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Measuring collaborative effectiveness: a conceptual approach

Kumaraguru Mahadevan (Central Queensland University, Sydney, Australia)

International Journal of Productivity and Performance Management

ISSN: 1741-0401

Article publication date: 13 November 2017




The purpose of this paper is to present a conceptual supply chain (SC) hierarchical framework to measure the effectiveness and efficiency of the collaborative SC based on the Maslow’s hierarchy of needs and supply chain integration (SCI), supply chain visibility (SCV) and information sharing (IS).


Multimethods were applied. The first part of the research was undertaken using a deductive approach with rigorous and systematic analysis of the research material and the use of a survey instrument. The data collected through the survey are analysed and presented with descriptive statistics and cross-tabulations. The second part of the research is an extension of the analysis of the first part linking with the Maslow’s hierarchy of needs to form the basis for development of the SCI hierarchy.


The levels of SCI, SCV and IS are significantly different for organisation dimensions such as size, industry type and region of operations. The SCI hierarchy based on Maslow’s hierarchy of needs provides a number of indices to measure the effectiveness of SCI, IS, SCV in a collaborative SC.

Research limitations/implications

The research focusses only on manufacturing, 3PL, fast-moving consumer goods and retail industries.

Practical implications

The research work provides some insights for practitioners on best practices for SC collaboration and measurement of collaborative effectiveness.


The primary value of this paper is the development of standardized levels of SCI, IS and SCV and the proposed measurement of the collaborative effectiveness of the SC. It could be a proposed approach for empirically evaluating the levels of SCI, IS and SCV subject to organisational dimensions.



Mahadevan, K. (2017), "Measuring collaborative effectiveness: a conceptual approach", International Journal of Productivity and Performance Management, Vol. 66 No. 8, pp. 1105-1127.



Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited

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