Robots as a catalyst for Marketing automation: Potential and limitations
Abstract
In a world full of technological advancements, change is truly inevitable in every
segment of everyday life. Marketing is synonymous with innovation and change. Technological
advancements and digital transformation have fundamentally changed the way businesses
operate. Rapid automation and the integration of artificial intelligence (AI) have become
fundamental strategies for optimizing and redefining business models. Modern machine
intelligence, including robots, significantly impacts the lives of people around the world. Robots
are increasingly being integrated into marketing as part of innovative solutions to improve
services and improve efficiency. The use of robots in marketing opens up new opportunities for
automation, personalization, and improving the user experience. In this context, it is necessary
to critically analyze the role that robots play in the implementation of marketing and their ability
to transform the conventional business model. This paper aims to explore the effects of
implementing robots in marketing processes, focusing on their impact on efficiency, productivity,
and customer satisfaction. The research will be based on primary and secondary data sources
in order to collect relevant information to meet the research objectives. The data analysis shows
that adaptation to new technologies is inevitable and should be realized gradually. The results
indicate that robots have both positive and negative effects in the implementation in marketing.
Although there are concerns about their impact on jobs, robots are proving to be efficient,
reliable and innovative tools for improving business processes.
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References
Davenport, T. H., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will impact the future of marketing. Journal of the Academy of Marketing Science, 48(1), 24–42.
Ghosh, S., Shankar, R., & Sinha, S. (2020). AI and robotics in marketing: Current trends and future prospects. Journal of Business Research, 109, 324–335.
Gnewuch, U., Morana, S., & Maedche, A. (2017). Towards designing cooperative and social conversational agents for customer service. In Proceedings of the 38th International Conference on Information Systems (ICIS).
Grewal, D., Roggeveen, A. L., & Nordfält, J. (2020). The future of retailing. Journal of Retailing, 96(3), 293–306.
Gursoy, D., Chi, C. G., & Lu, L. (2019). AI and robotics: A disruptive force for the hospitality industry?
Journal of Hospitality Marketing & Management, 28(4), 529–550.
Hu, X., Yang, J., & Li, X. (2020). Social interaction and consumer behavior in the age of artificial intelligence: The case of chatbot. Journal of Business Research, 108, 1–10.
Huang, M.-H., & Rust, R. T. (2018). Artificial intelligence in service. Journal of Service Research, 21(2), 155–172.
Jouzdani, S., Ghasemaghaei, M., & Seitz, J. (2020). Chatbots in marketing: A systematic review and research agenda. Journal of Business Research, 109, 330–338.
Kalyanaraman, S., & Sundar, S. S. (2020). Cognitive processing of brand messages in digital environments: Exploring the role of artificial intelligence in marketing. Journal of Advertising, 49(1), 1–19
Kaplan, A., & Haenlein, M. (2019). Siri, Siri in my hand, who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15–25.
Kramer, M., Duffy, B. E., & Suler, J. (2019). Humanlike robots in marketing: What matters and why.
Journal of Marketing Theory and Practice, 27(2), 186–200.
Lu, V. N., Wirtz, J., Kunz, W., Paluch, S., Gruber, T., & Martins, A. (2020). Service robots, customers and service employees: What can we learn from the academic literature and where are the gaps? Journal of Service Theory and Practice, 30(3), 361–391.
Malthouse, E. C., Haenlein, M., & Bielefeldt, T. (2019). Digital marketing automation and the role of data in marketing decision making. Journal of Business Research, 104, 270–278.
Shumanov, M., & Johnson, L. W. (2021). The effects of AI chatbot disclosure on customer responses to service failure. Journal of Retailing and Consumer Services, 59, 102384.
Tambe, P., Hossain, M., & Cao, Y. (2020). Artificial intelligence in marketing.
Wirtz, J., Zeithaml, V. A., & Gallerand, T. (2018). Technology-enabled service innovation: The role of automation in service quality and customer experience. Journal of Service Management, 29(3), 354–379.
Chaffey, D. (2019). Digital marketing: Strategy, implementation, and practice (7th ed.). Pearson Education.
Wirtz, J., Patterson, P. G., Kunz, W. H., Gruber, T., Lu, V. N., Paluch, S., & Martins, A. (2018). Brave new world: Service robots in the frontline. Journal of Service Management, 29(5), 907–931.
