Explores the impact of decision-making styles on business performance linked to technology in Hungarian firms, suggesting analytical styles enhance outcomes.
With the development of artificial intelligence, human-machine value co-creation can increasingly contribute to business performance. However, prior research on the interactions between technological transformation and human aspects of corporate decision making is surprisingly limited. By examining whether intuitive or analytic features of managerial decision making style moderate the link between technological transformation (including AI applications) and business performance, our paper aims to contribute to filling this gap. To explore the research questions, data from 335 Hungarian medium-sized and large firms are analysed with regression modelling. Empirical results suggest that, as opposed to a nonsignificant intuitive decision style effect, analytic decision style has a significantly positive moderating effect in the link between technological transformation level and business performance. These results add to previous literature on business-related technology development and also highlight the uniqueness of human intuition in corporate decision making.
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Szántó et al. (2026) studied this question.
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