AI-Driven Market Insights: Transforming the Competitiveness of Local MSMEs in Bekasi, Indonesia

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Novi Lestari
Abdisamad Abdirahman Omar
M. Yani Syafei
Muhammad Eko Purwanto

Abstract

AI-DRIVEN MARKET INSIGHTS: TRANSFORMING THE COMPETITIVENESS OF LOCAL MSMEs IN BEKASI, INDONESIA. This study examines the role of AI-driven market insights in transforming the competitiveness of local Micro, Small, and Medium Enterprises (MSMEs) in Bekasi Regency, West Java, Indonesia. Using a descriptive qualitative approach, the research is based on literature review and secondary data, complemented by empirical insights from the Institution Collaboration for International Community Service 2026. The findings reveal that structured knowledge transfer has enabled MSMEs to understand and begin internalizing Artificial Intelligence (AI) as a strategic tool for analyzing market trends, consumer behavior, and business opportunities. Furthermore, the study identifies a significant increase in digital awareness and literacy among MSME actors, reflected in their shift from intuition-based to data-driven decision-making practices. This transformation is further supported by the emergence of a collaborative ecosystem involving academic institutions, international experts, and local entrepreneurs, which facilitates knowledge co-creation and innovation diffusion. Through triangulation and theoretical dialogue, the study confirms that AI adoption in MSMEs is influenced by knowledge transfer, digital literacy, and ecosystem support. The results highlight that AI-driven market insights are no longer merely conceptual but are increasingly being implemented in local business practices. Therefore, this study contributes to the literature on digital transformation and MSME development by providing empirical evidence of how AI can enhance competitiveness in emerging economies.

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How to Cite
Lestari, N., Abdirahman Omar, A., Syafei, M. Y., & Purwanto, M. E. (2026). AI-Driven Market Insights: Transforming the Competitiveness of Local MSMEs in Bekasi, Indonesia. International Journal of Community Service (IJCS), 5(2), 703–723. https://doi.org/10.55299/ijcs.v5i2.2047
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References

Abou-Foul, M., Ruiz-Alba, J. L., & López-Tenorio, P. J. (2023). The impact of artificial intelligence capabilities on servitization: The moderating role of absorptive capacity-A dynamic capabilities perspective. Journal of Business Research, 157, 113609. https://doi.org/https://doi.org/10.1016/j.jbusres.2022.113609

Adam, L., Ermawati, T., Nurjati, E., Yoga Edi, R., Inayah, I., Mulyaningsih, Y., Thoha, M., Sarana, J., S. Soesilowati, E., Saptia, Y., Adityawati, S., & Darwin. (2024). Entrepreneurial orientation in Indonesian SMEs. Cogent Business & Management, 11(1), 2399750. https://doi.org/10.1080/23311975.2024.2399750

Ahmad, M., & Wilkins, S. (2025). Purposive sampling in qualitative research: a framework for the entire journey. Quality & Quantity, 59(2), 1461–1479. https://doi.org/10.1007/s11135-024-02022-5

Aminullah, E., Fizzanty, T., Nawawi, N., Suryanto, J., Pranata, N., Maulana, I., Ariyani, L., Wicaksono, A., Suardi, I., Azis, N. L. L., & Budiatri, A. P. (2024). Interactive Components of Digital MSMEs Ecosystem for Inclusive Digital Economy in Indonesia. Journal of the Knowledge Economy, 15(1), 487–517. https://doi.org/10.1007/s13132-022-01086-8

Anatan, L., & Nur. (2023). Micro, Small, and Medium Enterprises’ Readiness for Digital Transformation in Indonesia. In Economies (Vol. 11, Number 6, p. 156). https://doi.org/10.3390/economies11060156

Arroyabe, M. F., Arranz, C. F. A., Fernandez De Arroyabe, I., & Fernandez de Arroyabe, J. C. (2024). Analyzing AI adoption in European SMEs: A study of digital capabilities, innovation, and external environment. Technology in Society, 79, 102733. https://doi.org/https://doi.org/10.1016/j.techsoc.2024.102733

Asipi, L. S., Rosalina, U., & Nopiyadi, D. (2022). The Analysis of Reading Habits Using Miles and Huberman Interactive Model to Empower Students’ Literacy at IPB Cirebon. International Journal of Education and Humanities, 2(3 SE-Articles), 117–125. https://doi.org/10.58557/ijeh.v2i3.98

Ayinaddis, S. G. (2025). Artificial intelligence adoption dynamics and knowledge in SMEs and large firms: A systematic review and bibliometric analysis. Journal of Innovation & Knowledge, 10(3), 100682. https://doi.org/https://doi.org/10.1016/j.jik.2025.100682

Balzano, M., Marzi, G., & Turzo, T. (2024). SMEs and institutional theory: major inroads and opportunities ahead. Management Decision, 63(13), 1–27. https://doi.org/10.1108/MD-05-2023-0734

Bedoya-Villa, M., Pérez-Sánchez, E., Baier-Fuentes, H., Zapata-Molina, C., & Román-Castaño, E. (2023). The Effects of Dynamic Absorptive Capacity on Innovation Strategy: Evidence from SMEs in a Technological Context. In Mathematics (Vol. 11, Number 10, p. 2366). https://doi.org/10.3390/math11102366

Bhatti, S. H., Ahmed, A., Ferraris, A., Hirwani Wan Hussain, W. M., & Wamba, S. F. (2025). Big data analytics capabilities and MSME innovation and performance: A double mediation model of digital platform and network capabilities. Annals of Operations Research, 350(2), 729–752. https://doi.org/10.1007/s10479-022-05002-w

Chand, S. P. (2025). Methods of Data Collection in Qualitative Research: Interviews, Focus Groups, Observations, and Document Analysis. Advances in Educational Research and Evaluation, 6(1 SE-Review). https://doi.org/10.25082/AERE.2025.01.001

Costa Melo, D. I., Queiroz, G. A., Alves Junior, P. N., Sousa, T. B. de, Yushimito, W. F., & Pereira, J. (2023). Sustainable digital transformation in small and medium enterprises (SMEs): A review on performance. Heliyon, 9(3), e13908. https://doi.org/https://doi.org/10.1016/j.heliyon.2023.e13908

Deschênes, A.-A. (2024). Digital literacy, the use of collaborative technologies, and perceived social proximity in a hybrid work environment: Technology as a social binder. Computers in Human Behavior Reports, 13, 100351. https://doi.org/https://doi.org/10.1016/j.chbr.2023.100351

Drydakis, N. (2022). Artificial Intelligence and Reduced SMEs’ Business Risks. A Dynamic Capabilities Analysis During the COVID-19 Pandemic. Information Systems Frontiers, 24(4), 1223–1247. https://doi.org/10.1007/s10796-022-10249-6

Enworo, O. C. (2023). Application of Guba and Lincoln’s parallel criteria to assess trustworthiness of qualitative research on indigenous social protection systems. Qualitative Research Journal, 23(4), 372–384. https://doi.org/https://doi.org/10.1108/QRJ-08-2022-0116

Faiz, F., Le, V., & Masli, E. K. (2024). Determinants of digital technology adoption in innovative SMEs. Journal of Innovation & Knowledge, 9(4), 100610. https://doi.org/https://doi.org/10.1016/j.jik.2024.100610

Ha, S. T., Lo, M. C., & Mohamad, A. A. (2026). Empowering SME Potential: How AI Information Quality Fuels Market Orientation Success in the Digital Age. Journal of the Knowledge Economy, 17(1), 2469–2489. https://doi.org/10.1007/s13132-025-02669-x

Hardiana, C. D., Yusril, Mutaufiq, A., Omar, A. A., Syafei, M. Y., Saputra, A., Sidiq, I. N., & Fachmudji, F. (2026). Leveraging Artificial Intelligence to Enhance Market Intelligence for MSMEs in Bekasi, Indonesia: Challenges and Opportunities. International Journal of Community Service.

IMF Asia and Pacific Dept. (2024). Financing Barriers and Performance of Micro, Small, and Medium Enterprises (MSMES). IMF Staff Country Reports, 2024(271), A002. https://doi.org/10.5089/9798400284663.002.A002

Kastelli, I., Dimas, P., Stamopoulos, D., & Tsakanikas, A. (2024). Linking Digital Capacity to Innovation Performance: the Mediating Role of Absorptive Capacity. Journal of the Knowledge Economy, 15(1), 238–272. https://doi.org/10.1007/s13132-022-01092-w

Kgakatsi, M., Galeboe, O. P., Molelekwa, K. K., & Thango, B. A. (2024). The Impact of Big Data on SME Performance: A Systematic Review. In Businesses (Vol. 4, Number 4, pp. 632–695). https://doi.org/10.3390/businesses4040038

Khatami, F., De Bernardi, P., Vilamová, Š., Cagno, E., & Ricciardi, F. (2024). Innovation ecosystem for smart product: empirical quantification of its key dimensions in SMEs of 21 European countries. Review of Managerial Science, 18(9), 2723–2748. https://doi.org/10.1007/s11846-024-00763-z

Le Dinh, T., Vu, M.-C., & Tran, G. T. C. (2025). Artificial Intelligence in SMEs: Enhancing Business Functions Through Technologies and Applications. In Information (Vol. 16, Number 5, p. 415). https://doi.org/10.3390/info16050415

Lemos, S. I. C., Ferreira, F. A. F., Zopounidis, C., Galariotis, E., & Ferreira, N. C. M. Q. F. (2025). Artificial intelligence and change management in small and medium-sized enterprises: an analysis of dynamics within adaptation initiatives. Annals of Operations Research, 353(1), 197–223. https://doi.org/10.1007/s10479-022-05159-4

Leoni, L., Gueli, G., Ardolino, M., Panizzon, M., & Gupta, S. (2024). AI-empowered KM processes for decision-making: empirical evidence from worldwide organisations. Journal of Knowledge Management, 28(11), 320–347. https://doi.org/10.1108/JKM-03-2024-0262

Liao, H., Liu, Y., & Li, P. (2023). Information systems adoption and knowledge performance: An absorptive capacity perspective. Frontiers in Psychology, Volume 13. https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2022.1062780

Lin, J. Y., Yang, Z., Li, Y., & Zhang, Y. (2022). Development strategy and the MSMEs finance gap. Journal of Government and Economics, 5, 100034. https://doi.org/https://doi.org/10.1016/j.jge.2022.100034

Lu, X., Wijayaratna, K., Huang, Y., & Qiu, A. (2022). AI-Enabled Opportunities and Transformation Challenges for SMEs in the Post-pandemic Era: A Review and Research Agenda. Frontiers in Public Health, Volume 10. https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2022.885067

Maksum, A., Marini, A., Kurnianti, E. M., Chen, Y., Safitri, D., Dewiyani, L., Zahari, M., Julia, V., Saputro, R. H., Muharrani, N. P., & Marfu, A. (2025). Social presence in digital classrooms: Fostering collaboration and peer interaction in primary education. Social Sciences & Humanities Open, 12, 101795. https://doi.org/https://doi.org/10.1016/j.ssaho.2025.101795

Merín-Rodrigáñez, J., Dasí, À., & Alegre, J. (2024). Digital transformation and firm performance in innovative SMEs: The mediating role of business model innovation. Technovation, 134, 103027. https://doi.org/https://doi.org/10.1016/j.technovation.2024.103027

Mishra, R., Singh, R. K., & Garza-Reyes, J. A. (2025). Interplay between absorptive capacity, analytics competence and sustainable economic performance of MSMEs in supply chain: the mediating role of risk resilience. Annals of Operations Research, 350(2), 853–877. https://doi.org/10.1007/s10479-023-05733-4

Morris, J., Morris, W., & Bowen, R. (2022). Implications of the digital divide on rural SME resilience. Journal of Rural Studies, 89, 369–377. https://doi.org/https://doi.org/10.1016/j.jrurstud.2022.01.005

Oldemeyer, L., Jede, A., & Teuteberg, F. (2025). Investigation of artificial intelligence in SMEs: a systematic review of the state of the art and the main implementation challenges. Management Review Quarterly, 75(2), 1185–1227. https://doi.org/10.1007/s11301-024-00405-4

Ozdemir, S., Carlos Fernandez de Arroyabe, J., Sena, V., & Gupta, S. (2023). Stakeholder diversity and collaborative innovation: Integrating the resource-based view with stakeholder theory. Journal of Business Research, 164, 113955. https://doi.org/https://doi.org/10.1016/j.jbusres.2023.113955

Patrucco, A. S., Marzi, G., & Trabucchi, D. (2023). The role of absorptive capacity and big data analytics in strategic purchasing and supply chain management decisions. Technovation, 126, 102814. https://doi.org/https://doi.org/10.1016/j.technovation.2023.102814

Rupeika-Apoga, R., & Petrovska, K. (2022). Barriers to Sustainable Digital Transformation in Micro-, Small-, and Medium-Sized Enterprises. In Sustainability (Vol. 14, Number 20, p. 13558). https://doi.org/10.3390/su142013558

Saeedikiya, M., Salunke, S., & Kowalkiewicz, M. (2024). Toward a dynamic capability perspective of digital transformation in SMEs: A study of the mobility sector. Journal of Cleaner Production, 439, 140718. https://doi.org/https://doi.org/10.1016/j.jclepro.2024.140718

Sagala, G. H., & Őri, D. (2024). Toward SMEs digital transformation success: a systematic literature review. Information Systems and E-Business Management, 22(4), 667–719. https://doi.org/10.1007/s10257-024-00682-2

Sánchez, E., Calderón, R., & Herrera, F. (2025). Artificial Intelligence Adoption in SMEs: Survey Based on TOE–DOI Framework, Primary Methodology and Challenges. In Applied Sciences (Vol. 15, Number 12, p. 6465). https://doi.org/10.3390/app15126465

Schwaeke, J., Peters, A., Kanbach, D. K., Kraus, S., & Jones, P. (2025). The new normal: The status quo of AI adoption in SMEs. Journal of Small Business Management, 63(3), 1297–1331. https://doi.org/10.1080/00472778.2024.2379999

Secundo, G., Spilotro, C., Gast, J., & Corvello, V. (2025). The transformative power of artificial intelligence within innovation ecosystems: a review and a conceptual framework. Review of Managerial Science, 19(9), 2697–2728. https://doi.org/10.1007/s11846-024-00828-z

Singh, A., Lim, W. M., Jha, S., Kumar, S., & Ciasullo, M. V. (2023). The state of the art of strategic leadership. Journal of Business Research, 158, 113676. https://doi.org/https://doi.org/10.1016/j.jbusres.2023.113676

Tallarico, S., Pellegrini, L., Lazzarotti, V., & Lazzini, S. (2024). Boosting firms’ absorptive capacity: the digital technologies edge. European Journal of Innovation Management, 28(6), 2558–2580. https://doi.org/10.1108/EJIM-09-2023-0741

Tinmaz, H., Lee, Y.-T., Fanea-Ivanovici, M., & Baber, H. (2022). A systematic review on digital literacy. Smart Learning Environments, 9(1), 21. https://doi.org/10.1186/s40561-022-00204-y

Villamin, P., Lopez, V., Thapa, D. K., & Cleary, M. (2025). A Worked Example of Qualitative Descriptive Design: A Step-by-Step Guide for Novice and Early Career Researchers. Journal of Advanced Nursing, 81(8), 5181–5195. https://doi.org/https://doi.org/10.1111/jan.16481

Vivek, R., Nanthagopan, Y., & Piriyatharshan, S. (2023). Beyond Methods: Theoretical Underpinnings of Triangulation in Qualitative and Multi-Method Studies”. SEEU Review, 18(2), 105–122. https://doi.org/10.2478/seeur-2023-0088

Yan, J., & Ahmad, F. (2025). Bridging Institutional Voids in a Volatile Emerging Economy: Role of Regulatory Cultural Stewardship as a Dynamic Capability for Sustainable AI-Enabled Digital Transformation in SMEs. In Sustainability (Vol. 17, Number 22, p. 10397). https://doi.org/10.3390/su172210397

Zahoor, N., Zopiatis, A., Adomako, S., & Lamprinakos, G. (2023). The micro-foundations of digitally transforming SMEs: How digital literacy and technology interact with managerial attributes. Journal of Business Research, 159, 113755. https://doi.org/https://doi.org/10.1016/j.jbusres.2023.113755

Zuhroh, D., Jermias, J., Ratnasari, S. L., Sriyono, Nurjanah, E., & Fahlevi, M. (2025). The impact of sharing economy platforms, management accounting systems, and demographic factors on financial performance: Exploring the role of formal and informal education in MSMEs. Journal of Open Innovation: Technology, Market, and Complexity, 11(1), 100447. https://doi.org/https://doi.org/10.1016/j.joitmc.2024.100447

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