Artificial Intelligence as a Tool Supporting Organizational Entrepreneurship – Theoretical Problems and Case Analysis
Artificial Intelligence as a Tool Supporting Organizational Entrepreneurship – Theoretical Problems and Case Analysis

Summary/Abstract: Purpose: This article aims to present the results of qualitative research on the analysis of the relationship between artificial intelligence (AI) and organizational entrepreneurship. The purpose of this research is to determine, in terms of qualitative analysis, what kind of relationships are taking place. AI is part of a new trend in the development of digital technology, defined by the acronym DARQ. Its elements are the following digital systems: Distributed Ledger, Artificial Intelligence, Extended Reality, Quantum Computing. Methodology: The research procedure consists of the following stages: a literature analysis, qualitative research in the focus group, evaluation by experts, and the presentation of results, conducting three case analyses from various industries during the activity, which present the extent to which AI affects organizational entrepreneurship. Results: The research showed user support for the use of AI technology, especially in the implementation of procedures that support organizational entrepreneurship. The AI applied in the organization enables us to obtain effects on such elements of organizational entrepreneurship as creating new strategic solutions, evaluating these proposals, and monitoring the approach of the organization’s management through the use of tools such as a management cockpit and simulation models. The use of artificial intelligence in a modern organization is necessary to improve multifaceted and interdisciplinary processes that support organizational entrepreneurship. The use of AI shows the usefulness of digital technology in operational and strategic management. Limitations: Due to the lack of empirical, especially quantitative, materials concerning the application of all levels of categorization of the use of artificial intelligence in the discussed cases, supplementary research is required to provide a more comprehensive analysis of its applications. Originality/value: The thesis was justified that IT systems containing AI technology solutions are helpful in the implementation of procedures supporting organizational entrepreneurship. The thesis is complemented by a study consisting of examining the truthfulness of the statement that the consequence of using AI is to obtain in an organization the effects of both generating proposals for new development solutions and verifying the feasibility of the implementation of the procedures proposed by the organization management. The conducted research focuses on the assessment of the relationship between advanced information technologies and organizational entrepreneurship.

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