Skip to main content

Measuring Supply Chain Integration — Using the Q-Sort Technique

  • Chapter

Summary

Supply chain integration is an important topic for researchers and practitioners. However, the major concerns constraining the full and complete use of this concept in supply chain management research has been that the construct takes on its own meaning depending on individual subjectivity and different points of view. There is a need for researchers to operationalize and measure what it means by “supply chain integration.” The basic research question is whether a meaningful measure of supply chain integration could be developed. The Q-sort techniques could be used to cluster stimuli from subjective judgments to form a description of an indescribable object. This paper describes how the Q-sort technique could be used in the scale development process, and applies it to the context of measuring supply chain integration. The results indicate that the Q-sort technique is a useful methodological approach in eliminating the validity and reliability problems particularly in the early scale development stages for defining the construct of supply chain integration.

Keywords

  • Supply Chain Integration
  • Q-Sort Technique

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (Canada)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   149.00
Price excludes VAT (Canada)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   199.99
Price excludes VAT (Canada)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

6 References

  • Bowersox, D. J., Closs, D. J., Stank, T. P. (2000): Ten Mega-Trends That Will Revolutionize Supply Chain Logistics, in: Journal of Business Logistics, 21(2): 1–16.

    Google Scholar 

  • Brown, W. (1986): Q Technique and Methods; Principles and Procedures, in: Berry, W., Lewis-Beck, M. (eds.): New Tools for Social Scientists; Advances and Applications in Research Methods, Sage, London.

    Google Scholar 

  • Chandra, C., Kumar, S. (2001): Supply Chain Management in Theory and Practice: A Passing Fad or a Fundamental Change?, in: Industrial Management and Data System, 100(3): 100–113.

    Google Scholar 

  • Childerhouse, P., Hermiz, R., Mason-Jones, R., Popp, A., Towil, D. R. (2003): Information Flow in Automotive Supply Chains: Identifying and Learning to Overcome Barriers to Change, in: Industrial Management and Data Systems, 103(7): 491–502.

    Google Scholar 

  • Claycomb, C., Droge, C., Germain, R. (1999): The Effect of Just-in-Time With Customers on Organizational Design and Performance, in: The International Journal of Logistics Management, 10(1): 37–58.

    Google Scholar 

  • Dong, Y., Carter, C.R., Dresner, M. E., (2001): Just in Time Purchasing and Performance: An Exploratory Analysis of Buyer and Supplier Perspectives, in: Journal of Operations Management, 19: 471–483.

    CrossRef  Google Scholar 

  • Ekinci, Y., Riley, M. (1999): Measuring Hotel Quality: Back to Basics, in: International Journal of Contemporary Hospitality Management, (11) 6: 287–293.

    Google Scholar 

  • Frohlich, M. T. (2002): E-integration in the Supply Chain: Barriers and Performance, in: Decision Science, 33(4): 537–555.

    MathSciNet  Google Scholar 

  • Frohlich, M. T., Westbrook, R. (2001): Arcs of Integration: An International Study of Supply Chain Strategies, in: Journal of Operations Management, 19(2): 185–200.

    CrossRef  Google Scholar 

  • Hinkin, T. R., Schriesheim, C. A. (1989): Development and Application of New Scales to Measure the Frech and Raven (1959) bases of Social Power, in: Journal of Applied Psychology, (74)4: 561–567.

    Google Scholar 

  • Hinkin, T. R., Tracey, J. B., Enz, C. A. (1997): Scale Construction: Developing Reliable and Valid Measurement Instruments, in: Journal of Hospitality and Tourism Research, (21)1: 100–120.

    Google Scholar 

  • Kendall, J. E., Kendall, K.E. (1993): Metaphors and Methodologies: Living Beyond the Systems Machine, in: MIS Quarterly, (17)3: 149–171.

    Google Scholar 

  • Kerlinger, F. (1986): Foundation of Behavioral Research, 3rd ed., Holy Reinhart and Winston, New York.

    Google Scholar 

  • Lambert, D. M., Cooper, M. C., Pagh, J. D. (1998): Supply Chain Management: Implementation Issues and Research Opportunities, in: The International Journal of Logistics Management, 9(2): 1–19.

    Google Scholar 

  • McKeown, B., Thomas, D. (1988): Q Methodology, University Paper 66, Sage, London.

    Google Scholar 

  • Morash, E. A., Clinton, S. R. (1998): Supply Chain Integration: Customer Value Through Collaborative Closeness Versus Operational Excellence, in: Journal of Marketing Theory and Practice, 6(4): 104–120.

    Google Scholar 

  • Narasimhan, R., Jayaram, J. (1998): Causal Linkage in Supply Chain Management; An Exploratory Study of North American Manufacturing Firms, in: Decision Science, 29(3): 579–605.

    Google Scholar 

  • Richeson, L., Lackey, C. W., Stranter, J. W. (1995): The Effect of Communication on The Linkage Between Manufacturing and Suppliers in a JIT Environment, in: International Journal of Purchasing and Materials Management, 31: 21–28.

    Google Scholar 

  • Sabath, R. (1995): Volatile Demand Calls for Quick Response: The Integrated Supply Chain, in: Logistics Information Management, 8(2): 49–52.

    CrossRef  Google Scholar 

  • Scanell, T. V., Vickery, S. K., Droge, C. L. (2000): Upstream Supply Chain Management and Competitive Performance in the Automotive Supply Chain Industry, in: Journal of Business Logistics, 21(1): 23–48.

    Google Scholar 

  • Spekman, R. E., Kamauff, J., Myhr, N. (1998): An Empirical Investigation Into Supply Chain Management: A Perspective on Partnerships, in: Supply Chain Management: An International Journal, 3(2): 53–67.

    Google Scholar 

  • Stank, T. P., Crum, M., Arango, M. (1999): Benefits of Interfirm Coordination in Food Industry Supply Chain, in: Journal of Business Logistics, 20(2): 21–41.

    Google Scholar 

  • Stank, T.P., Keller, S. B., Closs, D. J. (2001): Performance Benefits of Supply Chain Logistics Integration, in: Transportation Journal. 41(2/3): 32–46.

    Google Scholar 

  • Thomas, D. B., Baas, L. R. (1992): The Issue of Generalization in Q Methodology; Reliable Schematics Revisited, in: Operand Subjectivity, (16)1: 18–36.

    Google Scholar 

  • Tractinsky, N., Jarvenpaa, S. (1995): Information Systems Design Decisions in A Global Versus Domestic Context, in: Management Information Quarterly, December: 507–534.

    Google Scholar 

  • Turner, J. R. (1993): Integrated Supply Chain Management: What’s Wrong With This Picture, in: Industrial Engineer, 14: 190–202.

    Google Scholar 

  • Van Hoek, R. I., Vos, B., Commandeur, H. R. (1999): Restructuring European Supply Chains by Implementing Postponement Strategies, in: Long Range Planning, 32(5): 505–518.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2005 Physica-Verlag Heidelberg

About this chapter

Cite this chapter

Boon-itt, S., Paul, H. (2005). Measuring Supply Chain Integration — Using the Q-Sort Technique. In: Kotzab, H., Seuring, S., Müller, M., Reiner, G. (eds) Research Methodologies in Supply Chain Management. Physica-Verlag HD. https://doi.org/10.1007/3-7908-1636-1_4

Download citation

Publish with us

Policies and ethics