EconPapers    
Economics at your fingertips  
 

The impact of political ties on firm innovativeness: Testing a mediation and moderation model

Zhiqiang Wang, Xiaoli Chen, Shanshan Zhang, Ying Yin and Xiande Zhao

Journal of Business Research, 2022, vol. 144, issue C, 523-534

Abstract: This study utilizes network exploitation and exploration theory to distinguish the exploitative and exploratory mechanisms (government support and boundary-spanning learning, respectively) that convert political ties into firm innovativeness. It also examines the moderating roles market uncertainty plays in how political ties influence firm innovativeness. An empirical analysis of 262 manufacturers in China indicates that both government support and boundary-spanning learning mediate the link between political ties and firm innovativeness. Market uncertainty negatively moderates the impact of political ties on boundary-spanning learning but does not significantly moderate their impact on government support. Moreover, market uncertainty moderates the impact of government support on firm innovativeness negatively but moderates the impacts of boundary-spanning learning on firm innovativeness positively. This study theorizes two mediating factors for how firms exploit and explore their political ties to increase their innovativeness and enriches the knowledge of how market uncertainty affects the relationship between political ties and innovation.

Keywords: Political ties; Firm innovativeness; Government support; Boundary-spanning learning; Market uncertainty (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0148296322001503
Full text for ScienceDirect subscribers only

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:eee:jbrese:v:144:y:2022:i:c:p:523-534

DOI: 10.1016/j.jbusres.2022.02.031

Access Statistics for this article

Journal of Business Research is currently edited by A. G. Woodside

More articles in Journal of Business Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:jbrese:v:144:y:2022:i:c:p:523-534