Artificial Intelligence and Managerial Decision-Making in International Business

Authors

DOI:

https://doi.org/10.34190/ecie.19.1.2573

Keywords:

decision-making, artificial intelligence, technological innovation, management challenges, international business

Abstract

Management in the age of artificial intelligence (AI) presents unique challenges and opportunities, especially in the international landscape. The technology is constantly evolving, and managers need to adapt to the new landscape that is emerging to harness its potential while considering and anticipating the risks involved. AI can disrupt traditional leadership models by automating specific tasks and decision-making processes. This challenges managers to align with this new reality and use AI to drive innovation and productivity. In addition, managers must navigate and adapt to the evolving regulatory environment, understanding but also complying with regulations around AI, data protection, and privacy, while advocating for responsible and fair governance. While AI significantly impacts management processes, the academic literature on the subject is still emerging. This study aims to explore the challenges posed by AI and how international business managers can use this technology to drive decision-making and benefit their organizations. Ten interviews were conducted with senior executives from a range of industries to collect qualitative primary data. The findings show that AI can help with decision-making, automate many processes, and improve efficiency. Top managers can use AI tools to address many challenges more effectively, but they need to understand the ethical implications and concerns that continue to arise. The findings provide theoretical implications and practical recommendations for top managers using AI technologies. Senior executives should develop AI-focused strategies; as AI becomes more prevalent across industries, managers need to understand how to integrate AI technologies into their organizations successfully.

Author Biographies

Athanasios Kourkoumelis, Neapolis University Pafos

Athanasios Kourkoumelis is a Tr. Lawyer and Political Scientist who holds an MBA. His research interests focus on the legal and ethical aspects of new technologies, with a particular emphasis on artificial intelligence.

Eleni E. Anastasopoulou, University of Peloponnese

Dr Eleni E. Anastasopoulou is an Agronomist-Food Scientist with a PhD in agri-food entrepreneurship. Her research focuses on sustainable agri-food entrepreneurship, examining European and national rural policies that foster the green and digital transition of the agri-food sector as well as the socio-economic development of the rural areas.

Georgios A. Deirmentzoglou, Neapolis University Pafos

Dr Georgios A. Deirmentzoglou is a Lecturer in Business Administration at Neapolis University Pafos (NUP). He holds a PhD degree in Business Administration, an MBA in Total Quality Management, and a Bachelor’s Degree in Industrial Management and Technology. His research interests focus on international business, new technologies and sustainable development.

Andreas Masouras

Dr Andreas Masouras is Assistant Professor at Neapolis University in the fields of Marketing and Communication. He holds a PhD (Honors) from the Department of Political Science and International Relations of the University of the Peloponnese. Also, he holds an MPhil from Brighton University (Media Management). He is a founding member and Head of the Research Institute of Applied Communication in Cyprus. Dr Masouras actively writes a series of scientific articles while he is constantly involved in remarkable international conferences where he presents his research.

Sofia Anastasiadou , University of Western Macedonia

Dr Sofia Anastasiadou is a Professor of Statistics and Research Methodology and the Dean of the School of Health Sciences at the University of Western Macedonia (UOWM). Her teaching focuses on the field of cognitive Research Methodology (Quantitative and Qualitative), Educational Research, Statistical Data Analysis and Big Data.

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Published

2024-09-20