Factors Influencing Industrial Waste Applying Information Technology and Managing 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 indust...

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Main Authors: Cha, Kian Teow, Ma, Junzhe, Chong, Kim Mee
Format: Article
Language:English
English
Published: INTI International University 2024
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Online Access:http://eprints.intimal.edu.my/2070/1/jobss2024_21a.pdf
http://eprints.intimal.edu.my/2070/2/617
http://eprints.intimal.edu.my/2070/
http://ipublishing.intimal.edu.my/jobss.html
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spelling my-inti-eprints.20702024-12-24T09:33:39Z http://eprints.intimal.edu.my/2070/ Factors Influencing Industrial Waste Applying Information Technology and Managing Information Systems Towards Minimizing Waste Management Cha, Kian Teow Ma, Junzhe Chong, Kim Mee GE Environmental Sciences H Social Sciences (General) HD28 Management. Industrial 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 INTI International University 2024-12 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/2070/1/jobss2024_21a.pdf text en cc_by_4 http://eprints.intimal.edu.my/2070/2/617 Cha, Kian Teow and Ma, Junzhe and Chong, Kim Mee (2024) Factors Influencing Industrial Waste Applying Information Technology and Managing Information Systems Towards Minimizing Waste Management. Journal of Business and Social Sciences, 2024 (21). pp. 1-16. ISSN 2805-5187 http://ipublishing.intimal.edu.my/jobss.html
institution INTI International University
building INTI Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider INTI International University
content_source INTI Institutional Repository
url_provider http://eprints.intimal.edu.my
language English
English
topic GE Environmental Sciences
H Social Sciences (General)
HD28 Management. Industrial Management
spellingShingle GE Environmental Sciences
H Social Sciences (General)
HD28 Management. Industrial Management
Cha, Kian Teow
Ma, Junzhe
Chong, Kim Mee
Factors Influencing Industrial Waste Applying Information Technology and Managing Information Systems Towards Minimizing Waste Management
description 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
format Article
author Cha, Kian Teow
Ma, Junzhe
Chong, Kim Mee
author_facet Cha, Kian Teow
Ma, Junzhe
Chong, Kim Mee
author_sort Cha, Kian Teow
title Factors Influencing Industrial Waste Applying Information Technology and Managing Information Systems Towards Minimizing Waste Management
title_short Factors Influencing Industrial Waste Applying Information Technology and Managing Information Systems Towards Minimizing Waste Management
title_full Factors Influencing Industrial Waste Applying Information Technology and Managing Information Systems Towards Minimizing Waste Management
title_fullStr Factors Influencing Industrial Waste Applying Information Technology and Managing Information Systems Towards Minimizing Waste Management
title_full_unstemmed Factors Influencing Industrial Waste Applying Information Technology and Managing Information Systems Towards Minimizing Waste Management
title_sort factors influencing industrial waste applying information technology and managing information systems towards minimizing waste management
publisher INTI International University
publishDate 2024
url http://eprints.intimal.edu.my/2070/1/jobss2024_21a.pdf
http://eprints.intimal.edu.my/2070/2/617
http://eprints.intimal.edu.my/2070/
http://ipublishing.intimal.edu.my/jobss.html
_version_ 1819915647959695360
score 13.223943