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Enterprise Social Media Use and Employee Creativity: Moderating Role of Innovative Culture

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Received 06 May 2023, Accepted 30 Nov 2023, Published online: 14 Dec 2023
 

Abstract

As an emerging collaboration platform based on web 2.0 technologies, enterprise social media can provide opportunities and challenges for information acquisition and creativity development. However, existing research on the ways in which enterprise social media use affects employee creativity from both internal and external team perspectives is rather limited. Using communication visibility theory (CVR), this paper proposes a research model for investigating the relationship between enterprise social media (ESM) usage and employee creativity. Drawing on an analysis of 218 employees’ data, this study found that ESM, when used for both work and social purposes, has a positive effect on internal information exchange within teams and external knowledge acquisition across teams, which further contributes to employee creativity. Innovative culture can weaken the relationship between work-related ESM usage and internal team information exchange, and strengthen the relationship between social-related ESM usage and internal team information exchange. The findings suggest means of using enterprise social media for specific purposes to increase creativity and innovation in organizations.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by Shandong Provincial Key R&D Plan (Soft Science) under Project No: 2023RZB02021 and the Nature Science Planning Research Project of Shandong Province under Project No:ZR2022QG046.

Notes on contributors

Xin Zhang

Xin Zhang is a Professor for Information Systems at the University of Shandong University of Finance and Economics, Jinan, China. His research focuses on information systems, and electronic markets. He has published in Information and Management, Internet Research, Journal of Knowledge Management, Behavior & Information Technology, and others.

Liang Ma

Liang Ma is a lecturer for Information Systems at the University of Shandong University of Finance and Economics, Jinan, China. His research focuses on social media, information systems, and shared economy. He has published in Information and Management, Journal of Knowledge Management, Internet Research, Information Technology & People, and others.

Feifei Hao

Feifei Hao is a lecturer in College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine. Her research focused on digital healthcare, enterprise social media and online healthcare community. She has published in Behavior & Information Technology, Total Quality Management & Business Excellence, Frontiers in Public Health, and others.

Gaoshan Wang

Gaoshan Wang is a professor for Information Systems at the University of Shandong University of Finance and Economics, Jinan, China. His research focuses on information systems. He has published in Internet Research, Journal of Enterprise Information Management, and others.

Ge Zhang

Ge Zhang is a professor for Information Systems at the University of Shandong University of Finance and Economics, Jinan, China. His research focuses on information systems and shared economy. He has published in Internet Research, Online Information Review, and others.

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