Smart Marketing Transformation: Optimalisasi Promosi UMKM Melalui Ai, Chatgpt, Dan Sistem Informasi Manajemen
DOI:
https://doi.org/10.51903/b279z146Kata Kunci:
ChatGPT, Sistem Informasi Manajemen, UMKM, Pemasaran Digital, Transformasi Digital, Kecerdasan Buatan, Smart Marketing EcosystemAbstrak
UMKM memiliki kontribusi signifikan terhadap perekonomian Indonesia, namun perkembangan teknologi dan perubahan perilaku konsumen menuntut UMKM untuk beradaptasi lebih cepat agar tetap kompetitif. Transformasi digital menjadi langkah strategis yang tidak dapat dihindari dalam menghadapi dinamika pasar modern. Penelitian ini menawarkan kebaruan melalui integrasi Generative AI (ChatGPT) dengan Sistem Informasi Manajemen (SIM) sebagai model inovatif untuk meningkatkan kapabilitas pemasaran digital UMKM. Menggunakan metode tinjauan pustaka dengan pendekatan kualitatif terhadap publikasi 2020-2025 dari Google Scholar, studi ini mengidentifikasi bahwa pemanfaatan ChatGPT tidak hanya mempercepat proses pengolahan informasi dan otomasi layanan, tetapi juga mendukung pengambilan keputusan pemasaran berbasis data secara real time. Temuan menunjukkan bahwa kolaborasi ChatGPT-SIM mampu menciptakan smart marketing ecosystem yang memperkuat daya saing UMKM melalui peningkatan efisiensi operasional, personalisasi layanan pelanggan, dan optimalisasi strategi promosi digital. Studi kasus pada TikTok dan Tokopedia Kenangan mengonfirmasi bahwa adopsi teknologi digital berbasis AI dapat memperluas jangkauan pasar, meningkatkan konversi penjualan, serta memperbaiki manajemen inventori. Meskipun demikian, tantangan berupa infrastruktur digital yang belum merata dan rendahnya literasi teknologi perlu diatasi melalui pelatihan dan pendampingan berkelanjutan. Penelitian ini menegaskan bahwa integrasi ChatGPT dalam SIM menghadirkan pendekatan baru yang relevan bagi UMKM untuk beradaptasi dengan ekosistem bisnis digital yang semakin dinamis.
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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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