communicologyКоммуникологияCommunicology2311-30652311-3332МАК10.21453/2311-3065-2023-11-2-139-149communicology-340Research ArticleСОЦИАЛЬНАЯ СТРУКТУРА, СОЦИАЛЬНЫЕ ИНСТИТУТЫ И ПРОЦЕССЫSOCIAL STRUCTURE, SOCIAL INSTITUTIONS AND PROCESSESКоммуникация в предпринимательской деятельности: использование искусственного интеллектаCommunication systems in business: the use of artificial intelligenceКапланЯ.KaplanJ.

Ярослав Каплан – президент консалтинговой компании «Kaplan Research Company», автор исследовательского проекта «Бизнес Интеллект IQ»

10917,  г. Таллинн, Rännaku pst, 12

Yaroslav Kaplan – President of the consulting company “Kaplan Research Company”, author of the research project “Business Intelligence IQ”

10917, Tallinn, Rännaku pst, 12.

jaroslavs.kaplans@gmail.comКонсалтинговая компания «Kaplan Research Company»ЭстонияConsulting Company “Kaplan Research Company”Estonia202329062023112139149Copyright © Каплан Я., 20232023Каплан Я.Kaplan J.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.communicology.ru/jour/article/view/340

Современные цифровые технологии и, в частности, технологии искусственного интеллекта изменяют наше представление о способах и средствах предпринимательской деятельности. Проникновение искусственного интеллекта в бизнес-процессы становится неизбежным. В ближайшей временной перспективе степень участия в предпринимательстве человека и программ, определяющих по цифровым алгоритмам потребительское поведение, будет смещаться в сторону последних. Для достижения высоких результатов в бизнесе предпринимателю необходимо понимать как суть коммуникационных систем и «образ мышления» искусственного интеллекта, так и общий контекст взаимодействия с потребителями. В данной статье анализируется процесс коммуникации в системе предпринимательской деятельности, а также использование в ней искусственного интеллекта. Автором систематизирован собственный опыт в сфере консультирования предпринимателей, выявлены некоторые характеристики коммуникационных систем предпринимательской деятельности и возможности применения в них технологий искусственного интеллекта, определена роль контекста в управлении бизнес-процессами.

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.

бизнесбизнес-коммуникацииискусственный интеллектбизнес- интеллектконтекст взаимодействияbusinessbusiness communicationsartificial intelligencebusiness intelligenceinteraction contextReferencesВасильев Л.М. (1990). Современная лингвистическая семантика. М.: Высшая школа. Гёте И. (1964). Избранные философские произведения.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.Гуров Ф.Н., Каплан Я., (2023). «Бизнес-интеллект» и его роль в различных видах деятельности // Ценности и смыслы. № 2 (84). С. 125-138.Fountaine T., McCarthy B., Saleh T. (2021). Getting AI to Scale [access mode]: https://hbr.org/2021/05/getting-ai-to-scaleКай-Фу Л. (2019). Сверхдержавы искусственного интеллекта. Китай, Кремниевая долина и новый мировой порядок. М.: Манн, Иванов и Фербер.Friedman M. (1953). The Methodology of Positive Economics. In: M. Friedman Essays in Positive Economics. Chicago: University of Chicago Press. P. 3-43.Каплан Я. (2022). Бизнес incognita: как расширить границы предпринимательского мышления. М.: Альпина Паблишер.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.).Осипов Г.С. (2001). Искусственный интеллект: состояние исследований и взгляд в будущее // Новости искусственного интеллекта. № 1. С. 3-13.Gorwa R., Guilbeault D. (2018). Understanding bots for policy and research: challenges, methods, and solutions. [access mode]: https://arxiv.org/pdf/1801.06863v1.pdf.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.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.).Fountaine T., McCarthy B., Saleh T. (2021). Getting AI to Scale [access mode]: https://hbr.org/2021/05/getting-ai-to-scaleHa 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.Friedman M. (1953). The Methodology of Positive Economics. In: M. Friedman Essays in Positive Economics. Chicago: University of Chicago Press. P. 3-43.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/10.1108/978-1-80071-348-220211008Goddard 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.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/20159208Gorwa R., Guilbeault D. (2018). Understanding bots for policy and research: challenges, methods, and solutions. [access mode]: https://arxiv.org/pdf/1801.06863v1.pdf.Kai-Fu L. (2019). The superpowers of artificial intelligence. China, Silicon Valley and the New World Order. Moscow: Mann, Ivanov and Ferber (in Rus.).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.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.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/10.1108/978-1-80071-348-220211008Kaplan Y. (2022). Business incognita: how to expand the boundaries of entrepreneurial thinking. Moscow: Alpina Publisher (in Rus.).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/20159208Miller K. (2005). Communication theories : perspectives, processes, and contexts, 2nd ed. Boston: McGraw-Hill.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.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.).Miller K. (2005). Communication theories : perspectives, processes, and contexts, 2nd ed. Boston: McGraw-Hill.Rousseau D.M., Fried Y. (2001). Location, location, location: Contextualizing organizational research. Journal of Organizational Behavior. No. 22 (1). P. 1-13.Rousseau D.M., Fried Y. (2001). Location, location, location: Contextualizing organizational research. Journal of Organizational Behavior. No. 22 (1). P. 1-13.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.).Russel S., Norvig P. (2020). Artificial intelligence: a modern approach. New Jersey: Prentice Hall.Woodruff R. (1997). Customer value: The next source for competitive advantage. Academy of Marketing Science. Journal. No. 25 (2). P. 139-153.Woodruff R. (1997). Customer value: The next source for competitive advantage. Academy of Marketing Science. Journal. No. 25 (2). P. 139-153Woodruff R. (1997). Customer value: The next source for competitive advantage. Academy of Marketing Science. Journal. No. 25 (2). P. 139-153

The authors declare that there are no conflicts of interest present.