Structural Equation Modelling of Resource Commitment Constructs as a Predictor of Implementation of Reverse Supply Chain Management

Ohiomah Ifije, Clinton Aigbavboa, Nita Sukdeo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper reports the use of Structural Equation Modelling technique to test the influence of resource commitment as a predictor of reverse supply chain management implementation. The study was conducted among professionals involved in supply chain and reverse supply chain using a survey method for data collection. At total of 314 questionnaires were filled completely and retuned back. The data gathered was analysed using structural equation modelling, which was used to assess the factorial structure of the constructs, the structural equation modelling software used was the Amos 26.0. the factorial structure, reliability and validity of resource commitment indicator variables were investigated. The finding revealed a positive influence on the outcome of the implementation of RSC. Further SEM analysis revealed that the Rho and the Cronbach’s alpha coefficients of internal consistency were over 0.70 criterions for acceptability, and the constructs shows a good mode fit to the sample data.

Original languageEnglish
Title of host publicationAdvances in Manufacturing, Production Management and Process Control - Proceedings of the AHFE 2021 Virtual Conferences on Human Aspects of Advanced Manufacturing, Advanced Production Management and Process Control, and Additive Manufacturing, Modeling Systems and 3D Prototyping, 2021
EditorsStefan Trzcielinski, Beata Mrugalska, Waldemar Karwowski, Emilio Rossi, Massimo Di Nicolantonio
PublisherSpringer Science and Business Media Deutschland GmbH
Pages237-244
Number of pages8
ISBN (Print)9783030804619
DOIs
Publication statusPublished - 2021
EventAHFE Conferences on Human Aspects of Advanced Manufacturing, Advanced Production Management and Process Control, and Additive Manufacturing, Modeling Systems and 3D Prototyping, 2021 - Virtual, Online
Duration: 25 Jul 202129 Jul 2021

Publication series

NameLecture Notes in Networks and Systems
Volume274
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceAHFE Conferences on Human Aspects of Advanced Manufacturing, Advanced Production Management and Process Control, and Additive Manufacturing, Modeling Systems and 3D Prototyping, 2021
CityVirtual, Online
Period25/07/2129/07/21

Keywords

  • Manufacturing
  • Resource commitment
  • Reverse supply chain
  • South Africa

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications

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