2017
DOI: 10.1007/978-3-319-50758-3_14
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Crowd-Driven IoT/IoE Ecosystems: A Multidimensional Approach

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Cited by 5 publications
(14 citation statements)
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“…In crowd-driven ecosystems, on the other hand, value is co-created, co-captured and co-distributed presenting a new triangular participatory value model driven by and for users [1]. However, despite this fundamental change in the business logic, from firm-centric to ecosystem-centric and crowd driven ecosystemcentric [1], we see that the business model research has not evolved in parallel. Given the disruptive nature of the crowd-driven IoT ecosystems current business model approaches and frameworks, facilitating the development, analysis and implementation of business models, should be adapted accordingly under a dynamic flexible business model framework.…”
Section: Crowd-driven Ecosystemsmentioning
confidence: 98%
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“…In crowd-driven ecosystems, on the other hand, value is co-created, co-captured and co-distributed presenting a new triangular participatory value model driven by and for users [1]. However, despite this fundamental change in the business logic, from firm-centric to ecosystem-centric and crowd driven ecosystemcentric [1], we see that the business model research has not evolved in parallel. Given the disruptive nature of the crowd-driven IoT ecosystems current business model approaches and frameworks, facilitating the development, analysis and implementation of business models, should be adapted accordingly under a dynamic flexible business model framework.…”
Section: Crowd-driven Ecosystemsmentioning
confidence: 98%
“…Initially, an exploratory review analysis that synthesizes current scientific knowledge is provided. This analysis relies on two streams of literature, namely, ecosystem research [2,3] and business model research [4] aiming to reflect upon the notion of crowd-driven IoT ecosystems [1]. This is followed by a classification of existing research under an explanatory framework that facilitates the analysis of business model components and frameworks that correspond to the needs of IoT ecosystems.…”
Section: The Study Approachmentioning
confidence: 99%
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