Improvement of green procurement performance in the global supply chain: evidence from enterprise resource planning and social network analysis

Muhammad Shabir, Shaharudin and Syafiqa, Suhaimi and Fernando, Yudi and Wan Ahmad Fauzi, Wan Husain and Suparman, . (2021) Improvement of green procurement performance in the global supply chain: evidence from enterprise resource planning and social network analysis. International Journal of Industrial Management (IJIM), 10 (1). pp. 173-194. ISSN 2289-9286 (Print); 0127-564x (Online). (Published)

[img]
Preview
Pdf (Open Access)
document.pdf

Download (964kB) | Preview

Abstract

The purpose of this paper is to present a plan on how to improve the operational efficiency of the company during the Covid-19 period. Previous research has been reviewed in order to gain further knowledge of the problem; primarily on the operational performance, as well as on the supply chain management of the company. The results have shown that, on the basis of a social network analysis, the Procurement Engineer is the most influential individual in the management of information within the organization, where the Procurement Engineer is also the employee who has a strong link with the transfer of data to top management, the Ishikawa diagram indicates that the present environment is the primary cause of the company's problems in finding products, while the Tree diagram shows the only approach to the issue of insufficient employees is by supplying training for new or existing workers or by assigning staff from another department to serve permanently in a department where there is a lack of staff. In addition, the Enterprise Resource Planning (ERP) framework will strengthen the green supply chain management of the business as it will help to reduce the loss of time waiting for or processing the company's materials, thereby reducing the cost as well. This research offers proof of the pre-Covid 19and post-Covid 19 impacts on green supply chain operational performance.

Item Type: Article
Uncontrolled Keywords: Supply chain performance; Root cause analysis; Enterprise resource planning; Social network analysis
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Faculty/Division: Faculty of Industrial Management
Depositing User: PM. Dr. Wan Ahmad Fauzi Hashim @ Wan Husain
Date Deposited: 20 Apr 2021 07:05
Last Modified: 06 Jul 2021 07:05
URI: http://umpir.ump.edu.my/id/eprint/31194
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item