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User producer interaction in context

Author

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  • Nahuis, Roel
  • Moors, Ellen H.M.
  • Smits, Ruud E.H.M.

Abstract

User producer interaction (UPI) increases chances for successful innovations. It is not always clear, however, what type of interaction is necessary in a particular context. This article identifies seven different types of UPI: constructing linkages, broadening, characterizing users, upstream involvement, first user enrollment, feedback, and downstream innovation. Specific contextual dimensions from which these UPI types derive relevance are discussed. The technological dimension of this context is conceptualized based on a distinction between types of technologies that differ in the degree to which they are customizable to user demands. Four case studies show that technological characteristics indeed matter for UPI, as do the heterogeneity of users and the phase of technology development.

Suggested Citation

  • Nahuis, Roel & Moors, Ellen H.M. & Smits, Ruud E.H.M., 2012. "User producer interaction in context," Technological Forecasting and Social Change, Elsevier, vol. 79(6), pages 1121-1134.
    • Handle: RePEc:eee:tefoso:v:79:y:2012:i:6:p:1121-1134
    DOI: 10.1016/j.techfore.2012.01.005
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    Citations

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    Cited by:

    1. Peine, Alexander & Rollwagen, Ingo & Neven, Louis, 2014. "The rise of the “innosumer”—Rethinking older technology users," Technological Forecasting and Social Change, Elsevier, vol. 82(C), pages 199-214.
    2. Jean-Claude Boldrini & Nathalie Schieb-Bienfait, 2015. "Collectively exploring the potential of technology derived from university research: the NanoMem case," Working Papers hal-01208517, HAL.
    3. Planko & Jacqueline Cramer & Maryse Chappin & Marko Hekkert, 2014. "Strategic collective system building by firms who launch sustainability innovations," Innovation Studies Utrecht (ISU) working paper series 14-04, Utrecht University, Department of Innovation Studies, revised Sep 2014.
    4. Peine & Ingo Rollwagen & Louis Neven, 2012. "Exploring new patterns of user involvement – baby boomers and the future of consumption," Innovation Studies Utrecht (ISU) working paper series 12-09, Utrecht University, Department of Innovation Studies, revised Sep 2012.
    5. Ricottilli, Massimo, 2015. "Innovation through local interaction, imitation and investment waves," Structural Change and Economic Dynamics, Elsevier, vol. 33(C), pages 58-70.
    6. Klein, Amarolinda & Sørensen, Carsten & Freitas, Angilberto Sabino de & Pedron, Cristiane Drebes & Elaluf-Calderwood, Silvia, 2020. "Understanding controversies in digital platform innovation processes: The Google Glass case," Technological Forecasting and Social Change, Elsevier, vol. 152(C).
    7. Simeon Ndubuisi Chidume & Isaiah I. Agbo, 2022. "Discourse-Rhetorical Strategies of Pauline Epistles: Rhetorical Situation Theory Approach to the Book of First Thessalonians," SAGE Open, , vol. 12(1), pages 21582440221, March.
    8. Radaelli, Giovanni & Lettieri, Emanuele & Frattini, Federico & Luzzini, Davide & Boaretto, Andrea, 2017. "Users' search mechanisms and risks of inappropriateness in healthcare innovations: The role of literacy and trust in professional contexts," Technological Forecasting and Social Change, Elsevier, vol. 120(C), pages 240-251.
    9. Schleich, Joachim & Walz, Rainer & Ragwitz, Mario, 2017. "Effects of policies on patenting in wind-power technologies," Energy Policy, Elsevier, vol. 108(C), pages 684-695.
    10. Flipse, Steven M. & van der Sanden, Maarten C.A. & Osseweijer, Patricia, 2014. "Improving industrial R&D practices with social and ethical aspects: Aligning key performance indicators with social and ethical aspects in food technology R&D," Technological Forecasting and Social Change, Elsevier, vol. 85(C), pages 185-197.
    11. Jiang, Xiaoxian & Jin, Ruijie & Gong, Min & Li, Mingzhu, 2022. "Are heterogeneous customers always good for iterative innovation?," Journal of Business Research, Elsevier, vol. 138(C), pages 324-334.
    12. Barnes, Stuart J. & Pressey, Andrew D., 2016. "Cyber-mavens and online flow experiences: Evidence from virtual worlds," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 285-296.
    13. Klerkx, Laurens & van Bommel, Severine & Bos, Bram & Holster, Henri & Zwartkruis, Joyce V. & Aarts, Noelle, 2012. "Design process outputs as boundary objects in agricultural innovation projects: Functions and limitations," Agricultural Systems, Elsevier, vol. 113(C), pages 39-49.

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