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Fitness of business models for digital collaborative platforms in clusters: A case study
File | Description | Size | Format | |
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CRERAVI-FINAL.pdf | Accepted version | 287.86 kB | Adobe PDF | View/Open |
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 |