Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 383, P. 125430 - 125430
Published: April 21, 2025
Language: Английский
Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 383, P. 125430 - 125430
Published: April 21, 2025
Language: Английский
Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 415, P. 137873 - 137873
Published: June 20, 2023
Language: Английский
Citations
95Computers & Industrial Engineering, Journal Year: 2022, Volume and Issue: 172, P. 108530 - 108530
Published: Aug. 5, 2022
Language: Английский
Citations
84Sustainability, Journal Year: 2023, Volume and Issue: 15(17), P. 12945 - 12945
Published: Aug. 28, 2023
Sustainability is one of the fastest-growing research areas globally. Irrespective industry and economic activity, it need day. This study examines impact green process innovation production on sustainability in Pakistan India’s cement plastic manufacturing industries. The also addresses moderating role environmental awareness, which increases effect productivity towards sustainability. based a quantitative approach to addressing issue question. Primary data were collected via closed-ended questionnaire from 657 employees industries, analyzed partial least square structural equation modeling SmartPLS. findings show that have significant sustainability, while awareness plays sustainable practices industries India. results are helpful for policymakers, other governmental non-governmental organizations ensure through innovation, productivity, awareness.
Language: Английский
Citations
44Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(22), P. 31752 - 31770
Published: April 24, 2024
Language: Английский
Citations
29Benchmarking An International Journal, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 23, 2025
Purpose Industries have been the most significant contributor to carbon emissions since beginning of Industrial Revolution. The transition Industry 5.0 (I5.0) marks a pivotal moment in industrial revolution, which aims reconcile productivity with environmental responsibility. As concerns about decline quality increase and demand for sustainable methods intensifies, experts recognize shift toward I5.0 as crucial turning point. Design/methodology/approach This review study explores convergence green technological advancements evolving landscape I5.0, thereby presenting roadmap neutrality. Through an extensive analysis literature spanning from 2012 2024, sourced Scopus database, research unravels transformative potential innovations, artificial intelligence, supply chain management metaverse. Findings findings underscore urgent imperative integrating technologies into fabric highlighting opportunities challenges inherent this endeavor. Furthermore, provides insights tailored policymakers, regulators, researchers stakeholders, fostering informed decision-making carbon-neutral future. Originality/value serves call action, urging collective efforts harness innovation betterment industry environment.
Language: Английский
Citations
3Journal of Cleaner Production, Journal Year: 2022, Volume and Issue: 380, P. 135042 - 135042
Published: Nov. 3, 2022
Language: Английский
Citations
67Journal of Cleaner Production, Journal Year: 2022, Volume and Issue: 372, P. 133698 - 133698
Published: Aug. 27, 2022
Language: Английский
Citations
66Journal of Cleaner Production, Journal Year: 2022, Volume and Issue: 362, P. 132282 - 132282
Published: May 19, 2022
Language: Английский
Citations
65Journal of Cleaner Production, Journal Year: 2022, Volume and Issue: 385, P. 135477 - 135477
Published: Dec. 12, 2022
Language: Английский
Citations
46Resources Environment and Sustainability, Journal Year: 2023, Volume and Issue: 14, P. 100133 - 100133
Published: Aug. 4, 2023
Agriculture is of great importance in all societies, serving as the fundamental basis for producing food and ensuring survival human populations. The process agricultural production associated logistical elements face numerous difficulties, which are further intensified by worldwide water scarcity resulting from climate change. Nevertheless, existing body literature has not sufficiently addressed consequences on agri-food supply chains. To bridge this research gap contribute to mitigating global crisis induced change, study proposes a hybrid model that combines optimized neural networks based meta-heuristic algorithms mathematical optimization sustainable chain. proposed integrates particle swarm (PSO) feature selection convolutional network (CNN)-gated recurrent unit (GRU) with genetic algorithm (GA) structure predict consumption. Leveraging model's results, multi-objective agriculture chain developed optimize profitability while simultaneously addressing environmental pollutants, waste, usage, manufacturing costs time. evaluate effectiveness approach, real case Iran employed, providing both theoretical practical insights into design incorporates sustainability factors effectively tackles growing challenge scarcity. findings hold implications managers policymakers countries where growing. By integrating advanced techniques predictive models, offers novel framework enhancing chains pressing issues
Language: Английский
Citations
33