| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font

Show document Help

Title:Multi-criteria decision analysis of supply chain practices and firms performance in Nigeria
Authors:ID Amole, Bilqis Bolanle (Author)
ID Adebiyi, Sulaimon Olanrewaju (Author)
ID Oyenuga, Olamilekan Gbenga (Author)
Files:URL https://sciendo.com/article/10.2478/jlst-2021-0002
 
.pdf RAZ_Amole_Bilqis_Bolanle_2021.pdf (1,18 MB)
MD5: 38370B9B4A29A3D7504E0240E69FB835
 
Language:English
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FL - Faculty of Logistic
Abstract:Companies are facing numerous pressures and challenges in order to be competitive in the market and meet the requirements of their customers which require an improvement in the supply chain practices of the firms to be more effective and efficient for sustainable competitive advantage. This study examines the use of a multi-criteria decision making method using analytic network process (ANP) to estimate the how supply chain activities of the selected manufacturing firms’ influences its firm performance in other to enhance the satisfaction of customers. The population of the study is the manufacturing firms quoted in the Nigeria stock exchange. An ANP-based questionnaire was administered to Managers of selected manufacturing firms for pairwise comparison of supply chain factors relative influences and dependencies on their customers. A nonlinear network model was built to capture all the factors of supply chain practices and firms performance into clusters, nodes and dependences for the purpose of estimating various influences supply chain practices on the performance of the various companies studied. Data collected were analysed using software of Super decision 3.0 version. The results revealed factors of supply chain practices that have a great connection with one another and strong relationship indicating that without the implementing the key factors of supply chain there would not be a significant improvement in the performance of the organisation which will also affects the desire of the customers. The ANP model has helped to show the interdependencies and feedback among the various factors of practices of supply chain to augment the level of performance of the firms.
Keywords:analytical network process, supply chain, strategic supplier partnership, supply chain integration, outsourcing, customer relationship management
Publication status:Published
Publication version:Version of Record
Publication date:18.01.2022
Year of publishing:2021
Number of pages:str. 17-30
Numbering:Letn. 12, št. 1
PID:20.500.12556/DKUM-90111 New window
UDC:658.7
ISSN on article:2784-7497
COBISS.SI-ID:126981635 New window
DOI:10.2478/jlst-2021-0002 New window
Publication date in DKUM:23.08.2024
Views:229
Downloads:15
Metadata:XML DC-XML DC-RDF
Categories:Misc.
:
Copy citation
  
Average score:(0 votes)
Your score:Voting is allowed only for logged in users.
Share:Bookmark and Share



Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

Record is a part of a journal

Title:Logistics, supply chain, sustainability and global challenges
Publisher:Fakulteta za logistiko, De Gruyter Poland
ISSN:2784-7497
COBISS.SI-ID:90175235 New window

Licences

License:CC BY-NC-ND 3.0, Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported
Link:http://creativecommons.org/licenses/by-nc-nd/3.0/
Description:You are free to reproduce and redistribute the material in any medium or format. You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes. If you remix, transform, or build upon the material, you may not distribute the modified material. You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Secondary language

Language:Slovenian
Keywords:analitični mrežni proces, dobavne verige, strateško dobaviteljsko partnerstvo, integracija dobavne verige, zunanje izvajanje, upravljanje odnosov s strankami


Collection

This document is a part of these collections:
  1. Logistics, supply chain, sustainability and global challenges

Comments

Leave comment

You must log in to leave a comment.

Comments (0)
0 - 0 / 0
 
There are no comments!

Back
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica