media can be implemented. Lastly, social media applications will provide health development measures and lucrative results to the public.

The research enumerates the significance of social media in public health development through bibliometric analysis. The research work analyzed, reviewed and measured the importance of social media in health development measures by recognizing its usage, application and potential future research directions. The theme-based clusters have also been identified from the keywords’ cooccurrences.

This study concentrates on assessing the research productivity in the domain of social media security in the past decades. The purpose of this study is to conduct a comprehensive bibliometric review on social media using various bibliometric indicators.

A total of 8,121 scientific publications were retrieved from Scopus database from period 1998 to 2021 using associated keyword search. This study also used VOSviewer^© tool to evaluate the network visualisation.

The result of this study revealed that there is a steady growth of annual publications except for the years 2015 and 2016. A total of 8,121 scientific publications and 80,454 total citations were found with 11.2 average citations per publication. The USA, China and India were top productive countries in terms of publishing research in the field; Chinese Academy of Sciences secured top position with 126 publications in highly productive organisation in the domain. The lecture notes in computer science from Springer Nature received a highly produced title with 553 publications and 4,453 total citations. For co-occurrence of author’s keywords, network visualisation analysis revealed that “Social Media”, “Social Network”, “Security”, “Privacy” and “Trust” found maximum occurrence in the domain of social media security.

This study provides comprehensive research status of social media security by performing a bibliometric analysis. The findings of this study will help relevant researchers to understand the research trend, pursue scientific collaborators and enhance research topic preferences.

The rareness of this study, detailed bibliometric analysis on the domain of social media security, is proven using numerous bibliometric indicators and application of VOSviewer in the domain.

The recent advancements in smartphone technology and social media platforms have increased the popularity of artificial intelligence (AI) color cosmetics. Meanwhile, China is a lucrative market for various foreign beauty products and technological innovations. This research aims to investigate the adoption of AI color cosmetics applications and their electronic word-of-mouth (e-WOM) intention among Chinese social media influencers. Several key concepts have been proposed in this research, namely body esteem, price sensitivity, social media addiction and actual purchase.

An online questionnaire design was used in this research. A combination of purposive sampling and snowball sampling of AI color cosmetics users who are also social media influencers in China yields 221 respondents. To analyze the data, this research employs Structural Equation Modelling (SEM) method via SPSS and AMOS software. A 2-step approach, Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA), is implemented to prove the hypotheses and generate the results.

1) Social media addiction is a positive predictor of AI color cosmetics usage, (2) AI color cosmetics usage is a positive predictor of actual purchase, (3) actual purchase is a positive predictor of e-WOM intention and lastly, (4) there is a full mediation effect of actual purchase.

This research draws on the uses and gratification (U&G) theory to investigate how specific user characteristics affect Chinese social media influencers' adoption of AI color cosmetics, as well as how this may affect their decision to purchase branded color cosmetics and their e-WOM.

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.

This paper aims to examine social media communication that may consist of a database for online research and may create an online imagined community that follows special language symbols and shares common beliefs in a similar way to Anderson’s imagined communities.

Well-known databases were searched in the available literature for specific keywords which were associated with the imagined community, and methodological tools such as online interviews, content analysis, archival analysis and social media.

The paper discusses the use of multiple measures, such as document and archival analysis, online interviews and content analysis, which may derive from the online imagined community that social media create. Social media may in fact provide useful data that are available for research, yet are relatively understudied and not fully used in communication research, not to mention in archival services. Comparison takes place between online community’s characteristics and traditional communication research. Information and communication technologies (ICTs) and social media’s use of special language requirements may categorise discussion of these potential data, based on specific symbols, topical threads, purposeful samples and catering for longitudinal studies.

Social media have not been fully implemented for online communication research yet. Online communication may offer significant implications for marketers, advertisers of a company or for an organisation to do research on or for their target groups. The role of libraries and information professionals can be significant in data gathering and the dissemination of such information using ICTs and renegotiating their role.

The theoretical contribution of this paper is the examination of the creation of belonging in an online community, which may offer data that can be further examined and has all the credentials to do so, towards the enhancement of online communication research. The applications of social media to research and the use by and for information professionals and marketers may in fact contribute to the management of an online community with people sharing similar ideas. The connection of the online imagined community with social media for research has not been studied, and it would further enhance understanding from organisations or marketers.

The practice of frontline employees articulating their brand voice and posting work-related content on social media has emerged; however, employee brand equity (EBE) research has yet to be linked to employees’ social media activity. This paper aims to take a methods-based approach to better understand employees’ roles as influencers. As such, its objective is to operationalize and apply the three EBE dimensions – brand consistent behavior, brand endorsement and brand allegiance – using Instagram data.

This qualitative research uses a case study of employee influencers at SoulCycle, a leading North American fitness company and examines 100 Instagram images and 100 captions from these influential employees to assess the three EBE dimensions.

Brand consistent behavior (what employees do) was the most important EBE dimension indicating that employees’ social media activities align with their employer’s values. Brand allegiance (what employees intend to do in the future) whereby employees self-identify with their employer on social media, followed. Brand endorsement (what employees say) was the least influential of the three EBE dimensions, which may indicate a higher level of perceived authenticity from a consumer perspective.

This research makes three contributions. First, it presents a novel measure of EBE using public Instagram data. Second, it represents a unique expansion and an evolution of King et al.’s (2012) model. Third, it considers employees’ work-related content on social media to understand employees’ role as influencers and their co-creation of EBE, which is currently an under-represented perspective in the internal branding literature.

The purpose of this paper is to characterize and identify the existing studies on the relationship between technological media and development

The authors conducted a systematic mapping study to identify and analyze the related literature. The authors identified 196 primary studies, dated from 2000 to 2017 and categorized them with respect to research focus, types of research and research method.

A total of 97 studies were identified and mapped, synthesizing the available evidence on the relationship between technological media and development. “Social development” with 54 articles and “communication” with 34 articles were the dominant research focus. Regarding the research type, “Solution proposal” is the most frequently employed research type. “Case study,” “discussion paper” and “interview,” respectively were the most used research methods. However, “SNA,” “focus group” and “time series” were used less often. “Solution proposal” was the most common research type between 2015 and 2017, and after that “philosophical paper” was the dominant research paper type. Further, the number of publications has increased between 2006 and 2017.

This mapping study is the first systematic exploration of the state-of-art on technological media-development nexus. The existing body of knowledge is limited to a few high quality studies.

This paper aims to investigate the adverse effects of addiction to social media usage on expatriates' cultural identity change in cross-cultural settings.

A questionnaire survey was conducted in two public universities in China. Among the questionnaires distributed, 333 useful responses were obtained from international students for data analysis.

Regression results show addiction to social media usage exerts adverse effects by negatively moderating the relationship between associations with locals and the three dimensions of cultural intelligence. Addiction to social media usage impairs expatriates from developing cultural intelligence from associations with locals, which in turn affects their cultural identity change.

Research findings suggest that expatriates, administrators and educators should be highly aware of the adverse effects of addiction to social media usage in complex cross-cultural settings wherein expatriates are more dependent on information technology. The important role of cultural intelligence should also be highlighted for its bridging role in managing cultural identity change for acculturation purpose. No causal relationships between variables can be established considering the cross-sectional design of the research. Longitudinal or experimental design could be a promising methodology for future efforts.

The current research contributes to the knowledge on information management applied to cross-cultural settings. The present study combines an IT contingent view with cross-cultural study to explore the adverse effects of addiction to social media usage on the development of expatriates' cultural intelligence from associations with locals, thereby influencing cultural identity change. The research provides new perspectives to expand the nomological framework of cross-cultural studies by combining the enabling roles of information technology.

The purpose of this paper is to examine antecedents of customer engagement on social media and how these platforms can enhance customers’ continuation intention. Customer engagement is manifested by the continued use of social media and is expected to occur when customers have a positive attitude toward social media. Thus, the main objective of this research is to explore the factors that affect customers’ attitude toward social media, which in turn is expected to result in customer engagement. Attitude toward social media is proposed to have an impact on levels of use and satisfaction is proposed to have a direct impact on customer engagement. An extended technology acceptance model (TAM) is used as the basic model guiding this research.

The theoretical model is tested drawing on the results of empirical work in the form of a large scale survey conducted on a random sample of the US general population. Data collection resulted in 388 usable questionnaires. Structural equation modeling is used to analyze data.

Results of this research provide support to the research objectives. Two of the three proposed factors extending TAM, namely, perceived connectedness and enjoyment were found to have a significant effect on attitude toward social media use. Attitude toward social media use was found to have a significant effect on level of use and level of use was found to have a significant effect on continuation intention. Additionally, satisfaction was found to have a significant direct effect on continuation intention.

Findings of this research provide managers with useful insights about what they need to focus on when designing their social media strategies.

This study provides a different way of theorizing customer engagement by incorporating new variables to TAM that are particularly relevant to the social media context. It also draws a link between attitude toward social media and levels of use, which has been understudied in literature.