A mathematical correlation between green supply chain management practices and supply chain performance variables: A model of cubical regression

Kumar, Manoj, Mittal, Ankur and Rao, T.Joji (2024) A mathematical correlation between green supply chain management practices and supply chain performance variables: A model of cubical regression. MethodsX, 13. ISSN 2215-0161

[thumbnail of 1-s2.0-S2215016124003637-main.pdf] Text
1-s2.0-S2215016124003637-main.pdf - Published Version
Restricted to Repository staff only

Download (4MB) | Request a copy

Abstract

The study conducted an exploratory analysis using the cubical regression technique to determine the Influence of various green supply practices on supply chain performance. Specifically, the study aimed to establish a relationship between green practices and performance, with the Indian leather industry serving as the context for a cross-case analysis. Through five case studies, the research examined five propositions, focusing on different green practices and their impact on performance parameters in the industry. The study’s main objective was to identify essential green practices that top management should consider in handling performance parameters. The research analyzed the Influence of these practices on critical performance parameters and used a cubical regression model to represent performance parameters against various green techniques graphically. The findings revealed that eco-friendly approaches significantly enhance product quality, customer satisfaction, and operational efficiency. Additionally, the study outlined factors that can affect green supply chain management. Finally, a cubical regression model was plotted on a curve to identify the Model that most strongly correlates with the Indian leather industry’s multiple performance indicators concerning green supply practices. Overall, the study offers valuable insights into the impact of green practices on performance parameters and guides top management in adopting eco-friendly approaches to enhance their supply chain performance.

Item Type: Article
Keywords: GSCM | Cubical regression | Case study approach
Subjects: Social Sciences and humanities > Business, Management and Accounting > Strategy and Management
Social Sciences and humanities > Business, Management and Accounting > Business and International Management
Social Sciences and humanities > Social Sciences > Social Sciences (General)
JGU School/Centre: Jindal Global Business School
Depositing User: Subhajit Bhattacharjee
Date Deposited: 12 Sep 2024 08:19
Last Modified: 12 Sep 2024 08:20
Official URL: https://doi.org/10.1016/j.mex.2024.102911
URI: https://pure.jgu.edu.in/id/eprint/8465

Downloads

Downloads per month over past year

Actions (login required)

View Item
View Item