Artificial Intelligence and Managerial Decision-Making in International Business

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.

Authors

Institutions

Publication Details

Journal
European Conference on Innovation and Entrepreneurship
Published
2024-09-20
DOI
https://doi.org/10.34190/ecie.19.1.2573
Citations
4
Primary Topic
Collaboration in agile enterprises
Type
article
Field-Weighted Citation Impact
2.92
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial Intelligence and Managerial Decision-Making in International Business

Ανδρέας Μασούρας, Georgios A. Deirmentzoglou, Sofia Anastasiadou, Eleni Anastasopoulou et al.
4 citations
European Conference on Innovation and Entrepreneurship
Collaboration in agile enterprises
2.92
article

Artificial Intelligence and Managerial Decision-Making in International Business

Ανδρέας Μασούρας, Georgios A. Deirmentzoglou, Sofia Anastasiadou, Eleni Anastasopoulou, Athanasios Kourkoumelis
article en
4 citations

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.

European Conference on Innovation and EntrepreneurshipVol. 19(1)
University of Peloponnese (GR), Neapolis University Pafos (CY), University of Western Macedonia (GR)
Openalex Percentile: Top 9%
Collaboration in agile enterprises
2.92
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.