Knowledge sharing as a signalling mechanism: impact on perceived psychological safety toward health IT-enabled patient-care work

We investigate knowledge flows as signalling mechanisms shaping knowledge recipients' psychological safety towards health information technology (HIT)-enabled patient-care work. In large hospital systems, HIT-enabled patient-care work is complex and involves interdependent collaboration between people. We focus on two different kinds of knowledge that people share amongst each other as they engage in HIT-enabled patient-care work - requests for problem-specific help/advice and unsolicited, but helpful, tips/tricks/insights - and the social networks underlying these flows, namely help-seeking networks and voluntary contribution networks. Drawing on social network theory and knowledge management literature, we identify the positions within each social network that impact knowledge recipients' psychological safety. Social network data were collected from clinicians across 27 inpatient patient-care units, and analysed using generalised estimating equations. In voluntary contribution networks, in-degree centrality and in-closeness centrality impacted the psychological safety of knowledge recipients, while in help-seeking networks, only in-degree centrality had an effect on psychological safety.

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Publication Details

Journal
International Journal of Business Information Systems
Published
2025-01-01
DOI
https://doi.org/10.1504/ijbis.2025.145552
Primary Topic
AI in Service Interactions
Type
article
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article

Knowledge sharing as a signalling mechanism: impact on perceived psychological safety toward health IT-enabled patient-care work

Roopa Raman
International Journal of Business Information Systems
AI in Service Interactions
article

Knowledge sharing as a signalling mechanism: impact on perceived psychological safety toward health IT-enabled patient-care work

Roopa Raman
article en

Abstract

We investigate knowledge flows as signalling mechanisms shaping knowledge recipients' psychological safety towards health information technology (HIT)-enabled patient-care work. In large hospital systems, HIT-enabled patient-care work is complex and involves interdependent collaboration between people. We focus on two different kinds of knowledge that people share amongst each other as they engage in HIT-enabled patient-care work - requests for problem-specific help/advice and unsolicited, but helpful, tips/tricks/insights - and the social networks underlying these flows, namely help-seeking networks and voluntary contribution networks. Drawing on social network theory and knowledge management literature, we identify the positions within each social network that impact knowledge recipients' psychological safety. Social network data were collected from clinicians across 27 inpatient patient-care units, and analysed using generalised estimating equations. In voluntary contribution networks, in-degree centrality and in-closeness centrality impacted the psychological safety of knowledge recipients, while in help-seeking networks, only in-degree centrality had an effect on psychological safety.

International Journal of Business Information SystemsVol. 48(4)
University of Dayton (US)
Openalex Percentile: Top 97%
AI in Service Interactions
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Knowledge sharing as a signalling mechanism: impact on perceived psychological safety toward health IT-enabled patient-care work — Roopa Raman · International Journal of Business Information Systems (2025) | TGRS Research Map | TGRS