Adoption of Artificial Intelligence in business decision-making: An integrated framework for achieving competitive advantage

This paper investigates the adoption of artificial intelligence (AI) in business decision-making and proposes an integrated framework aimed at leveraging AI capabilities to achieve sustainable competitive advantage. It explores how AI-driven analytics, predictive modeling, and explainable AI enhance decision accuracy, operational efficiency, and strategic agility across various business functions. The study also addresses challenges such as ethical considerations, data privacy, and the necessity of human oversight to ensure responsible AI integration. Ultimately, the framework provides actionable insights for organizations seeking to harness AI as a strategic asset in an increasingly digital and competitive landscape. In today's digital age; the rapid advancement of artificial intelligence (AI) is fundamentally reshaping the landscape of business decision-making; presenting both unprecedented opportunities and complex challenges for organizations seeking to maintain a competitive edge. Against this backdrop; this paper investigates the adoption of AI in business decision-making processes and proposes an integrated framework for leveraging AI to achieve sustainable competitive advantage.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-30
DOI
https://doi.org/10.5281/zenodo.17212103
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

Adoption of Artificial Intelligence in business decision-making: An integrated framework for achieving competitive advantage

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Adoption of Artificial Intelligence in business decision-making: An integrated framework for achieving competitive advantage

article en

Abstract

This paper investigates the adoption of artificial intelligence (AI) in business decision-making and proposes an integrated framework aimed at leveraging AI capabilities to achieve sustainable competitive advantage. It explores how AI-driven analytics, predictive modeling, and explainable AI enhance decision accuracy, operational efficiency, and strategic agility across various business functions. The study also addresses challenges such as ethical considerations, data privacy, and the necessity of human oversight to ensure responsible AI integration. Ultimately, the framework provides actionable insights for organizations seeking to harness AI as a strategic asset in an increasingly digital and competitive landscape. In today's digital age; the rapid advancement of artificial intelligence (AI) is fundamentally reshaping the landscape of business decision-making; presenting both unprecedented opportunities and complex challenges for organizations seeking to maintain a competitive edge. Against this backdrop; this paper investigates the adoption of AI in business decision-making processes and proposes an integrated framework for leveraging AI to achieve sustainable competitive advantage.

Zenodo (CERN European Organization for Nuclear Research)
Chittagong University of Engineering & Technology (BD), North South University (BD), Varendra University (BD), Ostbayerische Technische Hochschule Amberg-Weiden (DE)
Openalex Percentile: Top 26%
Geochemistry and Geologic Mapping
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Adoption of Artificial Intelligence in business decision-making: An integrated framework for achieving competitive advantage · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS