Harnessing AI for business transformation: strategies for effective implementation and market advantage

Jakub  Kubiczek; Elżbieta Roszko-Wójtowicz; Julianna Koczy; Izabela Waszkiewicz; Klaudia Woś

doi:https://doi.org/10.59139/stattrans-2025-022

Harnessing AI for business transformation: strategies for effective implementation and market advantage

Jakub Kubiczek University of Economics in Katowice, Katowice, Poland ORCID:https:// orcid.org/0000-0003-4599-4814 , Elżbieta Roszko-Wójtowicz University of Lodz, Lodz, Poland ORCID:https://orcid.org/0000-0001- 9337-7218 , Julianna Koczy University of Economics in Katowice, Katowice, Poland ORCID:https://orcid.org/ 0009-0000-8266-4019 , Izabela Waszkiewicz Independent researcher, Poland ORCID:https://orcid.org/0009-0002-8700-7370 , Klaudia Woś University of Economics in Katowice, Katowice, Poland ORCID:https:// orcid.org/0009-0008-0545-4446 Statistics in Transition new series, vol. 26, 2025, 2, pages: 199-213 Published online: 13 June 2025 https://doi.org/10.59139/stattrans-2025-022 Citation: Kubiczek J., Roszko-Wójtowicz E., Koczy J., Waszkiewicz I., Woś K., 2025. Harnessing AI for Business Transformation: Strategies for Effective Implementation and Market Advantage. Statistics in Transition new series, 26(2), pp.199-213; https://doi.org/10.59139/stattrans-2025-022

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ABSTRACT

The rapid digitalization of consumer behavior presents businesses with unprecedented opportunities and challenges. Artificial Intelligence (AI) has emerged as a key driver of efficiency, enabling companies to analyze vast amounts of consumer data, personalize experiences and enhance decision-making processes. The paper aims to examine how AI-driven tools contribute to business transformation, focusing on their impact on operational efficiency, customer engagement and market competitiveness. The research employs a multi-method approach, including literature reviews, secondary data analysis and case studies of AI implementation in enterprises operating on the Polish market. Findings highlight the dual nature of AI adoption: while it enhances productivity, accuracy and sustainability, businesses must also navigate the risks related to data security, compliance and financial feasibility. The study underscores the importance of dynamic capabilities in leveraging AI for strategic growth while mitigating the associated challenges. The results contribute to the discourse on AI’s role in shaping modern e-commerce, offering practical insights for companies seeking to integrate AI-driven solutions effectively.

KEYWORDS

artificial intelligence (AI), digital consumer behavior, dynamic capabilities, AI implementation in business, e-commerce and AI-driven personalization.

JEL

M15; L81; O33

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