IDEAS home Printed from https://ideas.repec.org/a/spr/joinma/v29y2018i1d10.1007_s10845-015-1102-0.html
   My bibliography  Save this article

A novel method for determining the key customer requirements and innovation goals in customer collaborative product innovation

Author

Listed:
  • Fang Wang

    (Xidian University)

  • Hua Li

    (Xidian University)

  • Aijun Liu

    (Xidian University)

Abstract

Customer collaborative production innovation (CCPI) has become a worldwide new product design trend. The essential step to implement CCPI is to clear customer requirements and innovation goals for products. Based on the integration of traditional competitive priority ratings of customer requirements method for quality function deployment and grey relational analysis, this paper proposes a novel hybrid competitive priority ratings of customer requirements method for CCPI to identify the key customer requirements and innovation goals for a product. The method takes the heterogeneity of customers into consideration and allows different types of customers to assess customer requirements in their preferred or familiar formats which reflect their uncertainty degree. The proposed hybrid competitive priority ratings of customer requirements method represents a general approach for CCPI, does not require any transformation of multiform customers’ assessments that would cause information loss or information distortion. Its potential applications in determining the key customer requirements and innovation goals for CCPI are illustrated with a case study of smart phone development.

Suggested Citation

  • Fang Wang & Hua Li & Aijun Liu, 2018. "A novel method for determining the key customer requirements and innovation goals in customer collaborative product innovation," Journal of Intelligent Manufacturing, Springer, vol. 29(1), pages 211-225, January.
    • Handle: RePEc:spr:joinma:v:29:y:2018:i:1:d:10.1007_s10845-015-1102-0
    DOI: 10.1007/s10845-015-1102-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10845-015-1102-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10845-015-1102-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Chan, Lai-Kow & Wu, Ming-Lu, 2005. "A systematic approach to quality function deployment with a full illustrative example," Omega, Elsevier, vol. 33(2), pages 119-139, April.
    2. Glen L. Urban & Eric von Hippel, 1988. "Lead User Analyses for the Development of New Industrial Products," Management Science, INFORMS, vol. 34(5), pages 569-582, May.
    3. Berthon, Pierre R. & Pitt, Leyland F. & McCarthy, Ian & Kates, Steven M., 2007. "When customers get clever: Managerial approaches to dealing with creative consumers," Business Horizons, Elsevier, vol. 50(1), pages 39-47.
    4. Chen, Chun-Chih & Chuang, Ming-Chuen, 2008. "Integrating the Kano model into a robust design approach to enhance customer satisfaction with product design," International Journal of Production Economics, Elsevier, vol. 114(2), pages 667-681, August.
    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. Liang Hou & Roger J. Jiao, 2020. "Data-informed inverse design by product usage information: a review, framework and outlook," Journal of Intelligent Manufacturing, Springer, vol. 31(3), pages 529-552, March.

    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. Tianxiong Wang & Liu Yang, 2023. "Combining GRA with a Fuzzy QFD Model for the New Product Design and Development of Wickerwork Lamps," Sustainability, MDPI, vol. 15(5), pages 1-21, February.
    2. Kibaek Lee & Jaeheung Yoo & Munkee Choi & Hangjung Zo & Andrew P Ciganek, 2016. "Does External Knowledge Sourcing Enhance Market Performance? Evidence from the Korean Manufacturing Industry," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-19, December.
    3. Meinel, Martin & Eismann, Tobias T. & Baccarella, Christian V. & Fixson, Sebastian K. & Voigt, Kai-Ingo, 2020. "Does applying design thinking result in better new product concepts than a traditional innovation approach? An experimental comparison study," European Management Journal, Elsevier, vol. 38(4), pages 661-671.
    4. Olimpia I. BAN & Ioana T. MESTER, 2014. "Using Kano Two Dimensional Service Quality Classification And Characteristic Analysis From The Perspective Of Hotels' Clients Of Oradea," Revista de turism - studii si cercetari in turism / Journal of tourism - studies and research in tourism, "Stefan cel Mare" University of Suceava, Romania, Faculty of Economics and Public Administration - Economy, Business Administration and Tourism Department., vol. 18(18), pages 30-36, December.
    5. Oleg Curbatov, 2013. "The 'Knowledge Marketing': A New Trend In A Management Science World," Post-Print hal-01509370, HAL.
    6. Li, Yan-Lai & Tang, Jia-Fu & Chin, Kwai-Sang & Jiang, Yu-Shi & Han, Yi & Pu, Yun, 2011. "Estimating the final priority ratings of engineering characteristics in mature-period product improvement by MDBA and AHP," International Journal of Production Economics, Elsevier, vol. 131(2), pages 575-586, June.
    7. Elfvengren, K.Kalle & Karkkainen, Hannu & Torkkeli, Marko & Tuominen, Markku, 2004. "A GDSS based approach for the assessment of customer needs in industrial markets," International Journal of Production Economics, Elsevier, vol. 89(3), pages 275-292, June.
    8. Xiaolun Wang & Xinlin Yao, 2020. "Fueling Pro-Environmental Behaviors with Gamification Design: Identifying Key Elements in Ant Forest with the Kano Model," Sustainability, MDPI, vol. 12(6), pages 1-17, March.
    9. Franke, Nikolaus & von Hippel, Eric & Schreier, Martin, 2005. "Finding commercially attractive user innovations: A test of lead user theory," Working papers 4536-05, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    10. Tian Heong Chan & Shi-Ying Lim, 2023. "The Emergence of Novel Product Uses: An Investigation of Exaptations in IKEA Hacks," Management Science, INFORMS, vol. 69(5), pages 2870-2892, May.
    11. Habicht, Hagen & Oliveira, Pedro & Shcherbatiuk, Viktoriia, 2012. "User Innovators: When Patients Set Out to Help Themselves and End Up Helping Many," Die Unternehmung - Swiss Journal of Business Research and Practice, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 66(3), pages 277-295.
    12. Loris Gaio, 2005. "A diversity-based approach to requirements tracing in new product development," ROCK Working Papers 031, Department of Computer and Management Sciences, University of Trento, Italy, revised 13 Jun 2008.
    13. Hanna, Richard & Rohm, Andrew & Crittenden, Victoria L., 2011. "We're all connected: The power of the social media ecosystem," Business Horizons, Elsevier, vol. 54(3), pages 265-273, May.
    14. Pamela D. Morrison & John H. Roberts & Eric von Hippel, 2000. "Determinants of User Innovation and Innovation Sharing in a Local Market," Management Science, INFORMS, vol. 46(12), pages 1513-1527, December.
    15. Prpić, John & Shukla, Prashant P. & Kietzmann, Jan H. & McCarthy, Ian P., 2015. "How to work a crowd: Developing crowd capital through crowdsourcing," Business Horizons, Elsevier, vol. 58(1), pages 77-85.
    16. Maxim Kotsemir & Alexander Abroskin & Dirk Meissner, 2013. "Innovation concepts and typology – an evolutionary discussion," HSE Working papers WP BRP 05/STI/2013, National Research University Higher School of Economics.
    17. Thomas Gillier & Gérald Piat, 2011. "Exploring over the Presumed Identity of Emerging Technology," Grenoble Ecole de Management (Post-Print) hal-00641765, HAL.
    18. J-B Yang & D-L Xu & X Xie & A K Maddulapalli, 2011. "Multicriteria evidential reasoning decision modelling and analysis—prioritizing voices of customer," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(9), pages 1638-1654, September.
    19. Xin Chen & Chengxie Ma & Chengyu Tao, 2022. "Factors Influencing the Sustainability of Stroke Rehabilitation Services in Community: An Analysis Based on Kano Model," Sustainability, MDPI, vol. 14(20), pages 1-16, October.
    20. Folajimi Ashiru & Franklin Nakpodia & Jacqueline J You, 2023. "Adapting emerging digital communication technologies for resilience: evidence from Nigerian SMEs," Annals of Operations Research, Springer, vol. 327(2), pages 795-823, August.

    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:spr:joinma:v:29:y:2018:i:1:d:10.1007_s10845-015-1102-0. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.