AI-Powered Marketing Evolution in Southeast Asia: A Transformative Research

Main Article Content

Asandra Addien
Ossama Lhachimi
Hassan El Assraoui
Annissa Novienningtyas

Abstract

Integration of Artificial Intelligence has allowed marketing to evolve business strategies worldwide and through that Southeast Asia has experienced unique dynamics in this regard. This study aims to investigate the impacts of AI on marketing as well as AI’s relationship with its consumers and how it influences perspectives and customer behaviors amongst the region’s youth. As Southeast Asia itself is a diverse landscape with rapid digitalization, we can view AI as a tool for driving business growth through competitive advantages.


Through this study, we explore the role of AI in marketing within South East Asia and gain understanding on how businesses integrate technology to achieve organizational objectives. Delving into attitudes and behaviors of consumers as well as entrepreneurs, this study uses a combination of qualitative research (through interviews) and secondary data to provide a comprehensive outlook on their transformative effects. Interview respondents consist of a mix between marketing experts and general consumers to get an understanding of the perspective of AI marketing both internally and externally.


Findings indicate a steady future for AI in the region, making constant comparisons with advancements in the West and exhibits trends that underline Southeast Asia’s acceptance towards AI in marketing and other business objectives. The research aims to contribute a deeper understanding of AI’s role in shaping the future of marketing strategies and how it can transform business landscapes in Southeast Asia

Downloads

Download data is not yet available.

Article Details

Section
Articles

References

Ardito, L., Messeni Petruzzelli, A., Panniello, U., & Claudio Garavelli, A. (n.d.). Towards industry 4.0: Mapping digital technologies for supply chain management-marketing integration. 2019.

Bettiol, M., & Capestro, M. (n.d.). INDUSTRY 4.0: THE STRATEGIC ROLE OF MARKETING.

Buestán, G., Cañizares, K., Camacho, C., & Suárez-Núñez, C. (2020a). Distribution trends in Industry 4.0: Case Study of a major soft drink multinational enterprise in Latin America.

Buestán, G., Cañizares, K., Camacho, C., & Suárez-Núñez, C. (2020b). Distribution trends in Industry 4.0: Case Study of a major soft drink multinational enterprise in Latin America. Logistics Journal : Nicht Referierte Veröffentlichungen, 2020(09). https://doi.org/10.2195/lj_NotRev_buestan_en_202009_01

Chatila, R., & Havens, J. C. (2019). The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems. In M. I. Aldinhas Ferreira, J. Silva Sequeira, G. Singh Virk, M. O. Tokhi, & E. E. Kadar (Eds.), Robotics and Well-Being (Vol. 95, pp. 11–16). Springer International Publishing. https://doi.org/10.1007/978-3-030-12524-0_2

Chen, C.-L. (2020). Cross-disciplinary innovations by Taiwanese manufacturing SMEs in the context of Industry 4.0. Journal of Manufacturing Technology Management, 31, 1145–1168. https://doi.org/10.1108/JMTM-08-2019-0301

Cockburn, I. M., Henderson, R., & Stern, S. (2018). The Impact of Artificial Intelligence on Innovation: An Exploratory Analysis. In The Economics of Artificial Intelligence: An Agenda (pp. 115–146). University of Chicago Press. https://www.nber.org/books-and-chapters/economics-artificial-intelligence-agenda/impact-artificial-intelligence-innovation-exploratory-analysis

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

De Bruyn, A., Viswanathan, V., Beh, Y. S., Brock, J. K.-U., & von Wangenheim, F. (2020). Artificial Intelligence and Marketing: Pitfalls and Opportunities. Journal of Interactive Marketing, 51, 91–105. https://doi.org/10.1016/j.intmar.2020.04.007

Dodeja, L., Tambwekar, P., Hedlund-Botti, E., & Gombolay, M. (2024). Towards the design of user-centric strategy recommendation systems for collaborative Human–AI tasks. International Journal of Human-Computer Studies, 184, 103216. https://doi.org/10.1016/j.ijhcs.2023.103216

Eriksson, T., Bigi, A., & Bonera, M. (2020). Think with me, or think for me? On the future role of artificial intelligence in marketing strategy formulation. The TQM Journal, 32(4), 795–814. https://doi.org/10.1108/TQM-12-2019-0303

Franchi Arromba, I., Stafford Martin, P., Cooper Ordoñez, R., Anholon, R., Simon Rampasso, I., Antonio Santa-Eulalia, L., William Batista Martins, V., & Luiz Gonçalves Quelhas, O. (n.d.). Industry 4.0 in the product development process: Benefits, difficulties and their impact on marketing strategies and operations. 2020.

Ganji, E. N., Shah, S., Coutroubis, A., & Gestring, I. (2018). Towards a Sustainable Demand Chain Framework: Successful Product Development Integration and Drivers. 2018 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD), 166–171. https://doi.org/10.1109/ITMC.2018.8691131

Kitsios, F., & Kamariotou, M. (2021). Artificial Intelligence and Business Strategy towards Digital Transformation: A Research Agenda. Sustainability, 13(4), Article 4. https://doi.org/10.3390/su13042025

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. https://doi.org/10.1108/JICES-05-2023-0068

Kunaver, M., & Požrl, T. (2017). Diversity in recommender systems – A survey. Knowledge-Based Systems, 123, 154–162. https://doi.org/10.1016/j.knosys.2017.02.009

Lobschat, L., Mueller, B., Eggers, F., Brandimarte, L., Diefenbach, S., Kroschke, M., & Wirtz, J. (2021). Corporate digital responsibility. Journal of Business Research, 122, 875–888. https://doi.org/10.1016/j.jbusres.2019.10.006

Mariani, M. M., Perez-Vega, R., & Wirtz, J. (2022). AI in marketing, consumer research and psychology: A systematic literature review and research agenda. Psychology & Marketing, 39(4), 755–776. https://doi.org/10.1002/mar.21619

McStay, A. (2018). Emotional AI: The Rise of Empathic Media. https://doi.org/10.4135/9781526451293

Mehdiabadi, A., Tabatabeinasab, M., Spulbar, C., Karbassi Yazdi, A., & Birau, R. (2020). Are We Ready for the Challenge of Banks 4.0? Designing a Roadmap for Banking Systems in Industry 4.0. International Journal of Financial Studies, 8(2), 32. https://doi.org/10.3390/ijfs8020032

Mikalef, P., Islam, N., Parida, V., Singh, H., & Altwaijry, N. (2023). Artificial intelligence (AI) competencies for organizational performance: A B2B marketing capabilities perspective. Journal of Business Research, 164, 113998. https://doi.org/10.1016/j.jbusres.2023.113998

Muscio, A., & Ciffolilli, A. (2019). What drives the capacity to integrate Industry 4.0 technologies? Evidence from European R&D projects. Economics of Innovation and New Technology, 29, 1–15. https://doi.org/10.1080/10438599.2019.1597413

Paschen, J., Kietzmann, J., & Kietzmann, T. (2019). Artificial intelligence (AI) and its implications for market knowledge in B2B marketing. Journal of Business & Industrial Marketing, 34. https://doi.org/10.1108/JBIM-10-2018-0295

Pearson Business School, West, A., Clifford, J., Pearson Business School, Atkinson, D., & Keele Business School. (2018). “Alexa, Build Me a Brand”—An Investigation into the I mpact of Artificial Intelligence on Branding. Journal of Business and Economics, 9(10), 877–887. https://doi.org/10.15341/jbe(2155-7950)/10.09.2018/005

Perc, M., Ozer, M., & Hojnik, J. (2019). Social and juristic challenges of artificial intelligence. Palgrave Communications, 5(1), Article 1. https://doi.org/10.1057/s41599-019-0278-x

Pusztahelyi, R. (2020). EMOTIONAL AI AND ITS CHALLENGES IN THE VIEWPOINT OF ONLINE MARKETING.

Rosário, A. T., & Dias, J. C. (2022). Industry 4.0 and Marketing: Towards an Integrated Future Research Agenda. Journal of Sensor and Actuator Networks, 11(3), Article 3. https://doi.org/10.3390/jsan11030030

Sabharwal, D., Sood, R., & Verma, M. (2022). Studying the relationship between artificial intelligence and digital advertising in marketing strategy. 16, 118–126.

Sirio, C., Egidi, G., Zambon, I., & Colantoni, A. (2019). Evaluating the Degree of Uncertainty of Research Activities in Industry 4.0. Future Internet, 11, 196. https://doi.org/10.3390/fi11090196

Sterev, N. (2017). Marketing leadership: The industry 4.0 need of next generation marketing. Trakia Journal of Science, 15(Suppl.1), 99–103. https://doi.org/10.15547/tjs.2017.s.01.018

Syam, N., & Sharma, A. (2018). Waiting for a sales renaissance in the fourth industrial revolution: Machine learning and artificial intelligence in sales research and practice. Industrial Marketing Management, 69. https://doi.org/10.1016/j.indmarman.2017.12.019

Technical University of Liberec, Faculty of Economy Department of Marketing and Trade, Ungerman, O., Dedkova, J., Technical University of Liberec, Faculty of Economy Department of Marketing and Trade, Gurinova, K., & Technical University of Liberec, Faculty of Economy Department of Marketing and Trade. (2018). The impact of marketing innovation on the competitiveness of enterprises in the context of industry 4.0. Journal of Competitiveness, 10(2), 132–148. https://doi.org/10.7441/joc.2018.02.09

Ungerman, O., & Dědková, J. (2019). Marketing Innovations in Industry 4.0 and Their Impacts on Current Enterprises. Applied Sciences, 9(18), Article 18. https://doi.org/10.3390/app9183685

IBM Global AI Adoption Index 2022. (2022).

Industry 4.0 Market Size & Share, Analysis Report 2024-2032. (n.d.). Global Market Insights Inc. Retrieved March 8, 2024, from https://www.gminsights.com/industry-analysis/industry-4-0-market

Social Media Success Is Hard to Attribute, Yet on The Rise. (2023, January 18). Marketing Essentials Lab. https://marketingessentialslab.com/social-media-success/

The rise of Industry 4.0 in 5 stats. (2022, October 20). IoT Analytics. https://iot-analytics.com/industry-4-0-in-5-stats/

Burgess, R. G. (2002). In the Field: An Introduction to Field Research. Routledge.

Qualitative research practice: A guide for social science students and researchers. (2003). Choice Reviews Online, 41(03), 41-1319-41–1319. https://doi.org/10.5860/CHOICE.41-1319