EconPapers    
Economics at your fingertips  
 

Modeling knowledge sharing and team performance in technology industry: the main and moderating effects of happiness

Min-Ling Liu (), Meng-Wen Hsieh, Chan Hsiao, Chieh-Peng Lin and Chyan Yang
Additional contact information
Min-Ling Liu: National Chiao Tung University
Meng-Wen Hsieh: National Chiao Tung University
Chan Hsiao: National Chiao Tung University
Chieh-Peng Lin: National Chiao Tung University
Chyan Yang: National Chiao Tung University

Review of Managerial Science, 2020, vol. 14, issue 3, No 5, 587-610

Abstract: Abstract This study complements previous literature by bridging activity theory and the broaden-and-build theory to examine how happiness (as an intrinsic driver) and knowledge sharing (as an extrinsic driver) influence team performance. The contributions of this study are twofolds. First, this study fills a research gap concerning what mediates the simultaneous influences of happiness and knowledge sharing on team performance. Second, both main and moderating effects of happiness in the development of team performance are explored in this study, which is rarely discussed in the literature. By surveying 116 teams from high-tech firms in Taiwan, this study opens a black box regarding the mediation of team proactivity and team proficiency and the moderation of happiness in the development of team performance. Lastly, managerial implications and limitations based on the empirical findings are provided.

Keywords: Happiness; Knowledge sharing; Team proactivity; Team proficiency; Team performance; 91C99 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://link.springer.com/10.1007/s11846-018-0301-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:rvmgts:v:14:y:2020:i:3:d:10.1007_s11846-018-0301-4

Ordering information: This journal article can be ordered from
http://www.springer.com/business/journal/11846

DOI: 10.1007/s11846-018-0301-4

Access Statistics for this article

Review of Managerial Science is currently edited by R. Ewert and W. Kürsten

More articles in Review of Managerial Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:rvmgts:v:14:y:2020:i:3:d:10.1007_s11846-018-0301-4