Locus of Control Risk Perception and New Venture Decisions --Based on Logistics Regression Model
- DOI
- 10.2991/978-94-6463-056-5_28How to use a DOI?
- Keywords
- component; Entrepreneurship; Risk-taking; Personality trait; Entrepreneurial behavior
- Abstract
Past studies have discovered that personality traits could influence the entrepreneurs’ new venture decisions. However, previous literature only mentioned the influence of risk propensity on the new venture choice. Our study introduces the locus of control to the framework of Forlani and Mullins [1] to study the relationships between locus of control, risk perception, and new venture decisions related to entrepreneurship. We run a regression to test the relationship between the locus of control, risk perception, and new venture decision. The result suggests that the individuals with more internal control would perceive less risk and prefer the venture with a high level of hazards and a low level of variability. In addition, the ones that perceive more risk would choose the venture choice with a high level of variability and low level of hazards. The study extends the framework of Forlani and Mullins [1] by providing another factor when investors try to choose entrepreneurs whose venture choice would match the investors’ goal.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Ming Chen PY - 2022 DA - 2022/12/29 TI - Locus of Control Risk Perception and New Venture Decisions --Based on Logistics Regression Model BT - Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022) PB - Atlantis Press SP - 198 EP - 204 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-056-5_28 DO - 10.2991/978-94-6463-056-5_28 ID - Chen2022 ER -