Measuring Supply Chain Integration — Using the Q-Sort Technique

Sakun Boon-itt () and Himangshu Paul ()
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Sakun Boon-itt: Thammsat University
Himangshu Paul: Asian Institute of Technology

A chapter in Research Methodologies in Supply Chain Management, 2005, pp 47-58 from Springer

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.

Keywords: Supply Chain Integration; Q-Sort Technique (search for similar items in EconPapers)
Date: 2005
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-1636-5_4

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DOI: 10.1007/3-7908-1636-1_4

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