Reviewing the Literature on Social Media in Organizational Management: Mapping the Current Research Themes and Building a Conceptual Framework from a Multi-disciplinary Perspective

Abstract

The growing popularity of social media over the past decade has attracted substantial attention from researchers seeking to understand its implications for organizations, resulting in a significant and expanding body of literature. To navigate recent developments and identify future research opportunities, we review 828 relevant articles from leading journals across diverse disciplines, including operations management, information systems, marketing, finance and organizational strategy. This study employs a combination of quantitative and qualitative methods, specifically cocitation network analysis, citation analysis, and thematic analysis, to systematically examine the existing research. Through this approach, we identify six distinct research clusters and their associated thematic areas. Moreover, we map the dynamic evolution trend of each cluster. We also develop a conceptual framework that outlines the antecedents, pathways, and outcomes explored in social media studies. This framework synthesizes the major theoretical foundations underpinning the literature, offering valuable guidance for both academic research and managerial practice. Based on our thematic analysis and conceptual model, we propose three underexplored research directions to support the development of impactful research agendas and advance the field of social media research.

Publication DOI: https://doi.org/10.1109/TEM.2025.3638715
Divisions: College of Business and Social Sciences > Aston Business School > Operations & Information Management
Additional Information: Copyright © 2025 IEEE. All rights reserved, including rights for text and data mining and training of artificial intelligence and similar technologies. Personal use is permitted, but republication/redistribution requires IEEE permission. See https://www.ieee.org/publications/rights/index.html for more information.
Uncontrolled Keywords: Social networking (online),Artificial intelligence,Systematic literature review,Organizations,Entrepreneurship,Technological innovation,Pandemics,Network analyzers,Marketing management,Market research
Publication ISSN: 1558-0040
Last Modified: 12 Dec 2025 13:36
Date Deposited: 11 Dec 2025 16:41
Full Text Link:
Related URLs: https://ieeexpl ... ument/11283065/ (Publisher URL)
PURE Output Type: Article
Published Date: 2025-12-08
Published Online Date: 2025-12-08
Authors: Zhang, Miaomiao
Lee, Peter K.C. (ORCID Profile 0000-0001-5100-0316)
Cheng, T.C.E.
Yeung, Andy C.L.

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