Abstract
PurposeDecision-making biases play substantial roles in entrepreneurs' decisions and the fate of entrepreneurial enterprises, as well. Previous studies have assumed all entrepreneurs are homogeneous in their proneness to biases, therefore inadvertently creating a crucial research gap by ignoring the role of business experience in the genesis of biases. Furthermore, there is a lack of research on women entrepreneurs' decision-making biases. Thus, this paper's main objective is to explore two influential biases of overconfidence and over-optimism in novice and habitual women entrepreneurs.Design/methodology/approachThe data for this study were collected by conducting semi-structured interviews with 21 Iranian novice and habitual women entrepreneurs active in four high-tech sectors of biotech, nanotech, aerospace and advanced medicine. The gathered data were analyzed by thematic analysis.FindingsAccording to the findings, while habitual entrepreneurs are prone to all three types of overconfidence (overestimation, overplacement and overprecision) and over-optimism, novice entrepreneurs do not show any signs of overplacement or overprecision.Practical implicationsThere are certain valuable implications resulting from this study that could be of use for not only future researchers in the field of entrepreneurial decision-making and women entrepreneurship but also for women entrepreneurs running entrepreneurial enterprises, especially small businesses.Originality/valueThis paper offers certain novel contributions to the field of entrepreneurship by not only exploring biases in women entrepreneurs exclusively but also scrutinizing biases in novice (first-time) and habitual (experienced) entrepreneurs comparatively.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: Journal of Organizational Effectiveness: People and Performance
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.