Improving Approaches to Organizing Competitive Intelligence Activities

Artemy A. Stenin ()
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Artemy A. Stenin: Synergy University; Hyundai Motor CIS, LLC

Journal of Modern Competition, 2023, vol. 17, issue 6, 18-29

Abstract: The relevance of the study lies in the need to implement competitive intelligence processes in an organization in view of the constantly growing level of competition in order to ensure economic stability. Currently, in the scientific literature, there are no clear recommendations for organizing these processes, and the proposed models of traditional organizational structures have a number of disadvantages. At the same time, it is important to remove a large number of factors that influence the decision to create a full-time competitive intelligence unit, such as company size, financial capabilities and the level of industry competition. The purpose of the study is to characterize existing models of organizing processes for conducting competitive intelligence and propose our own approach to the implementation of these processes. The main task is to develop a model for organizing competitive intelligence activities. The article pays special attention to the analysis of the relationship between the frequency of competitive intelligence and the results of the operating activities of organizations, and draws conclusions about the main problems of introducing the practice of conducting competitive intelligence at the present stage. During the study, general scientific methods were used, such as analysis, synthesis, induction and deduction. As a result of the study, information on available approaches to the implementation of competitive intelligence processes is summarized and their characteristics are given, a model for organizing competitive intelligence activities using the scrum method and an automated platform for collecting information about the external and internal environment is proposed.

Keywords: organizational management structure; competition; competitive intelligence; scrum method; automation of information collection (search for similar items in EconPapers)
Date: 2023
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DOI: 10.37791/2687-0657-2023-17-6-18-29

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