How to select employees to participate in interactive innovation: analysis of the relationship between personality, social networks and innovation behavior
ISSN: 0368-492X
Article publication date: 20 July 2022
Issue publication date: 1 November 2023
Abstract
Purpose
Employees play an essential role in interactive innovation activities in Open Innovation Communities (OICs). Nevertheless, the factors influencing employees' innovation behavior in OICs have not been studied in depth. This study selects personality traits and social network characteristics to explain why and how these two factors affect employees' innovation behavior in OICs.
Design/methodology/approach
Three regression models were constructed to test the relationship between personality traits, social network characteristics, and interactive innovation behaviors. The authors examined how employees' personality traits (Big Five personality traits) influence employees' innovative behavior (initiating and supporting innovation) directly in OICs and explored whether social network characteristics (social group) mediate the relationship between employees' personality traits and employees' innovation behavior.
Findings
Using empirical data on 162 employees from Salesforce's IdeaExchange, the authors found that extraversion and openness to experience have significant positive effects on employees' interactive innovation behaviors, while conscientiousness has a significant negative effect on employees' interactive innovation behaviors in OICs. Furthermore, the mediation effect test results indicated that social network characteristics have a mediating effect on the relationship between extraversion and innovative behavior, and between openness and innovative behavior.
Originality/value
This study analyzes how personality traits influence innovation behavior in an open innovation environment, thus enriching research related to the factors influencing interactive innovation behavior. Meanwhile, the study integrates personality, social network, and innovative behavior research streams and clearly explains the relationship between the three variables. The research findings assist firms in selecting suitable employees to participate in interactive innovation behaviors in OICs.
Keywords
Acknowledgements
This work is supported by Shanghai “Science and Technology Innovation Action Plan” Soft Science Research Project (22692108300) and the National Natural Science Foundation of China (71672128).
Citation
Jiang, X., Lin, J., Zhou, L. and Wang, C. (2023), "How to select employees to participate in interactive innovation: analysis of the relationship between personality, social networks and innovation behavior", Kybernetes, Vol. 52 No. 10, pp. 4760-4782. https://doi.org/10.1108/K-09-2021-0884
Publisher
:Emerald Publishing Limited
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