Rational or emotional? Prohibitive voice of outsourced employees in a time trajectory perspective.
Published In: Asia Pacific Journal of Human Resources, 2023, v. 61, n. 3. P. 643 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Qin, Chuanyan; Wang, Pengcheng; Liu, Shanshi; Xu, Guangyi 3 of 3
Abstract
Does outsourced employees' risk behavior depend more on rationality or emotion in temporary interorganizational project‐based teams? Combining trust‐related research and a time trajectory perspective, this study re‐examines the relationship between trust and outsourced employees' prohibitive voice in interorganizational project‐based teams. Two‐wave survey data were collected from 286 outsourced employees and their supervisors across 52 interorganizational teams in China. Empirical results show that outsourced employees' prohibitive voice depends more on cognition‐based trust than on affect‐based trust. With project execution time increases, the promoting effect of affect‐based trust on prohibitive voice shows an increase, while the impact of cognition‐based trust demonstrated little variation. Moreover, outsourced employees' perceptions of leader‐member exchange (LMX) differentiation mediates the moderating effect of project execution time on the relationship between affect‐based trust and prohibitive voice. However, the mediated moderation effect is not significant for cognition‐based trust. Theoretical and practical implications for project‐based team management are discussed. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Asia Pacific Journal of Human Resources. 2023/07, Vol. 61, Issue 3, p643
- Document Type:Article
- Subject Area:Social Sciences and Humanities
- Publication Date:2023
- ISSN:1038-4111
- DOI:10.1111/1744-7941.12334
- Accession Number:165045633
- Copyright Statement:Copyright of Asia Pacific Journal of Human Resources is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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