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A configurational perspective for the generalisation of healthcare innovations: The case of a new screening programme.
- Source :
- Technological Forecasting & Social Change; Apr2024, Vol. 201, pN.PAG-N.PAG, 1p
- Publication Year :
- 2024
-
Abstract
- This paper analyses the process of generalisation of an innovative government-led public practice in the healthcare sector. The scaling and embedding involved in this generalisation process are assumed to be dependent on the multiple implementation processes (consecutive or simultaneous) that lead to a routine use of the innovation in different adopters. This paper, therefore, proposes the use of a configurational theory approach to conceptualise each implementation of the innovation during the generalisation process and shed light on the generalisation's scaling and embedding efforts. It suggests a set of recommendations and practices for generalisation managers, most notably: i) they should regard generalisations as organic processes where their main role is to create space for experimentation, learning and negotiation, and ii) they should adopt different modes of governance to identify adequate mechanisms and strategies and guide their actions. This configurational perspective allows them to monitor and manage the evolution of implementations, informs the valuable learning processes that take place in a generalisation and has been found to be a useful tool to support the crucial collaboration among the actors involved in a generalisation. • Configurational model for innovation implementations in generalisations • Model useful for managing scaling and embedding of government-led public practices • Configurational perspective informs valuable learning processes in generalisations. • Tool useful to support managerial actions to promote generalisation • Framing adequate to leverage the use of flexibility within socio-technical systems [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00401625
- Volume :
- 201
- Database :
- Supplemental Index
- Journal :
- Technological Forecasting & Social Change
- Publication Type :
- Academic Journal
- Accession number :
- 175681686
- Full Text :
- https://doi.org/10.1016/j.techfore.2024.123226