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Fitness of business models for digital collaborative platforms in clusters: A case study

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Title: Fitness of business models for digital collaborative platforms in clusters: A case study
Authors: Cremona, L
Ravarini, A
Viscusi, G
Item 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.
Editors: Persson, A
Stirna, J
Issue Date: 1-Jan-2015
URI: http://hdl.handle.net/10044/1/91002
DOI: 10.1007/978-3-319-19243-7_18
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
Keywords: 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
Online Publication Date: 2015-05-27
Appears in Collections:Imperial College Business School