Social media research: Theories, constructs, and conceptual frameworks

By Eric Wai Ting Ngai, Spencer S. C. Tao, Karen Ka-Leung Moon. International Journal of Information Management, 2015

768 citations recorded by the source corpus.

Subfields: Communication, Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/a0a84f88db9596cd4d08a2733c135ba8914a402e

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Citations in the corpus

Social media for knowledge-sharing: A systematic literature review (2018, background): “It is notable that social media applications have been recognized as being useful for facilitating organizational knowledge sharing activities, included in their daily operations, and in other business matters (Ngai et al., 2015).”
Why do people play games? A meta-analysis (2017, background): “…utilitarian-hedonic continuum has been the most dominant one, more recent work has also heavily incorporated social aspects among main determinants of IS use in addition to utilitarian and hedonic factors (See. e.g. Hamari & Koivisto 2015; Li & Mao 2015; Mäntymäki & Riemer 2014; Ngai et al. 2015).”
Sharing of fake news on social media: Application of the honeycomb framework and the third-person effect hypothesis (2020, neutral): “Scholars have used the honey-comb framework to study social media adoption (Ngai et al., 2015), online recovery strategies (Azemi et al., 2019), etc. Highlighting the shortage of frameworks and theories to analyse social media strategies, Effing and Spil (2016) suggested that the framework serves…”
Setting the future of digital and social media marketing research: Perspectives and research propositions (2020, background): “In respect of theory, a diverse range of theories have been employed, including personal behavior theories, social behavior theories, and mass communication theories (Ngai et al., 2015); this diversity has both strengths and weaknesses.”
Examining branding co-creation in brand communities on social media: Applying the paradigm of Stimulus-Organism-Response (2018, background): “User characteristics refer to demographic variables, user personality, and cultural differences (Ngai et al., 2015).”