Artificial Intelligence in Business Software: New Challenges and Opportunities for Management

Olja Krčadinac; Dragana Đokić; Tijana Đukić; Željko Stanković

doi:10.62907/eemr250402001k

Authors

Olja Krčadinac The University “Union - Nikola Tesla”, Faculty of Informatics and Computer Science, 11000 Belgrade, Cara Dusana 62-64, Republic of Serbia Author https://orcid.org/0000-0002-6299-371X
Dragana Đokić The University “Union - Nikola Tesla”, Faculty of Informatics and Computer Science, 11000 Belgrade, Cara Dusana 62-64, Republic of Serbia Author https://orcid.org/0000-0003-0039-7370
Tijana Đukić University Business Academy in Novi Sad, Faculty of Applied Management, Economics and Finance (MEF) 11000 Belgrade, Jevrejska 24/1, Republic of Serbia Author https://orcid.org/0000-0001-6990-3716
Željko Stanković Pan-European University APEIRON, Faculty of Information Technology 78 000 Banja Luka, Pere Krece 13, Bosnia and Herzegovina Author https://orcid.org/0000-0002-9893-9088

DOI:

https://doi.org/10.62907/eemr250402001k

Keywords:

Artificial Intelligence, Business Software, Management, Decision-Making, Digital Transformation, Automation, AI Challenges

Abstract

The integration of Artificial Intelligence (AI) into business software solutions is reshaping the way modern organizations operate and make decisions. From enterprise resource planning (ERP) and customer relationship management (CRM) systems to business intelligence (BI) platforms, AI technologies are increasingly embedded to enhance automation, data analysis, and user experience. This paper explores the key AI technologies applied in business software, such as machine learning, natural language processing, and predictive analytics, and examines their potential to improve managerial efficiency and strategic decision-making. At the same time, the paper discusses emerging challenges, including technological complexity, ethical concerns, and the need for digital competence among managers. By providing a comprehensive overview of the opportunities and risks associated with AI-enabled business software, the study contributes to a deeper understanding of how AI is transforming managerial practices in the digital age.

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