Factors Influencing Industrial Waste Applying Information Technology andManaging Information Systems Towards Minimizing Waste Management

This study explores the surging of demand for manufactured products with the increasing of world’s population. While the manufacturing sector is essential in meeting this demand, it also faces the significant challenge of reducing the environmental impact of industrial waste. Manufacturing industrial waste primarily arises from by-products, over-extraction of natural resources, and inefficient production processes. Poor management of manufacturing processes would lead to adverse social impacts to human health, natural resources depletion, ecosystem destruction, and contribute to global warming and climate change. Additionally, improper waste disposal can result in financial losses and legal penalties for non-compliance with environmental regulations. Hence, it is imperative for the manufacturing sector to leverage emerging technologies and management strategies to mitigate these challenges. Therefore, this study used a quantitative approach to analyse primary data collected from the survey questionnaire to examine the relationship between independent and dependent variables. Combination of financial, technical, social, and governmental factors addressed in this project underscores the multifaceted approach required for effective waste management

Authors

Institutions

Publication Details

Journal
Journal of Business and Social Sciences
Published
2024-12-01
DOI
https://doi.org/10.61453/jobss.v2024no20
Primary Topic
Recycling and Waste Management Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Factors Influencing Industrial Waste Applying Information Technology andManaging Information Systems Towards Minimizing Waste Management

Cha Kian Teow, Ma Junzhe, Chong Kim Mee
Journal of Business and Social Sciences
Recycling and Waste Management Techniques
article

Factors Influencing Industrial Waste Applying Information Technology andManaging Information Systems Towards Minimizing Waste Management

Cha Kian Teow, Ma Junzhe, Chong Kim Mee
article en

Abstract

This study explores the surging of demand for manufactured products with the increasing of world’s population. While the manufacturing sector is essential in meeting this demand, it also faces the significant challenge of reducing the environmental impact of industrial waste. Manufacturing industrial waste primarily arises from by-products, over-extraction of natural resources, and inefficient production processes. Poor management of manufacturing processes would lead to adverse social impacts to human health, natural resources depletion, ecosystem destruction, and contribute to global warming and climate change. Additionally, improper waste disposal can result in financial losses and legal penalties for non-compliance with environmental regulations. Hence, it is imperative for the manufacturing sector to leverage emerging technologies and management strategies to mitigate these challenges. Therefore, this study used a quantitative approach to analyse primary data collected from the survey questionnaire to examine the relationship between independent and dependent variables. Combination of financial, technical, social, and governmental factors addressed in this project underscores the multifaceted approach required for effective waste management

Journal of Business and Social SciencesVol. 2024(1)
INTI International University (MY), Taylor's University (MY)
Openalex Percentile: Top 73%
Recycling and Waste Management Techniques
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.