Bibliometric Analysis of Social Media as a Platform for Knowledge Management

Bibliometric Analysis of Social Media as a Platform for Knowledge Management

Saleha Noor, Yi Guo, Syed Hamad Hassan Shah, M. Saqib Nawaz, Atif Saleem Butt
Copyright: © 2020 |Pages: 19
DOI: 10.4018/IJKM.2020070103
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The purpose of this study is to conduct a bibliometric analysis to examine the most influential journals, institutions, and countries in social media (SM) publications related to knowledge management (KM). Moreover, various research themes in SM KM publications are also explored. VOSviewer was employed to process 234 SM KM publications retrieved from Web of Science (WoS) in the time period 2009-2019. Different methodologies were used according to the nature of bibliometric analysis and explained in each section. Journal of Knowledge Management was the most influential journal in SM KM publications. USA and England ranked first and second respectively, while the Tampere University of Technology was the most productive institute in SM KM research. Four emerged themes indicated an explicit contribution of SM users in KM through big data, knowledge sharing, innovation, Enterprise 2.0, and social capital. This is the first bibliometric study that explores the overall contribution of SM publications in the KM field.
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1. Introduction

With the evolution and easy access to the Internet, the number of social network users is rising significantly. Social media has improved online communication and nearly 3.2 billion people use it1. Through social media (SM), users can interact, communicate, and exchange information with each other through these websites and applications. Moreover, social media provides new source of information (actually a goldmine of information) and it has become “what is-happening-right-now” tools that enable interested parties to follow individual users’ thoughts and commentary on real-time events, participate in activities and live events, follow breaking news and keep up with friends and families (Mustafa et al., 2017). It is changing the public discourse and setting trends and agendas in topics that range from the environment and politics to technology and the entertainment industry. Social media users are being followed or follow other users for knowledge seeking, knowledge acquisition and knowledge dissemination (Assaad & Gomez, 2011; Wang & Wang, 2018) and this falls under the definition of Knowledge Management (KM).

The knowledge discovery in SM has been focused by different researchers in different domains. Prior studies explored significant role of SM in sentiment analysis (Ostrowski, 2010), message clustering (Mehmood, Maurer, & Afzal, 2013), political findings (Weeks, Ardèvol-Abreu, & Gil de Zúñiga, 2015), health care awareness (Roselina, Rahmawati, Mardiati, & Lusia, 2018) and emergency risk communication (Yuan & Liu, 2018). Moreover these publications are used in academic writing and they are heavily cited too and top ten most cited studies are mentioned in the Appendix. According to these studies findings, SM role has been established with knowledge management (KM) significantly, therefore it has become essential to explore specific research themes of SM publications related to KM. Therefore we conducted a bibliometric analysis of 234 SM publications (see methodology) which have substantial link with KM to find out explicit SM KM research themes in this study.

Besides, there are two other motivations to conduct this bibliometric study. First, Kapoor et al. (2018) conducted a bibliometric study of 12000 SM publications between 1997-2017 using VOSviewer. They found seven major themes through author co-citation analysis and five themes through text analysis. This study also indicated that almost all publications related to knowledge sharing during natural disasters and critical events focus only on SM data (Kapoor et al., 2018, p. 24). This sparked our interest to determine the sole contribution of SM publications in KM research academia to explore its significant and vital role in different sectors of life. Second, previous SM studies also conducted a bibliometric analysis of specific research areas. For example, bibliometric of event detection (Chen et al., 2019), social media trends in psychology (Zyoud et al., 2018) and the role of SM in innovation research (Appio et al., 2016). However, there is scarcest SM bibliometric study that provides a complete and comprehensive overview related KM.

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