Communication systems in business: the use of artificial intelligence
https://doi.org/10.21453/2311-3065-2023-11-2-139-149
Abstract
Modern digital technologies and, in particular, artificial intelligence technologies are changing our understanding of the ways and means of entrepreneurial activity. The penetration of artificial intelligence into business processes is becoming inevitable. In the short term, the degree of participation in entrepreneurship of a person and programs that determine consumer behavior using digital algorithms will shift towards the latter. To achieve business results, an entrepreneur needs to understand both the essence of communication systems and the “way of thinking” of artificial intelligence, as well as the general context of interaction with consumers. This article analyzes the process of communication in the system of entrepreneurial activity, as well as the use of artificial intelligence in it. The author systematizes his own experience in the field of advising entrepreneurs, identifies the basic characteristics of business communication systems and the possibility of using artificial intelligence technologies in them, and determines the role of context in managing business processes.
About the Author
J. Kaplan
Consulting Company “Kaplan Research Company”
Estonia
Estonia
Yaroslav Kaplan – President of the consulting company “Kaplan Research Company”, author of the research project “Business Intelligence IQ”
10917, Tallinn, Rännaku pst, 12.
References
1. Barkovich A. (2019). Informational linguistics: computer, Internet, artificial intelligence and language. In: International Conference on Artificial Intelligence in Information and Communication. IEEE. P. 008-013.
2. Fountaine T., McCarthy B., Saleh T. (2021). Getting AI to Scale [access mode]: https://hbr.org/2021/05/getting-ai-to-scale
3. Friedman M. (1953). The Methodology of Positive Economics. In: M. Friedman Essays in Positive Economics. Chicago: University of Chicago Press. P. 3-43.
4. Goddard K., Roudsari A., Wyatt J.C. (2011). Automation bias – a hidden issue for clinical decision support system use. Studies in Health Technology and Informatics. No. 164. P. 17-22. Goethe I. (1964). Selected Philosophical Works (in Rus.).
5. Gorwa R., Guilbeault D. (2018). Understanding bots for policy and research: challenges, methods, and solutions. [access mode]: https://arxiv.org/pdf/1801.06863v1.pdf.
6. Gurov F.N., Kaplan Ya., (2023). “Business intelligence” and its role in various activities. Values and meanings. No. 2 (84). P. 125-138 (in Rus.).
7. Ha T., Sah Y.J., Park Y., Lee S. (2020). Examining the effects of power status of an explainable artificial intelligence system on users’ perceptions. Behaviour & Information Technology. P. 1-13.
8. Hasan R., Weaven, S., Thaichon P. (2021). Blurring the Line between Physical and Digital Environment: The Impact of Artificial Intelligence on Customers' Relationship and Customer Experience. In: Thaichon P. and Ratten V. (ed.) Developing Digital Marketing. Emerald Publishing Limited, Bingley. P. 135-153. https://doi.org/10.1108/978-1-80071-348-220211008
9. Johns G. (2006). The Essential Impact of Context on Organizational Behavior. The Academy of Management Review. No. 31 (2). P. 386-408 [access mode]: http://www.jstor.org/stable/20159208
10. Kai-Fu L. (2019). The superpowers of artificial intelligence. China, Silicon Valley and the New World Order. Moscow: Mann, Ivanov and Ferber (in Rus.).
11. 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. No. 62 (1). P. 15-25.
12. Kaplan Y. (2022). Business incognita: how to expand the boundaries of entrepreneurial thinking. Moscow: Alpina Publisher (in Rus.).
13. Miller K. (2005). Communication theories : perspectives, processes, and contexts, 2nd ed. Boston: McGraw-Hill.
14. Osipov G.S. (2001). Artificial intelligence: the state of research and a look into the future. News of artificial intelligence. No. 1. P. 3-13 (in Rus.).
15. Rousseau D.M., Fried Y. (2001). Location, location, location: Contextualizing organizational research. Journal of Organizational Behavior. No. 22 (1). P. 1-13.
16. Russel S., Norvig P. (2020). Artificial intelligence: a modern approach. New Jersey: Prentice Hall. Vasiliev L.M. (1990). Modern linguistic semantics. M.: Higher school (in Rus.).
17. Woodruff R. (1997). Customer value: The next source for competitive advantage. Academy of Marketing Science. Journal. No. 25 (2). P. 139-153.
Review
For citations:
Kaplan J. Communication systems in business: the use of artificial intelligence. Communicology. 2023;11(2):139-149. (In Russ.) https://doi.org/10.21453/2311-3065-2023-11-2-139-149
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