JOURNAL ARTICLE

CHALLENGES AND COPING MECHANISMS OF SUBSISTENCE MUSLIM FEMALE ENTREPRENEURS IN DELHI'S SLUMS: AN IN-DEPTH EXPLORATION.

  • Published In: Journal of Developmental Entrepreneurship, 2024, v. 29, n. 2. P. 1 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: KHAN, SAMEEN; TOMAR, SARIKA 3 of 3

Abstract

Subsistence entrepreneurship plays a crucial role in India by providing livelihood opportunities to a significant portion of the population. The present study delves into the distinct challenges encountered by Muslim female entrepreneurs in the slums of New Delhi. Employing a narrative inquiry methodology that provides a platform for these women to share their stories, it offers an in-depth exploration of their entrepreneurial experiences. Through interviews and storytelling, participants articulate their challenges, experiences and coping strategies, enabling a comprehensive understanding of their entrepreneurial journeys. Thematic analysis of the collected narratives reveals recurring patterns, barriers and adaptive measures employed by the participants. The findings highlight challenges rooted in socio-cultural dynamics, political challenges and economic constraints. The study also sheds light on coping strategies, reflecting creativity and innovation. This research contributes to an enhanced understanding of the multifaceted constraints confronting Muslim female entrepreneurs in marginalized communities, providing insights to inform policies and interventions aimed at promoting their empowerment and socio-economic progress. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Developmental Entrepreneurship. 2024/06, Vol. 29, Issue 2, p1
  • Document Type:Article
  • Subject Area:Politics and Government
  • Publication Date:2024
  • ISSN:1084-9467
  • DOI:10.1142/S1084946724500134
  • Accession Number:178652385
  • 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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