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A model for R&D performance measurement

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  • Lazzarotti, Valentina
  • Manzini, Raffaella
  • Mari, Luca

Abstract

R&D activities are increasingly costly and risky and, as a consequence, measuring their performance and contribution to value becomes critical. This paper illustrates a formal model for measuring R&D performance, based upon a balanced and synthetic evaluation of quantitative indicators from five different perspectives of performance: financial, customer, innovation and learning, internal business, alliances, and networks. The model is built in coherence with the suggestions coming from the theory of measurement in soft systems, which gives relevant guidelines for ensuring validity, objectivity and inter-subjectivity of the model. Then, an application in a real R&D setting is described, which helps to understand the model and to enlighten its main advantages and limits.

Suggested Citation

  • Lazzarotti, Valentina & Manzini, Raffaella & Mari, Luca, 2011. "A model for R&D performance measurement," International Journal of Production Economics, Elsevier, vol. 134(1), pages 212-223, November.
  • Handle: RePEc:eee:proeco:v:134:y:2011:i:1:p:212-223
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    References listed on IDEAS

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    3. Salimi, Negin & Rezaei, Jafar, 2018. "Evaluating firms’ R&D performance using best worst method," Evaluation and Program Planning, Elsevier, vol. 66(C), pages 147-155.
    4. Klessova, Svetlana & Engell, Sebastian & Thomas, Catherine, 2022. "Assessment of the advancement of market-upstream innovations and of the performance of research and innovation projects," Technovation, Elsevier, vol. 116(C).
    5. Piaopeng Song & Yuxiao Gu & Bin Su & Arifa Tanveer & Qiao Peng & Weijun Gao & Shaomin Wu & Shihong Zeng, 2023. "The Impact of Green Technology Research and Development (R&D) Investment on Performance: A Case Study of Listed Energy Companies in Beijing, China," Sustainability, MDPI, vol. 15(16), pages 1-24, August.
    6. Kseniia Boiko, 2022. "R&D activity and firm performance: mapping the field," Management Review Quarterly, Springer, vol. 72(4), pages 1051-1087, December.
    7. VAN CAMP, Jelle & BRAET, Johan, 2013. "Proposing a taxonomy for performance measurement systems' failures," Working Papers 2013004, University of Antwerp, Faculty of Business and Economics.
    8. Braune, Eric & Sahut, Jean-Michel & Teulon, Fréderic, 2020. "Intangible capital, governance and financial performance," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
    9. Lo Nigro, Giovanna & Morreale, Azzurra & Enea, Gianluca, 2014. "Open innovation: A real option to restore value to the biopharmaceutical R&D," International Journal of Production Economics, Elsevier, vol. 149(C), pages 183-193.
    10. Svetlana Klessova & Sebastian Engell & Catherine Thomas, 2022. "Assessment of the advancement of market-upstream innovations and of the performance of research and innovation projects," Post-Print hal-03636260, HAL.
    11. Wellington L. L. Rocha & Maria Fatima L. Almeida & Rodrigo F. Calili, 2022. "Measuring and Evaluating Organizational Innovation Capacity and Performance from Systemic and Sustainability-Oriented Perspective," Sustainability, MDPI, vol. 15(1), pages 1-37, December.
    12. João Nuno Morais Lopes & Luís Farinha, 2018. "Measuring the Performance of Innovation and Entrepreneurship Networks," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 9(2), pages 402-423, June.
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