Home
GSC Advanced Research and Reviews
Peer-reviewed | Multidisciplinary Journal | Impact factor 8.3 | ISSN: 2582-4597 | Crossref DOI

Main navigation

  • Home
    • Journal Information
    • Editorial Board Members
    • Reviewer Panel
    • Abstracting and Indexing
    • Journal Policies
    • Our CrossMark Policy
    • Publication Ethics
    • Issue in Progress
    • Current Issue
    • Past Issues
    • Instructions for Authors
    • Article processing fee
    • Track Manuscript Status
    • Get Publication Certificate
    • Join Editorial Board
    • Join Reviewer Panel
  • Contact us
  • Downloads

Supplier relationship management for sustainability: A comprehensive review of business intelligence applications

Breadcrumb

  • Home
  • Supplier Relationship Management For Sustainability: A Comprehensive Review of Business Intelligence Applications
  • Supplier relationship management for sustainability: A comprehensive review of business intelligence applications

Patience Okpeke Paul 1, *, Akorede Victor Aderoju 2, Kazeem Shitu 3, Munachi Ijeoma Ononiwu 4, Abbey Ngochindo Igwe 5, Onyeka Chrisanctus Ofodile 6 and Chikezie Paul-Mikki Ewim 7

1 Henry Jackson Foundation Medical Research International Ltd/GTE, Nigeria.
2 Lafarge Africa Plc, Ikoyi, Lagos.
3 Wayfair, Lutterworth, England, UK.
4 Zenith Bank Plc, Lagos, Nigeria.
5 Independent Researcher, Port Harcourt, Nigeria.
6 Sanctus Maris Concepts Ltd.
7 Independent Researcher, Lagos.
 
Research Article
GSC Advanced Research and Reviews, 2024, 21(01), 328–350.
Article DOI: 10.30574/gscarr.2024.21.1.0381
DOI url: https://doi.org/10.30574/gscarr.2024.21.1.0381
Received on 10 September 2024; revised on 18 October 2024; accepted on 21 October 2024
 
Supplier relationship management (SRM) plays a crucial role in promoting sustainability across global supply chains. This paper provides a comprehensive review of the integration of business intelligence (BI) applications in SRM, examining their impact on enhancing sustainability outcomes. The study aims to explore how BI tools are being utilized to improve decision-making, monitor supplier performance, and support sustainable practices across various industries.
The research methodology involved a systematic review of academic literature and case studies, focusing on the role of BI in fostering transparency, reducing environmental impact, and improving supplier collaboration. Key findings reveal that BI applications provide real-time data analytics, predictive insights, and automation capabilities that enable organizations to track and optimize supplier performance against sustainability metrics. Additionally, the use of BI facilitates risk management by identifying potential sustainability challenges and offering actionable insights to mitigate them.
The review concludes that BI technologies significantly enhance SRM by fostering sustainable practices, improving supply chain visibility, and strengthening supplier partnerships. However, challenges such as data integration, technological adoption, and high implementation costs persist, particularly for small and medium-sized enterprises (SMEs). Future research should focus on addressing these barriers and exploring emerging BI trends that can further support sustainability efforts in SRM.
 
Supplier relationship management; Business intelligence; Sustainability; Supply chain; SMEs
 
https://gscarr.gsconlinepress.com/sites/default/files/fulltext_pdf/GSCARR-2024-…

Preview Article PDF

Patience Okpeke Paul, Akorede Victor Aderoju, Kazeem Shitu, Munachi Ijeoma Ononiwu, Abbey Ngochindo Igwe, Onyeka Chrisanctus Ofodile and Chikezie Paul-Mikki Ewim. Supplier relationship management for sustainability: A comprehensive review of business intelligence applications. GSC Advanced Research and Reviews, 2024, 21(1), 328-350. Article DOI: https://doi.org/10.30574/gscarr.2024.21.1.0381

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


All statements, opinions, and data contained in this publication are solely those of the individual author(s) and contributor(s). The journal, editors, reviewers, and publisher disclaim any responsibility or liability for the content, including accuracy, completeness, or any consequences arising from its use.

Get Certificates

Get Publication Certificate

Download LoA

Check Corssref DOI details

Issue details

Issue Cover Page

Editorial Board

Table of content

Copyright © 2026 GSC Advanced Research and Reviews - All rights reserved

Developed & Designed by VS Infosolution