Samsonowa, Tatjana ; Buxmann, Peter ; Gerteis, Wolfgang (2009)
Defining KPI sets for Industrial Research Organizations - A Performance Measurement Approach.
In: International Journal of Innovation Management, 13 (2)
doi: 10.1142/S1363919609002248
Artikel, Bibliographie
Kurzbeschreibung (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.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2009 |
| Autor(en): | Samsonowa, Tatjana ; Buxmann, Peter ; Gerteis, Wolfgang |
| Art des Eintrags: | Bibliographie |
| Titel: | Defining KPI sets for Industrial Research Organizations - A Performance Measurement Approach |
| Sprache: | Englisch |
| Publikationsjahr: | 1 Juni 2009 |
| Verlag: | World Scientific Publ. |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | International Journal of Innovation Management |
| Jahrgang/Volume einer Zeitschrift: | 13 |
| (Heft-)Nummer: | 2 |
| DOI: | 10.1142/S1363919609002248 |
| Kurzbeschreibung (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. |
| Fachbereich(e)/-gebiet(e): | 01 Fachbereich Rechts- und Wirtschaftswissenschaften 01 Fachbereich Rechts- und Wirtschaftswissenschaften > Betriebswirtschaftliche Fachgebiete 01 Fachbereich Rechts- und Wirtschaftswissenschaften > Betriebswirtschaftliche Fachgebiete > Wirtschaftsinformatik 20 Fachbereich Informatik 20 Fachbereich Informatik > Information Systems / Wirtschaftsinformatik |
| Hinterlegungsdatum: | 31 Dez 2016 00:18 |
| Letzte Änderung: | 23 Apr 2024 11:44 |
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