Artificial Intelligence and Management Tools
DOI:
https://doi.org/10.37886/Keywords:
artificial intelligence, management tools, managerial judgment, dynamic capabilities, firm performance, data intensity, digital transformation, managementAbstract
Research Question (RQ):What is the relationship between artificial intelligence and management tools, and does artificial intelligence primarily function as a substitute for or a complement to management tools and managerial judgment?
Purpose:The purpose of the study was to examine the impact of artificial intelligence on management tools and to develop a conceptual model linking management tools, managerial judgment, dynamic capabilities, and firm performance.
Method:The research is based on a structured literature review covering management, management tools, artificial intelligence, and dynamic capabilities. Scientific articles, monographs, institutional reports, and previous empirical findings on management tools and business performance were analyzed. A conceptual model was developed through comparative analysis and theoretical synthesis.
Results:The study introduces the concept of management tool data intensity as a key determinant of AI support and substitution potential. A new taxonomy of management tools was developed based on data intensity, managerial judgment requirements, and expected AI impact. The proposed conceptual model suggests that management tools and artificial intelligence influence firm performance indirectly through managerial judgment and dynamic capabilities.
Organization:The findings help managers identify areas where artificial intelligence can effectively support decision-making and areas where managerial judgment remains essential for organizational success.
Society:The study contributes to a better understanding of responsible, transparent, and human-centered artificial intelligence adoption in organizations while emphasizing the continued importance of human judgment in strategic decision-making.
Originality:The originality of the study lies in the introduction of the concept of management tool data intensity, the development of a novel taxonomy of management tools, and the integration of management tools, artificial intelligence, managerial judgment, and dynamic capabilities into a unified conceptual framework.
Limitations/Future Research:The study is conceptual in nature and does not include empirical validation of the proposed model. Future research should empirically test the proposed relationships among artificial intelligence, managerial judgment, dynamic capabilities, and firm performance using SEM or PLS-SEM methodologies.
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