Ready or Not, AI Comes— An Interview Study of Organizational AI Readiness Factors
Готовы или нет — искусственный интеллект приходит: интервью-исследование факторов организационной готовности к внедрению ИИ
2020-12-22
SCID: 54.1/r925suaa
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AI adoptionAI readiness assessmentAI readiness factorsin-depth interview studyorganizational AI readiness
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Abstract (AI)
Abstract Artificial intelligence (AI) offers organizations much potential. Considering the manifold application areas, AI’s inherent complexity, and new organizational necessities, companies encounter pitfalls when adopting AI. An informed decision regarding an organization’s readiness increases the probability of successful AI adoption and is important to successfully leverage AI’s business value. Thus, companies need to assess whether their assets, capabilities, and commitment are ready for the individual AI adoption purpose. Research on AI readiness and AI adoption is still in its infancy. Consequently, researchers and practitioners lack guidance on the adoption of AI. The paper presents five categories of AI readiness factors and their illustrative actionable indicators. The AI readiness factors are deduced from an in-depth interview study with 25 AI experts and triangulated with both scientific and practitioner literature. Thus, the paper provides a sound set of organizational AI readiness factors, derives corresponding indicators for AI readiness assessments, and discusses the general implications for AI adoption. This is a first step toward conceptualizing relevant organizational AI readiness factors and guiding purposeful decisions in the entire AI adoption process for both research and practice.
Key Findings
1
AI readiness assessment should consider an organization’s assets, capabilities, and commitment relative to its specific AI adoption purpose.
2
Findings are based on in-depth interviews with 25 AI experts and triangulated against scientific and practitioner literature.
3
The proposed readiness factors and indicators provide guidance for purposeful decisions throughout the AI adoption process.
4
The study constitutes an initial conceptualization because research and practical guidance on organizational AI readiness remain underdeveloped.
5
The study identifies five categories of organizational AI readiness factors and corresponding actionable indicators for assessing readiness.
Research Object
Organizational AI readiness (organizations' assets, capabilities, and commitment for AI adoption)
Research Subject
organizational assets, capabilities, and commitment as AI readiness factors and actionable indicators for successful AI adoption
Publication Details
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2020-12-22
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References available in scid.ai8
Diffusion of Innovations 12019
Artificial intelligence: a modern approach1995
The Coding Manual for Qualitative Researchers2022
Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation1991
Best Practices for Developing and Validating Scales for Health, Social, and Behavioral Research: A Primer2018
A theory of organizational readiness for change2009
Social Science Research: Principles, Methods and Practices2019
Artificial Intelligence in Human Resources Management: Challenges and a Path Forward2019
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