Journal of Economy and Technology最新文献

Valuation of a sequential compound option considering electricity generation and transmission expansions 考虑发电和输电扩建的顺序复合方案的估值

Journal of Economy and Technology Pub Date : 2025-07-16 DOI: 10.1016/j.ject.2025.07.002

Gazi Nazia Nur, Cameron A. MacKenzie, Kyung Jo Min

{"title":"Valuation of a sequential compound option considering electricity generation and transmission expansions","authors":"Gazi Nazia Nur, Cameron A. MacKenzie, Kyung Jo Min","doi":"10.1016/j.ject.2025.07.002","DOIUrl":"10.1016/j.ject.2025.07.002","url":null,"abstract":"<div><div>An integrated model considering both generation and transmission expansions is needed for long-term planning in the electrical sector because of the interlinked nature of these decisions. Our paper presents a sequential compound option framework to assist decision-makers in the electric power industry in evaluating generation and transmission expansion investments. By incorporating electricity demand uncertainty into the decision-making process, this framework offers a structured approach for assessing short-term generation decisions and long-term transmission decisions in a coordinated manner. Assuming electricity demand follows geometric Brownian motion (GBM), we employ a binomial lattice model to map uncertain demand and evaluate the value of the compound option. The locational marginal price (LMP), which reflects the physical constraints of the power network, is used as the basis for valuation in our model, and reductions in LMP resulting from expansions serve as the measure of project benefit. This integrated approach enables decision-makers to assess the feasibility of generation and transmission expansion projects within a unified framework and determine the optimal timing for exercising the underlying options.</div></div>","PeriodicalId":100776,"journal":{"name":"Journal of Economy and Technology","volume":"4 ","pages":"Pages 57-76"},"PeriodicalIF":0.0,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144703400","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}

引用次数: 0

A supervised variational autoencoder framework for dimensionality reduction and predictive modeling in high-dimensional socioeconomic data 一个用于高维社会经济数据降维和预测建模的监督变分自编码器框架

Journal of Economy and Technology Pub Date : 2025-06-18 DOI: 10.1016/j.ject.2025.06.001

Pei Xue , Tianshun Li

引用次数: 0

Implications of algorithmic bias in AI-driven emergency response systems 人工智能驱动的应急响应系统中算法偏差的影响

Journal of Economy and Technology Pub Date : 2025-06-02 DOI: 10.1016/j.ject.2025.05.003

Katsiaryna Bahamazava

{"title":"Implications of algorithmic bias in AI-driven emergency response systems","authors":"Katsiaryna Bahamazava","doi":"10.1016/j.ject.2025.05.003","DOIUrl":"10.1016/j.ject.2025.05.003","url":null,"abstract":"<div><div>In this paper, we introduce a framework to evaluate the economic implications of algorithmic bias specifically for the emergency response systems that incorporate AI. Unlike existing research, which mostly addresses technical or ethical aspects in isolation, our approach integrates economic theory with algorithmic fairness to quantify and systematically analyze how biases in data quality and algorithm design impact resource allocation efficiency, response time equity, healthcare outcomes, and social welfare. Using explicit modeling of emergency-specific variables, which includes time sensitivity and urgency, we demonstrate that biases substantially exacerbate demographic disparities. This could lead to delayed emergency responses, inefficient resource utilization, worsened health outcomes, and significant welfare losses. Our numerical simulations further illustrate the economic viability and effectiveness of bias mitigation strategies, such as fairness-constrained optimization and improved data representativeness, in simultaneously enhancing equity and economic efficiency. The framework presented provides policymakers, healthcare providers, and AI developers with actionable insights and a robust economic rationale for deploying equitable AI-driven solutions in emergency management contexts.</div></div>","PeriodicalId":100776,"journal":{"name":"Journal of Economy and Technology","volume":"4 ","pages":"Pages 20-34"},"PeriodicalIF":0.0,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144623529","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}

引用次数: 0

Corrigendum to “Federated learning and information sharing between competitors with different training effectiveness” [J. Econ. Technol. (2025) 1–9] “不同训练效果的竞争者之间的联邦学习和信息共享”的勘误表[J]。经济学。抛光工艺。(2025) 1 - 9)

Journal of Economy and Technology Pub Date : 2025-05-13 DOI: 10.1016/j.ject.2025.02.002

Jiajun Meng , Jing Chen , Dongfang Zhao

引用次数: 0

The impact of customer boredom on the efficacy of a rewards 顾客厌倦感对奖励效果的影响

Journal of Economy and Technology Pub Date : 2025-05-11 DOI: 10.1016/j.ject.2025.04.001

Axel Stock , Minoo Talebi Ashoori

引用次数: 0

Blockchains effects on responsiveness to recalls in the food and beverage industry 区块链对食品和饮料行业召回反应的影响

Journal of Economy and Technology Pub Date : 2025-05-05 DOI: 10.1016/j.ject.2025.05.001

Abbas Keramati , Bethany Siau , Tyler Bellitto , Jafar Heydari , Tanya Panchal

{"title":"Blockchains effects on responsiveness to recalls in the food and beverage industry","authors":"Abbas Keramati , Bethany Siau , Tyler Bellitto , Jafar Heydari , Tanya Panchal","doi":"10.1016/j.ject.2025.05.001","DOIUrl":"10.1016/j.ject.2025.05.001","url":null,"abstract":"<div><div>Blockchain technology, by revolutionizing the way businesses use data, is shifting the cost-responsiveness frontier. While the most popular application of blockchain is cryptocurrency, nowadays it is touching many other businesses including the food and beverage industry. This paper is a short survey in assessing the usefulness of blockchain technology in the food and beverage supply chain, with a narrow focus on the impact on the product recalls. While recalls are crucial in the food and beverage industry, as they deal with public health, they happen frequently and therefore an efficient and responsive recall process is essential. This paper investigates whether US companies utilizing blockchain technology experience shorter recall durations. Data from Food and Drug Administration (FDA) recall datasets, specifically targeting companies implementing blockchain technology, are analyzed using statistical analysis methods. The results reveal that companies adopting blockchain technology have significantly shorter recall times, demonstrating their usefulness in food and beverage recalls, along with its other advantages. This study highlights the potential of blockchain in improving recall management within the food and drink industry and provides applicable insights for food and beverage supply chain managers.</div></div>","PeriodicalId":100776,"journal":{"name":"Journal of Economy and Technology","volume":"3 ","pages":"Pages 283-298"},"PeriodicalIF":0.0,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144068898","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}

引用次数: 0

UCM-NetV2: An efficient and accurate deep learning model for skin lesion segmentation UCM-NetV2：一种高效、准确的皮肤病变分割深度学习模型

Journal of Economy and Technology Pub Date : 2025-02-22 DOI: 10.1016/j.ject.2025.02.001

Chunyu Yuan , Dongfang Zhao , Sos S. Agaian

{"title":"UCM-NetV2: An efficient and accurate deep learning model for skin lesion segmentation","authors":"Chunyu Yuan , Dongfang Zhao , Sos S. Agaian","doi":"10.1016/j.ject.2025.02.001","DOIUrl":"10.1016/j.ject.2025.02.001","url":null,"abstract":"<div><div>Accurate segmentation of skin lesions from dermoscopic images is crucial for early skin cancer detection, yet variations in lesion appearance and image artifacts present challenges. This study proposes an efficient deep learning model, UCM-NetV2, to improve accuracy and computational efficiency. UCM-NetV2 enhances the UCM-Net architecture with a novel \"cyber-structure\" com- bining Multilayer Perceptron and CNN layers, improving prediction accuracy while maintaining an ultra-lightweight design with only 0.046 million parameters. Evaluations on the ISIC2017 and ISIC2018 datasets demonstrate that UCM-NetV2 outperforms existing methods in accuracy and com- putational efficiency, achieving up to 67 times faster inference speeds than U-Net and requiring less than 0.04 GFLOPs. These advancements make skin lesion analysis more accessible, particularly in resource-limited settings, enabling proactive skin health monitoring and facilitating teledermatology. To foster further innovation in mobile health diagnostics, the source code for UCM-NetV2 is on <span><span>https://github.com/chunyuyuan/UCMV2-Net</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":100776,"journal":{"name":"Journal of Economy and Technology","volume":"3 ","pages":"Pages 251-263"},"PeriodicalIF":0.0,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143854789","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}

引用次数: 0

Remanufacturing facility installation decisions under product sourcing cost uncertainties: A real options approach 产品采购成本不确定性下的再制造设施安装决策：实物期权方法

Journal of Economy and Technology Pub Date : 2025-02-17 DOI: 10.1016/j.ject.2025.02.003

Mohammad Ahnaf Sadat, K. Jo Min

{"title":"Remanufacturing facility installation decisions under product sourcing cost uncertainties: A real options approach","authors":"Mohammad Ahnaf Sadat, K. Jo Min","doi":"10.1016/j.ject.2025.02.003","DOIUrl":"10.1016/j.ject.2025.02.003","url":null,"abstract":"<div><div>In this paper, we investigate the strategic decision-making process of a Maintenance Repair and Overhaul (MRO) company considering the installation of a remanufacturing facility under product sourcing cost uncertainties (e.g., purchasing new products from third-party, and remanufacturing used ones). We consider the remanufacturing costs to consist of constant and variable portions. The variable portion is the acquisition cost of used products, which we consider to be correlated with the new product's purchasing costs. Assuming an indefinite lifespan for the remanufacturing facility and equivalent pricing and customer valuation for remanufactured and new products, we employ the real options approach and the quasi-analytical method for problem modeling and solution derivation. The study reveals that the decision to install a remanufacturing facility is influenced by various cost combinations rather than a single threshold. We derive and show the procedure to obtain these cost combinations. Significantly, we discover that unit-based variable subsidies, such as tax exemptions, can effectively reduce this cost threshold, making remanufacturing a more viable option. This insight is crucial for policymakers and businesses, highlighting the role of government incentives in promoting sustainable remanufacturing practices and contributing to the understanding of remanufacturing as a financially viable and sustainable strategy.</div></div>","PeriodicalId":100776,"journal":{"name":"Journal of Economy and Technology","volume":"3 ","pages":"Pages 123-142"},"PeriodicalIF":0.0,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143611380","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}

引用次数: 0

Event driven technology intelligence 事件驱动技术智能

Journal of Economy and Technology Pub Date : 2025-02-01 DOI: 10.1016/j.ject.2025.01.004

Song-Kyoo Kim

{"title":"Event driven technology intelligence","authors":"Song-Kyoo Kim","doi":"10.1016/j.ject.2025.01.004","DOIUrl":"10.1016/j.ject.2025.01.004","url":null,"abstract":"<div><div>The Event Driven Technology Intelligence (EDTI) model offers a structured approach to navigating the complexities of technological innovation. This research aims to summarize the core concepts and phases of the EDTI model while also exploring its significance in various industries. By expanding on the traditional Hype-cycle model to include seven phases, EDTI guides companies from concept innovation through product execution. Crucial to this model are the Moments-of-Event which represent key breakthroughs necessary for advancing technologies. By integrating these insights, EDTI enhances decision-making, fosters innovation, and mitigates risks associated with technology obsolescence, ultimately helping organizations adapt to changing consumer demands and maintain competitiveness in dynamic markets. In the rapidly evolving landscape of technology, the EDTI model emerges as a vital tool for organizations striving to remain competitive. This model flourishes in a climate marked by global competition and the constant demand for innovation. Key to its success is the integration of critical events and technological breakthroughs, which allow businesses to effectively manage and leverage emerging technologies.</div></div>","PeriodicalId":100776,"journal":{"name":"Journal of Economy and Technology","volume":"3 ","pages":"Pages 143-150"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143619785","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}

引用次数: 0

Federated learning and information sharing between competitors with different training effectiveness 训练效果不同的竞争对手之间的联合学习和信息共享

Journal of Economy and Technology Pub Date : 2025-01-14 DOI: 10.1016/j.ject.2024.12.003

Jiajun Meng , Jing Chen , Dongfang Zhao

{"title":"Federated learning and information sharing between competitors with different training effectiveness","authors":"Jiajun Meng , Jing Chen , Dongfang Zhao","doi":"10.1016/j.ject.2024.12.003","DOIUrl":"10.1016/j.ject.2024.12.003","url":null,"abstract":"<div><div>Federated Learning (FL) is an innovative technique that allows multiple firms to collaborate in training machine learning models while preserving data privacy. This is especially important in industries where data is sensitive or subject to regulations like the General Data Protection Regulation (GDPR). Despite its substantial benefits, the adoption of FL in competitive markets faces significant challenges, particularly due to concerns about training effectiveness and price competition. In practice, data from different firms may not be independently and identically distributed (non-IID) and heterogenous, which can lead to differences in model training effectiveness when aggregated through FL. This paper explores how initial product quality, data volume, and training effectiveness affect the formation of FL. We develop a theoretical model to analyze firms’ decisions between adopting machine learning (ML) independently or collaborating through FL. Our results show that when the initial product quality is high, FL can never be formed. Moreover, when the initial product quality is low, and when data volume is low and firms’ training effectiveness differences are small, FL is more likely to form. This is because the competition intensification effect is dominated by the market expansion effect of FL. However, when there is a significant difference in training effectiveness, firms are less likely to adopt FL due to concerns about competitive disadvantage (i.e., the market expansion effect is dominated by the competition intensification effect). This paper contributes to the literature on FL by addressing the strategic decisions firms face in competitive markets and providing insights into how FL designers and policymakers can encourage the formation of FL.</div></div>","PeriodicalId":100776,"journal":{"name":"Journal of Economy and Technology","volume":"3 ","pages":"Pages 1-9"},"PeriodicalIF":0.0,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143093958","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}

引用次数: 0