AI-Driven Personal Branding for Female Entrepreneurs: The Indonesian Hijabi Startup Ecosystem
Abstract
1. Introduction
2. Literature Review
2.1. Theoretical Foundations of Personal Branding
2.2. AI Technologies in Brand Development
2.3. Female Entrepreneurship and Cultural Identity
2.4. Indonesian Startup Ecosystem
2.5. Cultural Sensitivity in AI Development
3. Methodology
3.1. Quantitative Data Collection
3.2. Qualitative Data Collection
3.3. AI Algorithm Development
3.4. Data Analysis Framework
- Multivariate regression analysis to control for confounding variables, including age, education level, industry sector, and geographic location;
- Structural equation modeling to test the relationships between Halal Personal Branding Framework components and business outcomes;
- Machine learning cluster analysis to identify distinct entrepreneurial branding archetypes within the hijabi entrepreneur population;
- Time-series analysis to track longitudinal performance trends and seasonal variations in branding effectiveness.
3.5. Ethical Considerations
4. Results and Analysis
4.1. Demographic Profile of Indonesian Hijabi Entrepreneurs
4.2. AI Usage Patterns and Digital Branding Strategies
4.3. Visual Branding and Hijab Representation
4.4. AI-Driven Content Optimization Strategies
4.5. Market Response and Audience Engagement
4.6. Financial Performance and Funding Success
4.7. Cultural Challenges and Adaptation Strategies
4.8. Technology Integration and Innovation
5. Discussion
5.1. The Halal Personal Branding Framework
5.2. AI Technology Implications for Religious Entrepreneurs
5.3. Entrepreneurship Theory Extensions
5.4. Cultural Identity and Digital Economy Participation
5.5. Policy and Industry Implications
6. Conclusions
Limitations and Future Research
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Conflicts of Interest
References
- Benjamin, R. (2020). Race after technology: Abolitionist tools for the New Jim Code. Polity. [Google Scholar]
- Beverland, M. B., & Farrelly, F. J. (2010). The quest for authenticity in consumption: Consumers’ Purposive choice of authentic cues to shape experienced outcomes. Journal of Consumer Research, 36(5), 838–856. [Google Scholar] [CrossRef]
- Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. [Google Scholar] [CrossRef]
- Droogsma, R. A. (2007). Redefining hijab: American muslim women’s standpoints on veiling. Journal of Applied Communication Research, 35(3), 294–319. [Google Scholar] [CrossRef]
- Essers, C., & Benschop, Y. (2007). Enterprising identities: Female entrepreneurs of Moroccan or Turkish origin in The Netherlands. Organization Studies, 28(1), 49–69. [Google Scholar] [CrossRef]
- Gershon, I. (2017). Down and out in the new economy: How people find (or don’t find) work today. The University of Chicago Press. [Google Scholar]
- Holt, D. B. (2002). Why do brands cause trouble? A dialectical theory of consumer culture and branding. Journal of Consumer Research, 29(1), 70–90. [Google Scholar] [CrossRef]
- Khedher, M. (2014). Personal branding phenomenon. International Journal of Information, 4(2), 20–40. [Google Scholar]
- Kshetri, N., Dwivedi, Y. K., Davenport, T. H., & Panteli, N. (2024). Generative artificial intelligence in marketing: Applications, opportunities, challenges, and research agenda. International Journal of Information Management, 75, 102716. [Google Scholar] [CrossRef]
- Kukutai, T., & Taylor, J. (2016). Indigenous data sovereignty: Toward an agenda. ANU Press. [Google Scholar]
- Kumar, V., Rajan, B., Venkatesan, R., & Lecinski, J. (2019). Understanding the role of artificial intelligence in personalized engagement marketing. California Management Review, 61(4), 135–155. [Google Scholar] [CrossRef]
- Labrecque, L. I., Markos, E., & Milne, G. R. (2011). Online personal branding: Processes, challenges, and implications. Journal of Interactive Marketing, 25(1), 37–50. [Google Scholar] [CrossRef]
- Lubis, A. S., Wijaya, C., & Sakapurnama, E. (2023). Analysis of entrepreneurial ecosystem factors on productive entrepreneurship of digital start-ups in Indonesia. International Journal of Business Ecosystem & Strategy (2687–2293), 5(3), 11–21. [Google Scholar] [CrossRef]
- Marlow, S., & Patton, D. (2005). All Credit to Men? Entrepreneurship, Finance, and Gender. Entrepreneurship Theory and Practice, 29(6), 717–735. [Google Scholar] [CrossRef]
- Munir, B. (2025). Islamophobic artificial intelligence in the USA: A critical analysis of religious bias in datasets. The Law Library Journal, 1–38. [Google Scholar] [CrossRef]
- Noble, S. U. (2018). Algorithms of oppression: How search engines reinforce racism. NYU Press. [Google Scholar]
- Peters, T. (1997). The brand called you. Available online: https://www.fastcompany.com/28905/brand-called-you (accessed on 4 July 2024).
- Putri, V. C. C., & Sonni, A. F. (2023). Ketika cadar jadi alat persuasi: Strategi beauty influencer di era digital. Unhas Press. [Google Scholar]
- Setyaningrum, R. P., Norisanti, N., Fahlevi, M., Aljuaid, M., & Grabowska, S. (2023). Women and entrepreneurship for economic growth in Indonesia. Frontiers in Psychology, 13, 975709. [Google Scholar] [CrossRef] [PubMed]
- Statistics Indonesia. (2023). Indonesia population projection 2020–2050 result of population census 2020. BPS Publications. [Google Scholar]
- Sugihartati, R. (2023). UMKM 2023: Kendala Memasuki pasar digital. Media Indonesia. [Google Scholar]
- Sujatna, Y., & Maryama, S. (2021). Entrepreneurship in a gender perspective in Indonesia sub-urban. IJEBD (International Journal of Entrepreneurship and Business Development), 4(1), 66–71. [Google Scholar] [CrossRef]
- Theresia, S., Sihombing, S. O., & Antonio, F. (2025). From effectuation to empowerment: Unveiling the impact of women entrepreneurs on small and medium enterprises’ performance—Evidence from Indonesia. Administrative Sciences, 15(6), 198. [Google Scholar] [CrossRef]
- Winfield, A. F. T., & Jirotka, M. (2018). Ethical governance is essential to building trust in robotics and artificial intelligence systems. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 376(2133). [Google Scholar] [CrossRef] [PubMed Central]
Characteristic | Category | Frequency | Percentage |
---|---|---|---|
Age | 20–25 years | 23 | 15.3% |
25–30 years | 52 | 34.7% | |
30–35 years | 49 | 32.7% | |
35–40 years | 21 | 14.0% | |
40+ years | 5 | 3.3% | |
Education | High School | 12 | 8.0% |
Bachelor’s Degree | 73 | 48.7% | |
Master’s Degree | 51 | 34.0% | |
Doctoral Degree | 14 | 9.3% | |
Industry | Technology | 42 | 28.0% |
E-commerce | 33 | 22.0% | |
Fashion and Lifestyle | 27 | 18.0% | |
Food and Beverage | 23 | 15.3% | |
Education | 15 | 10.0% | |
Healthcare | 10 | 6.7% | |
Location | Jakarta | 65 | 43.3% |
Bandung | 27 | 18.0% | |
Surabaya | 21 | 14.0% | |
Yogyakarta | 18 | 12.0% | |
Other Cities | 19 | 12.7% |
AI Application | Users (N) | Percentage | Average Weekly Usage (Hours) | Effectiveness Rating (1–5) |
---|---|---|---|---|
Social Media Management | 114 | 76.0% | 8.3 | 4.2 |
Content Creation | 98 | 65.3% | 6.7 | 4.0 |
Customer Service | 67 | 44.7% | 4.2 | 3.8 |
Market Analysis | 54 | 36.0% | 3.1 | 4.1 |
Financial Planning | 41 | 27.3% | 2.8 | 3.9 |
Language Translation | 89 | 59.3% | 2.4 | 4.3 |
Visual Design | 76 | 50.7% | 5.1 | 3.7 |
Email Marketing | 62 | 41.3% | 3.9 | 4.0 |
Content Category | Avg Posts/Month | Avg Engagement Rate | Avg Reach | Sentiment Score |
---|---|---|---|---|
Religious/Inspirational | 8.2 | 5.4% | 2847 | 0.78 |
Professional Expertise | 12.6 | 4.2% | 3156 | 0.65 |
Lifestyle Integration | 6.1 | 6.1% | 2234 | 0.82 |
Business Updates | 9.3 | 3.8% | 2891 | 0.59 |
Community Events | 4.7 | 7.2% | 1876 | 0.85 |
Educational Content | 7.8 | 4.9% | 2567 | 0.71 |
Framework Score Range | Number of Entrepreneurs | Funding Success Rate | Average Funding Amount (USD) | Time to Funding (Months) |
---|---|---|---|---|
4.5–5.0 (Excellent) | 28 | 89.3% | $127,400 | 4.2 |
4.0–4.4 (Good) | 35 | 74.3% | $98,600 | 5.8 |
3.5–3.9 (Fair) | 42 | 61.9% | $76,200 | 7.3 |
3.0–3.4 (Poor) | 31 | 45.2% | $54,800 | 9.1 |
Below 3.0 (Very Poor) | 14 | 21.4% | $32,100 | 12.6 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Putri, V.C.C.; Sonni, A.F. AI-Driven Personal Branding for Female Entrepreneurs: The Indonesian Hijabi Startup Ecosystem. Journal. Media 2025, 6, 131. https://doi.org/10.3390/journalmedia6030131
Putri VCC, Sonni AF. AI-Driven Personal Branding for Female Entrepreneurs: The Indonesian Hijabi Startup Ecosystem. Journalism and Media. 2025; 6(3):131. https://doi.org/10.3390/journalmedia6030131
Chicago/Turabian StylePutri, Vinanda Cinta Cendekia, and Alem Febri Sonni. 2025. "AI-Driven Personal Branding for Female Entrepreneurs: The Indonesian Hijabi Startup Ecosystem" Journalism and Media 6, no. 3: 131. https://doi.org/10.3390/journalmedia6030131
APA StylePutri, V. C. C., & Sonni, A. F. (2025). AI-Driven Personal Branding for Female Entrepreneurs: The Indonesian Hijabi Startup Ecosystem. Journalism and Media, 6(3), 131. https://doi.org/10.3390/journalmedia6030131