Socio-economic Planning Sciences最新文献

{"title":"A hybrid decision support system for transport policy selection: A case study on Russia's Northern Sea route in Artic region","authors":"Galip Cihan Yalçın ,&nbsp;Elif Gürdal Limon ,&nbsp;Karahan Kara ,&nbsp;Onur Limon ,&nbsp;Pınar Gürol ,&nbsp;Muhammet Deveci ,&nbsp;Özgür Demirayak ,&nbsp;Hana Tomášková","doi":"10.1016/j.seps.2025.102171","DOIUrl":"10.1016/j.seps.2025.102171","url":null,"abstract":"<div><div>The selection of transport policies by countries is critical both for international relations and for the implementation of effective and sustainable transport practices. Countries consider numerous parameters when deciding on transport policies. This study aims to develop a Decision Support System (DSS) to assist countries in selecting transport policies and to demonstrate its applicability. The primary motivation of the research is to identify transport policies for Russia's Arctic region and to determine the best alternative policy based on expert evaluations. For this purpose, the IF-SIWEC-ARLON (<em>Intuitionistic Fuzzy Sets - Simple Weight Calculation - Alternative Ranking Using Two-Step Logarithmic Normalization</em>) hybrid method was developed as a DSS in this study. To implement this hybrid method, a decision model incorporating experts, criteria, and transport policies was first established. The contribution levels of experts to the decision-making process were calculated using IF sets. Next, the criteria weights were determined using the IF-SIWEC approach. Finally, the ranking of transport policies was carried out using the IF-ARLON method. An algorithm representing the application of this hybrid method was developed and applied to a case study focusing on Russia's transport policy selection process of Northern Sea Route (NSR) in the Arctic region. The results supported the successful application of the IF-SIWEC-ARLON hybrid method. Its robustness was tested through sensitivity analysis scenarios, while the consistency of the findings was verified via comparative analyses. The study concluded that the best transport policy for Russia's Arctic region is \"Improved regulatory control with strategic international partnerships\", with the most influential criterion in the decision process identified as \"<em>State interests, security, and sovereignty</em>.\".</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"98 ","pages":"Article 102171"},"PeriodicalIF":6.2,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143377316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"San Francisco Bay area community cohesion and resilience: Two case studies","authors":"Alexander Gilgur,&nbsp;Jose Emmanuel Ramirez-Marquez","doi":"10.1016/j.seps.2025.102157","DOIUrl":"10.1016/j.seps.2025.102157","url":null,"abstract":"<div><div>In this submission, the authors develop an innovative approach to measuring community resilience by mathematical analysis of its members’ social-media microblogs. The approach involves applying machine-learning and graph-analytic techniques to infer social cohesion, which is later used as the state variable by which resilience is measured. We analyze community cohesion and its dynamics during two natural disasters that hit San Francisco Bay Area with an interval of only two years - the wildfires of 2020 and the torrential rainstorms during the water year of 2022/23.</div><div>The backdrop of the wildfires was characterized by the first year of the COVID pandemic, with all the uncertainty, deficit of personal protective equipment (PPE), loss of jobs, social-justice protests, and Presidential elections. For the rainstorms, the backdrop consisted of the Omicron variant of COVID, structural damage due to heavy rains and winds, and midterm elections. Bay Area economy too was in a different state during the wildfires than it was during the rainstorms. In this submission, we measure the community resilience based on the dynamics of Bay Area recovering from these events. We propose novel metrics for community cohesion and investigate the mechanisms by which emotions, local economy, weather, and air quality affects community cohesion. We also explore whether community resilience is influenced by these mechanisms.</div><div>Specifically, we analyze the mediating role played by emotions in the community cohesion and resilience processes.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"98 ","pages":"Article 102157"},"PeriodicalIF":6.2,"publicationDate":"2025-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143438012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dynamic decision-making of the e-commerce supply chain considering greenwashing and sales format","authors":"Liying Yu ,&nbsp;Hui Xu ,&nbsp;Ziyuan Zhang","doi":"10.1016/j.seps.2025.102170","DOIUrl":"10.1016/j.seps.2025.102170","url":null,"abstract":"<div><div>With the rapid growth of e-commerce, reselling and agency selling have emerged as two prominent sales formats within the e-commerce supply chain (ECSC), alongside which the phenomenon of greenwashing has also become prevalent. How to choose the optimal combination of greenwashing and sales format to achieve long-term sustainable development of the ECSC has become a pressing issue. Considering greenwashing and sales formats, this paper constructs differential game models of the manufacturer and the e-commerce platform under four scenarios. Then the feedback dynamic equilibrium strategies are obtained, the impacts of greenwashing and sales formats on ECSC decision are analyzed and the optimal combination of greenwashing and sales format is thoroughly discussed. Results show that when the exposure probability of greenwashing is low, the manufacturer tends to adopt greenwashing behavior, but this move will harm the interest of the e-commerce platform. There exists a weakening effect of greenwashing, and this effect is more extensive in agency selling format. Commission rate determines the sales format selection. When the commission rate is in a specific interval, both the manufacturer and the e-commerce platform will prefer agency selling format, otherwise, they may not reach an agreement on sales format. For the e-commerce platform, the point where profit peak is called the optimal commission rate, which will increase as the exposure probability of greenwashing goes up. Last, consumer trust has a significant impact on both greenwashing and sales format selection. The increase in consumer trust can enhance manufacturer's greenwashing profit and create more opportunities for greenwashing. As consumer trust increases, the commission rate threshold range for both the manufacturer and the e-commerce platform to agree on agency selling format will move towards the left.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"98 ","pages":"Article 102170"},"PeriodicalIF":6.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143349915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Performance evaluation of Chinese and foreign property insurance companies considering negative data: Based on the dynamic two-stage IBP-SBM model","authors":"Peide Liu ,&nbsp;Huizhi Sun ,&nbsp;Hongxue Xu","doi":"10.1016/j.seps.2025.102169","DOIUrl":"10.1016/j.seps.2025.102169","url":null,"abstract":"<div><div>In the insurance industry, performance evaluation is a crucial instrument for resource management, allocation, and industry development. Negative data, however, have received little attention in the present evaluation system and are considered an undesirable consequence of research evaluation. To fill this gap, this paper establishes an evaluation indicator system that includes negative data and proposes the dynamic two-stage improved base point slacks-based measure (IBP-SBM) model for handling negative data. The model fully considers the internal structure of the production process and the measurement of intermediate products, and obtains the system efficiency and stage efficiency in two steps. In order to verify the applicability of the model, we evaluate the performance of 48 Chinese and foreign property insurance companies over the period from 2018 to 2020 through the proposed model. The empirical results indicate that variations in the investment stage are primarily responsible for shifts in the overall efficiency of the property insurance industry. With this method, decision-making is aided by a wealth of information.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"98 ","pages":"Article 102169"},"PeriodicalIF":6.2,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing food security at the last-mile: A light-weight and scalable decision support system for the public distribution system in India","authors":"S. Sivanandham ,&nbsp;S. Srivatsa Srinivas","doi":"10.1016/j.seps.2025.102166","DOIUrl":"10.1016/j.seps.2025.102166","url":null,"abstract":"<div><div>Emanating from the food shortages in the 1960s, the public distribution system (PDS) in India has undergone various transformations through the years to expand food security across different regions of the country. Food grains, procured from the farmers, are processed in mills and transported from the central warehouses to the district warehouses and then finally to the fair price shops in the district. Given the district administration's role in managing public distribution operations by contracting with cooperatives who provide logistics services at the last mile, we develop a light-weight and scalable operations research-based decision support system for food grain distribution from the district warehouses to the fair price shops. Our study focusses on the last-mile distribution in the Ramanathapuram district of Tamil Nadu, India wherein the food grains need to be transported from the eight district warehouses associated with different cooperatives to the fair price shops. Given the current mapping of the district warehouses to the fair price shops, we establish the baseline by running the vehicle routing problem for each district warehouse to arrive at the baseline distances for each district warehouse and the entire district. Subsequently, we perform a remapping of the district warehouses to the fair price shops by running a relaxed version of the assignment problem and then run the vehicle routing problem over these revised clusters. Results indicate that 9% savings in total transportation costs is generated with the remapping procedure. Our light-weight decision support system acts as a valuable policy tool to the district administrators in establishing contracts with the cooperatives for each district warehouse, with implications for scaling it across the country.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"98 ","pages":"Article 102166"},"PeriodicalIF":6.2,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deprivation cost theory in humanitarian relief: A literature review and prospects","authors":"Sheng Zhong,&nbsp;Longsheng Wang","doi":"10.1016/j.seps.2025.102168","DOIUrl":"10.1016/j.seps.2025.102168","url":null,"abstract":"<div><div>The concept of deprivation cost, which directly quantifies human suffering, has been extensively applied in humanitarian relief operations across various disaster scenarios. The recent COVID-19 pandemic has introduced a novel context for the study of deprivation cost. The methodologies for applying deprivation cost may vary significantly across different scenarios, indicating a potential correspondence between the application methods and specific scenarios. To advance the development of deprivation cost theory and its application to biological disasters, this study systematically reviews 58 studies sourced from the Scopus and WoS databases, synthesizing diverse insights contributed by existing research on deprivation cost modeling methodologies. Drawing on various scenarios, the study examines the selections related to the characteristics of deprivation cost, functional forms, objective functions, assumptions, and calculation methods. Upon constructing the theoretical and applied framework, the study investigates the specific characteristics of deprivation cost research in biological disasters, concluding with suggestions for future research directions.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"98 ","pages":"Article 102168"},"PeriodicalIF":6.2,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Managing production capacity reserves for emergency supplies: A public-private option contract model with a loss-averse supplier","authors":"Ning Yu ,&nbsp;Jun Tian ,&nbsp;Gengzhong Feng ,&nbsp;Yang Liu ,&nbsp;Mohammad Moshtari","doi":"10.1016/j.seps.2025.102164","DOIUrl":"10.1016/j.seps.2025.102164","url":null,"abstract":"<div><div>The use of contracts to formalize public-private framework agreements (FAs) for emergency supplies reserves has attracted significant attention. Humanitarian decision-makers (HDMs) are increasingly focused on production capacity reserves besides physical emergency stockpiles. Yet, suppliers cooperating with the HDMs often exhibit diverse behavioral preferences, which may cause their decisions to deviate from perfect rational decision-making. To bridge this gap, this paper considers a loss-averse supplier and builds a model of production capacity reserves, wherein production capacity can be capable of being swiftly converted into tangible products to meet urgent demands. The authority's order quantity of emergency options is determined, as is the supplier's reserve amount of production capacity. A comparative analysis reveals that the loss-averse supplier may exhibit two reservation biases compared to a risk-neutral body, i.e., over- and under-stocking of production capacity. When the aspiration level of unit profit drops below zero, overstocking gradually transitions to understocking as the authority's regular inventory level of emergency supplies lowers. Moreover, we uncover the relationship between the unit cost of booking options and the price of emergency purchases such that the supplier's reserve amount of production capacity matches the authority's order decision. Meanwhile, two specific conditions under which the humanitarian supply chain could achieve coordination are presented. Finally, there exists an optimal reservation price that is agreed on by all humanitarian members and benefits them. Overall, exploring the effects of individual preferences on the stockpiling of emergency production capacity provides significant insights for effectively managing emergency production capacity reserves, maintaining the coordination of the humanitarian system, and screening qualified suppliers.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"98 ","pages":"Article 102164"},"PeriodicalIF":6.2,"publicationDate":"2025-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of Green Deal compliance performance with a hybrid comparative multi-attribute decision model","authors":"Mehmet Karadag ,&nbsp;Muhammet Gul ,&nbsp;Melih Yucesan ,&nbsp;Miguel Ortiz-Barrios ,&nbsp;Alessio Ishizaka ,&nbsp;Jehangir Khan","doi":"10.1016/j.seps.2025.102163","DOIUrl":"10.1016/j.seps.2025.102163","url":null,"abstract":"<div><div>The environmental and economic transformation initiated by the European Green Deal is influencing not only EU member states, but also other countries engaged in trade with the EU. This transformation mandates a shift towards sustainable practices in sectors such as agriculture, industry, transportation, energy, and finance. Compliance with the Green Deal is increasingly crucial for countries, particularly those with significant commercial ties to the EU. However, differing levels of development lead to varying degrees of implementation. While studies on the Green Deal compliance of EU member states exist, an evaluation of Türkiye—a candidate EU member with substantial trade relations—would address a significant gap in the literature. This study introduces a novel hybrid comparative multi-attribute decision model that combines subjective (Best Worst Method and its derivatives) and objective (Entropy) weighting to determine the relative importance of 14 sub-criteria under three main criteria: “Reducing” the impacts of climate change, “Protecting” the planet and health, and “Enabling” a green and just transition. Using the Ratio Product Model (RPM), Türkiye's Green Deal compliance from 2017 to 2021 was evaluated. Sensitivity analysis was conducted to validate the robustness of the findings, and comparisons were made using various multi-attribute decision models, including SAW, TOPSIS, and VIKOR, as well as benchmarking against EU countries. The criteria weights, derived from a combination of subjective and objective methods, highlighted the dominant importance of the “Reducing” criterion across all methods. The “Enabling” and “Protecting” criteria showed slight variations in importance depending on the method. The RPM results indicated that 2021 was Türkiye's best-performing year in terms of Green Deal compliance, while 2017 showed the weakest performance. Despite some fluctuations between 2018 and 2019, Türkiye demonstrated significant progress overall. The study not only advances the methodology for evaluating Green Deal compliance but also provides actionable insights for policymakers and industry stakeholders, enabling more informed decision-making. By highlighting Türkiye's trajectory, the findings offer strategic guidance for non-EU countries aiming to align with Green Deal objectives, fostering sustainable development and strengthening economic ties with the EU.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"98 ","pages":"Article 102163"},"PeriodicalIF":6.2,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The PLS-PM approach to analyze the quality of health services over time","authors":"Corrado Crocetta ,&nbsp;Laura Antonucci ,&nbsp;Rosanna Cataldo ,&nbsp;Maria Gabriella Grassia ,&nbsp;Marina Marino ,&nbsp;Rocco Mazza","doi":"10.1016/j.seps.2025.102159","DOIUrl":"10.1016/j.seps.2025.102159","url":null,"abstract":"<div><div>The study of the quality of services provided in the health sector plays a fundamental role in applied statistical studies. The work focuses on using Structural Equation Modeling Path Modeling as a valuable way to analyze longitudinal data relating to the level of the satisfaction expressed with respect to a selection of public and private operators. The aim of the study is to develop an experimental model to measure the level of satisfaction with the services provided by an external organization over time. In the work, the data used result from a survey on the services offered by Sanita’ Service s.r.l. at the ASL (local health organization) agencies in Foggia.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"98 ","pages":"Article 102159"},"PeriodicalIF":6.2,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ANP/GCR-based SWOT method for making group strategic decisions with consensus reaching","authors":"Yuan-Wei Du ,&nbsp;Ya-Lu Sun ,&nbsp;Qun Chen","doi":"10.1016/j.seps.2025.102160","DOIUrl":"10.1016/j.seps.2025.102160","url":null,"abstract":"<div><div>The Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis serves as an effective strategic tool for identifying both internal and external factors influencing an organization. However, traditional SWOT analysis tends to be highly subjective and often overlooks critical aspects such as the dynamics of decision-making groups, dependencies among influencing factors, uncertainties in the decision-making environment, and conflicting opinions within groups. To address these limitations, we propose a method that integrates the Analytic Network Process/Generalized Combination Rule (ANP/GCR)-based SWOT method for making group strategic decisions with consensus reaching. Initially, decision information is extracted based on the knowledge structure of expert group members. Subsequently, this group information is synthesized using the GCR; this synthesis considers the importance of each expert's input and the reliability of their respective decision information. Following this step, a consensusreaching model is employed to derive decision information that meets experts' satisfaction levels. Finally, we utilize the ANP method to identify optimal strategic alternatives. The effectiveness of our proposed approach is illustrated through a case study focused on strategic decision-making for enhancing ecological practices in marine ranching, and its validity is further supported by comparative analyses.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"98 ","pages":"Article 102160"},"PeriodicalIF":6.2,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}