IEEE Transactions on Engineering Management最新文献_第10页

Exploring the Evolution of Collaborative Innovation in the Construction and Demolition Waste Management Industry: Evidence From China 建筑垃圾管理行业协同创新的演进：来自中国的证据

IF 4.6 3区管理学

IEEE Transactions on Engineering Management Pub Date : 2025-06-17 DOI: 10.1109/TEM.2025.3580426

Mengqi Yuan;Haoran Liu;Hui Wang;Yudan Dou;Xianfei Yin

{"title":"Exploring the Evolution of Collaborative Innovation in the Construction and Demolition Waste Management Industry: Evidence From China","authors":"Mengqi Yuan;Haoran Liu;Hui Wang;Yudan Dou;Xianfei Yin","doi":"10.1109/TEM.2025.3580426","DOIUrl":"https://doi.org/10.1109/TEM.2025.3580426","url":null,"abstract":"The construction and demolition waste management industry (CDWMI) plays a strategic role in energy conservation, emission reduction, and the development of a circular economy. Technological innovation, the cornerstone of efficient waste reduction, reuse, and recycling practices, has increasingly attracted global attention. The complexity and uncertainty of CDWMI innovation necessitate collaborative approaches. However, existing research primarily focuses on developing and applying specific technologies, overlooking macroscopic and quantitative measurements of collaborative innovation in the CDWMI. This research evaluates the overall state and dynamics of CDWMI collaborative innovation. First, we collected 1050 cooperative patents and categorized the industry development into distinct stages using technology life cycle analysis. Next, we examined the network structure of collaborative innovation through social network analysis. Finally, we revealed network characteristics and evolutionary processes across different stages from geographical, technological, and organizational dimensions. The results indicate that geographical distance has no significant impact on partnership formation, the technological focus has shifted from recycled building materials to crushing technology, and core enterprises-dominated subgroups have emerged, exhibiting an island effect. This research offers an overview of the actual state of CDWMI collaborative innovation and its underlying causes, marking an advancement over existing research. The findings can assist policymakers in formulating evidence-based strategies to promote industry development.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"2978-2994"},"PeriodicalIF":4.6,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144671158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis of the Influence of Decision Makers’ Fuzzy Behavioral Patterns Under Power Asymmetry Conflict 权力不对称冲突下决策者模糊行为模式的影响分析

IF 4.6 3区管理学

IEEE Transactions on Engineering Management Pub Date : 2025-06-16 DOI: 10.1109/TEM.2025.3579959

Lu Chen;Witold Pedrycz;Haiyan Xu

{"title":"Analysis of the Influence of Decision Makers’ Fuzzy Behavioral Patterns Under Power Asymmetry Conflict","authors":"Lu Chen;Witold Pedrycz;Haiyan Xu","doi":"10.1109/TEM.2025.3579959","DOIUrl":"https://doi.org/10.1109/TEM.2025.3579959","url":null,"abstract":"Asymmetric power conflicts arise from resource imbalances among stakeholders, where dominant parties often control situations through rule-setting, while weaker parties face suppression and manipulation. Decision makers (DMs) in such conflicts exhibit bounded rationality and diverse risk attitudes, significantly influencing conflict outcomes. Traditional conflict resolution frameworks, like the graph model for conflict resolution (GMCR), inadequately address power asymmetry and risk attitudes, leading to unrealistic equilibria. This study aims to bridge this gap by integrating risk attitude analysis into the GMCR framework, enhancing its capability to resolve asymmetric power conflicts. Specifically, we introduce a novel approach called triangular fuzzy optimal discrete fitting to assess the risk attitude of DMs amidst asymmetric power conflicts. Additionally, we enhance the principles for categorizing DMs’ risk attitude types, surpassing the original optimal discrete fitting method’s limitations. Moreover, we define the behavioral pattern stability concepts for the leader and the follower in the GMCR framework during power asymmetry conflicts. Applied to a carbon emission reduction conflict case, we find that as a general risk seeker, although the follower will not choose the options that damage the leader’s benefit, it will counter the leader’s sanctions by several risky measures for its own benefit. Our methodology and algorithm not only demonstrate practical application but also assist DMs in identifying conflict resolution strategies across varied behavioral patterns.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"2631-2645"},"PeriodicalIF":4.6,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144524407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Identifying Meaningful Targets for Complex Lean 4.0 Manufacturing Using Business Analytics: A Case Study in Biopharmaceutical Manufacturing 使用商业分析识别复杂精益4.0制造的有意义目标：生物制药制造的案例研究

IF 4.6 3区管理学

IEEE Transactions on Engineering Management Pub Date : 2025-06-12 DOI: 10.1109/TEM.2025.3575692

William Fahey;Gareth Thornton;Eimear O'Brien;Olivia McDermott;Paula Carroll

{"title":"Identifying Meaningful Targets for Complex Lean 4.0 Manufacturing Using Business Analytics: A Case Study in Biopharmaceutical Manufacturing","authors":"William Fahey;Gareth Thornton;Eimear O'Brien;Olivia McDermott;Paula Carroll","doi":"10.1109/TEM.2025.3575692","DOIUrl":"https://doi.org/10.1109/TEM.2025.3575692","url":null,"abstract":"Traditional lean manufacturing (LM) material waste and immaterial (time and effort) reduction targets may not be of significant value for complex manufacturing. A competitive advantage in complex manufacturing lies in the accumulation of process knowledge and leveraging this knowledge to improve performance metrics, such as yield. The study demonstrates how business analytics (BAs) using cross-industry standard process for data mining can extract process knowledge from human experts and historical manufacturing data to provide actionable insights. The study explores how established LM tools, such as standard work and 5s, can be adapted to deploy the s recommendations on the manufacturing floor, leading to Lean 4.0. The proposed approach is validated on a case study in biopharmaceutical manufacturing, resulting in a 6% increase in product yield. The study discusses how the successful combination of BAs and LM can provide useful process knowledge insights in complex manufacturing through an adapted Lean 4.0 framework to target non-traditional performance measures such as yield.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"2356-2362"},"PeriodicalIF":4.6,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144367012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Implementation of Blockchain Technology in a Joint Sustainability Development 区块链技术在共同可持续发展中的应用

IF 4.6 3区管理学

IEEE Transactions on Engineering Management Pub Date : 2025-06-12 DOI: 10.1109/TEM.2025.3576617

Jiho Yoon;Ju Myung Song;Ji-Hung Choi;Srinivas Talluri;Keumah Jung

{"title":"The Implementation of Blockchain Technology in a Joint Sustainability Development","authors":"Jiho Yoon;Ju Myung Song;Ji-Hung Choi;Srinivas Talluri;Keumah Jung","doi":"10.1109/TEM.2025.3576617","DOIUrl":"https://doi.org/10.1109/TEM.2025.3576617","url":null,"abstract":"Recent advancements in supply chain literature have focused on joint sustainability within the context of supplier-manufacturer relationships, particularly in scenarios in which suppliers may exhibit insufficient sustainability efforts. This study examines the intersection of joint sustainability and advanced digital technology adoption (such as Blockchain) from the fourth industrial revolution (Industry 4.0) perspective. This investigation elucidates the potential effects of implementing such technologies. However, the effects of these technologies on overall channel member profits are not a straightforward outcome due to the currently insufficient digitization levels among the stakeholders. By employing a game theory-based numerical analysis approach, the efficacy of Blockchain technology in enhancing joint sustainability efforts is assessed. We found that implementing Blockchain technology can improve channel members’ profits by enabling them to make better decisions regarding pricing, subsidies, and sustainability efforts in the joint sustainability context. We also found that while the implementation can provide more benefits to the market, individual consumer benefits can be harmed by the supplier’s opportunistic implementation behavior. This research contributes to a deeper understanding of the complexities surrounding joint sustainability development and the integration of Blockchain technology in the evolving landscape of digital supply chain innovation.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"2700-2722"},"PeriodicalIF":4.6,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144606247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Technology Sharing Strategies for New Product Diffusion With Consideration of Firms’ Risk Aversion 考虑企业风险规避的新产品扩散技术共享策略

IF 4.6 3区管理学

IEEE Transactions on Engineering Management Pub Date : 2025-06-11 DOI: 10.1109/TEM.2025.3578797

Weijun Zeng;Minqiang Li

{"title":"Technology Sharing Strategies for New Product Diffusion With Consideration of Firms’ Risk Aversion","authors":"Weijun Zeng;Minqiang Li","doi":"10.1109/TEM.2025.3578797","DOIUrl":"https://doi.org/10.1109/TEM.2025.3578797","url":null,"abstract":"This article examines the effects of risk aversion on the incentive for an incumbent to share its new technology with a potential entrant. While competition emerges with technology sharing, the involvement of additional firm in the development of the new-technology-based products increases the lowest willingness to pay (LWTP) of consumers for the products. A game-theoretic model is developed to analyze the two-firm competition. Results show that asymmetric risk preferences of firms can lead to their asymmetric competitive advantages (or disadvantages), which increase (decrease) the quantity of products offered by the less risk-averse firm (the more risk-averse firm) under high product substitutability. Generally, the more risk-averse the incumbent is, the more likely it is to freely share its technology; however, if competitive disadvantage exists for the entrant, then the less risk-averse incumbent is more likely to share. Moreover, the incumbent earns more (less) from licensing than from wholesaling when it is substantially less (more) risk averse than the entrant. Interestingly, while the enhancement in the consumers’ LWTP generally promotes technology sharing, it may restrain the lowly risk-averse incumbent from wholesaling to the highly risk-averse entrant in that the first-mover advantage of the entrant can mitigate its competitive disadvantage.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"2569-2582"},"PeriodicalIF":4.6,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144502943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Data-Driven Process Management for High-Quality Hip Joint Implants—A Case Study in Investment Casting 高质量髋关节植入物的数据驱动过程管理——以熔模铸造为例

IF 4.6 3区管理学

IEEE Transactions on Engineering Management Pub Date : 2025-06-11 DOI: 10.1109/TEM.2025.3575024

Janak Suthar;Jinil Persis

{"title":"Data-Driven Process Management for High-Quality Hip Joint Implants—A Case Study in Investment Casting","authors":"Janak Suthar;Jinil Persis","doi":"10.1109/TEM.2025.3575024","DOIUrl":"https://doi.org/10.1109/TEM.2025.3575024","url":null,"abstract":"Quality 4.0 aims to make zero-defect manufacturing possible across industries through automating and digitizing quality functions. Casting companies suffer from the rejection of cast components in the post production quality checks, resulting in low profitability. While meeting the clients’ specifications is vital, casting companies should upgrade their production processes digitally to compete in global markets. This article proposes a Quality 4.0 deployment framework for investment casting companies. We adopt a case-based research methodology, and the case company makes metallic hip joint implants in an investment casting plant. We characterize each defect type and mechanical property, exploring various machine learning algorithms, and the best-fit models are those with high predictive performance (88% accurate in predicting defects and a root mean squared error of 0.09 in predicting mechanical properties). We perform within-case analysis to quantify the influence of potential causal variables and show the causal relationships among the implants’ quality characteristics. Furthermore, the proposed quality management system with real-time process sensing capability involves a repetitive quality inferencing scheme to predict the quality of the items being cast, which enables process regulation and further leads to the production of zero-defective castings. Hence, this case study fortifies the causal relationship of data-driven process management with the process outcomes of zero-defective casting of parts. The proposed Quality 4.0 theoretical framework, hence, emphasizes the feedback intervention and self-regulation capabilities of the casting companies for effective process management and encourages future researchers to investigate the role of data-driven process management in enhancing customer satisfaction and driving operational performance.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"2504-2520"},"PeriodicalIF":4.6,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144492459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Foresight Scenarios: The Future Impact of Technology in Freight Forwarding, an International Delphi Study 前瞻性情景：技术对货运代理的未来影响，国际德尔菲研究

IF 4.6 3区管理学

IEEE Transactions on Engineering Management Pub Date : 2025-06-11 DOI: 10.1109/TEM.2023.3264112

Benjamin Müßigmann;Heiko von der Gracht;Evi Hartmann

{"title":"Foresight Scenarios: The Future Impact of Technology in Freight Forwarding, an International Delphi Study","authors":"Benjamin Müßigmann;Heiko von der Gracht;Evi Hartmann","doi":"10.1109/TEM.2023.3264112","DOIUrl":"https://doi.org/10.1109/TEM.2023.3264112","url":null,"abstract":"The freight forwarding (FF) industry plays a key role in running global supply chains, with a sales revenue of $180.66 billion in 2021. Digitization in supply chain management, a thriving topic in the past few years, has been accelerated by the challenges of COVID-19 and presents both challenges and opportunities for the FF industry which requires freight forwarders to adapt. Since technological foresight studies for the FF space are scarce, the specific expected impacts of digitization in FF remain unrevealed today. The aim of this study is to examine upcoming changes in the FF industry expected by FF professionals and academics over the next 30 years against the background of current technological developments and to identify related resilience measures for FF organizations. Overall, 84 international experts shared their estimates in a Delphi survey. The results are clustered into four clusters that provide an outlook for the future of FF. The results show that FF organizations should adapt to developing customer expectations, a change in the FF profile due to new requirements and a change of vision for the development of human resources. Still, experts see a high relevance for FF services in the future despite all technological developments.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"308-325"},"PeriodicalIF":4.6,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144264229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cost-Sharing Agreements for the Financing of Customized Product Purchase Orders Under Asymmetric Information 信息不对称下定制产品采购订单融资的成本分担协议

IF 4.6 3区管理学

IEEE Transactions on Engineering Management Pub Date : 2025-06-11 DOI: 10.1109/TEM.2025.3578845

Anqi Li;Suresh P. Sethi;Xinyu Wang;Shuhua Chang

{"title":"Cost-Sharing Agreements for the Financing of Customized Product Purchase Orders Under Asymmetric Information","authors":"Anqi Li;Suresh P. Sethi;Xinyu Wang;Shuhua Chang","doi":"10.1109/TEM.2025.3578845","DOIUrl":"https://doi.org/10.1109/TEM.2025.3578845","url":null,"abstract":"We explore the combined optimization of financial and operational decisions initiated by a buyer’s cooperation with a supplier for customized production. A cost-sharing agreement provides a powerful incentive to enhance suppliers’ delivery performance within an alliance relationship. We categorize the costs into production and effort costs to investigate the effects of two kinds of cost-sharing agreements. The demand for customized products presents a significant challenge for suppliers, particularly small and medium-sized enterprises facing financing and delivery issues. It contributes to the combined effect of purchase order financing and cooperative cost-sharing agreements. We consider the supplier’s efficiency information asymmetry and obtain results regarding the signal game, describing the interactions among the supplier, buyer, and banks. This article examines the contract parameter settings (price and cost-sharing fraction) and how various signaling mechanisms (signal type or signal quantity) influence delivery and profits (tradeoff between separation costs and information rent). We show that strategically designing the signals can extend the feasible region for the least costly separating equilibrium. The findings highlight the varied roles of cost-sharing agreements in delivery incentives and supply chain coordination, offering valuable directions for managers to leverage cost-sharing agreements for improved strategy formulation in information signaling mechanisms.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"2611-2630"},"PeriodicalIF":4.6,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144524417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Logistics Optimization for Online Community Group Buying in Emerging O2O Business Modes 新兴O2O商业模式下网络社区团购的物流优化

IF 4.6 3区管理学

IEEE Transactions on Engineering Management Pub Date : 2025-06-10 DOI: 10.1109/TEM.2025.3578545

An Liu;Xinyu Wang;Jiafu Tang

{"title":"Logistics Optimization for Online Community Group Buying in Emerging O2O Business Modes","authors":"An Liu;Xinyu Wang;Jiafu Tang","doi":"10.1109/TEM.2025.3578545","DOIUrl":"https://doi.org/10.1109/TEM.2025.3578545","url":null,"abstract":"This article addresses a critical logistics optimization challenge in the online community group buying (OCGB) business mode, where the stochastic release dates (SRDs) of products create inefficiencies in delivery planning. In general, vehicle routing models assume deterministic release dates (RDs), overlooking the uncertainty of RDs that is inherent in OCGB logistics. To address this shortcoming, we introduce a vehicle routing problem with SRDs and multiple products aimed at minimizing total distance-related and penalty costs. The SRDs of aggregated products affects vehicle departure times, which poses computational challenges. We address this challenge by approximating SRDs with a Gumbel distribution and introducing a quality loss cost function to model overdue penalties. The problem is first formulated as an arc-flow model and then transformed into an equivalent set-partitioning model to increase computational efficiency and provide tighter upper bounds. To solve this problem, we propose a branch-and-price algorithm based on the set-partitioning formulation, incorporating an efficient labeling algorithm to address the pricing problem and improve column generation strategies. Extensive computational experiments validate the advantages of incorporating SRDs in logistics optimization. Additionally, a real-world case study of Meituan’s OCGB operations is used to quantify the impact of SRDs on distribution decisions, providing actionable managerial insights to increase delivery efficiency in stochastic environments.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"2535-2551"},"PeriodicalIF":4.6,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144492190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reduce-Then-Predict or Simultaneous Reduce-and-Predict? Data-Driven Sparse Modeling for Improving R&D Efficiency 先减少再预测还是同时减少再预测？提高研发效率的数据驱动稀疏建模

IF 4.6 3区管理学

IEEE Transactions on Engineering Management Pub Date : 2025-06-10 DOI: 10.1109/TEM.2025.3577580

Pa-Chieh Hsiao;Yen-Chun Chou;Howard Hao-Chun Chuang

{"title":"Reduce-Then-Predict or Simultaneous Reduce-and-Predict? Data-Driven Sparse Modeling for Improving R&D Efficiency","authors":"Pa-Chieh Hsiao;Yen-Chun Chou;Howard Hao-Chun Chuang","doi":"10.1109/TEM.2025.3577580","DOIUrl":"https://doi.org/10.1109/TEM.2025.3577580","url":null,"abstract":"Efficient research and development (R&D) workflows are critical in industries where early-stage results influence downstream outcomes. This study develops a predictive model to enhance R&D efficiency for a leading integrated device manufacturer specializing in printed circuit board design. To address challenges of limited data, noise and collinearity, we apply sparse principal component analysis (SPCA) to simplify simulation data, followed by least absolute shrinkage and selection operator (LASSO) regression to predict later-stage physical testing performance. Our SPCA-LASSO model reduces prediction errors by 22%–41% compared to direct LASSO regression while offering interpretable insights for engineers. In contrast, sparse principal component regression, which integrates dimension reduction and prediction, yields higher errors and unstable factor loadings. This empirical comparison between reduce-then-predict and simultaneous reduce-and-predict approaches contributes to sparse modeling and engineering analytics, offering actionable insights for improving sequential R&D processes across high-tech industries, software engineering, construction, and other sectors where early performance predictions are critical.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"2646-2660"},"PeriodicalIF":4.6,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144524396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0