Contextualization and conceptualization of the determinants of self-initiated expatriates’ international opportunity recognition in an informal economy context

This study introduces an updated conceptual model that extends the contextual literature on self-initiated expatriates (SIEs) into the opportunity recognition framework. Integrating individual and contextual factors, this model examines opportunity recognition by SIEs in informal economies, an under-researched area. The current global migration context, characterized by economic opportunities, geopolitical conflicts, and environmental changes, is leading to significant demographic and labor transformations. These changes are having a substantial impact on international entrepreneurship. The new model extends experiential learning and self-construal theories, incorporating work experience in informal economies, cultural intelligence, individualism, and risk aversion. This model illustrates how SIEs leverage their diaspora connections and advanced cross-cultural competencies to navigate and utilize the entrepreneurial ecosystem effectively. Additionally, the study provides new and testable research propositions. This approach offers a comprehensive understanding of how SIEs recognize and pursue opportunities in informal economies, highlighting the intricate interplay between individual attributes and contextual influences.

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Publication Details

Journal
Journal of Comparative International Management
Published
2025-07-25
DOI
https://doi.org/10.55482/jcim.2025.34499
Primary Topic
International Student and Expatriate Challenges
Type
article
Field-Weighted Citation Impact
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article

Contextualization and conceptualization of the determinants of self-initiated expatriates’ international opportunity recognition in an informal economy context

Jamal T. Maalouf, Richard A. Posthuma, Jase R. Ramsey, Amine Abi Aad
Journal of Comparative International Management
International Student and Expatriate Challenges
article

Contextualization and conceptualization of the determinants of self-initiated expatriates’ international opportunity recognition in an informal economy context

Jamal T. Maalouf, Richard A. Posthuma, Jase R. Ramsey, Amine Abi Aad
article en

Abstract

This study introduces an updated conceptual model that extends the contextual literature on self-initiated expatriates (SIEs) into the opportunity recognition framework. Integrating individual and contextual factors, this model examines opportunity recognition by SIEs in informal economies, an under-researched area. The current global migration context, characterized by economic opportunities, geopolitical conflicts, and environmental changes, is leading to significant demographic and labor transformations. These changes are having a substantial impact on international entrepreneurship. The new model extends experiential learning and self-construal theories, incorporating work experience in informal economies, cultural intelligence, individualism, and risk aversion. This model illustrates how SIEs leverage their diaspora connections and advanced cross-cultural competencies to navigate and utilize the entrepreneurial ecosystem effectively. Additionally, the study provides new and testable research propositions. This approach offers a comprehensive understanding of how SIEs recognize and pursue opportunities in informal economies, highlighting the intricate interplay between individual attributes and contextual influences.

Journal of Comparative International Management
The University of Texas at El Paso (US), American University of Sharjah (AE), Florida Gulf Coast University (US), American University of Science and Technology (LB), American University of Beirut (LB)
Openalex Percentile: Top 61%
International Student and Expatriate Challenges
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Contextualization and conceptualization of the determinants of self-initiated expatriates’ international opportunity recognition in an informal economy context — Jamal T. Maalouf, Richard A. Posthuma, et al. · Journal of Comparative International Management (2025) | TGRS Research Map | TGRS