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How to Select Employees to Participate in Interactive Innovation: Analysis of the Relationship Between Personality, Social Networks and Innovation Behavior by Xiaoyan Jiang; Jie Lin; Lixin Zhou; Chao Wang is a Decision Sciences article available to read on EtoBox.

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## 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 significan

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Author

Xiaoyan Jiang; Jie Lin; Lixin Zhou; Chao Wang

Publisher

Emerald

Published

2022

Language

EN

Field

Decision Sciences (Social Sciences)