Agility and Artificial Intelligence Adoption: Small vs. Large Enterprises

Maja  Rožman; Dijana Oreški; Katja  Crnogaj; Polona  Tominc

Maja Rožman
Dijana Oreški
Katja Crnogaj
Polona Tominc

Keywords: Firm performance, IT Management, Agility, Artificial intelligence, Slovenia

Abstract

This article presents the findings of a survey conducted in Slovenia, encompassing a random sample of 275 enterprises, to analyze the factors influencing the transition to an agile approach, the AI-supported organizational culture, AI-enabled workload reduction, and AI-enabled performance enhancement in small and large enterprises. The study investigates whether there are statistically significant differences between small and large enterprises in Slovenia regarding these aspects. These findings provide valuable insights into the distinct perspectives and priorities of small and large enterprises in Slovenia regarding agility and the adoption of AI technologies. The results highlight areas where small businesses may need additional support or targeted strategies to fully leverage the benefits of agility and AI. Policymakers and industry leaders can utilize these findings to promote tailored approaches that enhance agility and facilitate effective AI integration in both small and large enterprises, ultimately contributing to the growth and competitiveness of the Slovenian business landscape

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Author Biographies

Maja Rožman

University of Maribor, Faculty of Economics and Business, Razlagova 14, 2000 Maribor, Slovenia
E-mail: maja.rozman1@um.si

Dijana Oreški

University of Zagreb, Faculty of organization and informatics Varaždin, Pavlinska 2, 42000 Varaždin, Croatia
E-mail: dijoresk@foi.hr

Katja Crnogaj

University of Maribor, Faculty of Economics and Business, Razlagova 14, 2000 Maribor, Slovenia
E-mail: katja.crnogaj@um.si

Polona Tominc

University of Maribor, Faculty of Economics and Business, Razlagova 14, 2000 Maribor, Slovenia
E-mail: polona.tominc@um.si

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