Advanced search

Exploring Big Five personality traits and gender as predictors of entrepreneurs’ cognitive adaptability

Sami Ullah Bajwa (Department of Management, University of Management and Technology, Lahore, Pakistan)
Khuram Shahzad (Department of Management, University of Management and Technology, Lahore, Pakistan)
Haris Aslam (Department of Operations and Supply Chain Management, University of Management and Technology, Lahore, Pakistan)

Journal of Modelling in Management

ISSN: 1746-5664

Publication date: 13 February 2017

Abstract

Purpose

The purpose of this study was to explore the predictive role of personality and gender in cognitive adaptability of entrepreneurs. By using the theories of personality development, social learning, situated cognition and meta-cognition, a logical relationship between personality traits, gender difference and entrepreneurs’ cognitive adaptability was established.

Design/methodology/approach

Quantitative strategy and cross-sectional survey method was then deployed to empirically investigate the purposed relationships between variables of interest. Randomly selected 443 working entrepreneurs responded to the survey.

Findings

Factor analyzed structural equation modeling estimated cognitive adaptability as a second-order factor, with extroversion and neuroticism having a significant impact on cognitive adaptability. Multi-group moderation revealed a significant difference among females and males against the same two personality traits.

Originality/value

This study in its nature is the first attempt to link Big Five personality traits with cognitive adaptability of entrepreneurs.

Keywords

Citation

Bajwa, S.U., Shahzad, K. and Aslam, H. (2017), "Exploring Big Five personality traits and gender as predictors of entrepreneurs’ cognitive adaptability", Journal of Modelling in Management, Vol. 12 No. 1, pp. 143-161. https://doi.org/10.1108/JM2-04-2014-0026

Download as .RIS

Publisher

:

Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited

To read the full version of this content please select one of the options below

You may be able to access this content by logging in via Shibboleth, Open Athens or with your Emerald account.
To rent this content from Deepdyve, please click the button.
Rent from Deepdyve
If you think you should have access to this content, click the button to contact our support team.
Contact us
Manage cookies

We’re listening — tell us what you think

Join us on our journey