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Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Supplier Relationship Management and Supply Chain Performance in the Manufacturing Sector: A Systematic Review

Authors: Falodun, Odunayo Funmilola; Ayantoyinbo, Boye Benedit; Abiri, Oluwatosin Niyi;

Supplier Relationship Management and Supply Chain Performance in the Manufacturing Sector: A Systematic Review

Abstract

Abstract: Supplier Relationship Management (SRM) has received growing attention in literature as a strategic approach to improve supply chain performance in complex, uncertain, and competitive manufacturing environments. Although there is a growing number of empirical studies on SRM, the existing evidence on the impact of specific SRM practices on various supply chain performance dimensions is still fragmented. This study provides a comprehensive literature review to synthesise the current state of knowledge on the SRM and supply chain performance relationship in the manufacturing industry. Following the PRISMA 2020 protocol, a comprehensive literature search of prominent academic databases was conducted to identify peer-reviewed journal articles published between 2000 and 2025. After rigorous screening and eligibility criteria evaluation, 43 studies were selected for qualitative synthesis. The findings of this literature review show that SRM is a complex, multi-dimensional construct that includes trust, collaboration, information sharing, performance monitoring, and strategic alignment, which have all been found to have highly positive impacts on supply chain performance. The evidence clearly shows that improvements in operational efficiency, responsiveness and flexibility, product quality, and financial performance can be achieved through effective SRM practices. It was also demonstrated that the extent of these effects is contingent upon various context variables such as sectoral complexity, organisational capabilities, digital maturity, and environmental turbulence. Moreover, the research findings have pointed to some trends related to the integration of digital technology and sustainability aspects within SRM models, though research on these issues is still in its infancy. In conclusion, the present article contributed to theory by synthesising disparate knowledge into an integrative framework of SRM constructs and outcomes and practice by providing evidence-based advice for managers who wish to exploit their relationship with suppliers as a means of gaining competitive advantage within the context of manufacturing. Keywords: Supplier Relationship Management; Supply Chain Performance; Manufacturing Sector; Operational Performance. Title: Supplier Relationship Management and Supply Chain Performance in the Manufacturing Sector: A Systematic Review Author: Falodun, Odunayo Funmilola, Ayantoyinbo, Boye Benedit, Abiri, Oluwatosin Niyi International Journal of Novel Research in Interdisciplinary Studies ISSN 2394-9716 Vol. 13, Issue 1, January 2026 - February 2026 Page No: 21-31 Novelty Journals Website: www.noveltyjournals.com Published Date: 18-February-2026 DOI: https://doi.org/10.5281/zenodo.18678215 Paper Download Link (Source) https://www.noveltyjournals.com/upload/paper/Supplier%20Relationship%20Management-18022026-2.pdf

Keywords

Supplier Relationship Management, Supply Chain Performance, Operational Performance, Manufacturing Sector

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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