Green Technologies and Sustainability最新文献

{"title":"An interval valued intuitionistic fuzzy approach to evaluate the challenges for adopting the smart textiles in readymade garment industries: Implications for sustainable business development","authors":"MD Shafikul Islam ,&nbsp;Saifur Rahman Tushar ,&nbsp;Mahathir Mohammad Bappy ,&nbsp;Mohammad Ali ,&nbsp;Abdullah Al Nadim","doi":"10.1016/j.grets.2025.100225","DOIUrl":"10.1016/j.grets.2025.100225","url":null,"abstract":"<div><div>The readymade garment (RMG) sector is critical in the economic structure of numerous developing countries including Bangladesh making up around 83% of its overall exports. Despite its significance, the sector faces substantial risks and uncertainties, including fluctuating global markets, limited product diversification, and vulnerabilities accentuated by the COVID-19 pandemic. To sustain growth and navigate global market uncertainties, the garment industry must diversify product offerings and integrate smart textiles to enhance resilience and competitiveness. However, there are significant challenges to be overcome in incorporating smart textiles into the industry to achieve sustainable business growth. This study identifies and evaluates the key challenges impeding the adoption of smart textiles in Bangladesh’s RMG sector using data obtained from a structured expert survey comprising 12 industry specialists and academicians. Employing an Interval-Valued Type 2 Intuitionistic Fuzzy (IVT2IF) integrated with Decision-Making Trial and Evaluation Laboratory (DEMATEL) methodology, the analysis highlighted <em>“Incompatibility with current production infrastructure”</em> with <em>“Inadequate scalability of production”</em> being the main cause, and <em>“Incompatibility among the suppliers”</em> being the most affected outcome. These findings provide actionable insights for industry stakeholders and policymakers, emphasizing strategic infrastructural investments and collaboration improvements, thus facilitating sustainable business development in the RMG sector.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"3 3","pages":"Article 100225"},"PeriodicalIF":0.0,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144242823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Current state of medical waste management in an emerging city of Bangladesh","authors":"Sajjad Hossain Shozib ,&nbsp;A.R.M. Towfiqul Islam ,&nbsp;Masum A. Patwary ,&nbsp;Mohammed A. Mamun ,&nbsp;Md. Naimur Rahman ,&nbsp;Kevin Lo","doi":"10.1016/j.grets.2025.100223","DOIUrl":"10.1016/j.grets.2025.100223","url":null,"abstract":"<div><div>A rising concern of inappropriate medical waste management in developing countries like Bangladesh brings higher health risk problems specially during viral outbreak. In this study, we analyzed the medical waste management in the rapid urbanizing area of Rangpur City, northern Bangladesh. In all, 20 healthcare centers were used for collecting data, random stratified sampling and waste weighing methods. The statistical data analysis used for the purposes of the study was linear regression, Pearson’s correlation, and logistic regression. We find that Rangpur City generates around 3.22 tons (<span><math><mo>±</mo></math></span> 1.02 SD) of medical waste daily, among which about 20% is hazardous according to WHO classification standards. Hazardous waste varied markedly in amount and proportion between healthcare establishments of different size and type. The study reveals how healthcare waste is mismanaged in the city and offers important insights for policymakers to drive healthcare waste better the management practices.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"3 3","pages":"Article 100223"},"PeriodicalIF":0.0,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144229759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Green Human Resource Management: Analyzing sustainable practices and organizational impact through a Word2Vec approach","authors":"Shoeb Ahmad ,&nbsp;Uzma Javed ,&nbsp;Chetan Sharma ,&nbsp;Mohd Shuaib Siddiqui","doi":"10.1016/j.grets.2025.100224","DOIUrl":"10.1016/j.grets.2025.100224","url":null,"abstract":"<div><div>Green Human Resource Management (GHRM) integrates environmental sustainability into HR practices, aligning corporate strategies with ecological responsibility. The organization may achieve sustainability by educating and implementing green practices to employees, emphasizing their value, and showing them how their actions affect the environment. In this study, the authors analyzed 3,233 articles extracted from the Scopus database from 1996 to 2024. This study explores GHRM trends using a bibliometric analysis and Word2Vec-based natural language processing (NLP) approach to analyze keyword relationships. This study highlights how the Word2Vec model effectively maps the semantic relationships within a textual corpus with its sophisticated configuration of twenty hidden layers and a batch size of 1000. The input discusses the importance of adopting eco-friendly policies and procedures, specifically through Green Human Resource Management (GHRM), to address the environmental consequences of technological advancement. The study underscores organizations’ need to embed GHRM into corporate culture, linking it to employee training, performance evaluation, and strategic decision-making. It suggests that companies leverage AI-driven environmental monitoring systems for real-time sustainability assessments. Future research should examine the impact of emerging technologies on GHRM adoption and its long-term influence on corporate sustainability and employee engagement. Policymakers and businesses must collaborate to develop adaptable, region-specific GHRM frameworks, ensuring global environmental goals are met through human-centric sustainability initiatives. Additionally, it emphasizes the need for policy development and global adoption of GHRM and other sustainable corporate practices to achieve sustainable development. The analysis provides a novel insight into the significant keywords Related to GHRM by applying advanced natural language processing techniques to a substantial dataset spanning multiple decades.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"3 4","pages":"Article 100224"},"PeriodicalIF":0.0,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144230988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Python-driven sensitivity analysis of geometric parameters: Evaluating the impact of geometric variations on environmental performance of large office in Boston","authors":"Zinat Javanmard,&nbsp;Consuelo Nava","doi":"10.1016/j.grets.2025.100222","DOIUrl":"10.1016/j.grets.2025.100222","url":null,"abstract":"<div><div>This research conducted a quantitative analysis of the impacts of design decisions made in the early stages of the design process, specifically focusing on their environmental effects. Through Sensitivity analysis, this study explores the relationship between design parameters of spatial structures and environmental consequences for each geometric form within a large office space in Boston, employing a multidisciplinary approach that integrates Python with parametric modeling software. Specifically, it aims to determine which variables—such as length, width, and height for a cube, and height, radius, and length for a cylinder—most significantly influence the environmental outcomes. The research primarily employs Rhino and Grasshopper for parametric modeling of a cube and a cylinder, followed by climate analysis using Honeybee and Ladybug tools. Subsequently, the Environmental Impact of energy consumption during the operational phase (B6 stage) is assessed through OpenLCA. The findings indicate that the cylinder configuration offers significantly better energy efficiency and 5.3% lower environmental impact compared to the cube. Sensitivity analysis through Scatter plot, FRE, XGBoost, RF, and SHAP values diagrams highlight that among the cube’s parameters (length, width, height), length is a critical factor for its sustainable design, while for the cylinder varieties (height, radius), height holds greater significance. Among the various environmental impacts assessed, fossil fuel depletion emerged as the most crucial category. The investigation conclusively underlines the imperative of optimizing geometric parameters to significantly influence reduce the ecological footprint, thereby advocating for strategic, evidence-based design decisions in the sustainable architecture field.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"3 4","pages":"Article 100222"},"PeriodicalIF":0.0,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144230987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sustainable synthesis of silica nanoparticles (SNPs) from agricultural residues: A review on plant stress mitigation and the sustainability triangle","authors":"Arsenio D. Bulfa Jr. ,&nbsp;Marjun C. Alvarado ,&nbsp;Pearl B. Sanchez ,&nbsp;Ma. Lourdes S. Edaño ,&nbsp;Pompe C. Sta. Cruz ,&nbsp;Eureka Teresa M. Ocampo","doi":"10.1016/j.grets.2025.100221","DOIUrl":"10.1016/j.grets.2025.100221","url":null,"abstract":"<div><div>Silica nanoparticles (SNPs) have shown potential in a variety of applications across industries, including agriculture. Amid growing concerns about sustainable agricultural intensification and the environmental burden of synthetic agrochemicals, there is a pressing need for eco-friendly alternatives to support crop resilience. These nanoparticles can be sustainably extracted from agricultural residues such as rice hulls/husks, sugarcane bagasse, and corn cobs. These by-products are not only rich in silica but are also produced in large quantities annually, making them ideal candidates for SNPs production. This review discusses the synthesis methods of SNPs from agricultural residues and their potential to enhance crop productivity, particularly under abiotic stressors. The novelty of this work lies in its focus on the sustainability triangle – economic, environmental, and social sustainability – in the context of SNPs production from agricultural residues. Studies suggest that SNPs can mitigate the negative effects of various abiotic stresses, including salinity, drought, and heavy metal toxicity. However, despite their promising potential, the SNPs extraction process needs further optimization, considering the different isolation methods and process variables. To ensure scalable and responsible implementation, future research should also incorporate techno-economic analysis (TEA), life-cycle assessments (LCA), and relevant social sustainability factors.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"3 4","pages":"Article 100221"},"PeriodicalIF":0.0,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144230985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the influence of circular economy on big data analytics and supply chain resilience nexus: A structural equation modeling approach","authors":"Samia Islam ,&nbsp;Sanjida Hassan ,&nbsp;Sourav Hossain ,&nbsp;Tazim Ahmed ,&nbsp;Chitra Lekha Karmaker ,&nbsp;A.B.M. Mainul Bari","doi":"10.1016/j.grets.2025.100219","DOIUrl":"10.1016/j.grets.2025.100219","url":null,"abstract":"<div><div>The recent pandemic, geopolitical instability, and unforeseen crises have profoundly disrupted global supply chains, igniting a critical need to reevaluate and enhance supply chain resilience strategies. In response, researchers have extensively explored the role of big data analytics in bolstering supply chain resilience during the post-pandemic and war-time recovery phase. Again, to reduce dependency on finite resources, minimize waste, and create adaptive, closed-loop systems, the role of circular economy has also been analyzed widely. However, the interaction between these two, such as how big data analytics impacts supply chain resilience within the framework of circular economy, is still underexplored. Hence, this study aims to explore the mediating role of circular economy in the relationship between big data analytics and supply chain resilience, especially focusing on the readymade garments manufacturing sector of an emerging economy like Bangladesh. A second-order hierarchical component model has been developed and tested using partial least squares structural equation modeling to achieve this. The first-order constructs and measurement items were sourced from an extensive literature review and insights from experts in the Bangladeshi readymade garments sector. The study demonstrates that circular economy significantly plays the role of a partial mediator in the relationship between big data analytics and supply chain resilience. This indicates that while big data analytics directly enhances supply chain resilience, its effectiveness is further amplified when integrated with circular economy practices. The study’s findings offer valuable insights for industry managers and policymakers, enabling them to utilize big data analytics in order to align industrial practices with circular economy principles and bolster supply chain resilience to maintain and improve ecological and socio-economic sustainability.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"3 3","pages":"Article 100219"},"PeriodicalIF":0.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144242824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimization of MILD chamber design for combustion of producer gas from biomass gasification","authors":"Omar Al Rifai ,&nbsp;K.A. Al-attab ,&nbsp;Ibrahim I. Enagi ,&nbsp;K.F. Mustafa ,&nbsp;Abdul Rahman Mohamed","doi":"10.1016/j.grets.2025.100220","DOIUrl":"10.1016/j.grets.2025.100220","url":null,"abstract":"<div><div>Producer gas (PG) from biomass gasification is a promising carbon-neutral alternative fuel that can be utilized for power generation in steam boilers. However, conventional swirler axial burners design suffers from its low efficiency and high pollutant emission when using PG due to its low energy density caused by the high dilution with <span><math><msub><mrow><mi>N</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span> and CO₂. This study aims to address the need for optimizing Moderate or Intense Low-oxygen Dilution (MILD) combustion, a promising technique known for its temperature homogeneity and emissions characteristics. This is achieved through a two-stage full factorial statistical optimization using Design of Experiments (DoE) tools and ANSYS-FLUENT simulations to optimize the chamber geometry and operating conditions. Circular and square cross-section geometries were compared. The optimum geometry for Circular design was 200 mm in diameter and 1000 mm in length, while square design was 548.8 mm in height and 1500 mm in length. The Circular design with lower emissions and smaller size was further optimized in second-stage DoE where the equivalence ratio (<span><math><mi>φ</mi></math></span>) and fuel inlet jet velocity (<span><math><msub><mrow><mi>V</mi></mrow><mrow><mi>f</mi></mrow></msub></math></span>) were manipulated. <span><math><mi>φ</mi></math></span> showed significant effect on pollutant emissions while 100 m/s provided adequate internal gas circulation to achieve MILD condition, and further increase in velocity did not show significant enhancement of combustion.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"3 4","pages":"Article 100220"},"PeriodicalIF":0.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144240213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Drivers and barriers to Industrial Revolution 5.0 readiness: A comprehensive review of key factors","authors":"Tia Tanjung ,&nbsp;Ihwan Ghazali ,&nbsp;Wan Hasrulnizzam Wan Mahmood ,&nbsp;Safarudin Gazali Herawan","doi":"10.1016/j.grets.2025.100217","DOIUrl":"10.1016/j.grets.2025.100217","url":null,"abstract":"<div><div>As industries navigate the transition toward Industrial Revolution 5.0, understanding the key drivers and barriers to readiness becomes crucial. This study conducts a comprehensive literature review to uncover the critical factors shaping IR 5.0 adoption. The findings highlight that technological advancements, workforce upskilling, and supportive policies serve as primary drivers, accelerating the shift toward human-centric and sustainable industrial ecosystems. Conversely, resistance to change, financial constraints, and lack of awareness emerge as significant barriers, impeding progress. To bridge these gaps, this study emphasizes the need for strategic investments in advanced technologies, targeted workforce development programs, and robust policy frameworks. By offering a structured analysis of the enablers and inhibitors of IR 5.0 adoption, this research provides valuable insights for industry leaders, policymakers, and academics, fostering sustainable growth and innovation in an era of rapid technological evolution.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"3 4","pages":"Article 100217"},"PeriodicalIF":0.0,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144240212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Extraction of tannin from Abrus precetorius seed in leather processing: An eco-friendly approach","authors":"Md. Abul Hashem,&nbsp;Md. Shahriar Shahadat,&nbsp;Jannatul Nime Tabassum,&nbsp;Md. Mukimujjaman Miem,&nbsp;Modinatul Maoya","doi":"10.1016/j.grets.2025.100216","DOIUrl":"10.1016/j.grets.2025.100216","url":null,"abstract":"<div><div>Retanning is a significant process in leather manufacturing to improve physicomechanical properties based on the desired characteristics of the final leather. To ensure a sustainable environment, an eco-friendly tanning agent is used in retanning process instead of mineral tannin e.g. chromium. This study reveals the usage of an alternative vegetable tanning agent from <em>Abrus precetorius</em> (Rosary pea) and compares the characteristics with chromed retanned leathers. The extracted tannin through solvent extraction was characterized by Fourier Transform Infrared (FTIR) spectroscopy, which indicates the presence of the functional group, responsible for tanning. Scanning Electron Microscopy (SEM) demonstrated the surface morphology of conventional and experimental crust leather. The tannin content in the seed of <em>Abrus precetorius</em> was found to be 15.34 %. The tensile strength (298.8 kg/cm ²), rate of elongation (74.2%), grain crack load (40.2 kg), strength at ball burst (53.7 kg), shrinkage temperature (108.8 °C) and distention during grain crack and ball burst (7.8 mm and 8.8 mm) of experimental leather meet the desired requirements. This investigation introduces an innovative potential replacement of chromium which propagates the use of novel vegetable tanning agents to make the green leather industry which can reduce the pollution load.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"3 3","pages":"Article 100216"},"PeriodicalIF":0.0,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fuel cell technologies in the automotive sector: A focus on proton exchange membrane and Alkaline fuel cells","authors":"Vijay Bhooshan Kumar ,&nbsp;Aakash Collin ,&nbsp;M. Gopi Sankar ,&nbsp;Kanakasabapathi Subramanian","doi":"10.1016/j.grets.2025.100218","DOIUrl":"10.1016/j.grets.2025.100218","url":null,"abstract":"<div><div>The automotive industry currently relies heavily on internal combustion engine (ICE) technology, which consumes large amounts of fossil fuels and significantly contributes to global environmental degradation and the ongoing energy crisis. As a result, automotive manufacturers are increasingly compelled to explore alternative green energy sources for vehicle propulsion. In this context, fuel cell electric vehicles (FCEVs) have emerged as a promising solution in the transition towards clean and sustainable transportation. This review article focuses on the development and application of fuel cell technologies specifically Proton Exchange Membrane Fuel Cells (PEMFCs) and Alkaline Fuel Cells (AFCs) as viable alternatives for the future of the automotive industry. We provide a detailed comparative analysis of the utility, efficiency, and development status of both PEMFCs and AFCs. Our findings suggest that PEMFCs are well-positioned to lead the future of transportation, mobile power systems, and stationary energy applications, owing to their high-power density and low operating temperatures. However, realizing their full potential will require advancements in hydrogen infrastructure and cost reduction of key materials. In contrast, AFCs offer benefits in terms of cost-effectiveness and simplicity of design, making them suitable for energy storage systems and niche markets. Nonetheless, wider adoption of AFCs will depend on overcoming challenges such as CO₂ sensitivity and improving their long-term operational durability. Additionally, this review highlights key parameters—including strengths, weaknesses, opportunities, and challenges (SWOC analysis) affecting the development and deployment of fuel cell vehicles. We also compare FCEVs with battery-powered electric vehicles (BEVs), emphasizing the environmental concern that electricity production for battery charging still carries a significant carbon footprint. Given these considerations, PEMFC-based fuel cells present a more compatible and scalable solution for the automotive sector, particularly for heavy commercial vehicles, which demand robust and efficient power systems. Looking forward, AFC technology also holds potential for integration into automotive applications as advancements continue. We believe this review contributes to the growing body of research aimed at accelerating the adoption of clean and sustainable vehicle technologies, helping to shape a greener future for the global transportation industry.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"3 3","pages":"Article 100218"},"PeriodicalIF":0.0,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143929369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}