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Case Study 4.5

Adoption Barriers in Explainable AI for Cross-functional Tech Teams: A qualitative grounded theory

30
Pages
MLA
Style
~ 31–45 mins
Reading Time
DevSecOps CV Telemedicine
Abstract

This case study investigates “Adoption Barriers in Explainable AI for Cross-functional Tech Teams: A qualitative grounded theory” using a difference-in-differences analysis. Through a behavioral lens, the analysis integrates multi-source data to derive a stakeholder-aligned blueprint for researchers and practitioners.

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Adoption Barriers in Explainable AI for Cross-functional Tech Teams: A qualitative grounded theory

ABSTRACT
Adoption Barriers in Explainable AI for Cross-functional Tech Teams: A qualitative grounded theory is unpacked across themes: scalability, security, ethics, and change enablement. Limitations and future research paths are noted.
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