Insaf Khelladi
Papers
1
Total Citations
30
H-Index
1
About
Insaf Khelladi is a distinguished researcher whose work lies at the intersection of innovation management, digital transformation, and healthcare technology. Her research primarily explores how emerging technologies—particularly social robots—are adopted, diffused, and integrated into complex organizational and societal settings. In her highly cited 2021 study, "The adoption, diffusion & categorical ambiguity trifecta of social robots in e-health – Insights from healthcare professionals," Khelladi unpacks the nuanced challenges that arise when social robots enter healthcare environments. She reveals how categorical ambiguity—the lack of clear classification for these technologies—creates barriers to acceptance among medical professionals, offering critical insights for both practitioners and policymakers. With over 30 citations, this work has become a foundational reference for scholars studying technology adoption in sensitive, high-stakes fields. Khelladi’s contributions are notable for bridging theoretical frameworks with real-world implications, helping to shape how we understand the human-technology interface in healthcare. Her research continues to inform debates on digital ethics, organizational change, and the responsible deployment of autonomous systems, making her a vital voice in contemporary innovation studies.
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Top Papers
- 1