Service-dominant logic is an emerging theoretical framework for explaining value creation as an exchange of services among configurations of actors. In contrast to product-dominant logic, a logic that looks at factors tied to efficiently manufacturing, distributing, retailing and consuming products, service-dominant logic focuses on how services are exchanged.
A widely cited paper (2016) identifies five axioms of service-dominant logic:
Service is the fundamental basis of exchange in society
Value is co-created by multiple actors, always including the beneficiary
All social and economic actors are resource integrators
Value is always uniquely and phenomenologically determined by the beneficiary
Value cocreation is coordinated through actor-generated institutions and institutional arrangements.
Increasingly, the Services-dominant logic literature is focusing on service ecosystems as a unit of analysis for research and practice. In S-D logic, a service ecosystem is defined as a set of:
Actors: individuals, organizations, agencies, artificial intelligence agents, and etc.
Artifacts: products, services and other artifacts that actors exchange
Institutions: a) a set of rules, practices, standards or customs that govern how actors interact as they exchange products and services (also called institutional arrangements); or b) associations, organizations and government agencies that develop and administer institutional arrangements.
Service-dominant logic represents a kind of paradigm shift in thinking about markets, government and society. It has far reaching implications for how human beings organize their affairs in an increasingly interconnected world.
Learn more at the Society for Health Ecosystem Research and Innovation
We are using Service Ecosystem Design Science as an umbrella framework to guide research and action to accelerate development and adoption of transformational innovations for improving health in society. This framework draws on multiple areas of science, including collaboration sciences, service-dominant logic, population health sciences, implementation sciences, information sciences, sciences of social connection, positive psychology, mindfulness, economics (including new institutional economics), political science, social science including structuration theory (e.g. Giddens) and habitus (e.g. Bourdieu), complexity sciences, ethics (e.g. Emmanuel Levinas), among other fields.
Action research is a special kind of research in which participants in a practice community (e.g. actors engaged in "action") and researchers from a research community (e.g. researchers and research institutions engaged in "research") work collaboratively to conduct research and take actions that benefit both communities.
As shown in the figure above, it typically involves practice community members identifying problems or challenges that research community members then conduct research to help solve. Both parties then work together to disseminate results and identify new problems to study. This results in a virtuous cycle of research and action that can accelerate development and adoption of innovations in ecosystems.
Scalable Transformational Action Research is defined as research supporting action that is transformational, defined as having potential to impact the health and wellbeing of 1 million or more people while also having economic impact of $1 billion or more across an ecosystem. The term scalable means that resulting innovations can "scale" - that is, be standardized in a way that they can be efficiently implemented at scale across states, a nation or the world.
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