The Influence of Artificial Intelligence-Driven Marketing on the Competitiveness of Agricultural Products in the Digital Economy

Malta

doi:10.54783/influencejournal.v8i3.371

Authors

Malta Universitas Terbuka, Tangerang Selatan, Indonesia

DOI:

https://doi.org/10.54783/influencejournal.v8i3.371

Keywords:

Artificial Intelligence, Digital Marketing, Agricultural Products, Competitiveness, Digital Economy.

Abstract

The rapid development of the digital economy has transformed agricultural product marketing from conventional approaches into technology-driven strategies that emphasize data utilization and digital platforms to strengthen market competitiveness. Increasing competition in digital markets requires agricultural businesses to adopt more adaptive marketing strategies capable of responding to changing consumer preferences, expanding market reach, and improving marketing performance. In this context, Artificial Intelligence has emerged as a strategic enabler for optimizing marketing activities by supporting data-driven decision-making, enhancing promotional effectiveness, and improving communication with consumers. This study aims to analyze the role of Artificial Intelligence-driven marketing in enhancing the competitiveness of agricultural products in the digital economy. This study employed a qualitative approach using a literature review method by analyzing relevant books, scientific articles, and previous studies, with the collected data being systematically interpreted and synthesized to address the research objectives. The findings indicate that Artificial Intelligence-driven marketing contributes to improving the competitiveness of agricultural products by expanding market reach, increasing product value, strengthening consumer engagement, and enhancing overall marketing performance. The effectiveness of its implementation is supported by digital infrastructure readiness, high-quality marketing data, competent human resources, organizational support, and the integration of technology into marketing activities, although several implementation challenges remain. Therefore, strengthening adaptive marketing strategies, fostering technological innovation, encouraging stakeholder collaboration, and developing market-oriented digital marketing initiatives are essential to achieving sustainable competitiveness of agricultural products in the digital economy.

References

Alam, M. W., Kumar, J. V., Awad, M., Saravanan, P., Al‐Sowayan, N. S., Rosaiah, P., & Nivetha, M. S. (2025). Emerging trends in food process engineering: integrating sensing technologies for health, sustainability, and consumer preferences. Journal of Food Process Engineering, 48(1), e70035.

Choruma, D. J., Dirwai, T. L., Mutenje, M. J., Mustafa, M., Chimonyo, V. G. P., Jacobs-Mata, I., & Mabhaudhi, T. (2024). Digitalisation in agriculture: A scoping review of technologies in practice, challenges, and opportunities for smallholder farmers in sub-saharan africa. Journal of agriculture and food research, 18, 101286.

Corrado, C., Haskel, J., Jona-Lasinio, C., & Iommi, M. (2022). Intangible capital and modern economies. Journal of Economic Perspectives, 36(3), 3-28.

Eduardsen, J., Marinova, S., Leonidou, L. C., & Christodoulides, P. (2023). Organizational Influences and Performance Impact of Cross-Border E-Commerce Barriers: The Moderating Role of Home Country Digital Infrastructure and Foreign Market Internet Penetration: Cross-border e-commerce barriers. Management International Review, 63(3), 433-467.

Gadanakis, Y. (2024). Advancing farm entrepreneurship and agribusiness management for sustainable agriculture. Agriculture, 14(8), 1288.

Giannakopoulos, N. T., Terzi, M. C., Sakas, D. P., Kanellos, N., Toudas, K. S., & Migkos, S. P. (2024). Agroeconomic indexes and big data: digital marketing analytics implications for enhanced decision making with artificial intelligence-based modeling. Information, 15(2), 67.

Henkin, R., Remfry, E., Reynolds, D. J., Clinch, M., & Barnes, M. R. (2026). “We’ll have to see how it works”: An interview study to understand collaborative practices in interdisciplinary artificial intelligence and healthcare research. PloS one, 21(7), e0354358.

Hokmabadi, H., Rezvani, S. M., & De Matos, C. A. (2024). Business resilience for small and medium enterprises and startups by digital transformation and the role of marketing capabilities—A systematic review. Systems, 12(6), 220.

Kaur, R., Singh, R., Gehlot, A., Priyadarshi, N., & Twala, B. (2022). Marketing strategies 4.0: Recent trends and technologies in marketing. Sustainability, 14(24), 16356.

Kaushik, M., Pathak, S., Bhatt, P. K., Singh, S. K., Tripathi, A., & Pandey, P. K. (2022). Artificial intelligence (AI). Intelligent system algorithms and applications in science and Technology, 119-133.

Kumar, D., & Suthar, N. (2024). Ethical and legal challenges of AI in marketing: an exploration of solutions. Journal of Information, Communication and Ethics in Society, 22(1), 124-144.

Lei, J., Xie, Y., Chen, Y., Zhong, T., Lin, Y., & Wang, M. (2025). The transformation of peri-urban agriculture and its implications for urban–rural integration under the influence of digital technology. Land, 14(2), 375.

Nordin, F., & Ravald, A. (2023). The making of marketing decisions in modern marketing environments. Journal of Business Research, 162, 113872.

Oloyede, A. A., Faruk, N., Noma, N., Tebepah, E., & Nwaulune, A. K. (2023). Measuring the impact of the digital economy in developing countries: A systematic review and meta-analysis. Heliyon, 9(7).

Osman, R., & El‐Gendy, S. (2025). Interconnected and resilient: A CGE analysis of AI‐driven cyberattacks in global trade. Risk Analysis, 45(4), 846-862.

Paraschiv, D. M., ȚIțan, E., Manea, D. I., Ionescu, C. D., Mihai, M., & Șerban, O. (2022). The change in e-commerce in the context of the Coronavirus pandemic. Management & Marketing, 17(2), 220-233.

Paul Jr, M., Salama, Y., Abay, K. A., Abdelaziz, F., Zaccari, C., Akramkhanov, A., ... & Anarbekov, O. (2024). Harnessing digital innovations for climate action and market access: Opportunities and constraints in the CWANA region. Global Food Security, 41, 100763.

Sak, T., Mylko, I., Ivashko, O., Chulipa, I., Wołowiec, T., & Sokołowska-Woźniak, J. (2025). How the digital economy is revolutionizing marketing management and driving sustainable development. Sustainability, 17(3), 1130.

Sarker, I. H. (2022). AI-based modeling: techniques, applications and research issues towards automation, intelligent and smart systems. SN computer science, 3(2), 158.

Shahbazi, F., Shahbazi, S., & Zare, D. (2025). Losses in agricultural produce: Causes and effects on food security. Food and Energy Security, 14(3), e70086.

Silvestri, R., Adamashvili, N., Fiore, M., & Galati, A. (2023). How blockchain technology generates a trust-based competitive advantage in the wine industry: a resource based view perspective. European Business Review, 35(5), 713-736.

Witjaksono, J., Djaenudin, D., Fery Purba, S., Yulianti, A., Fadwiwati, A. Y., Muslimin, ... & Seerasarn, N. (2024). Corporate farming model for sustainable supply chain crude palm oil of independent smallholder farmers. Frontiers in Sustainable Food Systems, 8, 1418732.

Xia, L., Baghaie, S., & Sajadi, S. M. (2024). The digital economy: Challenges and opportunities in the new era of technology and electronic communications. Ain Shams Engineering Journal, 15(2), 102411.

Yogi, L. N., Thalal, T., & Bhandari, S. (2025). The role of agriculture in Nepal's economic development: Challenges, opportunities, and pathways for modernization. Heliyon, 11(2).

Zaman, K. (2022). Transformation of marketing decisions through artificial intelligence and digital marketing. Journal of Marketing Strategies, 4(2), 353-364.