SMART MARKETING TRANSFORMATION: OPTIMALISASI PROMOSI UMKM MELALUI AI, CHATGPT, DAN SISTEM INFORMASI MANAJEMEN
DOI:
https://doi.org/10.51903/b279z146Keywords:
Management Information System; MSMEs; Digital Marketing; Digital Transformation; Artificial Intelligence; Smart Marketing EcosystemAbstract
Micro, Small, and Medium Enterprises (MSMEs) contribute significantly to Indonesia’s economy; however, technological advancements and shifts in consumer behavior require MSMEs to adapt more rapidly to remain competitive. Digital transformation has become a strategic and inevitable step in facing the dynamics of the modern market. This study offers novelty through the integration of Generative AI (ChatGPT) with Management Information Systems (MIS) as an innovative model to enhance MSMEs’ digital marketing capabilities. Using a literature review method with a qualitative approach based on 2020–2025 publications from Google Scholar, this study identifies that the utilization of ChatGPT not only accelerates information processing and service automation but also supports real-time, data-driven marketing decision-making. The findings demonstrate that the ChatGPT–MIS collaboration can create a smart marketing ecosystem that strengthens MSMEs’ competitiveness by improving operational efficiency, personalizing customer services, and optimizing digital promotional strategies. Case studies on TikTok and Tokopedia Kenangan confirm that the adoption of AI-based digital technologies can expand market reach, increase sales conversion, and improve inventory management. Nevertheless, challenges such as uneven digital infrastructure and low technological literacy need to be addressed through continuous training and mentoring. This study asserts that integrating ChatGPT into MIS presents a relevant and innovative approach for MSMEs to adapt to an increasingly dynamic digital business ecosystem.
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[1] Abubakar, A. M., Behravesh, E., Rezapouraghdam, H., & Yildiz, S. B. (2019). Applying artificial intelligence technique to predict knowledge hiding behavior. International Journal of Information Management, 49, 45–57. https://doi.org/10.1016/j.ijinfomgt.2019.02.006
[2] Aji, P. M., Bertha, A., & Wijaya, F. (2021). Digital marketing adoption and MSME performance in developing countries. Journal of Business Research, 131, 587–595. https://doi.org/10.1016/j.jbusres.2021.03.045
[3] Alshater, M. M. (2022). Artificial intelligence and its role in the digital transformation of small firms. Technological Forecasting and Social Change, 185, 122–156. https://doi.org/10.1016/j.techfore.2022.122156
[4] Bag, S., Gupta, S., & Kumar, S. (2021). Industry 4.0 and sustainability: Green theory perspective on digital transformation. Journal of Cleaner Production, 324, 129–202. https://doi.org/10.1016/j.jclepro.2021.129202
[5] Bresciani, S., Ferraris, A., & Del Giudice, M. (2018). The management of organizational ambidexterity: Technological innovation in SMEs. Journal of Business Research, 89, 198–205. https://doi.org/10.1016/j.jbusres.2017.12.042
[6] Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., … Williams, M. D. (2021). Artificial Intelligence for business: A comprehensive review. International Journal of Information Management, 57, 102–120. https://doi.org/10.1016/j.ijinfomgt.2020.102104
[7] Feng, Y., Chen, M., & Zhang, L. (2022). AI-based marketing automation and customer engagement. Journal of Retailing and Consumer Services, 68, 103–144. https://doi.org/10.1016/j.jretconser.2022.103144
[8] Ghobakhloo, M., & Iranmanesh, M. (2020). Digital transformation success in SMEs: The role of technological readiness. Information Systems Frontiers, 22(4), 889–910. https://doi.org/10.1007/s10796-020-10079-w
[9] Hidayatullah, S., & Kusuma, D. (2021). MSME digitalization and business performance: Evidence from ASEAN countries. Small Business Economics, 57(3), 1421–1439. https://doi.org/10.1007/s11187-020-00411-7
[10] Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? Artificial intelligence and consumer behavior. Business Horizons, 62(1), 15–25. https://doi.org/10.1016/j.bushor.2018.08.004
[11] Kim, S., Kim, K. J., & Lee, D. (2021). Chatbot adoption for business support: Understanding user acceptance. Computers in Human Behavior, 125, 106–189. https://doi.org/10.1016/j.chb.2021.106892
[12] Kumar, V., Dixit, A., Javalgi, R. G., & Dass, M. (2022). Digital transformation of emerging market SMEs through artificial intelligence. Industrial Marketing Management, 102, 112–126. https://doi.org/10.1016/j.indmarman.2021.12.028
[13] Li, Y., Zeng, S., & Chen, H. (2020). Digital platform capabilities and strategic agility in SMEs. Technovation, 94, 102–182. https://doi.org/10.1016/j.technovation.2019.102182
[14] Liu, T., & Huang, Y. (2023). The role of AI-driven decision making on SME competitiveness. Computers & Industrial Engineering, 174, 108–069. https://doi.org/10.1016/j.cie.2022.108069
[15] McCarthy, I. P., & Gordon, S. R. (2021). Strategic value of AI integration in marketing. International Journal of Research in Marketing, 38(3), 678–693. https://doi.org/10.1016/j.ijresmar.2021.01.004
[16] Nambisan, S., Wright, M., & Feldman, M. (2019). The digital economy and entrepreneurship: Research directions. Entrepreneurship Theory and Practice, 43(1), 141–154. https://doi.org/10.1177/1042258718794021
[17] Nurani, F., & Prasetyo, B. (2022). Transformation of Indonesian MSMEs using digital ecosystems. Journal of Asian Business and Economic Studies, 29(2), 80–99. https://doi.org/10.1108/JABES-01-2021-0008
[18] Omar, M. S., & Halim, S. (2020). Digital marketing adoption among micro-businesses: Evidence from Asia. Journal of Entrepreneurship in Emerging Economies, 12(1), 30–53. https://doi.org/10.1108/JEEE-05-2019-0068
[19] Porter, M. E., & Heppelmann, J. E. (2019). How smart, connected products are transforming competition. Harvard Business Review, 93(10), 64–88.
[20] Rao, A., & Verweij, G. (2020). Sizing the prize: What’s the real value of AI for your business? PwC Research Report.
[21] Rust, R. T. (2020). The future of marketing. International Journal of Research in Marketing, 37(1), 15–26. https://doi.org/10.1016/j.ijresmar.2019.08.002
[22] Soto-Acosta, P. (2020). COVID-19 pandemic: Digital transformation in SMEs. Journal of Small Business and Enterprise Development, 27(7), 79–93. https://doi.org/10.1108/JSBED-06-2020-0230
[23] Sultana, S., & Imtiaz, S. (2023). AI-enabled marketing strategies for small businesses. Journal of Business & Industrial Marketing, 38(7), 1203–1221. https://doi.org/10.1108/JBIM-08-2022-0409
[24] Susskind, R., & Susskind, D. (2020). The future of professions: How technology will transform the work of human experts. Oxford University Press.
[25] Teece, D. J. (2018). Business models and dynamic capabilities. Long Range Planning, 51(1), 40–49. https://doi.org/10.1016/j.lrp.2017.06.007
[26] Wang, Y., Kung, L., & Byrd, T. A. (2018). Big data analytics: Understanding its capabilities and potential benefits for SMEs. Information & Management, 55(2), 103–114. https://doi.org/10.1016/j.im.2017.07.003
[27] Zhang, W., & Li, X. (2021). Sustainable digital transformation in SMEs: A green theory approach. Sustainable Production and Consumption, 28, 142–154. https://doi.org/10.1016/j.spc.2021.04.018
[28] Zhou, L., & Kapoor, K. (2023). Digital ecosystems and the competitiveness of SMEs. Information & Management, 60(1), 103–143. https://doi.org/10.1016/j.im.2022.103143
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