The heuristics applied by tech entrepreneurs in the Middle East during opportunity evaluation

Abstract

Purpose

This study aims to explore the heuristics applied by tech entrepreneurs in the Middle East during the opportunity evaluation process.

Design/methodology/approach

A multiple case-based methodology was applied, which consisted of semi-structured interviews with entrepreneurial experts from different cities in the Middle East. Qualitative data analysis was then performed with inductive thematic coding using the Eisenhardt method.

Findings

The results suggest that entrepreneurs mostly use six heuristics to evaluate opportunities quickly. Three of them are related to the opportunity as an abstract idea, and three are connected with the person (s) involved in the opportunity. In addition, entrepreneurs in the Middle East were more interested in the personal characteristics of the opportunity presenter than in the opportunity itself.

Research limitations/implications

Identifying the heuristics applied by experts may neglect the perspective of the community of entrepreneurs as a whole. Hence, future research should target a wider segment of entrepreneurs. Furthermore, the effect of applying such heuristics on the strategic growth of startups remains an open question.

Practical implications

The identified heuristics are aligned with the hands-on approach of entrepreneurship and can be applied as a decision-making technique for aspiring entrepreneurs who seek to succeed in this region.

Originality/value

This study explores the under-examined topic of heuristics in opportunity evaluation within the regional context of the Middle East, which has also been scarcely investigated. It sheds light on the importance of cultural factors in identifying the cognitive shortcuts used in a business context.

Citation

Hjeij, M. (2023), "The heuristics applied by tech entrepreneurs in the Middle East during opportunity evaluation", Journal of Entrepreneurship in Emerging Economies, Vol. 15 No. 6, pp. 1354-1372. https://doi.org/10.1108/JEEE-07-2021-0294