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Essay 4.2

Artificial Intelligence Adoption in Cross-functional Tech Teams: Data Quality And Bias — A Comparative Perspective

25
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Chicago
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~ 26–36 mins
Reading Time
Sustainability HCI Open Banking
Abstract

This essay investigates “Artificial Intelligence Adoption in Cross-functional Tech Teams: Data Quality And Bias — A Comparative Perspective” using a survey-based structural equation modeling. Through a behavioral lens, the analysis integrates multi-source data to derive a practical decision framework for researchers and practitioners.

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Artificial Intelligence Adoption in Cross-functional Tech Teams: Data Quality And Bias — A Comparative Perspective

ABSTRACT
Artificial Intelligence Adoption in Cross-functional Tech Teams: Data Quality And Bias — A Comparative Perspective is unpacked across themes: usability, interoperability, costs, and risks. Limitations and future research paths are noted.
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