The impact of task characteristics on online group participation behavior: a study using information processing theory
Industrial Management & Data Systems
ISSN: 0263-5577
Article publication date: 3 August 2023
Issue publication date: 29 August 2023
Abstract
Purpose
In the digital age, enterprise social media (ESM) use is becoming more prevalent in the workplace. The “group” function is a very important part in the use of ESM. This paper explores how the characteristics of employees' task requirements affect their group participation behaviors on the ESM.
Design/methodology/approach
Based on information processing theory, the authors establish a two-stage research model to explore the impact of task characteristics on employees' online group participation behavior in the context of ESM. Data were collected using a survey of 341 Chinese employees.
Findings
The results indicate that (1) task interdependence was positively correlated with participation in small closed groups; (2) task complexity was positively correlated with participation in small groups, large closed groups and open professional groups and (3) task non-routineness was positively correlated with participation in small groups, large closed groups and open professional groups.
Originality/value
This study builds on the literature on task characteristics, information processing theory and employees' online group participation behavior, contributing to the research on ESM in the field of information systems and providing guidance for enterprise practice.
Keywords
Acknowledgements
This work was supported by the Major Project of National Social Science Fund of China (21&ZD119).
Since acceptance of this article, the following author has updated their affiliations: Yuan Sun's third affiliation is at the Key Research Institute of Humanities and Social Sciences at Universities - Modern Business Research Center of Zhejiang Gongshang University, Hangzhou, China.
Citation
Sun, Y., Gu, C., Zhou, X. and Shang, R.-A. (2023), "The impact of task characteristics on online group participation behavior: a study using information processing theory", Industrial Management & Data Systems, Vol. 123 No. 9, pp. 2269-2293. https://doi.org/10.1108/IMDS-10-2022-0636
Publisher
:Emerald Publishing Limited
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