International Journal of Industrial Engineering and Management

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Forthcoming
Original Research Article

Employee Perceptions of BI and AI Tools for Service Transformation: Evidence from the Serbian Airline and Hotel Industries

Tamara Gajić
Geographical Institute “Jovan Cvijić” SASA, Belgrade, Serbia
Andrea Ivanišević
Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia
Snežana Knežević
Academy of Applied Studies Polytechnic, Belgrade, Serbia

Published 2025-05-21

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Keywords

  • business intelligence,
  • artificial intelligence,
  • airline,
  • hotels,
  • Republic of Serbia

How to Cite

Gajić, T., Ivanišević, A., & Knežević, S. (2025). Employee Perceptions of BI and AI Tools for Service Transformation: Evidence from the Serbian Airline and Hotel Industries. International Journal of Industrial Engineering and Management, article in press. https://doi.org/10.24867/IJIEM-385

Abstract

This study explores the perception of the transformative impact of Business Intelligence (BI) and Artificial Intelligence (AI) on the service sector by employees in an airline and hotels in Serbia. Four key factors were identified: business optimization, service personalization, efficiency of resource management, and business transformation. Data were collected through a survey of employees in these sectors, and the results were analyzed using structural modeling. The findings indicate that employees perceive a significant positive impact of BI and AI on business transformation, particularly in terms of improving operational efficiency, increasing customer satisfaction, and enhancing business sustainability. This study highlights the importance of implementing BI and AI technologies in advancing the service sector, providing innovative approaches to optimizing business processes and personalizing services. These findings contribute to a better understanding of how modern tools and technologies can improve the performance and competitiveness of service enterprises in Serbia.

Article history: Received (December 13, 2024); Revised (April 2, 2025); Accepted (April 22, 2025); Published online (May 21, 2025)

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