@ARTICLE{Maletic_Damjan_Drivers_2023,
 author={Maletic, Damjan and Grabowska, Marta and Maletic, Matjaž},
 volume={vol. 14},
 number={No 1},
 pages={118-126},
 journal={Management and Production Engineering Review},
 howpublished={online},
 year={2023},
 publisher={Production Engineering Committee of the Polish Academy of Sciences, Polish Association for Production Management},
 abstract={This paper aims to improve understanding of the drivers and barriers to digital transformation in asset management. Accordingly, this paper contributes to the literature by conducting a qualitative Delphi study with 15 experts (including academia, consultancy and industry) to identify, validate, and classify the drivers and barriers affecting digital transformation in asset management. As a result of the experts’ interactions, 20 barriers were identified. The main barriers to digital transformation in asset management are the following: Misunderstanding of the strategic importance of asset management, no clear vision/strategy, existing mindset and culture, inadequate asset management system, lack of understanding of digital trends, and lack of employee knowledge and skills. The study also highlights 12 drivers that are critical to the digital transformation of asset management. These include cost reductions, opportunities in condition monitoring of assets, expected benefits in asset management processes, expected benefits in risk management and others.},
 type={Article},
 title={Drivers and Barriers of Digital Transformation in Asset Management},
 URL={http://journals.pan.pl/Content/126805/PDF/c10_871_106.pdf},
 doi={10.24425/mper.2023.145370},
 keywords={Asset management, digital transformation, Drivers, barriers, Delphi},
}