The Role of AI, IOT, and E-Marketing in Enhancing the Sustainability and Competitiveness of MSMES
Keywords:
Artificial Intelligence, Internet of Things, E-Marketing, MSME Sustainability, Digital Transformation, Business Performance, Automation, Data AnalyticsAbstract
This study examines how the integration of Artificial Intelligence (AI), the Internet of Things (IoT), and e-marketing can enhance the sustainability and competitiveness of Micro, Small, and Medium Enterprises (MSMEs). It addresses the gap in existing literature regarding the synergistic effects of these technologies in overcoming resource constraints often faced by MSMEs during digital transformation. While previous research has focused on the individual benefits of AI or IoT, limited attention has been given to their combined impact on e-marketing and its influence on MSME sustainability. Using a quantitative approach, this study surveyed 200 MSMEs in Denpasar City through a Likert-scale-based questionnaire, analyzed with PLS-SEM version 4.0. Findings reveal that AI improves access to e-marketing channels and operational efficiency, while IoT enhances data analytics and automates business processes. Their integrated adoption significantly boosts digital marketing performance, thereby positively affecting MSME sustainability. Challenges identified include the high costs and expertise required for effective implementation. Nonetheless, with appropriate investment and technical support, the synergy of AI, IoT, and e-marketing can make MSMEs more sustainable. From a managerial perspective, the long-term integration of these technologies into business strategies is critical for sustaining growth in the digital era.
References
Apriani, A., Sani, I., Kurniawati, L., Prayoga, R., & Panggabean, H. L. (2024). The Role of Artificial Intelligence (AI) and its Benefits in Digital Marketing Stratey. East Asian Journal of Multidisciplinary Research (EAJMR), 3(1), 319–332. https://journal.formosapublisher.org/index.php/eajmr
Ardhiyansyah, A., Juniansyah, M. A., & Putra, U. N. (2024). Have MSMEs in Indonesia Focused on Business Sustainability? The Influence of Environmental Orientation, Technology Implementation, Green Marketing, and Innovation Capability. 7(2), 369–394.
Aziz, R. A. (2019). The Opportunities For MSMEs In The Industrial Technology. International Conference on Information Technology and Bussiness, Icitb, 272–286. https://jurnal.darmajaya.ac.id/index.php/icitb/article/download/2129/1110
Balahurovska, I. (2023). the Role of Leadership in Industry 4.0. System Safety: Human - Technical Facility - Environment, 5(1), 66–74. https://doi.org/10.2478/czoto-2023-0008
Basaure, A., Vesselkov, A., & Töyli, J. (2020). Internet of things (IoT) platform competition: Consumer switching versus provider multihoming. Technovation, 90–91(November 2019), 102101. https://doi.org/10.1016/j.technovation.2019.102101
Cakranegara, P. A., Marih, L. O., Butarbutar, D. J. A., Maqfirah, P. A.-V., & Pakawaru, I. (2022). Analysis of MSME Sales Strategy in the Digital Era. Jurnal Ekonomi, 11(03), 1720–1726. http://ejournal.seaninstitute.or.id/index.php/Ekonomi/article/view/969%0Ahttps://ejournal.seaninstitute.or.id/index.php/Ekonomi/article/download/969/802
Claveria, O. (2021). Correction to: A new metric of consensus for Likert-type scale questionnaires: an application to consumer expectations. Journal of Banking and Financial Technology. https://doi.org/10.1007/s42786-021-00029-2
Darusalam, U., Nathasia, N. D., Zarlis, M., & Priambodo, P. S. (2024). Simulating Free-Space Optical Communications to Support a Li-Fi Access Network in a Smart City Concept. CommIT Journal, 18(1), 17–27. https://doi.org/10.21512/commit.v18i1.10458
Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48(1), 24–42. https://doi.org/10.1007/s11747-019-00696-0
Di Vaio, A., Palladino, R., Hassan, R., & Escobar, O. (2020). Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review. Journal of Business Research, 121(January), 283–314. https://doi.org/10.1016/j.jbusres.2020.08.019
Ding, S., Ward, H., & Tukker, A. (2023). How Internet of Things can influence the sustainability performance of logistics industries – A Chinese case study. Cleaner Logistics and Supply Chain, 6(January), 100094. https://doi.org/10.1016/j.clscn.2023.100094
Eckardt, M., & Kerber, W. (2024). Property rights theory, bundles of rights on IoT data, and the EU Data Act. In European Journal of Law and Economics (Vol. 57, Issue 1). Springer US. https://doi.org/10.1007/s10657-023-09791-8
Gerakoudi, K., Kokosalakis, G., & Stavroulakis, P. J. (2024). A machine learning approach towards reviewing the role of ‘Internet of Things’ in the shipping industry. Journal of Shipping and Trade, 9(1). https://doi.org/10.1186/s41072-024-00177-w
Giordano, G., Palomba, F., & Ferrucci, F. (2022). On the use of artificial intelligence to deal with privacy in IoT systems: A systematic literature review. Journal of Systems and Software, 193, 111475. https://doi.org/10.1016/j.jss.2022.111475
Gudigantala, N., Madhavaram, S., & Bicen, P. (2023). An AI decision-making framework for business value maximization. AI Magazine, 44(1), 67–84. https://doi.org/10.1002/aaai.12076
Haleem, A., Javaid, M., Asim Qadri, M., Pratap Singh, R., & Suman, R. (2022). Artificial intelligence (AI) applications for marketing: A literature-based study. International Journal of Intelligent Networks, 3(July), 119–132. https://doi.org/10.1016/j.ijin.2022.08.005
Haque, R., Senathirajah, A. R. bin S., Khalil, M. I., Qazi, S. Z., & Ahmed, S. (2024). A Structural Path Analysis Bangladeshi SMEs’ Sustainability through Social Media Marketing. Sustainability (Switzerland) , 16(13), 1–19. https://doi.org/10.3390/su16135433
Jo, H., & Baek, E. M. (2023). Customization, loneliness, and optimism: drivers of intelligent personal assistant continuance intention during COVID-19. Humanities and Social Sciences Communications, 10(1). https://doi.org/10.1057/s41599-023-02021-1
Juniardi, J., & So, I. G. (2012). E-Marketing Berbasis Web untuk Memenangkan Persaingan Bisnis. Binus Business Review, 3(1), 413. https://doi.org/10.21512/bbr.v3i1.1330
Kilay, A. L., Simamora, B. H., & Putra, D. P. (2022). The Influence of E-Payment and E-Commerce Services on Supply Chain Performance: Implications of Open Innovation and Solutions for the Digitalization of Micro, Small, and Medium Enterprises (MSMEs) in Indonesia. Journal of Open Innovation: Technology, Market, and Complexity, 8(3), 119. https://doi.org/10.3390/joitmc8030119
Kolbjørnsrud, V. (2023). Designing the Intelligent Organization: SIX PRINCIPLES FOR HUMAN-AI COLLABORATION. California Management Review, 44–64. https://doi.org/10.1177/00081256231211020
Kowalkowski, C., Wirtz, J., & Ehret, M. (2024). Digital service innovation in B2B markets. Journal of Service Management, 35(2), 280–305. https://doi.org/10.1108/JOSM-12-2022-0403
Kristiyanto, Y., & Ernastuti. (2020). Analysis of Deauthentication Attack on IEEE 802.11 Connectivity Based on IoT Technology Using External Penetration Test. CommIT Journal, 14(1), 45–51. https://doi.org/10.21512/commit.v14i1.6337
Kulkarni, A. V., Joseph, S., & Patil, K. P. (2024). Artificial intelligence technology readiness for social sustainability and business ethics: Evidence from MSMEs in developing nations. International Journal of Information Management Data Insights, 4(2), 100250. https://doi.org/10.1016/j.jjimei.2024.100250
Labib, E. (2024). Artificial intelligence in marketing: exploring current and future trends. Cogent Business and Management, 11(1). https://doi.org/10.1080/23311975.2024.2348728
Lo, F. Y., & Campos, N. (2018). Blending Internet-of-Things (IoT) solutions into relationship marketing strategies. Technological Forecasting and Social Change, 137(April), 10–18. https://doi.org/10.1016/j.techfore.2018.09.029
Marengo, A. (2024). Navigating the nexus of AI and IoT: A comprehensive review of data analytics and privacy paradigms. Internet of Things (Netherlands), 27(August), 101318. https://doi.org/10.1016/j.iot.2024.101318
Marken, G., Frick, V., Schmelzle, F., & Meyer, A. (2024). The (Un-)Sustainability of Artificial Intelligence in Online Marketing. https://www.ioew.de/fileadmin/user_upload/IOEW_SR_228_The__Un-_Sustainability_of_Artificial_Intelligence_in_Online_Marketing.pdf
Martínez-Peláez, R., Ochoa-Brust, A., Rivera, S., Félix, V. G., Ostos, R., Brito, H., Félix, R. A., & Mena, L. J. (2023). Role of Digital Transformation for Achieving Sustainability: Mediated Role of Stakeholders, Key Capabilities, and Technology. Sustainability (Switzerland), 15(14). https://doi.org/10.3390/su151411221
Miladi, M. N., Hasan, A. R., Al Ghobiri, M., Nasr, O., & Abelmotlab, A. (2021). Towards an Internet of Things for Health Centers in the Southern Saudi Arabia Region. CommIT Journal, 15(1), 1–7. https://doi.org/10.21512/commit.v15i1.6765
Moon, J.-W., An, Y., & Norman, W. (2022). Exploring the application of the uses and gratifications theory as a conceptual model for identifying the motivations for smartphone use by e-tourists. Tourism Critiques: Practice and Theory, 3(2), 102–119. https://doi.org/10.1108/trc-03-2022-0005
Ogata, H., Flanagan, B., Takami, K., Dai, Y., Nakamoto, R., & Takii, K. (2024). EXAIT: Educational eXplainable Artificial Intelligent Tools for personalized learning. Research and Practice in Technology Enhanced Learning, 19, 1–30. https://doi.org/10.58459/rptel.2024.19019
Pan, S. L., & Nishant, R. (2023). Artificial intelligence for digital sustainability: An insight into domain-specific research and future directions. International Journal of Information Management, 72(May), 102668. https://doi.org/10.1016/j.ijinfomgt.2023.102668
Priyadarshini, I. (2024). Anomaly Detection of IoT Cyberattacks in Smart Cities Using Federated Learning and Split Learning. Big Data and Cognitive Computing, 8(3). https://doi.org/10.3390/bdcc8030021
Salah, O. H., & Ayyash, M. M. (2024). E-commerce adoption by SMEs and its effect on marketing performance: An extended of TOE framework with ai integration, innovation culture, and customer tech-savviness. Journal of Open Innovation: Technology, Market, and Complexity, 10(1), 100183. https://doi.org/10.1016/j.joitmc.2023.100183
Sarker, I. H. (2023). Machine Learning for Intelligent Data Analysis and Automation in Cybersecurity: Current and Future Prospects. Annals of Data Science, 10(6), 1473–1498. https://doi.org/10.1007/s40745-022-00444-2
Scherer, R., & Teo, T. (2019). Unpacking teachers’ intentions to integrate technology: A meta-analysis. Educational Research Review, 27(0317), 90–109. https://doi.org/10.1016/j.edurev.2019.03.001
Siderska, J., Aunimo, L., Süße, T., Stamm, J. von, Kedziora, D., & Aini, S. N. B. M. (2023). Towards Intelligent Automation (IA): Literature Review on the Evolution of Robotic Process Automation (RPA), its Challenges, and Future Trends. Engineering Management in Production and Services, 15(4), 90–103. https://doi.org/10.2478/emj-2023-0030
Tarigan, R. E., & Dewi, K. S. (2015). Web-Based Implementation of E-Marketing to Support Product Marketing of Chemical Manufacturing Company. CommIT (Communication and Information Technology) Journal, 9(2), 73. https://doi.org/10.21512/commit.v9i2.1650
Widhya, K., Putra, S., & Lasmi, N. W. (2024). Financial Synergy for Sustainable Success : Op6mizing Management , Investment , AI , and Risk SMEs in Bali. 14(2), 204–219.
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