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               <dc:title>Modelling and applying OSS adoption strategies</dc:title>
               <dc:creator>López Cuesta, Lidia</dc:creator>
               <dc:creator>Costal Costa, Dolors</dc:creator>
               <dc:creator>Ayala Martínez, Claudia Patricia</dc:creator>
               <dc:creator>Franch Gutiérrez, Javier</dc:creator>
               <dc:creator>Glott, Ruediger</dc:creator>
               <dc:creator>Haaland, Kirsten</dc:creator>
               <dc:subject>Àrees temàtiques de la UPC::Informàtica::Enginyeria del software</dc:subject>
               <dc:subject>Open source software</dc:subject>
               <dc:subject>Framework</dc:subject>
               <dc:subject>I</dc:subject>
               <dc:subject>I-star</dc:subject>
               <dc:subject>Open Source Software</dc:subject>
               <dc:subject>OSS</dc:subject>
               <dc:subject>OSS adoption strategy</dc:subject>
               <dc:subject>OSS ontology</dc:subject>
               <dc:subject>Programari lliure</dc:subject>
               <dc:description>Increasing adoption of Open Source Software (OSS) in information system engineering has led to the emergence of different OSS business strategies that affect and shape organizations’ business models. In this context, organizational modeling needs to reconcile efficiently OSS adoption strategies with business strategies and models. In this paper, we propose to embed all the knowledge about each OSS adoption strategy into an i* model that can be used in the intentional modeling of the organization. These models describe the consequences of adopting one such strategy or another: which are the business goals that are supported, which are the resources that emerge, etc. To this aim, we first enumerate the main existing OSS adoption strategies, next we formulate an ontology that comprises the activities and resources that characterise these strategies, then based on the experience of 5 industrial partners of the RISCOSS EU-funded project, we explore how these elements are managed in each strategy and formulate the corresponding model using the i* framework.</dc:description>
               <dc:description>Peer Reviewed</dc:description>
               <dc:description>Postprint (author's final draft)</dc:description>
               <dc:date>2014</dc:date>
               <dc:type>Conference report</dc:type>
               <dc:relation>http://link.springer.com/chapter/10.1007/978-3-319-12206-9_29</dc:relation>
               <dc:rights>Open Access</dc:rights>
               <dc:publisher>Springer</dc:publisher>
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