IDEAS home Printed from https://ideas.repec.org/p/iso/educat/0089.html
   My bibliography  Save this paper

Combining knowledge stock and knowledge flow to generate superior incremental innovation performance - Evidence from Swiss manufacturing

Author

Listed:
  • Christian Rupietta

    (University of Wuppertal)

  • Uschi Backes-Gellner

    (University of Zurich)

Abstract

Firms generate new knowledge that leads to innovations by recombining existing knowledge sources. A successful recombination depends on the availability of a knowledge stock (human capital pool) and the flow of knowledge within the firm (induced by HRM systems). While human resource theory expects complementarities between human capital pools and HRM systems, it does not explicitly address how knowledge exchange may be guaranteed or fostered. Moreover, empirical approaches neglect the complexity of such complementarities. In this study we develop a model that integrates a firm's knowledge stock and flow into a knowledge creation (KC) system comprising four ideal types. This system explains the occurrence of superior incremental innovation performance. We empirically analyze the KC system by applying fuzzy set qualitative comparative analysis (fsQCA) and identify configurations concurring with our ideal types. The results show that the use of human capital and HRM practices depends on firm size and industry dynamism.

Suggested Citation

  • Christian Rupietta & Uschi Backes-Gellner, 2013. "Combining knowledge stock and knowledge flow to generate superior incremental innovation performance - Evidence from Swiss manufacturing," Economics of Education Working Paper Series 0089, University of Zurich, Department of Business Administration (IBW), revised Apr 2017.
  • Handle: RePEc:iso:educat:0089
    as

    Download full text from publisher

    File URL: http://repec.business.uzh.ch/RePEc/iso/leadinghouse/0089_lhwpaper.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Bruce Kogut & Udo Zander, 1992. "Knowledge of the Firm, Combinative Capabilities, and the Replication of Technology," Organization Science, INFORMS, vol. 3(3), pages 383-397, August.
    2. Keld Laursen & Nicolai J. Foss, 2003. "New human resource management practices, complementarities and the impact on innovation performance," Cambridge Journal of Economics, Oxford University Press, vol. 27(2), pages 243-263, March.
    3. Østergaard, Christian R. & Timmermans, Bram & Kristinsson, Kari, 2011. "Does a different view create something new? The effect of employee diversity on innovation," Research Policy, Elsevier, vol. 40(3), pages 500-509, April.
    4. Paul Osterman, 1994. "How Common is Workplace Transformation and Who Adopts it?," ILR Review, Cornell University, ILR School, vol. 47(2), pages 173-188, January.
    5. Seny Kan, Anderson Konan & Adegbite, Emmanuel & El Omari, Sami & Abdellatif, Mahamat, 2016. "On the use of qualitative comparative analysis in management," Journal of Business Research, Elsevier, vol. 69(4), pages 1458-1463.
    6. Keld Laursen, 2002. "The Importance of Sectoral Differences in the Application of Complementary HRM Practices for Innovation Performance," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 9(1), pages 139-156.
    7. Nooteboom, Bart & Van Haverbeke, Wim & Duysters, Geert & Gilsing, Victor & van den Oord, Ad, 2007. "Optimal cognitive distance and absorptive capacity," Research Policy, Elsevier, vol. 36(7), pages 1016-1034, September.
    8. Robert M. Grant, 1996. "Prospering in Dynamically-Competitive Environments: Organizational Capability as Knowledge Integration," Organization Science, INFORMS, vol. 7(4), pages 375-387, August.
    9. Meuer, Johannes & Rupietta, Christian & Backes-Gellner, Uschi, 2015. "Layers of co-existing innovation systems," Research Policy, Elsevier, vol. 44(4), pages 888-910.
    10. Christian Rupietta & Uschi Backes-Gellner, 2019. "How firms’ participation in apprenticeship training fosters knowledge diffusion and innovation," Journal of Business Economics, Springer, vol. 89(5), pages 569-597, July.
    11. Hollenstein, Heinz, 1996. "A composite indicator of a firm's innovativeness. An empirical analysis based on survey data for Swiss manufacturing," Research Policy, Elsevier, vol. 25(4), pages 633-645, June.
    12. Ichniowski, Casey & Shaw, Kathryn & Prennushi, Giovanna, 1997. "The Effects of Human Resource Management Practices on Productivity: A Study of Steel Finishing Lines," American Economic Review, American Economic Association, vol. 87(3), pages 291-313, June.
    13. Wagemann, Claudius & Buche, Jonas & Siewert, Markus B., 2016. "QCA and business research: Work in progress or a consolidated agenda?," Journal of Business Research, Elsevier, vol. 69(7), pages 2531-2540.
    14. Hollenstein, Heinz, 2003. "Innovation modes in the Swiss service sector: a cluster analysis based on firm-level data," Research Policy, Elsevier, vol. 32(5), pages 845-863, May.
    15. L. J. Bourgeois, III & Kathleen M. Eisenhardt, 1988. "Strategic Decision Processes in High Velocity Environments: Four Cases in the Microcomputer Industry," Management Science, INFORMS, vol. 34(7), pages 816-835, July.
    16. Abernathy, William J. & Clark, Kim B., 1985. "Innovation: Mapping the winds of creative destruction," Research Policy, Elsevier, vol. 14(1), pages 3-22, February.
    17. Poorkavoos, Meysam & Duan, Yanqing & Edwards, John S. & Ramanathan, Ramakrishnan, 2016. "Identifying the configurational paths to innovation in SMEs: A fuzzy-set qualitative comparative analysis," Journal of Business Research, Elsevier, vol. 69(12), pages 5843-5854.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. repec:gam:jsusta:v:11:y:2019:i:8:p:2321-:d:223817 is not listed on IDEAS

    More about this item

    Keywords

    Human resource management; Human capital; Innovation; Fuzzy set qualitative comparative analysis (fsQCA);

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iso:educat:0089. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sara Brunner). General contact details of provider: http://edirc.repec.org/data/isuzhch.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.