An empirical investigation of supply chain operations reference model practices and supply chain performance: Evidence from manufacturing sector

Abstract

Purpose

The purpose of this paper is to develop and validate a scale measurement of supply chain operations reference (SCOR)-related performance indicators and proposed constructs, SCOR-related performance indicators as practices within the Indian manufacturing sector.

Design/methodology/approach

A literature-based model on SCOR processes with five constructs and respective performance indicators was empirically validated by using a structured questionnaire. A total of 155 respondents among Indian manufacturing sector participated in this research, and the returned questionnaires were analyzed by using structural equation modeling.

Findings

The study established a relationship among the SCOR-related performance indicators and overall supply chain performance indicators (OSCPI). The moderation effect of demographic characteristics, namely, employee size, company age and type of company showed significant differences between SCOR-related performance indicators and overall supply chain indicators.

Research limitations/implications

The scope of the study is limited to specific Indian manufacturing firms. The survey could not represent whole population of manufacturing sector.

Practical implications

The findings assist managers/supply chain practitioners in improving the performance measures identified using the standard framework, i.e., SCOR processes, overall supply chain performance measures as standard practices for Indian manufacturing sector for a profitable and sustainable business growth in global environment.

Originality/value

This research holds a value for suggested practices under SCOR processes and the proposed model for OSCPI, a path finder/performance measurement tool for supply chain professionals in the Indian context.

Citation

Kottala, S.Y. and Herbert, K. (2019), "An empirical investigation of supply chain operations reference model practices and supply chain performance: Evidence from manufacturing sector", International Journal of Productivity and Performance Management, Vol. 69 No. 9, pp. 1925-1954. https://doi.org/10.1108/IJPPM-09-2018-0337