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Measuring Supply Chain Integration — Using the Q-Sort Technique

In: Research Methodologies in Supply Chain Management

Author

Listed:
  • Sakun Boon-itt

    (Thammsat University)

  • Himangshu Paul

    (Asian Institute of Technology)

Abstract

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.

Suggested Citation

  • Sakun Boon-itt & Himangshu Paul, 2005. "Measuring Supply Chain Integration — Using the Q-Sort Technique," Springer Books, in: Herbert Kotzab & Stefan Seuring & Martin Müller & Gerald Reiner (ed.), Research Methodologies in Supply Chain Management, pages 47-58, Springer.
  • Handle: RePEc:spr:sprchp:978-3-7908-1636-5_4
    DOI: 10.1007/3-7908-1636-1_4
    as

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    Keywords

    Supply Chain Integration; Q-Sort Technique;

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