Analysis of government-supported health-care supply chain enablers: a case study

Abstract

Purpose

The purpose of this paper is to identify, analyze and classify (i.e. driving and dependence power) the government-supported health-care supply chain enablers (GHSCEs) in rural areas of India for enhancing availability and minimizing wastage of generic medicines.

Design/methodology/approach

A methodology is proposed using interpretive structural modeling (ISM) – fuzzy matriced impacts croises multiplication appliqueeaun classement (Fuzzy MICMAC) analysis to analyze the GHSCEs on the basis of inputs collected from various stakeholders about their driving and dependence power.

Findings

The performance measurement system, employee recognition and reward, technology adoption, training cell and inbuilt analytical tool for IT system were found to be the appropriate GHSCEs where efforts and resources should be put for enhancing availability and minimizing wastage.

Research limitations/implications

The proposed approach provides a platform for the both researchers and academicians to understand the GHSCEs and their relationships. It also provides the direction to the government for optimally allocating the efforts and resources to enhance the current performance level of generic drug distribution.

Originality/value

Although many issues related to health-care supply chain have been widely researched and reported, no literature has been found for analysis of GHSCEs to choose the appropriate set of GHSCEs for supply chain performance improvement in general and developing country like India in specific.

Citation

Dixit, A., Routroy, S. and Dubey, S.K. (2020), "Analysis of government-supported health-care supply chain enablers: a case study", Journal of Global Operations and Strategic Sourcing, Vol. 13 No. 1, pp. 1-16. https://doi.org/10.1108/JGOSS-02-2019-0011