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Organizing for innovation over an industry cycle

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  • Paul Strebel

Abstract

The basic hypothesis in this paper is that a gap tends to develop over an industry's evolution between potential innovators in a company and the organizational mainstream. The innovative gap is a function of the type of innovation needed for longer‐run survival and the disposition of the mainstream organization towards innovation. This hypothesis is used to predict which of four popular organizations for innovation is most suited to each stage of an idealized industry's evolution. The predicted organization set is discussed in terms of well‐known cases, and tested in an exploratory manner using executive survey data.

Suggested Citation

  • Paul Strebel, 1987. "Organizing for innovation over an industry cycle," Strategic Management Journal, Wiley Blackwell, vol. 8(2), pages 117-124, March.
    • Handle: RePEc:bla:stratm:v:8:y:1987:i:2:p:117-124
    DOI: 10.1002/smj.4250080203
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    Cited by:

    1. Bodas Freitas, Isabel Maria & Marques, Rosane Argou & Silva, Evando Mirra de Paula e, 2013. "University–industry collaboration and innovation in emergent and mature industries in new industrialized countries," Research Policy, Elsevier, vol. 42(2), pages 443-453.
    2. López Iturriaga, Félix & Marti­n Cruz, Natalia, 2008. "Antecedents of corporate spin-offs in Spain: A resource-based approach," Research Policy, Elsevier, vol. 37(6-7), pages 1047-1056, July.
    3. Anthony Goerzen & Paul W. Beamish, 2007. "The Penrose effect: “Excess” expatriates in multinational enterprises," Management International Review, Springer, vol. 47(2), pages 221-239, March.
    4. Da Mota de Pina E Cunha, A.M. & Verhallen, T.M.M., 1998. "Organizational innovation : An overview of topics, models and research directions," Other publications TiSEM 03119425-3fea-4334-ad00-2, Tilburg University, School of Economics and Management.
    5. Malhotra, M. K. & Grover, V. & Desilvio, M., 1996. "Reengineering the new product development process: A framework for innovation and flexibility in high technology firms," Omega, Elsevier, vol. 24(4), pages 425-441, August.
    6. Levesque, Moren & Shepherd, Dean A., 2002. "A new venture's optimal entry time," European Journal of Operational Research, Elsevier, vol. 139(3), pages 626-642, June.
    7. Gabsi, Foued & Mhenni, Hatem & Koouba, Karim, 2008. "Innovation Determinants in Emerging Countries: An Empirical Study at the Tunisian Firms level," MPRA Paper 17940, University Library of Munich, Germany, revised 2008.
    8. Klenner, Philipp & Hüsig, Stefan & Dowling, Michael, 2013. "Ex-ante evaluation of disruptive susceptibility in established value networks—When are markets ready for disruptive innovations?," Research Policy, Elsevier, vol. 42(4), pages 914-927.
    9. Gabsi, Foued & Mhenni, Hatem & Koouba, Karim, 2010. "Determinants of Innovation in Emerging Country: an empirical study at the Tunisian firm level," MPRA Paper 46182, University Library of Munich, Germany, revised 2008.
    10. Sebastian Raisch & Michael L. Tushman, 2016. "Growing New Corporate Businesses: From Initiation to Graduation," Organization Science, INFORMS, vol. 27(5), pages 1237-1257, October.
    11. Vittori, Davide & Natalicchio, Angelo & Panniello, Umberto & Messeni Petruzzelli, Antonio & Cupertino, Francesco, 2022. "Business Model Innovation between the embryonic and growth stages of industry lifecycle," Technovation, Elsevier, vol. 117(C).

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