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Service Innovation Analytics: Towards an Approach for Validating Frameworks for Service Innovation Capabilities via Text Mining

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Exploring Services Science (IESS 2013)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 143))

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Abstract

The importance of innovation for companies to gain competitive advantage is widely acknowledged. Realizing service innovations has shown to provide some particular challenges to organizations. Consequently, in recent years, several frameworks of capabilities for service innovation have been published; however, often not yet validated. Conventional empirical validation approaches are time and resource intense. In this research-in-progress paper we aim for indications that text mining can be applied to companies’ documents written in natural language so that frameworks for service innovation capabilities can be validated. Building on established methods in text mining, we are working towards an approach to realize this. The paper outlines the approach and reports on the encouraging results from an exploratory study, which we have conducted by applying the approach to a single capability from a prominently discussed service innovation capability framework.

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Author information

Authors and Affiliations

  1. Karlsruhe Service Research Institute, Karlsruhe Institute of Technology, Englerstrasse 11, 76131, Karlsruhe, Germany

    Niels Feldmann, Marc Kohler & Hansjörg Fromm

  2. The Wharton School, University of Pennsylvania, 3730 Walnut Street, Philadelphia, PA, 19104-6340, USA

    Steven O. Kimbrough

Authors
  1. Niels Feldmann
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  2. Marc Kohler
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  3. Steven O. Kimbrough
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  4. Hansjörg Fromm
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Editor information

Editors and Affiliations

  1. Departamento de Engenharia e Gestão Industrial, FEUP – University of Porto, Porto, Portugal

    João Falcão e Cunha  & Henriqueta Nóvoa  & 

  2. University of Geneva, Geneva, Switzerland

    Mehdi Snene

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Feldmann, N., Kohler, M., Kimbrough, S.O., Fromm, H. (2013). Service Innovation Analytics: Towards an Approach for Validating Frameworks for Service Innovation Capabilities via Text Mining. In: Falcão e Cunha, J., Snene, M., Nóvoa, H. (eds) Exploring Services Science. IESS 2013. Lecture Notes in Business Information Processing, vol 143. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36356-6_6

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  • DOI: https://doi.org/10.1007/978-3-642-36356-6_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36355-9

  • Online ISBN: 978-3-642-36356-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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