Aug 2026· Devotion : Journal of Research and Community Service· 0 citations· 19 references
TL;DR
The findings indicate that organizations successfully integrating AI into their core business strategies experience improvements in operational efficiency, enhanced customer satisfaction, and increased business performance.
Abstract
This study aims to analyze the role of Artificial Intelligence (AI) in driving digital business transformation through a systematic literature review approach. Digital business transformation has become increasingly essential for organizations seeking to maintain competitiveness in the era of Industry 4.0 and the emerging Industry 5.0 paradigm. As a core component of technological advancement, AI provides advanced capabilities in data processing, process automation, predictive analysis, and the generation of valuable business insights. Through an analysis of 25 selected scientific publications from reputable academic databases, this study identifies four main dimensions of AI’s role in digital business transformation: (1) intelligent business process automation, (2) data-driven personalization of customer experiences, (3) supply chain and operational optimization, and (4) AI-based strategic decision-making. The findings indicate that organizations successfully integrating AI into their core business strategies experience improvements in operational efficiency, enhanced customer satisfaction, and increased business performance. However, challenges such as digital talent shortages, implementation costs, data privacy concerns, ethical considerations, and resistance to organizational change remain significant barriers. This study contributes to a comprehensive understanding of how AI is reshaping the contemporary digital business landscape and provides practical insights for business leaders in developing effective digital transformation strategies.
In the e-commerce and financial industries, AI has been deployed to achieve better customer experience, efficient supply chain management, improved operational efficiency, and reduced mate size, with the main goal of designing standard, reliable product quality control methods.
H. F. Kebria, Batool Soltanzadeh· South Asian Journal of Marke...· 0 citations
The results show that AI has progressed from a basic operational automation solution to a key organizational capability which supports the processes of digitalization, improves business performance, and provides sustainable competitive advantage.
W. Akram, Zeeshan Ali, Alia Safdar et al.· Priviet Social Sciences Jour...· 0 citations
Key prerequisites for the successful integration of artificial intelligence solutions are formulated, and a conceptual four-layer integration model is proposed, encompassing the data, analytical, decision-making, and managerial levels.
Н. К. Максишко, М. С. Нагурний, S. Cheverda· Financial Strategies of Inno...· 0 citations
Background: The transformation of businesses resulting from the implementation of artificial intelligence (AI) is currently underway. A research gap lies in the absence of research examining the impact of AI on logistics companies from the perspective of its effect on their business models. Methods: Logistics companies...
Roman Chinoracký, Rebecca Neumannová, Natalia Stalmasekova et al.· Logistics· 0 citations
The study concludes that enterprises combining technological development with organizational transformation and workforce development are better positioned to achieve sustainable competitive advantage through the effective adoption of Artificial Intelligence.
Jakub Dębicki· Communications of Internatio...· 0 citations
The rapid expansion of digital technologies has transformed the way organizations generate, manage, and utilize information for decision-making. Business Intelligence (BI) has emerged as a critical organizational capability that enables enterprises to convert large volumes of raw data into meaningful insights that supp...
Syam Kumar Kunchapu· International journal of com...· 0 citations
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