IDEAS home Printed from https://ideas.repec.org/h/spr/innchp/978-3-319-05651-7_1.html
   My bibliography  Save this book chapter

Quality Culture Selection for New Product Development (NPD) Organizations Using Hierarchical Decision Modeling (HDM)

In: Technology Development

Author

Listed:
  • James Eastham

    (TriQuint Semiconductor)

  • David Tucker

    (New Kinpo Group)

  • Joe Smith

    (Blount International)

  • Sumir Varma

    (TriQuint Semiconductor)

  • Tugrul U. Daim

    (Portland State University)

Abstract

Many companies implement quality systems and subsequently the corresponding cultures in an effort to improve product or system quality and increase profits. Selecting which quality culture to employ is often difficult as the differences between the cultures are not always clear. Companies often commit to a quality culture without fully understanding the benefits and drawbacks a certain system might have to different parts of the business, including New Product Development (NPD). In this paper we present a Hierarchical Decision Model (HDM) aimed at assisting senior managers in the selection of the right quality culture that specifically improves NPD factors. We apply the HDM to three different companies, each from different business sectors and with distinct goals. Three quality cultures are compared: Lean, Six Sigma, and Theory of Constraints (ToC). Recommendations are formulated based on the model output. We discuss the results and which quality culture might be best for each company to endorse.

Suggested Citation

  • James Eastham & David Tucker & Joe Smith & Sumir Varma & Tugrul U. Daim, 2014. "Quality Culture Selection for New Product Development (NPD) Organizations Using Hierarchical Decision Modeling (HDM)," Innovation, Technology, and Knowledge Management, in: Tugrul U. Daim & Ramin Neshati & Russell Watt & James Eastham (ed.), Technology Development, edition 127, chapter 0, pages 3-22, Springer.
  • Handle: RePEc:spr:innchp:978-3-319-05651-7_1
    DOI: 10.1007/978-3-319-05651-7_1
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:innchp:978-3-319-05651-7_1. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.