Fitness of business models for digital collaborative platforms in clusters: A case study
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Accepted version
Author(s)
Cremona, L
Ravarini, A
Viscusi, G
Type
Chapter
Abstract
This paper investigates the role of business models for exploiting digital options within digital clusters (that are clusters where collaboration is IT-dependent). To this aim, this research focuses on digital platforms, a specific IT artifact supporting an inter-organizational system (IOS), which finds a typical application domain in clusters of enterprises. Thus, the paper first discusses the theoretical background and presents a literature review that has been used to set up a framework for analyzing the factors influencing the exploitation of digital platforms at cluster level. The framework is developed through a Design Science Research (DSR) methodology whose empirical ground will be represented by a cluster of more than a hundred of manufacturing small-medium enterprises. An exploratory case study is then discussed in this paper, meant to represent the early stages of application of the DSR method.
Editor(s)
Persson, A
Stirna, J
Date Issued
2015-01-01
ISBN
978-3-319-19242-0
Publisher
SPRINGER-VERLAG BERLIN
Start Page
174
End Page
182
Journal / Book Title
Lecture Notes in Business Information Processing
Lecture Notes in Business Information Processing
Volume
215
Copyright Statement
© Springer International Publishing Switzerland 2015. The final publication is available at Springer via https://doi.org/10.1007/978-3-319-19243-7_18
Identifier
https://link.springer.com/chapter/10.1007%2F978-3-319-19243-7_18
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Subjects
Science & Technology
Technology
Computer Science, Information Systems
Computer Science, Theory & Methods
Engineering, Electrical & Electronic
Computer Science
Engineering
Digital platforms
Business models
Clusters of enterprises
INFORMATION-SYSTEMS
FUTURE-RESEARCH
TECHNOLOGY
INNOVATION
ECOSYSTEM
ONTOLOGY
Science & Technology
Technology
Computer Science, Information Systems
Computer Science, Theory & Methods
Engineering, Electrical & Electronic
Computer Science
Engineering
Digital platforms
Business models
Clusters of enterprises
INFORMATION-SYSTEMS
FUTURE-RESEARCH
TECHNOLOGY
INNOVATION
ECOSYSTEM
ONTOLOGY
Publication Status
Published
Date Publish Online
2015-05-27