Abstract:With the pervasive use of social media (SM) in organizations, it is regarded as a relevant driver that can influence an employee’s job performance. This study fills in the gap that extends the job performance concept by discovering the role of SM in innovative performance in introducing new ideas beyond standard specifications to produce novel and valuable organizational outcomes. By adopting the social capital theory (SCT), the present study investigates the roles of social media use at work in predicting soc… Show more
“…Research findings show that the use of social media (SM) in the work environment has a significant impact on the formation of network ties, shared vision, and trust levels. Moreover, network ties and trust tend to increase the level of work engagement, except in the context of shared vision (Kasim et al, 2022). When it comes to social media, it is important to note that the trust instilled in these platforms has a significant impact on consumers' purchase intentions (Wang et al, 2022).…”
This paper aims to provide scientometric and content analysis towards e-commerce and social media research in Asia. The Web of Science (WoS) and Scopus databases were used in searching for articles. There were 884 (433 publications from the Web of Science and 451 articles from Scopus) papers analysed. Based on the analysis of two databases, the number of publications from the Web of Science database showed a significant increase yearly. In comparison, the Scopus database showed fluctuating growth every year. One of the countries that enormously contributed to the research was China, which can be seen from the author’s and country’s analyses. The ACM International Conference Proceeding Series was the most contributing conference proceedings. Based on the keyword results, there are five keywords that appear most often. Referring to the data from the last two years (2021–2022), the keywords “machine learning” and “social media marketing” are the most frequently used. These two keywords are most often associated with e-commerce and social media keywords. These findings are expected to provide a substantial understanding towards e-commerce and social media research, particularly in the Asian region. This paper will assist researchers in understanding new topics, collaborating with other researchers, and determining relevant sources and countries. Analysed keywords can inspire new research. Consequently, researchers can learn about new technology, societal changes, and impending challenges and opportunities by tracking keyword trends.
“…Research findings show that the use of social media (SM) in the work environment has a significant impact on the formation of network ties, shared vision, and trust levels. Moreover, network ties and trust tend to increase the level of work engagement, except in the context of shared vision (Kasim et al, 2022). When it comes to social media, it is important to note that the trust instilled in these platforms has a significant impact on consumers' purchase intentions (Wang et al, 2022).…”
This paper aims to provide scientometric and content analysis towards e-commerce and social media research in Asia. The Web of Science (WoS) and Scopus databases were used in searching for articles. There were 884 (433 publications from the Web of Science and 451 articles from Scopus) papers analysed. Based on the analysis of two databases, the number of publications from the Web of Science database showed a significant increase yearly. In comparison, the Scopus database showed fluctuating growth every year. One of the countries that enormously contributed to the research was China, which can be seen from the author’s and country’s analyses. The ACM International Conference Proceeding Series was the most contributing conference proceedings. Based on the keyword results, there are five keywords that appear most often. Referring to the data from the last two years (2021–2022), the keywords “machine learning” and “social media marketing” are the most frequently used. These two keywords are most often associated with e-commerce and social media keywords. These findings are expected to provide a substantial understanding towards e-commerce and social media research, particularly in the Asian region. This paper will assist researchers in understanding new topics, collaborating with other researchers, and determining relevant sources and countries. Analysed keywords can inspire new research. Consequently, researchers can learn about new technology, societal changes, and impending challenges and opportunities by tracking keyword trends.
“…And, as there is a gap in the literature regarding this, it is worth examining whether social media interaction has any negative implications for the wellbeing of an ageing population. For this purpose, we chose Malaysia, a country with a growing aging population [ 7 ] and extensive social media penetration [ 8 ]. In Malaysia the percentage of people aged 65 and above increased from 7.0 per cent to 7.4 percent [ 9 ] and it is projected to become an ageing nation by 2035 [ 10 ].…”
In recent years, users’ privacy concerns and reluctance to use have posed a challenge for the social media and wellbeing of its users. There is a paucity of research on elderly users’ negative connotations of social media and the way these connotations contribute to developing passive behaviour towards social media use, which, in turn, affects subjective wellbeing. To address this research vacuum we employed the stressor-strain-outcome (SSO) approach to describe the evolution of passive social media use behaviour from the perspective of communication overload, complexity, and privacy. We conceptualized subjective wellbeing as a combination of three components–negative feelings, positive feelings, and life satisfaction. Negative and positive feelings were used to derive an overall affect balance score that fluctuates between ‘unhappiest possible’ and ‘happiest possible’. The proposed research framework was empirically validated through 399 valid responses from elderly social media users. Our findings reveal that communication overload and complexity raise privacy concerns among social media users, which leads to passive usage of social media. This passive social media use improved the subjective wellbeing favourably by lowering negative feelings and raising positive feelings and life satisfaction. The findings also revealed that respondents’ overall affect balance leans towards positive feelings as a consequence of passive social media use. This study contributes to the field of technostress by illuminating how the SSO perspective aid the comprehension of the way passive social media use influences the subjective wellbeing of its users.
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