EconPapers    
Economics at your fingertips  
 

Overconfidence and entrepreneurship: A meta-analysis of different types of overconfidence in the entrepreneurial process

Priscilla S. Kraft, Christina Günther, Nadine H. Kammerlander and Jan Lampe

Journal of Business Venturing, 2022, vol. 37, issue 4

Abstract: While research on overconfidence and entrepreneurship has grown rapidly in recent decades, extant studies provide conflicting theoretical predictions and empirical results about the role of overconfidence for entrepreneurship. To help resolve the controversy in the literature, we draw on information-processing theory to propose a theoretical framework that disentangles the influence of three types of overconfidence (i.e., overprecision, overestimation, and overplacement) in three major phases of the entrepreneurial process. The results of meta-analytical structural equation modeling (MASEM) based on 62 primary studies reveal varying effects of the three types of overconfidence in the entrepreneurial process. We discuss the implications of these findings and identify future research opportunities to advance this stream of research.

Keywords: Overconfidence; Entrepreneurship; Information-processing theory; Entrepreneurial process; Meta-analysis (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0883902622000192
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:jbvent:v:37:y:2022:i:4:s0883902622000192

DOI: 10.1016/j.jbusvent.2022.106207

Access Statistics for this article

Journal of Business Venturing is currently edited by S. Venkataraman

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

 
Page updated 2025-03-19
Handle: RePEc:eee:jbvent:v:37:y:2022:i:4:s0883902622000192