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<p>This study aims to explore the networks and emerging topics related to female entrepreneurship in Asia by using advanced text-mining algorithms on comprehensive textual data. A dataset of 193 research publications on female entrepreneurship in Asia was collected from the Web of Science database, covering the period from 1994 to February 2024. Topic modeling technique, namely Latent Dirichlet Allocation (LDA), are employed to identify and examine the main themes in female entrepreneurship and their evolution over time. The main themes that were found in the majority of articles were “economic and cultural aspects of women’s entrepreneurship,” “the impact of the gender gap on entrepreneurs,” and “social capital and women’s entrepreneurship.” The findings of the study have substantial implications for governments, support organizations, and young female entrepreneurs in Asia. The study can provide valuable insights into the underlying networks and topics that can be used to develop targeted efforts, mentorship programs, and resource allocation strategies to support women-led enterprises.</p>

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Mapping research pattern and knowledge on female entrepreneurship in Asia: a text mining approaches to uncover networks and emerging themes

  • 期刊论文

  • 发表日期：

    2025年9月19日

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  • Rahisha,
  • Mohammed Jamshed,
  • Waseem Khan,
  • Aruna Dhamija

摘要

This study aims to explore the networks and emerging topics related to female entrepreneurship in Asia by using advanced text-mining algorithms on comprehensive textual data. A dataset of 193 research publications on female entrepreneurship in Asia was collected from the Web of Science database, covering the period from 1994 to February 2024. Topic modeling technique, namely Latent Dirichlet Allocation (LDA), are employed to identify and examine the main themes in female entrepreneurship and their evolution over time. The main themes that were found in the majority of articles were “economic and cultural aspects of women’s entrepreneurship,” “the impact of the gender gap on entrepreneurs,” and “social capital and women’s entrepreneurship.” The findings of the study have substantial implications for governments, support organizations, and young female entrepreneurs in Asia. The study can provide valuable insights into the underlying networks and topics that can be used to develop targeted efforts, mentorship programs, and resource allocation strategies to support women-led enterprises.