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Collaborative knowledge sharing in global distributed teams: antecedents of innovation performance

Huosong Xia (School of Management, Wuhan Textile University, Wuhan, China)
Jingwen Li (School of Management, Wuhan Textile University, Wuhan, China and School of Management, Huazhong University of Science and Technology, Wuhan, China)
Juan Weng (School of Management, Wuhan Textile University, Wuhan, China)
Zuopeng (Justin) Zhang (Coggin College of Business, University of North Florida, Jacksonville, Florida, USA)
Yangmei Gao (School of Management, Wuhan Textile University, Wuhan, China)

Journal of Knowledge Management

ISSN: 1367-3270

Article publication date: 14 June 2021

Issue publication date: 7 December 2021

1083

Abstract

Purpose

Existing research on collaborative innovation mechanisms from the perspective of global operation is very limited. This paper aims to address the research gap by studying the factors influencing globally distributed teams’ innovation performance, especially how effective knowledge sharing between distributed teams promotes collaborative team innovation.

Design/methodology/approach

This research proposes a model to investigate how collaborative knowledge sharing affects global operations [team dispersion, task orientation, information and communication technology (ICT) usage] and innovation performance based on the data collected from 167 managers in 40 local Chinese IT and offshoring firms. Using the theory of Cognitive Diversity and Innovation Diffusion and Synergy, separate hierarchical regression analysis was used to test the proposed model.

Findings

The findings of this study demonstrate that effective collaborative knowledge sharing plays a crucial role in enhancing innovation performance in a global operation. Specifically, innovation capacity can be improved by task orientation, ICT usage and team dispersion.

Originality/value

This research study contributes to the development of global distributed operations and innovation among distributed teams in multinational corporations.

Keywords

Acknowledgements

This research has been supported by the National Natural Science Foundation of China (NSFC, 71871172: Model of Risk knowledge acquisition and Platform governance in FinTech based on deep learning; NSFC, 71571139: Outlier Analytics and Model of Outlier Knowledge Management in the context of Big Data). We deeply appreciate the suggestions from fellow members of Xia’s project team and Research Center of Enterprise Decision Support, Key Research Institute of Humanities and Social Sciences in Universities of Hubei Province (DSS20180204).

Citation

Xia, H., Li, J., Weng, J., Zhang, Z.(J). and Gao, Y. (2021), "Collaborative knowledge sharing in global distributed teams: antecedents of innovation performance", Journal of Knowledge Management, Vol. 25 No. 10, pp. 2523-2539. https://doi.org/10.1108/JKM-10-2020-0763

Publisher

:

Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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