UPCOMING DIGITAL TRANSFORMATION AND ARTIFICIAL INTELLIGENCE TRENDS IN THE PUBLIC SECTOR
Milja Orlandic (),
Tijana Ðukic () and
Marija Mladenovic ()
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Milja Orlandic: PhD student; University Business Academy in Novi Sad, Faculty of Applied Management, Economics and Finance, Belgrade, Serbia
Tijana Ðukic: Assistant Professor; University Business Academy in Novi Sad, Faculty of Applied Management, Economics and Finance, Belgrade, Serbia
Marija Mladenovic: PhD student; University Business Academy in Novi Sad, Faculty of Applied Management, Economics and Finance, Belgrade, Serbia
REVISTA ADMINISTRATIE SI MANAGEMENT PUBLIC, 2024, vol. 2024, issue 42, 45-59
Abstract:
Robotic Process Automation (RPA) continues to be recognized in the field of digital transformation due to its capacity to boost productivity, enhance quality, and elevate employee satisfaction. Combining RPA with artificial intelligence and machine learning enhances operational efficiency, reduces costs, and enhances performance. This article employs the Piprecia method to determine the crucial factors for successfully building a Robotic Process Automation (RPA) platform. The analysis focuses on matters such as technological framework, compatibility, employee learning, adaptability, and ability to expand. Findings provide strategic recommendations for the effective, practical, and customized implementation of RPA platforms in the public sector.
Keywords: RPA; AI; PIPRECIA; public sector. (search for similar items in EconPapers)
JEL-codes: C44 O30 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:rom:rampas:v:2024:y:2024:i:42:p:45-59
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