Non-response bias assessment in logistics survey research: use fewer tests?

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2014-05-27
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Clottey, Toyin
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Grawe, Scott
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Supply Chain Management
Supply chain management is an integrated program of study concerned with the efficient flow of materials, products, and information within and among organizations. It involves the integration of business processes across organizations, from material sources and suppliers through manufacturing, and processing to the final customer. The program provides you with the core knowledge related to a wide variety of supply chain activities, including demand planning, purchasing, transportation management, warehouse management, inventory control, material handling, product and service support, information technology, and strategic supply chain management.
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Abstract

Purpose: The purpose of this paper is to consider the concepts of individual and complete statistical power used for multiple testing and shows their relevance for determining the number of statistical tests to perform when assessing non-response bias.

Design/methodology/approach: A statistical power analysis of 55 survey-based research papers published in three prestigious logistics journals (International Journal of Physical Distribution and Logistics Management, Journal of Business Logistics, Transportation Journal) over the last decade was conducted.

Findings Results: show that some of the low complete power levels encountered could have been avoided if fewer tests had been used in the assessment of non-response bias.

Originality/value: The research offers important recommendations to scholars engaged in survey research as they assess the effects of non-respondents on research findings. By following the recommended strategies for testing non-response bias, researchers can improve the statistical power of their findings.

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This accepted article is published as A. Clottey, T. and J. Grawe, S. (2014), "Non-response bias assessment in logistics survey research: use fewer tests?", International Journal of Physical Distribution & Logistics Management, Vol. 44 No. 5, pp. 412-426. doi: 10.1108/IJPDLM-10-2012-0314. Posted with permission.

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Wed Jan 01 00:00:00 UTC 2014
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