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The Impact of Machine Intelligence on the Culture of Intercorporate Communication
Demianenko T. I., Malinnikov P. A.

Demianenko, Tetiana I., and Malinnikov, Pavlo A. (2025) “The Impact of Machine Intelligence on the Culture of Intercorporate Communication.” Business Inform 3:337–343.
https://doi.org/10.32983/2222-4459-2025-3-337-343

Section: Management and Marketing

UDC 004.8:005.72:005.93

Abstract:
The aim of the article is to investigate the transformational impact of machine intelligence on the culture of intercorporate communication, as well as to analyze new forms of digital interaction between companies. Analyzing the impact of machine intelligence, it should be noted that the integration of intelligent technologies fundamentally transforms the nature and content of interactions between organizations. The use of artificial intelligence systems contributes to the automation of communication processes, increases the efficiency of information exchange, and fosters the formation of new norms and values in corporate interaction. Machine intelligence not only optimizes the technical aspects of data exchange but also influences the ethical, behavioral, and cultural components of intercorporate cooperation. As a result, the structure of communication models changes, and new approaches to trust, transparency, and mutual responsibility among participants in organizational interaction are formed. It is proved that the integration of machine intelligence, particularly large language models and autonomous function calling mechanisms, contributes to the acceleration of information exchange, increased operational transparency, and improved data management efficiency, while also raising new questions regarding privacy protection and ethics. As a result of the research, a conceptual model has been developed that integrates technological, organizational, and ethical factors to optimize intercorporate communication processes. The significance of modern machine intelligence technologies as a tool for transforming traditional communication strategies has been revealed, ensuring a more flexible, faster, and personalized information exchange between organizations. Special attention has been paid to how integrated solutions based on natural language command processing simplify data exchange, accelerate response to inquiries, and ensure better coordination in the fields of marketing and logistics.

Keywords: intercorporate communication, LLM agents, autonomous function calling, artificial intelligence, machine learning, business processes, digital economy.

Fig.: 1. Bibl.: 12.

Demianenko Tetiana I. – Candidate of Sciences (Economics), Associate Professor, Associate Professor, Department of Economics and Management, Educational and Scientific Institute "Ukrainian Engineering and Pedagogical Academy" of V. N. Karazin Kharkov National University (16 Unіversytetska Str., Kharkіv, 61003, Ukraine)
Malinnikov Pavlo A. – Applicant, Department of Economics and Management, Educational and Scientific Institute "Ukrainian Engineering and Pedagogical Academy" of V. N. Karazin Kharkov National University (16 Unіversytetska Str., Kharkіv, 61003, Ukraine)
Email: [email protected]

List of references in article

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