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Policy Brief 4.3

Innovation Diffusion in Human-Computer Interaction for Data Science Teams: A qualitative grounded theory

13
Pages
IEEE
Style
~ 13–20 mins
Reading Time
Finance FinTech AR/VR
Abstract

This policy brief investigates “Innovation Diffusion in Human-Computer Interaction for Data Science Teams: A qualitative grounded theory” using a propensity score matching. Through a economic lens, the analysis integrates multi-source data to derive a stakeholder-aligned blueprint for researchers and practitioners.

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Innovation Diffusion in Human-Computer Interaction for Data Science Teams: A qualitative grounded theory

ABSTRACT
Innovation Diffusion in Human-Computer Interaction for Data Science Teams: A qualitative grounded theory is unpacked across themes: equity, scalability, governance, and KPIs. Limitations and future research paths are noted.
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