{"title":"Assessing the factors influencing the adoption of geothermal energy to support the national grid in emerging economies: Implications for sustainability","authors":"","doi":"10.1016/j.susoc.2024.03.001","DOIUrl":"10.1016/j.susoc.2024.03.001","url":null,"abstract":"<div><p>The ongoing Russia-Ukraine conflict has made the global energy crisis a severe issue, particularly for emerging economies with a sharp rise in load shedding in communities, disruptions in industrial operation, and an increased cost of living. Shifting our focus from fossil fuel-based energy to sustainable and promising renewable energy sources, like geothermal energy (GE), is crucial to addressing the ongoing energy crisis. Therefore, this study aims to evaluate the significant factors influencing the adoption of GE to support the national grid of an emerging economy like Bangladesh. An integrated framework consisting of the Delphi method, fuzzy total interpretive structural modeling (TISM), and fuzzy Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) analysis was utilized in this study to evaluate the hierarchical interrelationships among the significant factors. The findings indicate that the top two influencing factors are the “scope for new investments and employment” and the “growing need for inexpensive and renewable energy sources”. The study's findings can offer significant insights to decision-makers and policymakers, which can aid in the development of long-term strategic plans to facilitate the successful adoption and integration of GE and promote sustainability and low-carbon economy in the energy sector.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"5 ","pages":"Pages 167-180"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666412724000047/pdfft?md5=53fa5529e9814337bc4da8e29cc3c22c&pid=1-s2.0-S2666412724000047-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140276060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chi Zhou , Danyang Bai , Zhibing Liu , Jing Yu , Yapeng Fei
{"title":"Optimal logistics service strategies in green agricultural product supply chains with E-commerce platforms","authors":"Chi Zhou , Danyang Bai , Zhibing Liu , Jing Yu , Yapeng Fei","doi":"10.1016/j.susoc.2024.06.002","DOIUrl":"10.1016/j.susoc.2024.06.002","url":null,"abstract":"<div><p>With the increasing development of logistics industry, an important question arises: which logistics format should an agricultural product seller select? Or when an agricultural product seller does select a certain logistics format? To answer this question, we explore three different green agricultural product supply chain models/scenarios: a self-managed logistics format(N); a third-party enterprise logistics format(S); and a platform logistics format(E). Using the game-theoretic model, we investigate the impact of the cost coefficient on the agricultural product seller's logistics preference under the three logistics scenarios. Our theoretical analyses show that when the cost coefficient is small, the agricultural product seller prefers to cooperate with the 3PL enterprise, but as the coefficient increases, the agricultural product seller prefers to choose her self-managed logistics. Therefore, to optimize the logistics strategy of the agricultural product seller under B2C mode, it is necessary to build a reasonable logistics management mechanism and a perfect logistics distribution system to reduce the logistics service cost coefficient.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"5 ","pages":"Pages 156-166"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666412724000096/pdfft?md5=edc359db02fd69a230aec5f0419dde4c&pid=1-s2.0-S2666412724000096-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141963074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sustainable inventory, pricing, and marketing strategies for imperfect quality perishable items with inspection errors and advertisement-, expiration date- and price-dependent demand under carbon emissions policies","authors":"Makoena Sebatjane","doi":"10.1016/j.susoc.2024.09.004","DOIUrl":"10.1016/j.susoc.2024.09.004","url":null,"abstract":"<div><div>The demand for perishable products is affected by freshness levels, advertising efforts and selling prices, among other factors. By virtue of being consumed mostly by humans, quality control is also an important factor in perishable production systems. Moreover, inventory management related operations in such production systems release sizeable quantities of carbon emissions that are often regulated by carbon policies. To study the interactions of all these attributes in the context of a perishable inventory system, this paper proposes four sustainable inventory models for a perishable product with imperfect quality, inspection errors and whose demand depends on the advertising frequency, expiration date and selling price. The emissions released are assumed to be governed by carbon tax and carbon cap policies. Two of the models are developed under the assumption that the quality inspection process is 100% effective while the other two models consider the possibility of committing inspection errors, and additionally, for each pair of models, one is developed under a carbon tax policy and the other under a carbon cap policy. All the models are aimed at jointly optimising the perishable product’s lot-size, advertising frequency and selling price. The numerical results show that the presence of inspection errors leads to 28% and 23% lower profits under carbon tax and cap policies, respectively. Moreover, profit can be maximised by either stocking perishable products with longer shelf lives or targeting customers that engage with advertising mediums and those that are not price-conscious, while emissions can be minimised via the enforcement of carbon policies.</div></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"5 ","pages":"Pages 239-256"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142428785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abed Zabihian-Bisheh , Hadi Rezaei Vandchali , Vahid Kayvanfar , Frank Werner
{"title":"A sustainable multi-objective model for the hazardous waste location-routing problem: A real case study","authors":"Abed Zabihian-Bisheh , Hadi Rezaei Vandchali , Vahid Kayvanfar , Frank Werner","doi":"10.1016/j.susoc.2023.11.001","DOIUrl":"10.1016/j.susoc.2023.11.001","url":null,"abstract":"<div><p>A substantial extent of harmful rubbish produced from manufacturing processes and health segments has posed a significant warning to the health of humans by affecting environmental concerns and the pollution of soil, air, and water resources. In this research, a multi-objective mixed-integer nonlinear programming (MINLP) model is presented for a sustainable hazardous waste location-routing problem. The position of the facilities and decisions on the routes for transferring hazardous waste as well as the waste remainder are considered to design a proper waste collection system. The proposed model tries to minimize the whole costs of the waste management system, the total hazards from the facilities and transportation, together with the CO<sub>2</sub> emissions, simultaneously equipped with a real case study to show the applicability of the developed model. In order to show the sustainability importance, the outputs of the original model are compared with the model, not including sustainability. The outcomes illustrate that, under the lack of sustainability, total costs, transportation, and site risk along with the CO<sub>2</sub> emissions increase, demonstrating the importance of sustainability. Besides, the extracted managerial insights support managers in making better decisions in the hazardous waste management system.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"5 ","pages":"Pages 1-14"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666412723000168/pdfft?md5=596c0b936f40f59ec3a59e32917d23ad&pid=1-s2.0-S2666412723000168-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135510404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research on implementation factors of product ecological design based on digital collaboration","authors":"Qing Liu, Yongzhong Zhang","doi":"10.1016/j.susoc.2024.06.001","DOIUrl":"https://doi.org/10.1016/j.susoc.2024.06.001","url":null,"abstract":"<div><p>To assist enterprises in adapting to the challenges of the digital era during the product eco-design stage, based on the synergistic symbiosis theory and the eco-strategy wheel, combined with literature research and expert interviews, this study identifies 11 factors for enterprises to realize product eco-design under digital collaboration. In this study, the Decision-making Trial and Evaluation Laboratory (DEMATEL) method was used to aggregate the identified 11 factors into four factor sets: strong cause, weak cause, strong result, and weak result; and the Interpretive Structural Model (ISM) was used to create a multilevel recursive model of product eco-design for digital collaboration. The study's findings show that: digital collaborative product eco-design is a combination of intra-organizational, intra-organizational, and external organizational synergies; and digital collaboration improves the efficiency of eco-design technology acquisition. This research provides a scientific foundation for company managers to make product eco-design decisions in the context of the worldwide digitalization trend.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"5 ","pages":"Pages 112-118"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666412724000072/pdfft?md5=600d3a6e431d9ceb392d33178e791bba&pid=1-s2.0-S2666412724000072-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141487264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shaikh Sohail Mohiyodin , Rajesh Maharudra Patil , Dr MS Nagaraj
{"title":"Northern goshawk optimization for optimal reactive power compensation in photovoltaic low-voltage radial distribution networks","authors":"Shaikh Sohail Mohiyodin , Rajesh Maharudra Patil , Dr MS Nagaraj","doi":"10.1016/j.susoc.2024.07.002","DOIUrl":"10.1016/j.susoc.2024.07.002","url":null,"abstract":"<div><div>In recent years, photovoltaic systems (PVs) have been increasingly integrated into radial distribution networks (RDNs). However, network operators experience significant issues because they are sporadic. To reduce the load on the main grid and improve the network performance, capacitor banks (CBs) are frequently employed for power factor correction and VAr compensation. However, a large number of CBs must be switched at once in accordance with variations in load and PV generation to maintain feeder voltage regulation and improve its performance. This study's optimization strategy for CB control considers a variety of goals. Using seasonal load profiles and PV generation patterns, a novel and efficient northern goshawk optimization (NGO) was created to determine the appropriate control of CBs. By resolving the typical CBs allocation problem in EDNs and comparing the findings with those in the literature, the effectiveness of NGO was initially cross-verified. In the second stage, an NGO is used to maximize annual net savings while maintaining the best possible control over CBs. Considering the PVs and CBs of the network, a modified IEEE 33-bus test system was used to evaluate the effectiveness of the suggested methodology.</div></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"5 ","pages":"Pages 206-215"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141840615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Exploring electric vehicle adoption in Indonesia using zero-shot aspect-based sentiment analysis","authors":"Sinung Adi Nugroho , Sunu Widianto","doi":"10.1016/j.susoc.2024.08.002","DOIUrl":"10.1016/j.susoc.2024.08.002","url":null,"abstract":"<div><div>Transportation emissions significantly contribute to greenhouse gases (GHG) and climate change. Electric vehicles (EVs) offer a promising solution to this problem. Despite the noteworthy adoption of EVs in emerging economies like China and Europe, the pace of EV rollout in Indonesia remains sluggish. Currently, the country's rate of EV adoption is below 0.3 %, leading to stagnation in the Indonesian electric vehicle market. Several factors have impeded the adoption of EVs in Indonesia. Previous studies have investigated consumer acceptance of EV adoption in specific countries using sentiment analysis. Various data analytics and machine learning techniques have been implemented in those studies. However, those studies predominantly rely on the traditional sentiment analysis method, which assigns a single sentiment classification to each document or sentence. On the other hand, this study aims to investigate consumer acceptance of electric vehicle adoption in Indonesia through Twitter conversations. It utilises the Zero-Shot Aspect-Based Sentiment Analysis (ABSA) approach, which can provide a more fine-grained analysis of the aspects discussed and their corresponding sentiments. The findings demonstrate the effectiveness of this approach in identifying discussed aspects within tweets, though its sentiment classification performance is limited. The research also uncovers crucial aspects of electric vehicle adoption and public sentiments on Twitter. These insights could provide valuable guidance to the government and other stakeholders regarding the concerns associated with EV adoption in Indonesia.</div></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"5 ","pages":"Pages 191-205"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142428782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Does the transformation of high-tech zones into national innovation demonstration zones promote the urban green total factor productivity?","authors":"Zhang Tingting , Xie Jiaping , Xie Jiqing , Liang Ling , Bi Lingling","doi":"10.1016/j.susoc.2023.12.002","DOIUrl":"10.1016/j.susoc.2023.12.002","url":null,"abstract":"<div><p>The plan of \"transforming national high-tech zones into national innovation demonstration zones (hereinafter referred to as\" NIDZ\") launched in 2009 is an attempt to promote high-quality economic development in China. Based on the quasi-natural experiment of transforming national high-tech zones into NIDZ in 2009, this paper collected and sorted out the data of 51 cities where national high-tech zones were located in China from 2002 to 2018. Then we measured urban green total factor productivity by applying the SBM model and investigated the impact of transformation on urban green total factor productivity through the difference in difference (DID) method. The results show that: (1) Urban green total factor productivity has been improved by transforming into a NIDZ, and the results are relatively stable. (2) Mechanism analysis shows that the promotion of urban green total factor productivity by transformation is realized through green technology innovation and industrial agglomeration mechanism. (3)The heterogeneity analysis shows that the policy effects are better in the developed eastern regions and regions with lower levels of government efficiency, and have not been reflected in the less developed central and western regions and regions with higher levels of government efficiency.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"5 ","pages":"Pages 60-72"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666412724000023/pdfft?md5=8af06cb5b7ae041f1cd90e475fdcb701&pid=1-s2.0-S2666412724000023-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139637149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Calculation of embodied mercury emissions from international trade: An empirical study from China","authors":"Yao Qu, Xianhua Wu, Yuanjing Xu, Yiting Wang","doi":"10.1016/j.susoc.2024.09.001","DOIUrl":"10.1016/j.susoc.2024.09.001","url":null,"abstract":"<div><div>How to use the world input-output table to calculate the embodied mercury emissions from international trade is important for the determination of mercury emission sources and targeted reduction of mercury emissions. This paper first discusses the current situation of mercury emissions and the progress of academic research, and introduces the calculation methods and data sources of the world input-output table. Then, China's embodied mercury emissions caused by international trade are calculated using the 2019 world input-output table from the Carbon Emission Accounts and Datasets which includes detailed data for 134 sectors in 235 countries. The main conclusions are as follows: labor-intensive and energy-intensive industries have high embodied mercury emissions due to foreign final consumption demand, with the combined emissions from metal smelting, energy supply, and agriculture accounting for over 80 % of the total embodied mercury emissions. Moreover, the embodied mercury emissions caused by the final consumption demand of the United States, Japan, Germany, India, and South Korea are large, accounting for approximately 40 % of the total emissions.</div></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"5 ","pages":"Pages 181-190"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142428786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mohammad Rafiqur Rashid , Sourav Kumar Ghosh , Md. Fahim Bin Alam , Mohammad Faizur Rahman
{"title":"A Fuzzy Multi-Criteria Model with Pareto Analysis for Prioritizing Sustainable Supply Chain Barriers in the Textile Industry: Evidence from an Emerging Economy","authors":"Mohammad Rafiqur Rashid , Sourav Kumar Ghosh , Md. Fahim Bin Alam , Mohammad Faizur Rahman","doi":"10.1016/j.susoc.2023.11.002","DOIUrl":"https://doi.org/10.1016/j.susoc.2023.11.002","url":null,"abstract":"<div><p>The textile industry supply chains (SC) face numerous risks and disruptions due to the changing dynamics of high demand and limited resources. The impact of epidemics and regional conflicts further complicates global business operations, especially in emerging economies. In this context, the textile sector in these economies must prioritize Sustainable Supply Chain Management (SSCM) to achieve cost reduction, enhance productivity, and improve profitability to sustain their business. Although research has examined several SSCM viewpoints, the barriers that prevent emerging economies from adopting SSCM in the textile sector to meet the Sustainable Development Goals (SDGs) are not sufficiently highlighted in the empirical literature that has already been published. This study analyzes different barriers and investigates how they are interconnected. From the literature research, 17 main barriers were first identified in the process. The barriers were then prioritized in order of significance using a combination of fuzzy theory, Pareto analysis, and the Decision-Making Trial and Evaluation Laboratory (DEMATEL) framework. Finally, the cause-and-effect relationships among these barriers were established. A lack of commitment from the supplier's top management, insufficient financial incentives, and the absence of supportive government standards and regulations were identified as the three topmost significant barriers to SSCM adoption. For the textile sector, governments, and policymakers in emerging economies, the study's results are helpful since they will assist them create mitigation strategies to get rid of these barriers and achieve long-term sustainability.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"5 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S266641272300017X/pdfft?md5=b8c915b7a77eb3a8fa9d0f05d3573999&pid=1-s2.0-S266641272300017X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139503783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}