IDEAS home Printed from https://ideas.repec.org/a/spr/opmare/v9y2016i1d10.1007_s12063-016-0108-x.html
   My bibliography  Save this article

Toward a continuum of measurement scales in Just-in-Time (JIT) research – an examination of the predictive validity of single-item and multiple-item measures

Author

Listed:
  • Anand Nair

    () (Michigan State University)

  • Cigdem Ataseven

    () (Cleveland State University)

  • Marco Habermann

    () (Ohio University)

  • David Dreyfus

    () (Michigan State University)

Abstract

Abstract We compare the predictive validity of single-item and multiple-item measures utilized in Just-in-Time (JIT) research. The study examines if single-item measures could be used for some of the JIT practices, especially if the object of inquiry is concrete singular and if the attribute to be researched is concrete. Arguments are developed for the concrete nature of the JIT practice of “set-up time reduction” and we examine the ability of a single-item measure of this variable to predict the criterion variable (delivery performance). In addition, the study also examines the efficacy of using multiple-item measures for variables that are abstract in nature, and thereby attempts to develop a continuum of JIT constructs ranging from concrete to abstract. The results obtained by analyzing two sets of survey data show that multiple-item measures are not necessarily more valid than single-item measures for all constructs. The findings provide evidence that multiple-item measures and single-item measures for scale development should be contingent upon the nature of constructs. For concrete constructs, single-item measures are as valid as multi-item measures. Meanwhile, for abstract constructs it is important to ensure that multiple items are considered to capture the multi-dimensional nature of these constructs. Results also reveal that JIT practices display significant differences in terms of abstract/concrete perceptions. The paper presents theoretical and practical implications of the findings, and offers directions for future research.

Suggested Citation

  • Anand Nair & Cigdem Ataseven & Marco Habermann & David Dreyfus, 2016. "Toward a continuum of measurement scales in Just-in-Time (JIT) research – an examination of the predictive validity of single-item and multiple-item measures," Operations Management Research, Springer, vol. 9(1), pages 35-48, June.
  • Handle: RePEc:spr:opmare:v:9:y:2016:i:1:d:10.1007_s12063-016-0108-x
    DOI: 10.1007/s12063-016-0108-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12063-016-0108-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    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. Hans H.J. Labohm, 2002. "Climate Change: Unravelling a Dogma," Energy & Environment, , vol. 13(3), pages 341-352, July.
    2. N. Venkatraman, 1989. "Strategic Orientation of Business Enterprises: The Construct, Dimensionality, and Measurement," Management Science, INFORMS, vol. 35(8), pages 942-962, August.
    3. Richard E. White & John N. Pearson & Jeffrey R. Wilson, 1999. "JIT Manufacturing: A Survey of Implementations in Small and Large U.S. Manufacturers," Management Science, INFORMS, vol. 45(1), pages 1-15, January.
    4. Bortolotti, Thomas & Danese, Pamela & Flynn, Barbara B. & Romano, Pietro, 2015. "Leveraging fitness and lean bundles to build the cumulative performance sand cone model," International Journal of Production Economics, Elsevier, vol. 162(C), pages 227-241.
    5. Kwon, Hyungil & Trail, Galen, 2005. "The Feasibility of Single-Item Measures in Sport Loyalty Research," Sport Management Review, Elsevier, vol. 8(1), pages 69-88, May.
    6. ., 2002. "Analysis of choice modelling data," Chapters, in: Economic Valuation with Stated Preference Techniques, chapter 7, Edward Elgar Publishing.
    7. ., 2002. "Designing a choice modelling questionnaire," Chapters, in: Economic Valuation with Stated Preference Techniques, chapter 6, Edward Elgar Publishing.
    8. Sadao Sakakibara & Barbara B. Flynn & Roger G. Schroeder & William T. Morris, 1997. "The Impact of Just-in-Time Manufacturing and Its Infrastructure on Manufacturing Performance," Management Science, INFORMS, vol. 43(9), pages 1246-1257, September.
    Full references (including those not matched with items on IDEAS)

    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:opmare:v:9:y:2016:i:1:d:10.1007_s12063-016-0108-x. See general information about how to correct material in RePEc.

    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). General contact details of provider: http://www.springer.com .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.