Sustained Learning as a Dynamic Capability for Digital Transformation: A Multilevel Quantitative Study on Workforce Readiness and Digital Services in Healthcare

Sandra Starke () and Iveta Ludviga
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Sandra Starke: BA School of Business and Finance, University of Latvia, LV-1013 Rīga, Latvia
Iveta Ludviga: Faculty of Business and Economics, Riseba University, LV-1048 Rīga, Latvia

Sustainability, 2025, vol. 17, issue 20, 1-20

Abstract: In the context of the digital transformation of healthcare organisations, this study investigates the critical role of sustained learning, employee readiness, and supportive learning conditions to enable digital service offerings. Drawing on dynamic capabilities theory, we conceptualise and empirically test a multilevel model, exploring how sustained learning behaviour and mindset shape the Ability–Motivation–Opportunity (AMO) framework at the individual level. Furthermore, we analyse how workplace learning mediates the relationship between AMO on service outcomes at an organisational level, with sector affiliation as a moderating factor. Data were collected from 856 participants with online surveys and analysed with PLS-SEM. The results confirmed that sustained learning significantly enhances individual readiness (ability, motivation, and opportunity), which in turn positively influences digital services. Workplace learning was found to be a potent mediator, and sector affiliation significantly moderated the relationship between workforce enhancement and digital service outcomes. These findings underline the importance of embedding an employee sustained learning mindset and behaviour as an organisational capability, beyond technical implementation. The results suggest that a successful digital transformation hinges on cognitive and behavioural learning engagement, supported by supportive learning structures and context-specific strategies.

Keywords: sustained learning; dynamic capabilities; healthcare (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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