A Situational Approach to Data-Driven Service Innovation

Auteurs Marlies van Steenbergen, Jeroen van Grondelle, Lars Rieser
Gepubliceerd in Enterprise, Business-Process and Information Systems Modeling
Publicatiedatum 10 mei 2019
Lectoraat Betekenisvol Digitaal Innoveren
Soort publicatie Lezing


From the article: Though organizations are increasingly aware that the huge amounts of digital data that are being generated, both inside and outside the organization, offer many opportunities for service innovation, realizing the promise of big data is often not straightforward. Organizations are faced with many challenges, such as regulatory requirements, data collection issues, data analysis issues, and even ideation. In practice, many approaches can be used to develop new datadriven services. In this paper we present a first step in defining a process for assembling data-driven service development methods and techniques that are tuned to the context in which the service is developed. Our approach is based on the situational method engineering approach, tuning it to the context of datadriven service development. Published in: Reinhartz-Berger I., Zdravkovic J., Gulden J., Schmidt R. (eds) Enterprise, Business-Process and Information Systems Modeling. BPMDS 2019, EMMSAD 2019. Lecture Notes in Business Information Processing, vol 352. Springer. The final authenticated version of this paper is available online at https://doi.org/10.1007/978-3-030-20618-5_11.

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Taal Engels
Gepubliceerd in Enterprise, Business-Process and Information Systems Modeling
Trefwoorden Datadriven services
Digital Object Identifier https://doi.org/10.1007/978-3-030-20618-5_11
Paginabereik 156-168

Marlies van Steenbergen