AI · Cross-sectional qualitative study with purposive expert sample
Technology readiness and the organizational journey towards AI adoption: An empirical study
International Journal of Information Management · 2023
Summary
Long-term AI success needs readiness in people, processes, data, and technology; innovative organizations should bridge technical and business functions.
For your marketing
Possible founder application
Sell implementation as a readiness journey, with data/process enablement and business-technical translation—not only model capability.
Reported result
What the study found
Long-term AI success needs readiness in people, processes, data, and technology; innovative organizations should bridge technical and business functions.
Research question
What the authors investigated
How does the study’s stated design explain its reported outcome in this setting?
Design
Cross-sectional qualitative study with purposive expert sample
Sample and setting
AI experts from research, development, and business functions; sample size not stated in abstract
Scope and transfer
Limitations to keep in view
Purposive expert sample and qualitative cross-sectional design; no quantitative effect estimates.
Research sources
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