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A Framework for Innovation Management

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Portfolio Decision Analysis

Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 162))

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Abstract

Over the last 3 years a niche has emerged for Web-based tools to support innovation management processes. However, these tools usually focus on a limited part of the innovation management cycle. Moreover, in spite of the inherent portfolio nature of many decisions in innovation management, such tools tend to lack group decision support capabilities, except for simple mechanisms using discussion fora and voting systems. We describe a flexible framework based on collaborative decision analysis to support innovation management processes and outline a Web-based architecture implementing such framework.

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Acknowledgements

This work was supported by grants MICINN-eCOLABORA and RIESGOS-CM. We are grateful to Felipe Garcia for introducing us to this research topic and market niche. Discussions with the editors greatly enhanced this chapter and our vision of innovation management.

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Authors and Affiliations

  1. International RTD Projects Department, Carlos III National Health Institute, Ministry of Science and Innovation, Madrid, Spain

    Gonzalo Arévalo

  2. Royal Academy of Sciences, Valverde 22, 28004, Madrid, Spain

    David Ríos Insua

Authors
  1. Gonzalo Arévalo
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  2. David Ríos Insua
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Corresponding author

Correspondence to Gonzalo Arévalo .

Editor information

Editors and Affiliations

  1. , Systems Analysis Laboratory, Aalto University School of Science and T, Aalto, 00076, Finland

    Ahti Salo

  2. Dept. Management Science &, Information Systems, University of Massachusetts, Boston, Morrissey Blvd. 100, Boston, 02125, Massachusetts, USA

    Jeffrey Keisler

  3. , Department of Management, London School of Economics, Houghton Street, London, WC2A 2AE, Montserrat

    Alec Morton

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Arévalo, G., Insua, D.R. (2011). A Framework for Innovation Management. In: Salo, A., Keisler, J., Morton, A. (eds) Portfolio Decision Analysis. International Series in Operations Research & Management Science, vol 162. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9943-6_8

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