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Defining Kpi Sets For Industrial Research Organizations — A Performance Measurement Approach

Author

Listed:
  • TATJANA SAMSONOWA

    (SAP Research, SAP AG, Dietmar-Hopp-Allee 16, 69190 Walldorf, Germany)

  • PETER BUXMANN

    (Technische Universität Darmstadt, Information Systems/Wirtschaftsinformatik, Hochschulstr. 1, 64289 Darmstadt, Germany)

  • WOLFGANG GERTEIS

    (SAP Research, SAP AG, Dietmar-Hopp-Allee 16, 69190 Walldorf, Germany)

Abstract

In today's challenging economic climate it is more important than ever for companies to acquire comparable competitive advantage in their market. While previous research has investigated the performance measurement of R&D as a whole organization, very little research has been done into the performance management for just the research function itself. This, however, is of particular interest to larger organizations. This paper (1) introduces a framework for performance measurement for industrial research, and (2) presents a set of clusters, representing the content dimension for measuring research organizations. Based on the clusters, we were able to evaluate the extent to which performance measurement in practice in different companies can be compared. We discovered that the clusters follow a particular consistent distribution across organizations when the clusters are ranked by importance. For this empirical analysis, data was collected through in-depth case studies including more than 60 interviews and thorough document analyses.

Suggested Citation

  • Tatjana Samsonowa & Peter Buxmann & Wolfgang Gerteis, 2009. "Defining Kpi Sets For Industrial Research Organizations — A Performance Measurement Approach," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 157-176.
    • Handle: RePEc:wsi:ijimxx:v:13:y:2009:i:02:n:s1363919609002248
    DOI: 10.1142/S1363919609002248
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    Citations

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    Cited by:

    1. František Milichovský, 2017. "Effectiveness of Marketing Mix Activities in Engineering Companies in the Czech Republic," DANUBE: Law and Economics Review, European Association Comenius - EACO, issue 1, pages 45-55, March.
    2. Jana Hornungová & František Milichovský, 2013. "Profit indicators in performance systems in the Czech companies," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 61(2), pages 345-352.
    3. Prabath Chaminda Abeysiriwardana & Udith K. Jayasinghe-Mudalige, 2022. "Single window performance management: a strategy for evaluation integrated research culture in the commercial agriculture sector," SN Business & Economics, Springer, vol. 2(9), pages 1-24, September.
    4. Milichovsky, Frantisek, 2015. "Measuring Indicators for Marketing Effectiveness in Czech Companies || Indicadores para medir la eficacia del marketing en las empresas checas," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 20(1), pages 3-24, December.
    5. Schönefeld, Carsten & Möller, Klaus & Engelhardt, Philipp, 2015. "Erfolgstreiber Innovationskennzahlen," Die Unternehmung - Swiss Journal of Business Research and Practice, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 69(3), pages 322-350.

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