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Predicting sustainable development goals through the industry 4.0: Insights from public listed companies

In an ideal world, publicly listed companies would be forced to publish a report on the Sustainable Development Goals (SDGs). The abandonment of SDG reporting in annual reports by public corporations is the focus of this study. We noticed in recent years that many companies are unable to recognise a...

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Main Authors: Muhammad Shabir, Shaharudin, Yuvaraj, Ganesan, Fernando, Yudi, Noor Hazlina, Ahmad, Azlan, Amran, Lee, Khai Loon
Format: Article
Language:English
Published: Universiti Malaysia Pahang 2023
Subjects:
HD Industries. Land use. Labor
HF Commerce
Online Access:http://umpir.ump.edu.my/id/eprint/39509/1/Predicting%20Sustainable%20Development%20Goals%20through%20the%20Industry.pdf
http://umpir.ump.edu.my/id/eprint/39509/
https://doi.org/10.15282/jgi.6.1.2023.9111
https://doi.org/10.15282/jgi.6.1.2023.9111
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spelling my.ump.umpir.395092023-12-04T04:39:58Z http://umpir.ump.edu.my/id/eprint/39509/ Predicting sustainable development goals through the industry 4.0: Insights from public listed companies Muhammad Shabir, Shaharudin Yuvaraj, Ganesan Fernando, Yudi Noor Hazlina, Ahmad Azlan, Amran Lee, Khai Loon HD Industries. Land use. Labor HF Commerce In an ideal world, publicly listed companies would be forced to publish a report on the Sustainable Development Goals (SDGs). The abandonment of SDG reporting in annual reports by public corporations is the focus of this study. We noticed in recent years that many companies are unable to recognise and commit to the Sustainable Development Goals (SDGs) in their annual reports. We observed that Malaysia prioritises economic growth above environmental concerns. Malaysia's economic growth and health system have been jeopardised as a result of the current COVID-19 outbreak. It will be difficult to achieve the other sustainable development objectives if there is a significant prevalence of chronic infectious and non-infectious diseases, as well as a lack of physical, mental, and social well-being in society. In this study, a collection of primary data gathered from the Bursa Malaysia will be used for performance analysis and forecasting. The analytical tools used for this inquiry were Power BI and RapidMiner. In the first activity, we discovered that software and services businesses who use IR 4.0 had the best SDG implementation performance. According to the study, there is a significant relationship between organisations' use of IR 4.0 and their efforts to fulfil the SDGs. It will be easier to meet the Sustainable Development Goals with broad IR 4.0 adoption in a company. According to the results of the survey, Selangor is the state with the highest degree of company SDG implementation. In conclusion, predicted data reveal that states and specific SDGs have a substantial influence on corporate adoption of SDGs. Finally, Selangor-based software and service enterprises provide the most contribution to the achievement of the Sustainable Development Goals. Universiti Malaysia Pahang 2023 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/39509/1/Predicting%20Sustainable%20Development%20Goals%20through%20the%20Industry.pdf Muhammad Shabir, Shaharudin and Yuvaraj, Ganesan and Fernando, Yudi and Noor Hazlina, Ahmad and Azlan, Amran and Lee, Khai Loon (2023) Predicting sustainable development goals through the industry 4.0: Insights from public listed companies. Journal of Governance and Integrity (JGI), 6 (1). pp. 515-528. ISSN 2600-7479. (Published) https://doi.org/10.15282/jgi.6.1.2023.9111 https://doi.org/10.15282/jgi.6.1.2023.9111
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic HD Industries. Land use. Labor
HF Commerce
spellingShingle HD Industries. Land use. Labor
HF Commerce
Muhammad Shabir, Shaharudin
Yuvaraj, Ganesan
Fernando, Yudi
Noor Hazlina, Ahmad
Azlan, Amran
Lee, Khai Loon
Predicting sustainable development goals through the industry 4.0: Insights from public listed companies
description In an ideal world, publicly listed companies would be forced to publish a report on the Sustainable Development Goals (SDGs). The abandonment of SDG reporting in annual reports by public corporations is the focus of this study. We noticed in recent years that many companies are unable to recognise and commit to the Sustainable Development Goals (SDGs) in their annual reports. We observed that Malaysia prioritises economic growth above environmental concerns. Malaysia's economic growth and health system have been jeopardised as a result of the current COVID-19 outbreak. It will be difficult to achieve the other sustainable development objectives if there is a significant prevalence of chronic infectious and non-infectious diseases, as well as a lack of physical, mental, and social well-being in society. In this study, a collection of primary data gathered from the Bursa Malaysia will be used for performance analysis and forecasting. The analytical tools used for this inquiry were Power BI and RapidMiner. In the first activity, we discovered that software and services businesses who use IR 4.0 had the best SDG implementation performance. According to the study, there is a significant relationship between organisations' use of IR 4.0 and their efforts to fulfil the SDGs. It will be easier to meet the Sustainable Development Goals with broad IR 4.0 adoption in a company. According to the results of the survey, Selangor is the state with the highest degree of company SDG implementation. In conclusion, predicted data reveal that states and specific SDGs have a substantial influence on corporate adoption of SDGs. Finally, Selangor-based software and service enterprises provide the most contribution to the achievement of the Sustainable Development Goals.
format Article
author Muhammad Shabir, Shaharudin
Yuvaraj, Ganesan
Fernando, Yudi
Noor Hazlina, Ahmad
Azlan, Amran
Lee, Khai Loon
author_facet Muhammad Shabir, Shaharudin
Yuvaraj, Ganesan
Fernando, Yudi
Noor Hazlina, Ahmad
Azlan, Amran
Lee, Khai Loon
author_sort Muhammad Shabir, Shaharudin
title Predicting sustainable development goals through the industry 4.0: Insights from public listed companies
title_short Predicting sustainable development goals through the industry 4.0: Insights from public listed companies
title_full Predicting sustainable development goals through the industry 4.0: Insights from public listed companies
title_fullStr Predicting sustainable development goals through the industry 4.0: Insights from public listed companies
title_full_unstemmed Predicting sustainable development goals through the industry 4.0: Insights from public listed companies
title_sort predicting sustainable development goals through the industry 4.0: insights from public listed companies
publisher Universiti Malaysia Pahang
publishDate 2023
url http://umpir.ump.edu.my/id/eprint/39509/1/Predicting%20Sustainable%20Development%20Goals%20through%20the%20Industry.pdf
http://umpir.ump.edu.my/id/eprint/39509/
https://doi.org/10.15282/jgi.6.1.2023.9111
https://doi.org/10.15282/jgi.6.1.2023.9111
_version_ 1822923906632122368
score 13.232414

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