Authenticate Beneficial Effect on Green Building Performance in Malaysia from Construction Stakeholders' Perspective
Abstract
A green building, a building that can effectively reduce negative impacts in all aspects or processes of design, construction, or operation, has a positive and positive impact on our climate and environment. It also helps protect precious natural resources and indirectly improves our quality of life. This study aims to examine the various benefits that can be gained if green buildings are implemented in Malaysia, with the construction industry playing a pivotal role in the country's development. However, it can also be one of the industries that causes the most environmental pollution. The use of quantitative methods in this study, with data collected through questionnaires in Google Forms involving different categories of target groups, has verified the research's validity and reliability. The findings, with all 166 construction industry stakeholders agreeing that the implementation of green buildings indeed contributes to many beneficial aspects, have validated the consistency of context about the well-known beneficial effect of green buildings on construction stakeholders in Malaysia.
References
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Zhu, Z., Ma, R., Draganic, A., Orovic, I., Zhang, X., Wang, X., & Wang, J. (2022). Postharvest quality monitoring and cold chain management of fresh garlic scapes based on a wireless multi‐sensors system. Journal of Food Process Engineering, 45(1), e13918. https://onlinelibrary.wiley.com/doi/abs/10.1111/jfpe.13918
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Dong, Y., Xu, M., & Miller, S. A. (2021). Overview of cold chain development in China and methods of studying its environmental impacts. Environmental Research Communications, 2(12), 122002. https://iopscience.iop.org/article/10.1088/2515-7620/abd622/meta
Dou, S., Liu, G., & Yang, Y. (2020). A new hybrid algorithm for cold chain logistics distribution center location problem. IEEE Access, 8, 88769-88776. https://ieeexplore.ieee.org/ abstract/document/9079803/
Fan, Y., & Li, H. (2021, July). Research on Cold Chain Logistics Operation Mode Under Internet Technology. In Journal of Physics: Conference Series (Vol. 1972, No. 1, p. 012039). IOP Publishing. https://iopscience.iop.org/article/10.1088/1742-6596/1972/1/012039/ meta
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Han, S., & Liu, X. (2022). Can imported cold food cause COVID-19 recurrent outbreaks? A review. Environmental Chemistry Letters, 20(1), 119-129. https://link.springer.com/ article/10.1007/s10311-021-01312-w
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Li, G., Wang, G., Ma, Y., Yue, L., & Zhao, W. (2020, June). Research on cold chain transport of vaccines in major outbreaks. In IOP Conference Series: Earth and Environmental Science (Vol. 526, No. 1, p. 012189). IOP Publishing. https://iopscience.iop.org/ article/10.1088/1755-1315/526/1/012189/meta
Li, J., Xu, H., Liu, W., Wang, D., & Zhou, S. (2020). Spatial pattern evolution and influencing factors of cold storage in China. Chinese Geographical Science, 30, 505-515. https://link.springer.com/article/10.1007/s11769-020-1124-1
Li, N., & Yao, W. (2021). Research on application of cold chain logistics management based on big data technology. In E3S Web of Conferences (Vol. 253, p. 02056). EDP Sciences. https://www.e3s-conferences.org/articles/e3sconf/abs/2021/29/e3sconf_eem2021_020 56/e3sconf_eem2021_02056.html
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Li, X., Liu, Y., & Wang, H. (2022). The Impact of Sustainable Development of Cold Chain Logistics on China’s COVID-19 Pandemic. Sustainability, 14(16), 10358. https://www.mdpi.com/2071-1050/14/16/10358
Li, Z., Fu, Y., & Li, M. (2021, March). Study on Location Selection of Low-Carbon Fresh Fruit Distribution Center Considering Customer Satisfaction-Route Optimization. In IOP Conference Series: Earth and Environmental Science (Vol. 687, No. 1, p. 012179). IOP Publishing. https://iopscience.iop.org/article/10.1088/1755-1315/687/1/012179/meta
Lin, Q., Zhao, Q., & Lev, B. (2020). Cold chain transportation decision in the vaccine supply chain. European Journal of Operational Research, 283(1), 182-195. https://www.sciencedirect.com/science/article/pii/S0377221719309075
Lu, S., Cheng, G., Li, T., Xue, L., Liu, X., Huang, J., & Liu, G. (2022). Quantifying supply chain food loss in China with primary data: A large-scale, field-survey based analysis for staple food, vegetables, and fruits. Resources, Conservation and Recycling, 177, 106006. https://www.sciencedirect.com/science/article/pii/S0921344921006157
Ma, L. (2021, April). Research on location selection of agricultural products logistics distribution center based on two-stage combination optimization algorithm. In Journal of Physics: Conference Series (Vol. 1881, No. 4, p. 042085). IOP Publishing. https://iopscience.iop.org/article/10.1088/1742-6596/1881/4/042085/meta
Ma, R., Wang, X., & Zhou, P. (2020, November). Research on Optimization of Fresh Cold Chain Logistics Distribution Path Considering Road Impedance. In 2020 International Signal Processing, Communications and Engineering Management Conference (ISPCEM) (pp. 185-192). IEEE. https://ieeexplore.ieee.org/abstract/document/ 9480974/
Pan, H., & Sun, J. (2021, July). Research on Cold Chain Logistics Supply Chain Management Technology Based on Information Platform Construction. In 2021 International Conference on Big Data and Intelligent Decision Making (BDIDM) (pp. 1-4). IEEE. https://ieeexplore.ieee.org/abstract/document/9559641/
Qian, J., Yu, Q., Jiang, L., Yang, H., & Wu, W. (2022). Food cold chain management improvement: A conjoint analysis on COVID-19 and food cold chain systems. Food Control, 137, 108940. https://www.sciencedirect.com/science/article/pii/S095671352 2001335
Ruan, M. (2020). Quality management of the food cold chain system based on big data analysis. International Journal of Performability Engineering, 16(5), 757. https://www.ijpe-online.com/EN/10.23940/ijpe.20.05.p9.757765
Shou, W., Wang, Y., Yao, Y., Chen, L., Lin, B., Lin, Z., & Guoa, L. (2023). A two-dimensional disposable full-history time-temperature indicator for cold chain logistics. Analytica Chimica Acta, 1237, 340618. https://www.sciencedirect.com/science/article/pii/ S0003267022011898
Siyuan, L. I. U., Tian'en, C. H. E. N., Dong, C. H. E. N., Chi, Z. H. A. N. G., & Cong, W. A. N. G. (2021). Time-varying heterotypic-vehicle cold chain logistics distribution path optimization model. Smart agriculture, 3(3), 139. http://www.smartag.net.cn/ EN/abstract/abstract19921.shtml
Wang, D., Yuan, Q., & Xiang, F. (2020, April). Analysis of current situation of joint distribution in cold chain logistics. In 2020 International Conference on Urban Engineering and Management Science (ICUEMS) (pp. 216-220). IEEE. https://ieeexplore.ieee.org/ abstract/document/9151719/
Wang, H., Ran, H., & Dang, X. (2022). Location optimization of fresh agricultural products cold chain distribution center under carbon emission constraints. Sustainability, 14(11), 6726. https://www.mdpi.com/2071-1050/14/11/6726
Wang, M., Wang, Y., Liu, W., Ma, Y., Xiang, L., Yang, Y., & Li, X. (2021). How to achieve a win–win scenario between cost and customer satisfaction for cold chain logistics?. Physica A: Statistical Mechanics and its Applications, 566, 125637. https://www.sciencedirect.com/science/article/pii/S0378437120309353
Wang, Q., Zhao, Z., & Wang, Z. (2023). Data-Driven Analysis of Risk-Assessment Methods for Cold Food Chains. Foods, 12(8), 1677. https://www.mdpi.com/2304-8158/12/8/1677
Wang, S. (2022). The Development Trend of China’s Agricultural Product Cold Chain Logistics from the Perspective of Big Data. Advances in Multimedia, 2022. https://www.hindawi. com/journals/am/2022/2253448/
Wen, S., Li, J., Wang, R., & Liu, H. (2021). Analysis and modeling for cold chain logistics of agricultural products demand forecasting. https://www.preprints.org/manuscript/ 202101.0375
Wu, J., Zhang, J., Yi, W., Cai, H., Li, Y., & Su, Z. (2022). Agri-biomass supply chain optimization in north China: Model development and application. Energy, 239, 122374. https://www.sciencedirect.com/science/article/pii/S0360544221026232
Xie, R., Huang, H., Zhang, Y., & Yu, P. (2022). Coupling relationship between cold chain logistics and economic development: A investigation from China. PloS one, 17(2), e0264561. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0264561
Yang, H., Li, N., Huang, Y., Mou, S., Wu, F., & Li, X. (2021, October). Traceability Analysis of Cold Chain Food under COVID-19 Based on Block Chain Technology. In 5th International Conference on Crowd Science and Engineering (pp. 61-67). https://dl.acm.org/doi/abs/10.1145/3503181.3503192
Yin, S., Bai, L., & Zhang, R. (2021). A supply chain-oriented perspective to prevent future COVID-19: Mathematical model and experience of guaranteeing quality and safety of fresh agricultural products. https://www.researchsquare.com/article/rs-410784/latest
Yu, H., Dai, Y., & Zhao, L. (2021, June). Evaluation and Study on influencing factors of agricultural products logistics efficiency based on DEA-Tobit model--from panel data from 2010 to 2019. In Journal of Physics: Conference Series (Vol. 1941, No. 1, p. 012070). IOP Publishing. https://iopscience.iop.org/article/10.1088/1742-6596/1941/ 1/012070/meta
Yu, Z., Liu, Y., Wang, Q., Sun, L., & Sun, S. (2021). Research on food safety and security of cold chain logistics. In IOP Conference Series: Earth and Environmental Science (Vol. 647, No. 1, p. 012176). IOP Publishing. https://iopscience.iop.org/article/10.1088/1755-1315/647/1/012176/meta
Zhang, C., Yang, Y., Feng, Z., Xiao, C., Liu, Y., Song, X., & Lang, T. (2022). Cold chain food and COVID-19 transmission risk: from the perspective of consumption and trade. Foods, 11(7), 908. https://www.mdpi.com/2304-8158/11/7/908
Zhang, Y., Fan, X., Ma, Y., & Sun, Y. (2022). Spatial impacts of cold chain logistics for fresh agri-products on carbon emissions. Transportation Research Part D: Transport and Environment, 113, 103525. https://www.sciencedirect.com/science/article/pii/S13619 20922003510
Zhang, Y., Liu, Y., Jiong, Z., Zhang, X., Li, B., & Chen, E. (2021). Development and assessment of blockchain‐IoT‐based traceability system for frozen aquatic product. Journal of Food Process Engineering, 44(5), e13669. https://onlinelibrary.wiley.com/doi/abs/10.1111/ jfpe.13669
Zhu, H., Liu, C., Wu, G., & Gao, Y. (2023). Cold Chain Logistics Network Design for Fresh Agricultural Products with Government Subsidy. Sustainability, 15(13), 10021. https://www.mdpi.com/2071-1050/15/13/10021
Zhu, Z., Ma, R., Draganic, A., Orovic, I., Zhang, X., Wang, X., & Wang, J. (2022). Postharvest quality monitoring and cold chain management of fresh garlic scapes based on a wireless multi‐sensors system. Journal of Food Process Engineering, 45(1), e13918. https://onlinelibrary.wiley.com/doi/abs/10.1111/jfpe.13918
Zhuangzhuang, L. (2020, October). Study on the construction of traceability system of cold-chain agricultural products based on block-chain: A case study of Ningxia Cabbage. In 2020 International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE) (pp. 270-274). IEEE. https://ieeexplore.ieee.org/abstract/document/ 9403818/.
Published
2024-07-31
How to Cite
KAI XUAN, Khor; SOO CHEEN, Khor.
Authenticate Beneficial Effect on Green Building Performance in Malaysia from Construction Stakeholders' Perspective.
International Journal of Business and Technology Management, [S.l.], v. 6, n. 2, p. 396-413, july 2024.
ISSN 2682-7646.
Available at: <https://myjms.mohe.gov.my/index.php/ijbtm/article/view/27283>. Date accessed: 19 sep. 2024.
Section
English Section
