Responsible Artificial Intelligence Competencies and Sustainable Competitive Advantages: A Stakeholder Theory Perspective

Artificial Intelligence (AI) technologies are reshaping the business landscape, yet many firms fail to realize their potential due to organizational, cultural, and ethical challenges. Addressing these gaps, this study introduces the concept of Responsible AI Competencies (RAIC), defined as “an organization’s competencies to leverage AI systems to achieve favorable outcomes while adhering to ethical standards and responsible use.” Integrating stakeholder theory, we investigate the mechanisms through which RAIC fosters long-term organizational benefits, emphasizing diverse stakeholders’ engagement and trust. Our research advances the literature by bridging responsible AI and technology competency frameworks, conceptualizing RAIC, and exploring its strategic implications. By uncovering mediating pathways, we highlight how RAIC can drive sustainable competitive advantages while addressing ethical concerns in AI deployment. The findings offer significant theoretical contributions and practical insights, guiding firms to develop and utilize RAIC to achieve lasting success in the evolving AI landscape.

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Publication Details

Journal
Journal of the Association for Information Systems
Published
2025-06-18
Primary Topic
Cosmology and Gravitation Theories
Type
article
Field-Weighted Citation Impact
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article

Responsible Artificial Intelligence Competencies and Sustainable Competitive Advantages: A Stakeholder Theory Perspective

Journal of the Association for Information Systems
Cosmology and Gravitation Theories
article

Responsible Artificial Intelligence Competencies and Sustainable Competitive Advantages: A Stakeholder Theory Perspective

article en

Abstract

Artificial Intelligence (AI) technologies are reshaping the business landscape, yet many firms fail to realize their potential due to organizational, cultural, and ethical challenges. Addressing these gaps, this study introduces the concept of Responsible AI Competencies (RAIC), defined as “an organization’s competencies to leverage AI systems to achieve favorable outcomes while adhering to ethical standards and responsible use.” Integrating stakeholder theory, we investigate the mechanisms through which RAIC fosters long-term organizational benefits, emphasizing diverse stakeholders’ engagement and trust. Our research advances the literature by bridging responsible AI and technology competency frameworks, conceptualizing RAIC, and exploring its strategic implications. By uncovering mediating pathways, we highlight how RAIC can drive sustainable competitive advantages while addressing ethical concerns in AI deployment. The findings offer significant theoretical contributions and practical insights, guiding firms to develop and utilize RAIC to achieve lasting success in the evolving AI landscape.

Journal of the Association for Information Systems
Queen's University Belfast (GB), Free University of Bozen-Bolzano (IT)
Openalex Percentile: Top 55%
Cosmology and Gravitation Theories
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Responsible Artificial Intelligence Competencies and Sustainable Competitive Advantages: A Stakeholder Theory Perspective · Journal of the Association for Information Systems (2025) | TGRS Research Map | TGRS