The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Advances in Social Media Research: Past, Present and Future
Open accessAbstract
Social media comprises communication websites that facilitate relationship forming between users from diverse backgrounds, resulting in a rich social structure. User generated content encourages inquiry and decision-making. Given the relevance of social media to various stakeholders, it has received significant attention from researchers of various fields, including information systems. There exists no comprehensive review that integrates and synthesises the findings of literature on social media. This study discusses the findings of 132 papers (in selected IS journals) on social media and social networking published between 1997 and 2017. Most papers reviewed here examine the behavioural side of social media, investigate the aspect of reviews and recommendations, and study its integration for organizational purposes. Furthermore, many studies have investigated the viability of online communities/social media as a marketing medium, while others have explored various aspects of social media, including the risks associated with its use, the value that it creates, and the negative stigma attached to it within workplaces. The use of social media for information sharing during critical events as well as for seeking and/or rendering help has also been investigated in prior research. Other contexts include political and public administration, and the comparison between traditional and social media. Overall, our study identifies multiple emergent themes in the existing corpus, thereby furthering our understanding of advances in social media research. The integrated view of the extant literature that our study presents can help avoid duplication by future researchers, whilst offering fruitful lines of enquiry to help shape research for this emerging field.
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Cites
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“Chung et al. (2017) employ the Technology Acceptance Model, and find positive effects between traveller readiness and ease of using geo-tagging.”
InfluentialSelf-citationEmotions and Information Diffusion in Social Media—Sentiment of Microblogs and Sharing Behavior
Stieglitz, S., & Dang-Xuan, L. (2013) · Journal of Management Information Systems · doi:10.2753/mis0742-1222290408 · Cited by 1,604
An empirical validation of a unified model of electronic government adoption (UMEGA)
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Self-citationContent or Community? A Digital Business Strategy for Content Providers in the Social Age1
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Citizens' adoption of an electronic government system: towards a unified view
Rana, N. P., Dwivedi, Y. K., Lal, B., Williams, M. D., & Clement, M. (2017) · Information Systems Frontiers · doi:10.1007/s10796-015-9613-y · Cited by 373
Self-citationKrasnova, H., Widjaja, T., Buxmann, P., Wenninger, H., & Benbasat, I. (2015) · Information Systems Research · doi:10.1287/isre.2015.0588 · Cited by 304 · cited 3×
“…2011) restricted interest to peer influence and information disclosure willingness (2010 – 2012), the latter studies (for instance, Gu et al. 2014; Krasnova et al. 2015) were seen to be more exploratory in examining the positive, dysfunctional, cognitive and affective, heterophily and homophily…”
The Central Role of Engagement in Online Communities
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Barrett, M., Oborn, E., & Orlikowski, W. (2016) · Information Systems Research · doi:10.1287/isre.2016.0648 · Cited by 269
Patient data as medical facts: social media practices as a foundation for medical knowledge creation
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Cited by
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., et al. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.08.002 · Cited by 4,611
Self-citationDwivedi, Y. K., Ismagilova, E., Hughes, D. L., Carlson, J., Filieri, R., Jacobson, J., Jain, V., Karjaluoto, H., Kefi, H., Krishen, A. S., et al. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102168 · Cited by 4,608
“Social media enables companies to connect with their customers, improve awareness of their brands, influence consumer’s attitudes, receive feedback, help to improve current products and services and increase sales (Algharabat et al., 2018; Kapoor et al., 2018; Kaur et al., 2018, Lal et al., 2020).”
BackgroundSelf-citationSokolova, K., & Kefi, H. (2020) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2019.01.011 · Cited by 1,650
Romanello, M., Napoli, C. D., Green, C., Kennard, H., Lampard, P., Scamman, D., Walawender, M., Ali, Z., Ameli, N., Ayeb-Karlsson, S., et al. (2023) · The Lancet · doi:10.1016/s0140-6736(23)01859-7 · Cited by 1,275
Masuda, H., Han, S. H., & Lee, J. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.121246 · Cited by 576
Metadata
- Authors
- Kapoor, K. K., Tamilmani, K., Rana, N. P., Patil, P., Dwivedi, Y. K., & Nerur, S.
- Venue
- Information Systems Frontiers
- Published
- 2017-11-06
- Volume
- 20
- Issue
- 3
- Pages
- 531-558
- ISSN
- 1387-3326 (ISSN-L)
- 1572-9419
- OpenAlex
- W2767327746
- Cited by
- 1,285
- References
- 13
- FWCI
- 211.06
- Type
- journal article
- Language
- en
- Open access
- hybrid
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