Transformation of Marketing Decisions through Artificial Intelligence and Digital Marketing

Authors

  • Khansa Zaman SZABIST, Islamabad, Pakistan Author

DOI:

https://doi.org/10.52633/jms.v4i2.210

Keywords:

Artificial Intelligence (AI), Consumer behavior, Digital Marketing, Big Data, Marketing Analytics

Abstract

Artificial Intelligence (AI) is ornamental to the strategic decisions of consumers and its competitive nature and has rapidly transformed the dynamics of the emerging digital world. The evolution of predictive marketing has increased the understating of consumer decision-making. Moreover, AI has enabled many businesses to predict big consumer data to fulfill customer expectations and provide customized products and services. AI’s role has been increased in operational marketing, such as design and selection of ads, customer targeting and customer analysis. Nevertheless, the role in strategic decision-making by employing machine learning techniques, knowledge representation, and computational intelligence improves efficacy. This article aims to provide a comprehensive understating of the role of AI in digital marketing to understand their target audience better. Secondly, it also accentuates the role of AI and predictive marketing in understanding complex consumer behavior by highlighting several solutions to predict the expectations of consumers. Moreover, the contribution of AI in managing customer relationships with an active role of managers is also one of the study's aims. The current study also discusses the future of AI in marketing and managers' role in utilizing disruptive technology. This paper's managerial implications are pertinent because deploying AI in competitive businesses is key to improving decision-making. 

Author Biography

  • Khansa Zaman, SZABIST, Islamabad, Pakistan

    Assistant Professor, Department of Management Sciences, Shaheed Zulfikar Ali Bhutto Institute of Science & Technology (SZABIST), Islamabad Campus. Pakistan.

References

Abrardi, L., Cambini, C., & Rondi, L. (2021). Artificial Intelligence, firms, and consumer behavior: A survey. Journal of Economic Surveys, 36(4), 969–991. https://doi.org/10.1111/joes.12455

Agrawal, A., Gans, J., & Goldfarb, A. (2018). Prediction machines: the simple economics of artificial intelligence. Harvard Business Press.

Analytics, M. (2016). The age of analytics: competing in a data-driven world. McKinsey Global Institute Research.

Artun, O., & Levin, D. (2015). Predictive marketing: Easy ways every marketer can use customer analytics and big data. John Wiley & Sons.

Bouchra, C. (2021). Etude de la dynamique de transmission du COVID-19 dans quelques pays (Doctoral dissertation, Abdelhafid boussouf university Centre mila).

Bughin, J., Seong, J., Manyika, J., Chui, M., & Joshi, R. (2018). Notes from the AI frontier: Modeling the impact of AI on the world economy. McKinsey Global Institute, 4.

Campbell, C., Sands, S., Ferraro, C., Tsao, H. Y. J., & Mavrommatis, A. (2020). From data to action: How marketers can leverage AI. Business Horizons, 63(2), 227-243. DOI: www.10.1016/j.bushor.2019.12.002

Campbell, H. A. (2020). Digital Creatives and the Rethinking of Religious Authority (Media, Religion and Culture) (1st ed.). Routledge. DOI: https://doi.org/10.4324/9781003045625

Davenport, T., & Kalakota, R. (2019). The potential for artificial intelligence in healthcare. Future healthcare journal, 6(2), 94. doi: 10.7861/futurehosp.6-2-94

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. DOI: https://doi.org/10.1007/s11747-019-00696-0

Dawar, N., & Bendle, N. (2018). Marketing in the age of Alexa. Harvard Business Review, 96(3), 80-86.

Dilmengani, C. (2021, January 1). AI-powered CRM Systems in 2021: In-Depth Guide. Retrieved from AI Multiple: https://research.aimultiple.com/crm-ai/

Gentsch, P. (2018). AI in Marketing, Sales, and Service: How Marketers without a Data Science Degree can use AI, Big Data and Bots (1st ed. 2019). Springer. DOI: https://doi.org/10.1007/978-3-319-89957-2

Gupta, N. (2020). How Does Digital Marketing Influence Consumers? Retrieved from https://candentseo.com/how-digital-marketing-affects-consumerbehaviour/

Hall, J. (2019). How artificial intelligence is transforming digital marketing. Hg. v. Forbes. Online verfugbar unter https://www. forbes. com/sites/forbesagencycouncil/2019/08/21/how-artificial-intelligence-istransforming-digital-marketing.

Hall, M. (2019). Artificial Intelligence and nuclear medicine. Nuclear Medicine Communications, 40(1), 1.

Huang, M. H., & Rust, R. T. (2020). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49(1), 30–50. https://doi.org/10.1007/s11747-020-00749-9

Jain, K. (2020). Artificial intelligence applications in handling the infectious diseases. Primary Health Care: Open Access, 1-3.

Jain, P., & Aggarwal, K. (2020). Transforming marketing with artificial intelligence. International Research Journal of Engineering and Technology, 7(7), 3964-3976.

Jarrahi, M. H. (2018). Artificial Intelligence and the future of work: Human-AI symbiosis in organizational decision making. Business Horizons, 61(4), 577–586. https://doi.org/10.1016/j.bushor.2018.03.007

Kardon, B. (2019). Five AI solutions transforming B2B marketing. MIT Sloan Management Review, 22(7), 15-24.

Kietzmann, J., Paschen, J., & Treen, E. (2018). Artificial Intelligence in Advertising. Journal of Advertising Research, 58(3), 263–267. https://doi.org/10.2501/jar-2018-035

Mariani, M. M., Perez‐Vega, R., & Wirtz, J. (2021). AI in marketing, consumer research and psychology: A systematic literature review and research agenda. Psychology &Amp; Marketing, 39(4), 755–776. https://doi.org/10.1002/mar.21619

Marr, B. (2018). How is AI used in education--Real world examples of today and a peek into the future. Forbes, Forbes Magazine, 25.

Marr, B., & Ward, M. (2019). Artificial Intelligence in Practice: How 50 Successful Companies Used AI and Machine Learning to Solve Problems (1st ed.). Wiley.

Miklosik, A., Kuchta, M., Evans, N., & Zak, S. (2019). Towards the Adoption of Machine Learning-Based Analytical Tools in Digital Marketing. IEEE Access, 7, 85705–85718. https://doi.org/10.1109/access.2019.2924425

Payne, A., & Frow, P. (2005). A Strategic Framework for Customer Relationship Management. Journal of Marketing, 69(4), 167–176. https://doi.org/10.1509/jmkg.2005.69.4.167

Petrescu, M., Krishen, A. S., Kachen, S., & Gironda, J. T. (2022). AI-based innovation in B2B marketing: An interdisciplinary framework incorporating academic and practitioner perspectives. Industrial Marketing Management, 103, 61–72. https://doi.org/10.1016/j.indmarman.2022.03.001

Ransbotham, S., Gerbert, P., Reeves, M., Kiron, D., & Spira, M. (2018). Artificial Intelligence in business gets real. MIT Sloan Management Review, 60280. Retrieved from MIT Sloan Management Review: https://sloanreview.mit.edu/projects/artificial-intelligence-in-business-gets-real/

Sameer, A. W. A. D. (2021). Investigation of chemical modification and enzymatic degradation of poly (vinyl alcohol)/hemoprotein particle composites. Journal of the Turkish Chemical Society Section A: Chemistry, 8(2), 651-658.

Schrage, M., & Kiron, D. (2018). Leading with next-generation key performance indicators. MIT Sloan Management Review, 16(June), 1-2.

Shaikh, S. (2022). Internet of Things: Designing Digital Eco-Systems for Competitive Tourism Related Micro and Small Enterprises in Pakistan. In Technology Application in Tourism in Asia (pp. 349-365). Springer, Singapore. DOI: https://doi.org/10.1007/978-981-16-5461-9_21

Singh, A., & Kushwaha, T. (2017). Role of customer relationship management (CRM) strategy in the development of business organization. International Journal in Management & Social Science, 5(1), 275-285.

Smith, K. (2007). What is digital marketing? Digital Marketing, 101.

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, 135-146.

Taddy, M. (2019). The Technological Elements of Artificial Intelligence (p. 61). Chicago, IL: University of Chicago Press.

US Bureau of Labor Statistics. (2020, September 01). Advertising, Promotions, and Marketing Managers: Occupational Outlook Handbook: U.S. Bureau of Labor Statistics. Retrieved from U.S. Bureau of Labor Statistics: https://www.bls.gov/ooh/management/advertising-promotions-and-marketing-managers.htm

Yang, F. X., Li, Y., Li, X., & Yuan, J. (2022). The beauty premium of tour guides in the customer decision-making process: An AI-based big data analysis. Tourism Management, 93, 104575. https://doi.org/10.1016/j.tourman.2022.104575

Zhang, H., & Song, M. (2022). How Big Data Analytics, AI, and Social Media Marketing Research Boost Market Orientation: Companies can use big data analytics, artificial Intelligence (AI), and social media marketing research to increase market orientation. Research-Technology Management, 65(2), 64-70. Doi: https://doi.org/10.1080/08956308.2022.2022907

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Published

30-05-2022

How to Cite

Transformation of Marketing Decisions through Artificial Intelligence and Digital Marketing. (2022). Journal of Marketing Strategies, 4(2), 353-364. https://doi.org/10.52633/jms.v4i2.210

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