Green Supply Chain Management Development For Improving The Environmental Concerns Of Business

The green supply chain management (GSCM) is for protection of environmental, and industries can employ it to decrease side effects of environment and enhance proper application of energy and resources by considering the future. The purpose of this article is to use a quantitative-qualitative method to identify and develop a pattern of green supply chains in Indonesian industries and to examine the level of effectiveness and efficiency. The present study was conducted by examining the information of 21 companies engaged in Indonesian industries that have implemented GSCM in the last 5 years, during the years 2023-2024. For this purpose, green supply chain criteria showed that green process design, green innovation, green customers, environmental management approaches, and human resource management have the greatest impact on improving environmental performance, managing and optimizing energy consumption and cost of industries. The results showed that the use of GSCM decrease waste, resources, hence decreases energy consumption and environmental pollution. The employing of GSCM in industry, improve efficiency and performance. This article, which is the result of a descriptive-quantitative study, discusses and examines the current status of the GSCM, the characteristics and components of the green supply chain, and the benefits of establishing a green supply chain, so that managers can achieve competitive management by using GSCM.

Publication Details

Journal
Ubaya Repository (University of Surabaya)
Published
2025-03-01
Primary Topic
Diverse Scientific and Economic Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Green Supply Chain Management Development For Improving The Environmental Concerns Of Business

Ubaya Repository (University of Surabaya)
Diverse Scientific and Economic Studies
article

Green Supply Chain Management Development For Improving The Environmental Concerns Of Business

article en

Abstract

The green supply chain management (GSCM) is for protection of environmental, and industries can employ it to decrease side effects of environment and enhance proper application of energy and resources by considering the future. The purpose of this article is to use a quantitative-qualitative method to identify and develop a pattern of green supply chains in Indonesian industries and to examine the level of effectiveness and efficiency. The present study was conducted by examining the information of 21 companies engaged in Indonesian industries that have implemented GSCM in the last 5 years, during the years 2023-2024. For this purpose, green supply chain criteria showed that green process design, green innovation, green customers, environmental management approaches, and human resource management have the greatest impact on improving environmental performance, managing and optimizing energy consumption and cost of industries. The results showed that the use of GSCM decrease waste, resources, hence decreases energy consumption and environmental pollution. The employing of GSCM in industry, improve efficiency and performance. This article, which is the result of a descriptive-quantitative study, discusses and examines the current status of the GSCM, the characteristics and components of the green supply chain, and the benefits of establishing a green supply chain, so that managers can achieve competitive management by using GSCM.

Ubaya Repository (University of Surabaya)
Openalex Percentile: Top 39%
Diverse Scientific and Economic Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.