EconPapers    
Economics at your fingertips  
 

Employee co-invention network dynamics and firm exploratory innovation: the moderation of employee co-invention network centralization and knowledge-employee network equilibrium

Guiyang Zhang ()
Additional contact information
Guiyang Zhang: Nanjing University of Science and Technology

Scientometrics, 2021, vol. 126, issue 9, No 20, 7836 pages

Abstract: Abstract Drawing on a dynamic approach, increasing research investigates network dynamics at the inter-firm level in recent years. However, little is known about intra-firm employee network dynamics and their consequences for firm exploratory innovation. This paper addresses the gap by focusing on employee co-invention network dynamics conceptualized as employee turnover and across-team movement. Based on the knowledge-based view and transactive memory system theory, this research elaborates on the dual mechanism of employee co-invention network dynamics and proposes an inverted U-shaped relationship between employee co-invention network dynamics and firm exploratory innovation. Furthermore, employees and their innovation are structurally embedded in the intra-firm networks. This paper investigates the moderation effect of intra-firm network structures. First, employee co-invention network centralization, indicating a core-periphery co-invention structure among employees, may negatively moderate the inverted U-shaped relationship. Second, knowledge-employee network equilibrium, indicating an evenly- and broadly- distributed knowledge structure among employees, may positively moderate the inverted U-shaped relationship. Based on patent data of 76 high-tech firms over 31 years from 1990 to 2020, this paper develops novel quantitative measures and conducts panel regression analysis. Results support all the above predictions.

Keywords: Employee co-invention network dynamics; Firm exploratory innovation; Employee co-invention network centralization; Knowledge-employee network equilibrium (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-021-04089-5 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:scient:v:126:y:2021:i:9:d:10.1007_s11192-021-04089-5

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1007/s11192-021-04089-5

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:scient:v:126:y:2021:i:9:d:10.1007_s11192-021-04089-5