IDEAS home Printed from https://ideas.repec.org/p/mit/sloanp/695.html
   My bibliography  Save this paper

Shifting Innovation to Users Via Toolkits

Author

Listed:
  • Von Hippel, Eric A.
  • Katz, Ralph

Abstract

In the traditional new product development process, manufacturers first explore user needs and then develop responsive products. Developing an accurate understanding of user needs is not simple or fast or cheap however, and the traditional approach is coming under increasing strain as user needs change more rapidly, and as firms increasingly seek to serve "markets of one." Toolkits for user innovation is an emerging alternative approach in which manufacturers actually abandon the attempt to understand user needs in detail in favor of transferring need-related aspects of product and service development to users. Experience in fields where the toolkit approach has been pioneered show custom products being developed much more quickly and at a lower cost. In this paper we explore toolkits for user innovation and explain why and how they work.

Suggested Citation

  • Von Hippel, Eric A. & Katz, Ralph, 2002. "Shifting Innovation to Users Via Toolkits," Working papers 4232-02, Massachusetts Institute of Technology (MIT), Sloan School of Management.
  • Handle: RePEc:mit:sloanp:695
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/1721.1/695
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. von Hippel, Eric & Tyre, Marcie J., 1995. "How learning by doing is done: problem identification in novel process equipment," Research Policy, Elsevier, vol. 24(1), pages 1-12, January.
    2. Richard R. Nelson, 1982. "The Role of Knowledge in R&D Efficiency," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 97(3), pages 453-470.
    3. Stefan H. Thomke, 1998. "Managing Experimentation in the Design of New Products," Management Science, INFORMS, vol. 44(6), pages 743-762, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Eric von Hippel & Ralph Katz, 2002. "Shifting Innovation to Users via Toolkits," Management Science, INFORMS, vol. 48(7), pages 821-833, July.
    2. Marco Iansiti, 2000. "How the Incumbent Can Win: Managing Technological Transitions in the Semiconductor Industry," Management Science, INFORMS, vol. 46(2), pages 169-185, February.
    3. Becker, Markus C. & Salvatore, Pasquale & Zirpoli, Francesco, 2005. "The impact of virtual simulation tools on problem-solving and new product development organization," Research Policy, Elsevier, vol. 34(9), pages 1305-1321, November.
    4. Sánchez-González, Gloria & González-Álvarez, Nuria & Nieto, Mariano, 2009. "Sticky information and heterogeneous needs as determining factors of R&D cooperation with customers," Research Policy, Elsevier, vol. 38(10), pages 1590-1603, December.
    5. Eric von Hippel, 1998. "Economics of Product Development by Users: The Impact of "Sticky" Local Information," Management Science, INFORMS, vol. 44(5), pages 629-644, May.
    6. West, Jonathan & Iansiti, Marco, 2003. "Experience, experimentation, and the accumulation of knowledge: the evolution of R&D in the semiconductor industry," Research Policy, Elsevier, vol. 32(5), pages 809-825, May.
    7. Pisano, Gary P., 1996. "Learning-before-doing in the development of new process technology," Research Policy, Elsevier, vol. 25(7), pages 1097-1119, October.
    8. Thomke, Stefan & von Hippel, Eric & Franke, Roland, 1998. "Modes of experimentation: an innovation process--and competitive--variable," Research Policy, Elsevier, vol. 27(3), pages 315-332, July.
    9. Agathe Gilain & Pascal Le Masson & Benoit Weil, 2018. "Managing Learning Curves In The Unknown: From ‘Learning By Doing’ To ‘Learning By Designing’," Post-Print hal-01900961, HAL.
    10. Arie Y Lewin & Silvia Massini & Carine Peeters, 2020. "Absorptive capacity, socially enabling mechanisms, and the role of learning from trial and error experiments: A tribute to Dan Levinthal’s contribution to international business research," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 51(9), pages 1568-1579, December.
    11. Barge-Gil, Andrés & López, Alberto, 2014. "R&D determinants: Accounting for the differences between research and development," Research Policy, Elsevier, vol. 43(9), pages 1634-1648.
    12. Hempell, Thomas, 2002. "Does Experience Matter? Innovations and the Productivity of ICT in German Services," ZEW Discussion Papers 02-43, ZEW - Leibniz Centre for European Economic Research.
    13. Yuchen Zhang & Wei Yang, 2022. "Breakthrough invention and problem complexity: Evidence from a quasi‐experiment," Strategic Management Journal, Wiley Blackwell, vol. 43(12), pages 2510-2544, December.
    14. Mutinelli, Marco & Piscitello, Lucia, 1998. "The entry mode choice of MNEs: an evolutionary approach," Research Policy, Elsevier, vol. 27(5), pages 491-506, September.
    15. Toole, Andrew A. & King, John L., 2011. "Industry-science connections in agriculture: Do public science collaborations and knowledge flows contribute to firm-level agricultural research productivity?," ZEW Discussion Papers 11-064, ZEW - Leibniz Centre for European Economic Research.
    16. Cujean, Julien & Bustamante, Maria Cecilia & Frésard, Laurent, 2019. "Knowledge Cycles and Corporate Investment," CEPR Discussion Papers 14152, C.E.P.R. Discussion Papers.
    17. Nanditha Mathew & George Paily, 2022. "STI-DUI innovation modes and firm performance in the Indian capital goods industry: Do small firms differ from large ones?," The Journal of Technology Transfer, Springer, vol. 47(2), pages 435-458, April.
    18. Thomas Gillier & Gérald Piat, 2011. "Exploring over the Presumed Identity of Emerging Technology," Grenoble Ecole de Management (Post-Print) hal-00641765, HAL.
    19. Jaan Masso & Amaresh K Tiwari, 2021. "Productivity Implications Of R&D, Innovation And Capital Accumulation For Incumbents And Entrants: The Case Of Estonia," University of Tartu - Faculty of Economics and Business Administration Working Paper Series 130, Faculty of Economics and Business Administration, University of Tartu (Estonia).
    20. Quatraro, Francesco, 2008. "Regional Knowledge Base and Productivity Growth: The Evidence of Italian Manufacturing," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 200810, University of Turin.

    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:mit:sloanp:695. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: None (email available below). General contact details of provider: https://edirc.repec.org/data/ssmitus.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.