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Social media-based systems: an emerging area of information systems research and practice

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  • Gohar Feroz Khan

    (Korea University of Technology and Education (KoreaTECH))

Abstract

This article presents a review of the social media-based systems; an emerging area of information system research, design, and practice shaped by social media phenomenon. Social media-based system (SMS) is the application of a wider range of social software and social media phenomenon in organizational and non-organization context to facilitate every day interactions. To characterize SMS, a total of 274 articles (published during 2003–2011) were analyzed that were classified as computer science information system related in the Web of Science data base and had at least one social media phenomenon related keyword—social media; social network analysis; social network; social network site; and social network system. As a result, we found four main research streams in SMS research dealing with: (1) organizational aspect of SMS, (2) non-organizational aspect of SMS, (3) technical aspect of SMS, and (4) social as a tool. The results indicates that SMS research is fragmented and has not yet found way into the core IS journals, however, it is diverse and interdisciplinary in nature. We also proposed that unlike the conventional and socio-technical IS where information is bureaucratic, formal, bounded within the intranet, and tightly controlled by organizations; in the SMS context, information is social, informal, boundary-less (i.e. boundary is within the internet), has less control, and more sharing of information may lead to higher value/impact.

Suggested Citation

  • Gohar Feroz Khan, 2013. "Social media-based systems: an emerging area of information systems research and practice," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 159-180, April.
    • Handle: RePEc:spr:scient:v:95:y:2013:i:1:d:10.1007_s11192-012-0831-5
    DOI: 10.1007/s11192-012-0831-5
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    Cited by:

    1. Chunmei Gan & Weijun Wang, 2015. "Research characteristics and status on social media in China: A bibliometric and co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 1167-1182, November.
    2. Chang-Tang Chiang & Tun-Chih Kou & Tian-Lih Koo, 2021. "A Systematic Literature Review of the IT-Based Supply Chain Management System: Towards a Sustainable Supply Chain Management Model," Sustainability, MDPI, vol. 13(5), pages 1-18, February.
    3. Charles Perez & Karina Sokolova & Vincent Dutot, 2022. "Uncovering the Strategies and Dynamics of Research Fields Using Network Science: Structural Evidence from a Decade of Privacy Research," The Review of Socionetwork Strategies, Springer, vol. 16(2), pages 573-597, October.
    4. Fritze, Martin P. & Urmetzer, Florian & Khan, Gohar F. & Sarstedt, Marko & Neely, Andy & Schäfers, Tobias, 2018. "From Goods to Services Consumption: A Social Network Analysis on Sharing Economy and Servitization Research," SMR - Journal of Service Management Research, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 2(3), pages 3-16.
    5. Bobby Swar & Gohar Feroz Khan, 2014. "Mapping ICT knowledge infrastructure in South Asia," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 117-137, April.
    6. Chaeyoung Lim & Noha Mostafa & Jaehyun Park, 2017. "Digital Omotenashi: Toward a Smart Tourism Design Systems," Sustainability, MDPI, vol. 9(12), pages 1-20, November.
    7. Francesco Paolo Appio & Antonella Martini & Silvia Massa & Stefania Testa, 2016. "Unveiling the intellectual origins of Social Media-based innovation: insights from a bibliometric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 355-388, July.

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