Design and Elaboration of a Predictive Factors Model for Entrepreneurial Opportunities in International Companies Using a Mixed Methods Approach

Ali  Farahani; Younos Vakil Alroaia; Farideh Haghshenas Kashani; Ali  Faez

doi:10.61838/kman.ijimob.4.3.22

Authors

Ali Farahani PhD Student in Business Management, Semnan Branch, Islamic Azad University, Semnan, Iran Author https://orcid.org/0009-0006-2392-4523
Younos Vakil Alroaia Associate Prof. and Chairman, Entrepreneurship and Commercialization Research Center, Department of Management, Semnan Branch, Islamic Azad University, Semnan, Iran Corresponding Author https://orcid.org/0000-0003-3249-6509
Farideh Haghshenas Kashani Assistant Professor, Department of Business Management, Tehran Central Branch, Islamic Azad University, Tehran, Iran Author https://orcid.org/0000-0001-7428-960X
Ali Faez Assistant Professor, Entrepreneurship and Commercialization Research Center, Department of Management, Semnan Branch, Islamic Azad University, Semnan, Iran Author https://orcid.org/0000-0002-8105-2851

DOI:

https://doi.org/10.61838/kman.ijimob.4.3.22

Keywords:

Predictive Factors, Entrepreneurial Opportunities, Grounded Theory, Mixed Methods Approach

Abstract

Objective: The present study aims to design a model of predictive factors for entrepreneurial opportunities in international companies.

Methodology: This study employs a mixed methods approach (qualitative-quantitative), with data collection conducted in both qualitative and quantitative sections. In the qualitative section, data were gathered through the study of documented sources and semi-structured interviews with 17 managers and experts in the field of entrepreneurship. These individuals were selected using purposive and snowball sampling and data were analyzed using the software MAXQDA18 through the grounded theory method. In the quantitative section, data from 148 senior and mid-level managers of international companies based in Tehran were collected using a researcher-made questionnaire and convenience sampling, and then tested using structural equation modeling.

Findings: The results indicated that causal conditions (unexpected events, industry-based changes, market structure changes, method-based deficiencies, value and cognition-based changes, new knowledge, and demographic characteristics) impact the phenomenon of entrepreneurial opportunities. The strategies included organizational strategies, market-related strategies, business strategies, and effective performance management. Contextual conditions (capital, corporate factors, individual characteristics, and social factors) and intervening conditions (environmental factors, personality traits, driving forces, economic factors, and errors) also influenced the strategies, which in turn had a positive impact on the outcomes.

Conclusion: The results suggest that based on the views and opinions of senior and mid-level managers of international companies regarding the indigenous model of predictive factors for entrepreneurial opportunities, planners should leverage the effective factors in this model to advance their objectives.