JOURNAL ARTICLE

EMPOWERING RURAL LEBANESE FEMALE ENTREPRENEURS: A RESOURCE-BASED PERSPECTIVE.

  • Published In: Journal of Developmental Entrepreneurship, 2024, v. 29, n. 1. P. 1 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: KHABBAZ, LARA; KURAN, OMAYA 3 of 3

Abstract

This paper examines how rural female entrepreneurs in Lebanon navigate challenges and opportunities amidst economic crises. It aims to understand how they leverage resources to overcome barriers and enhance their entrepreneurial potential, offering insights for fostering sustainable entrepreneurship in crisis-affected regions. This study employs Integrative Qualitative Methods, combining participatory action research (PAR) and narrative inquiry, to explore the motivations, experiences and aspirations of rural female entrepreneurs in Lebanon. Amidst severe economic crises, 28 female entrepreneurs participated in a three-year program supporting their businesses. The findings indicate that rural female entrepreneurs in Lebanon are primarily motivated by family sustainability, social effect and personal fulfillment. They demonstrate significant adaptability to market changes and are able to leverage support networks to manage resources effectively. Strategic resource allocation, communication and collaboration are key to their success. Overall, these findings highlight the resilience and strategic acumen of rural female entrepreneurs, emphasizing the importance of ongoing support for economic growth and community development. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Developmental Entrepreneurship. 2024/03, Vol. 29, Issue 1, p1
  • Document Type:Article
  • Subject Area:Politics and Government
  • Publication Date:2024
  • ISSN:1084-9467
  • DOI:10.1142/S108494672450002X
  • Accession Number:177298002
  • Copyright Statement:Copyright of Journal of Developmental Entrepreneurship is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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