IEEE Transactions on Engineering Management最新文献_第2页

Supporting Decision Making in Value-Oriented Design: A Multidomain System Value Model 支持价值导向设计中的决策：多域系统价值模型

IF 4.6 3区管理学

IEEE Transactions on Engineering Management Pub Date : 2024-10-11 DOI: 10.1109/TEM.2024.3478355

Emilia Lavi;Yoram Reich

{"title":"Supporting Decision Making in Value-Oriented Design: A Multidomain System Value Model","authors":"Emilia Lavi;Yoram Reich","doi":"10.1109/TEM.2024.3478355","DOIUrl":"https://doi.org/10.1109/TEM.2024.3478355","url":null,"abstract":"The main goal of design is to create value. Recently, there has been a growing understanding that value extends beyond purely economic and technical factors and should embrace the multifaceted sociotechnical ecosystem. Studies discussing system value acknowledge its imperative role in design while observing the lack of a comprehensive value notion complying with the need. In this article, the primary objective is to propose a holistic multidomain system value model (SVM), targeted to be general and field agnostic, to be utilized as a decision-support tool. The generation of the model includes the synthesis of multiple, transcending engineering, data sources, system value ontology formulation, and design of a concise SVM. Aiming to be practical and generally applicable, the SVM is validated by focus groups and case studies, analyzing engineered systems along with policy-related decisions. The findings indicate that the suggested model enables systematic and time-efficient system value analysis, assisting in evaluating alternatives and unveiling differing attitudes. Used as a decision-making support tool, the SVM can transform the scope of discussions, expand the range of factors considered during alternatives comparison, and guide the way toward higher value outcomes.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":null,"pages":null},"PeriodicalIF":4.6,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142524159","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

Reimagining Resilience: Visionary Leadership, Digital Transformation, and Strategic Flexibility in Small and Medium Enterprises in Construction Sector 重塑复原力：高瞻远瞩的领导力、数字化转型和建筑业中小企业的战略灵活性

IF 4.6 3区管理学

IEEE Transactions on Engineering Management Pub Date : 2024-10-10 DOI: 10.1109/TEM.2024.3477629

Mohsin Ali Soomro;Ali Nawaz Khan

{"title":"Reimagining Resilience: Visionary Leadership, Digital Transformation, and Strategic Flexibility in Small and Medium Enterprises in Construction Sector","authors":"Mohsin Ali Soomro;Ali Nawaz Khan","doi":"10.1109/TEM.2024.3477629","DOIUrl":"https://doi.org/10.1109/TEM.2024.3477629","url":null,"abstract":"This article investigates visionary leadership in the context of economic crises coupled with political strife. This article examines the visionary leaders’ influence through mediating and moderating role of digital transformation and organizational strategic flexibility, respectively, in developing organizational resilience. We test this model on data from construction sector small- and medium-sized enterprises (SMEs) in the developing economy's context. We have employed the lens of contingency theory to understand and explain the results. The collected data were analyzed on SPSS-23 and AMOS 23. Findings reveal that visionary leader would lead the organizational shift to digital transformation in economic crises in order to preserve resources and increase the efficiency of business operations. Results have further shown that digital transformation alone may not foster organizational resilience. Nevertheless, the relationship of digital transformation with resilience becomes more robust when an organization is endowed with high levels of strategic flexibility. Results also have shown that visionary leadership's influence over organizational resilience through digital transformation becomes stronger if organizations uphold strategic flexibility. This article includes valuable recommendations for SMEs to survive during economic crises and political instability and emphasizes the systematic approach when overcoming such issues to survive.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":null,"pages":null},"PeriodicalIF":4.6,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142524197","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 Promising Technologies Considering Technology Convergence: A Patent-Based Machine-Learning Approach 考虑技术融合，识别有前途的技术：基于专利的机器学习方法

IF 4.6 3区管理学

IEEE Transactions on Engineering Management Pub Date : 2024-10-09 DOI: 10.1109/TEM.2024.3477508

Jinhong Kim;Youngjung Geum

{"title":"Identifying Promising Technologies Considering Technology Convergence: A Patent-Based Machine-Learning Approach","authors":"Jinhong Kim;Youngjung Geum","doi":"10.1109/TEM.2024.3477508","DOIUrl":"https://doi.org/10.1109/TEM.2024.3477508","url":null,"abstract":"With drastic changes in technology and its converging power in new product development, technology convergence has long been considered imperative in the innovation literature. Despite these efforts, previous articles neglected the importance of technology convergence in identifying promising technologies. To address this limitation, this article assumes that patents with high mediating power for subsequent technology convergence are likely to be promising. For this purpose, this article proposes the concept of convergence distance, which is measured by the differences in IPCs in backward and forward citations of patents, and defines it as the mediating power of technology convergence. Three indicators are defined: convergence distance, convergence intensity, and convergence diversity. Using these convergence-related indicators, we developed a machine-learning model to predict promising technologies. Consequently, the models with new evolution indicators outperformed the original models. Moreover, our suggested indicators turned out to be very important for predicting promising technologies, implying that the mediating power of technology convergence is very important for predicting future promising technologies and should be considered very significant for technology opportunity discovery.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":null,"pages":null},"PeriodicalIF":4.6,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142524179","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

Differential Revenue Sharing in Platform Selling: A Framework Incorporating Pricing Decisions 平台销售中的差异化收入分享：包含定价决策的框架

IF 4.6 3区管理学

IEEE Transactions on Engineering Management Pub Date : 2024-10-09 DOI: 10.1109/TEM.2024.3477493

Xide Zhu;Tao Wang;Gui-Hua Lin;Haiyang Cui

{"title":"Differential Revenue Sharing in Platform Selling: A Framework Incorporating Pricing Decisions","authors":"Xide Zhu;Tao Wang;Gui-Hua Lin;Haiyang Cui","doi":"10.1109/TEM.2024.3477493","DOIUrl":"https://doi.org/10.1109/TEM.2024.3477493","url":null,"abstract":"Numerous Internet platforms have amassed considerable profits through market dominance, thereby exhibiting monopolistic behaviors in specific instances. In response to ensuing protests and legal actions, these platforms have been compelled to restructure their prevailing single-rate revenue sharing schemes, adopting differential designs aimed at redistributing more revenue to suppliers. In this article, we construct a two-tier supply chain model encompassing a platform with a large supplier and numerous smaller suppliers under price competition. Our investigation establishes that, in contrast with the single-rate scheme, the implementation of a differential revenue sharing scheme can significantly alleviate the financial pressures faced by small suppliers and provides substantial profit increase. Under specific conditions, this scheme also demonstrates a propensity to enhance the overall welfare of the platform and large supplier. Moreover, we illustrate that the adoption of differential scheme incentivizes both large and small suppliers to formulate distinct pricing strategies in most cases, avoiding traditional price wars, thereby mitigating the direct and potential competitive pressures among suppliers. Notably, the differential scheme appears to impose constraints on the platform's ability to extract substantial profits, yet paradoxically facilitates increased revenue generation and sustains a balance between large and small suppliers, fostering the platform's long-term dominance.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":null,"pages":null},"PeriodicalIF":4.6,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142524181","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

Relationship Among the Startup Incubation Process Phases: A Structural Equation Model 初创企业孵化过程各阶段之间的关系：结构方程模型

IF 4.6 3区管理学

IEEE Transactions on Engineering Management Pub Date : 2024-10-09 DOI: 10.1109/TEM.2024.3476917

Ana Asensio-Ciria;Carmen De-Pablos-Heredero;Francisco José Blanco Jiménez;José Luis Montes Botella;Antón García Martínez

{"title":"Relationship Among the Startup Incubation Process Phases: A Structural Equation Model","authors":"Ana Asensio-Ciria;Carmen De-Pablos-Heredero;Francisco José Blanco Jiménez;José Luis Montes Botella;Antón García Martínez","doi":"10.1109/TEM.2024.3476917","DOIUrl":"https://doi.org/10.1109/TEM.2024.3476917","url":null,"abstract":"This article quantifies the relationships among the different phases of the business incubation process. A total of 89 surveys coming from business incubators in Spain in the period 2022–2023 have been collected. A structural equation model (SEM) is applied to determine the association among incubation phases 1, 2, 3, and 4. The results show that the “spreading entrepreneurship” phase has a strongly positive significative influence on preincubation, phases 1 and 2 (hypothesis 1) basic incubation, phase 3 (hypothesis 4), and advanced incubation phase 4 (hypothesis 5). Besides, a moderate positive influence was found between preincubation and basic incubation (hypothesis 2) and between preincubation and advanced incubation (hypothesis 6). In this context, spreading entrepreneurship will be a useful tool to determine the success of entrepreneurship during the incubation process. Improving variables, such as counseling, channels, and training, will positively impact incubation. Therefore, taking action at the spreading entrepreneurship stage to improve the business incubator results and evaluate the structural deficiencies of entrepreneurs to improve their training level and technicians’ specialization is recommended. Applying SEM models in business incubators to evaluate their influence on graduation rates will also be of great interest.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":null,"pages":null},"PeriodicalIF":4.6,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10710139","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142565633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Toward Trustworthy Governance of AI-Generated Content (AIGC): A Blockchain-Driven Regulatory Framework for Secure Digital Ecosystems 实现人工智能生成内容的可信治理（AIGC）：区块链驱动的安全数字生态系统监管框架

IF 4.6 3区管理学

IEEE Transactions on Engineering Management Pub Date : 2024-10-03 DOI: 10.1109/TEM.2024.3472292

Fan Yang;Mohammad Zoynul Abedin;Yanan Qiao;Lvyang Ye

{"title":"Toward Trustworthy Governance of AI-Generated Content (AIGC): A Blockchain-Driven Regulatory Framework for Secure Digital Ecosystems","authors":"Fan Yang;Mohammad Zoynul Abedin;Yanan Qiao;Lvyang Ye","doi":"10.1109/TEM.2024.3472292","DOIUrl":"https://doi.org/10.1109/TEM.2024.3472292","url":null,"abstract":"Digital platforms are experiencing a growing presence of generative artificial intelligence (AI) content, raising concerns due to the prevalence of misinformation that disrupts market integrity. Consequently, the development of effective regulatory measures for overseeing generative AI content becomes imperative. This necessitates the establishment of mechanisms to detect and filter out inaccuracies, ensuring compliance with regulatory requirements. In addition, collaboration among experts, regulators, and AI developers is essential to encourage responsible AI deployment on digital platforms. Successful governance hinges on principles of transparency, accountability, and proactive risk management to navigate the evolving generative AI on digital platforms. Therefore, in order to address the security issues currently faced by artificial intelligence generated content (AIGC), this article first proposes a method of efficient cache mechanism for AIGC content. The secure method of determining the identity of AIGC content owners is proposed based on blockchain technology. Subsequently, it suggests mechanisms for access control and data encryption for generated content within a blockchain environment. Finally, it presents an efficient data supervision mechanism tailored to the AIGC environment. The methods outlined in this article aim to enhance security from three perspectives: protection of content creators' identities, safeguarding data security, and ensuring effective data supervision within the AIGC framework. The experimental results further confirm that our proposed method not only ensures the security of the AIGC framework but also provides an efficient data analysis and supervision solution for digital platforms.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":null,"pages":null},"PeriodicalIF":4.6,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142450826","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

Embracing Supply Chain Complexity for Enhanced Viability: The Influence of Strategic Information Flow and Network Capability 拥抱供应链复杂性以增强生存能力：战略信息流和网络能力的影响

IF 4.6 3区管理学

IEEE Transactions on Engineering Management Pub Date : 2024-10-03 DOI: 10.1109/TEM.2024.3473288

Anas Iftikhar;Imran Ali;Ismail Golgeci;Mark Stevenson

{"title":"Embracing Supply Chain Complexity for Enhanced Viability: The Influence of Strategic Information Flow and Network Capability","authors":"Anas Iftikhar;Imran Ali;Ismail Golgeci;Mark Stevenson","doi":"10.1109/TEM.2024.3473288","DOIUrl":"https://doi.org/10.1109/TEM.2024.3473288","url":null,"abstract":"The literature on supply chain complexity (SCC) has traditionally focused on its negative aspects, such as increased vulnerability to disruption. However, in this article, we take a different perspective, exploring the potential for SCC to trigger positive outcomes, such as enhanced supply chain viability (SCV). Informed by the dynamic capabilities view, we delve into the relationship between SCC and SCV, and how this is influenced by strategic information flow (SIF) and network capability (NC). Survey data from 242 firms are collected to examine hypothesized relationships. The data are analyzed using the partial least squares structural equation modeling technique. The findings reveal that exposure to SCC significantly indirectly influences SCV via both SIF and NC. Investigation of the serial mediation pathway (SCC → SIF → NC → SCV) indicates a partial mediation effect. This suggests that, while both mediators (SIF and NC) can independently enhance SCV, their combined sequential influence can synergistically offer additional advantages to achieving SCV. These findings provide a new perspective on SCC and guide managers and policymakers in establishing SCV in the face of SCC. For example, our findings suggest that investing in both NC and SIF enhances SCV more effectively than investing in either one alone.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":null,"pages":null},"PeriodicalIF":4.6,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142524096","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

Exploring the Relationship Between Enterprise Digital Transformation and Green Technological Innovation: From the Perspective of Innovation Elements Searching 探索企业数字化转型与绿色技术创新的关系：从创新要素的角度探寻

IF 4.6 3区管理学

IEEE Transactions on Engineering Management Pub Date : 2024-10-02 DOI: 10.1109/TEM.2024.3472841

Mingyue Wang;Yingming Li

{"title":"Exploring the Relationship Between Enterprise Digital Transformation and Green Technological Innovation: From the Perspective of Innovation Elements Searching","authors":"Mingyue Wang;Yingming Li","doi":"10.1109/TEM.2024.3472841","DOIUrl":"https://doi.org/10.1109/TEM.2024.3472841","url":null,"abstract":"Digital transformation has emerged as a crucial lever for promoting sustainable development worldwide. The question of whether and how digital transformation can empower green technological innovation (GTI) represents an urgent topic that necessitates exploration. Given the advantages of digital technology in optimizing factor allocation, this study examines whether the digital transformation of enterprises can enhance their capability and motivation for GTI by facilitating innovation elements searching (IES), using data from 253 manufacturing companies in China. Based on this, we categorize the impact pathway of digital transformation on GTI into two stages, using IES as a dividing point, and empirically test the influence of external environmental dynamism in the first stage and the impact of corporate environmental commitment in the second stage. The research findings indicate that 1) digital transformation exerts a positive influence on GTI within enterprises, characterized by diverse transformation pathways. Notably, the depth and breadth of IES serve as significant mediators, with the direct pathway contributing more than the two indirect pathways. 2) As the dynamism of the external environment increases, the positive effect of digital transformation on the breadth and depth of IES diminishes, revealing a moderating effect that has certain limits. Specifically, when external environmental dynamics exceed critical threshold, the moderating effect becomes insignificant. 3) Within a specified boundary range, corporate environmental commitment positively influences the relationship between IES and GTI, with variations observed in the breadth and depth of IES. This study offers valuable insights into the pathways and mechanisms of the integrated development of digitalization and green growth, thereby contributing to the achievement of sustainable development goals.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":null,"pages":null},"PeriodicalIF":4.6,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142524192","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

Artificial Intelligence for Climate Change: A Patent Analysis in the Manufacturing Sector 人工智能应对气候变化：制造业专利分析

IF 4.6 3区管理学

IEEE Transactions on Engineering Management Pub Date : 2024-10-02 DOI: 10.1109/TEM.2024.3469370

Matteo Podrecca;Giovanna Culot;Sam Tavassoli;Guido Orzes

{"title":"Artificial Intelligence for Climate Change: A Patent Analysis in the Manufacturing Sector","authors":"Matteo Podrecca;Giovanna Culot;Sam Tavassoli;Guido Orzes","doi":"10.1109/TEM.2024.3469370","DOIUrl":"https://doi.org/10.1109/TEM.2024.3469370","url":null,"abstract":"This study analyzes the current state of artificial intelligence (AI) technologies for addressing and mitigating climate change in the manufacturing sector and provides an outlook on future developments. The research is grounded in the concept of general-purpose technologies, motivated by a still limited understanding of innovation patterns for this application context. To this end, we focus on global patenting activity between 2011 and 2023 (5919 granted patents classified for “mitigation or adaptation against climate change” in the “production or processing of goods”). We examined time trends, applicant characteristics, and underlying technologies. A topic modeling analysis was performed to identify emerging themes from the unstructured textual data of the patent abstracts. This allowed the identification of six AI application domains. For each of them, we built a network analysis and ran growth trends and forecasting models. Our results show that patenting activities are mostly oriented toward improving the efficiency and reliability of manufacturing processes in five out of six identified domains (“predictive analytics,” “material sorting,” “defect detection,” “advanced robotics,” and “scheduling”). Instead, AI within the “resource optimization” domain relates to energy management, showing an interplay with other climate-related technologies. Our results also highlight interdependent innovations peculiar to each domain around core AI technologies. Forecasts show that the more specific technologies are within domains, the longer it will take for them to mature. From a practical standpoint, the study sheds light on the role of AI within the broader cleantech innovation landscape and urges policymakers to consider synergies. Managers can find information to define technology portfolios and alliances considering technological coevolution.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":null,"pages":null},"PeriodicalIF":4.6,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10703137","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142524095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A New Fuzzy KEMIRA Method With an Application to Innovation Park Location Analysis and Selection 一种新的模糊 KEMIRA 方法在创新园区选址分析和选择中的应用

IF 4.6 3区管理学

IEEE Transactions on Engineering Management Pub Date : 2024-10-01 DOI: 10.1109/TEM.2024.3471876

Mehdi Soltanifar;Madjid Tavana;Francisco J. Santos-Arteaga;Vincent Charles

{"title":"A New Fuzzy KEMIRA Method With an Application to Innovation Park Location Analysis and Selection","authors":"Mehdi Soltanifar;Madjid Tavana;Francisco J. Santos-Arteaga;Vincent Charles","doi":"10.1109/TEM.2024.3471876","DOIUrl":"https://doi.org/10.1109/TEM.2024.3471876","url":null,"abstract":"This study introduces a novel approach named the fuzzy Kemeny median indicator ranks accordance (KEMIRA) method tailored for multiattribute decision making (MADM) while capturing and processing the uncertainties inherent in complex problems. We explore preferential voting to enhance MADM models, rewriting it as a linear programming (LP) problem with weight restrictions. Our fuzzy KEMIRA model leverages LP to ascertain optimal priorities and weights for each feature, guided by discrimination intensity functions. To illustrate the effectiveness of our approach, we utilize a well-known numerical example from the literature. We also present a case study describing the location selection of an innovation park constrained by experts’ subjective judgments across various attributes. Through comparative analyses with hesitant fuzzy KEMIRA and stochastic KEMIRA, we demonstrate our proposed fuzzy KEMIRA method's higher flexibility and reduced computational burden. By emphasizing these attributes, we underscore the versatility of our method, which applies to a broad spectrum of MADM problems that go well beyond specific instances.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":null,"pages":null},"PeriodicalIF":4.6,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142565632","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