Evidence map›Paper›PMID 40503030›Full record

SynthesisF1000Research2025

Mapping the landscape of women entrepreneurs in micro and small enterprises: Trends, themes, and insights through systematic review and text mining.

Thanh Binh Nguyen, Mohan Kumar, Deepak Kumar Sahoo, Neha Nain, Mohit Yadav, Vartika Dadhich

Abstract readSystematic Review
In one paragraph

Synthesis in F1000Research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Thanh Binh NguyenFaculty of Business Administration, Banking Academy, Hanoi, Vietnam.ORCID https://orcid.org/0009-0009-6272-7065
Mohan KumarFaculty of Commerce & Management, SGT University, Gurugram, Haryana, India.ORCID https://orcid.org/0000-0002-5171-0892
Deepak Kumar SahooInstitute of Management & Information Science, Bhubaneswar, India.
Neha NainThe Technological Institute of Textile and Sciences, Bhiwani, India.
Mohit YadavOP Jindal Global University, Sonipat, Haryana, India.ORCID https://orcid.org/0000-0002-9341-2527
Vartika DadhichT.A. Pai Management Institute, Bengaluru, Manipal Academy of Higher Education, Manipal, Karnataka, India.ORCID https://orcid.org/0009-0001-9129-0271

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study explores the pivotal role of women entrepreneurs in fostering economic growth and social transformation, focusing on micro and small enterprises (MSEs). Despite the significant rise in women entrepreneurship, challenges persist, including gender-based barriers, limited access to capital, and regional disparities. Understanding these dynamics is essential for formulating policies that support and empower women entrepreneurs. Method: The present study employed a systematic literature review (SLR) and Latent Dirichlet Allocation (LDA), an advanced topic modeling technique, to identify prevalent themes within the literature. Data was extracted from Scopus-indexed journals (2000-2024), systematically filtered, and analyzed to uncover key patterns in women entrepreneurship research. Results: The analysis identifies four central themes: (1) Women in Entrepreneurship and Gender Roles, (2) Small Business and Women Enterprises, (3) Social Impact of Women Entrepreneurs, and (4) Challenges Faced by Female Entrepreneurs. The findings highlight the transformative potential of digital platforms in enhancing business opportunities for women and addressing traditional constraints, such as mobility and market access. Conclusion: This study highlights the need for targeted interventions to enhance digital literacy, bridge socio-cultural disparities, and establishing inclusive policies that foster a supportive entrepreneurial ecosystem. By synthesizing existing literature, this research provides actionable recommendations for policymakers, financial institutions, and stakeholders to strengthen women-led enterprises and drive gender-equitable growth.

Indexed as

Data MiningEntrepreneurshipSmall BusinessFemaleGender RoleHumansEconomic DevelopmentLatent Dirichlet AllocationMicro and Small EnterprisesSystematic Literature ReviewWomen Entrepreneurs

Identifiers

PMID40503030
PMCPMC12153045

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.