Municipal supply chain performance through information sharing and stakeholder collaboration

Author:

Ngxesha Cynthia N.ORCID,Langton IrvineORCID,Mafini ChengedzaiORCID

Abstract

Background: The effectiveness of information sharing between municipalities and their stakeholders remains an important area for consideration in the improvement of supply chain performance.Aim: This article responds to municipal service delivery challenges in South Africa by testing a model for improving supply chain performance (SCP) through information sharing (IS) and stakeholder collaboration in municipalities.Setting: The setting includes two metropolitan municipalities in the Eastern Cape Province of South Africa.Method: The study employed a cross-sectional survey involving 370 supply chain role players. Hypothesised relationships were tested using structural equation modelling.Results: The results revealed that information sharing is positively associated with stakeholder trust, governance and administration and stakeholder relationship continuity. Stakeholder trust, governance and administration, and stakeholder relationship continuity are positively related to the fluency of stakeholder collaboration. Full mediation between the constructs was observed for all relationships tested in the study.Conclusion: The article demonstrates the application of information sharing through, stakeholder trust, governance and administration, and stakeholder relationship continuity in predicting supply chain performance in South African municipalities. The overall outcome of the study is that information sharing and stakeholder relationships are essential drivers of municipal supply chain performance.Contribution: The study contributes to supply chain management literature by providing insights into how municipalities can utilise information to improve stakeholder relationships and enhance service delivery performance. This study could unlock some keys to overcoming municipal service delivery challenges in South Africa.

Publisher

AOSIS

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3