IEEE Transactions on Engineering Management最新文献_第5页

Data-Driven Identification of Industrial Clusters: A Patent Analysis Approach 数据驱动的产业集群识别：专利分析方法

IF 4.6 3区管理学

IEEE Transactions on Engineering Management Pub Date : 2024-11-07 DOI: 10.1109/TEM.2024.3493627

Wenguang Lin;Ting Wang;Zhizhen Chen;Renbin Xiao

{"title":"Data-Driven Identification of Industrial Clusters: A Patent Analysis Approach","authors":"Wenguang Lin;Ting Wang;Zhizhen Chen;Renbin Xiao","doi":"10.1109/TEM.2024.3493627","DOIUrl":"https://doi.org/10.1109/TEM.2024.3493627","url":null,"abstract":"Accurate identification of industrial clusters (IIC) serves as a reference for regional economic policymaking and enterprise development decision-making. Although data-driven methods have been extensively used in previous studies to support objective and effective work, both the data sources and research algorithms have significant shortcomings for IIC. To address these challenges, this article proposes a novel research framework that integrates patent mining and machine learning. Patents, with their quantifiable knowledge attributes and accessibility from public databases, are particularly suited for macrolevel analysis of innovation activities, providing robust support for identifying and analyzing clusters on a national scale, especially knowledge-intensive ones. This article introduces an improved density-based parameter adaptive algorithm designed to effectively carry out IIC based on the geographical location of patent applicants. Based on spatial cluster types defined by Markusen (1996), target clusters are classified using patent analysis. Four quantitative indexes–scale, output, efficiency, and quantity–are proposed to evaluate clusters based on their spatial structure and industrial organization. The practical application is demonstrated through a case study of China's flexible electronics industry. In addition, the Silhouette Coefficient index is employed to compare the effectiveness of the proposed algorithm against other methods. This article advances the theory of IIC, and provides foundation for scholars, calling for empirical research on industrial clusters from the perspective of individual enterprises. It also provides practical guidance for enterprises and policymakers on the application of IIC.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"15422-15437"},"PeriodicalIF":4.6,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142679395","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

Acceptance and Development of Quantum Computing in the Netherlands and Germany: Barriers and Remedies From a Multistakeholder Perspective 量子计算在荷兰和德国的接受和发展：从多方利益相关者的角度来看障碍和补救措施

IF 4.6 3区管理学

IEEE Transactions on Engineering Management Pub Date : 2024-11-07 DOI: 10.1109/TEM.2024.3493600

Julian Martens;Indika Kumara;Dario Di Nucci;Fabiano Pecorelli;Geert Monsieur;Damian Andrew Tamburri;Willem-Jan Van Den Heuvel

引用次数: 0

Eco-Design-Based Framework for Selecting Façade Material 基于生态设计的立面材料选择框架

IF 4.6 3区管理学

IEEE Transactions on Engineering Management Pub Date : 2024-11-06 DOI: 10.1109/TEM.2024.3492494

Mona Mustafa;Khalid S. AL-Gahtani;Naif M. Alsanabani;Ahmed El Shenawy;Ayman A. Altuwaim

{"title":"Eco-Design-Based Framework for Selecting Façade Material","authors":"Mona Mustafa;Khalid S. AL-Gahtani;Naif M. Alsanabani;Ahmed El Shenawy;Ayman A. Altuwaim","doi":"10.1109/TEM.2024.3492494","DOIUrl":"https://doi.org/10.1109/TEM.2024.3492494","url":null,"abstract":"Choosing to build façade materials impacts preserving energy and the surrounding environment. A few previous papers studied the environmental aspect of choosing a building facade. This article developed an integrated eco-design system consisting of three dimensions (environmental, economic, and social). The weights of these dimensions and their subdimensions were weighted utilizing the analytical hierarchy process (AHP)/pairwise comparison approach. These weights were combined to investigate the available alternatives using the VIKOR method. This framework was then implemented in a case study involving Saudi Arabian hotel buildings. Reducing the hazardous or toxic content of building materials, energy emissions associated with materials production, and exploiting natural resources utilized in materials production were significant subdimensions. Panels made of natural stone are regarded as the most suitable alternative. This document advocates for the adoption of natural and eco-friendly materials by decision-makers and stakeholders for building facades.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"15495-15510"},"PeriodicalIF":4.6,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10745645","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142753862","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

An Interactive Preference Disaggregation Method for Renewable Energy Project Sorting With Multiple Experts 多专家可再生能源项目排序的交互式偏好分解方法

IF 4.6 3区管理学

IEEE Transactions on Engineering Management Pub Date : 2024-11-05 DOI: 10.1109/TEM.2024.3491997

Zhiying Zhang;Huchang Liao;Chonghui Zhang;Xiao-Jun Zeng

{"title":"An Interactive Preference Disaggregation Method for Renewable Energy Project Sorting With Multiple Experts","authors":"Zhiying Zhang;Huchang Liao;Chonghui Zhang;Xiao-Jun Zeng","doi":"10.1109/TEM.2024.3491997","DOIUrl":"https://doi.org/10.1109/TEM.2024.3491997","url":null,"abstract":"To mitigate power supply and demand imbalances and achieve carbon reduction goals, provinces in China have recently been promoting the development of renewable energy (RE) projects. Multiple criteria analysis is commonly employed for RE project assessment as energy considerations from multiple perspectives are required. To support governments’ reserve work on RE projects and facilitate their smooth development, this study introduces an interactive preference disaggregation approach for RE project sorting. The sorting model accounts for the influence of different experts. To resolve contradictory preferences among experts, mathematical programming models that can ensure the reliability of the decision-making results are constructed for conflicting analysis and adjustment strategy recommendations. The proposed approach achieves a certain form of “cognitive convergence” through iterative processes and finally derives sorting results aligning with the perceptions of all experts. In addition, to promote the high-quality development of RE projects, an optimization model is given to generate improvement strategies for inferior projects based on the sorting results. An illustrative example of solar photovoltaic project sorting is provided to validate the applicability of the proposed approach.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"15569-15584"},"PeriodicalIF":4.6,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142810330","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

Open Innovation Where it Really Matters: The U-Shaped Relationship Between Relative Open Innovation and Innovation Performance in Developing Countries 真正重要的开放式创新：发展中国家相对开放式创新与创新绩效的u型关系

IF 4.6 3区管理学

IEEE Transactions on Engineering Management Pub Date : 2024-11-04 DOI: 10.1109/TEM.2024.3490982

Ching T. Liao;Mehdi Bagherzadeh;Stefan Markovic;Vesna Damnjanovic

{"title":"Open Innovation Where it Really Matters: The U-Shaped Relationship Between Relative Open Innovation and Innovation Performance in Developing Countries","authors":"Ching T. Liao;Mehdi Bagherzadeh;Stefan Markovic;Vesna Damnjanovic","doi":"10.1109/TEM.2024.3490982","DOIUrl":"https://doi.org/10.1109/TEM.2024.3490982","url":null,"abstract":"In the innovation literature, there are mixed findings as to the influence of open innovation on innovation performance, which may be due to the predominantly exclusive focus on the level of open innovation rather than on its comparison with closed innovation (i.e., relative open innovation) thereby considering the costs associated with opening up. To address this issue, we empirically examine how relative open innovation is related to innovation performance. Our fieldwork is based on 130 Serbian firms. This sample is relevant because embracing open innovation can bring several benefits to firms from developing countries but, at the same time, the contextual limitations that firms in such countries have, make the adoption of open innovation costly. Using ordinary-least-squares regression, we find a U-shaped relationship between relative open innovation and innovation performance. We contribute to the literature by showing that firms with either low or high relative open innovation achieve a greater innovation performance than those with medium-level relative open innovation. This is due to the fact that the costs associated with opening up (i.e., transitioning from closed to open innovation) are highest at the medium level of relative open innovation, and especially prominent in developing countries.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"15540-15554"},"PeriodicalIF":4.6,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142789067","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

Cyber Security for Cyber–Physical Systems in Critical Infrastructures: Bibliometrics Analysis and Future Directions 关键基础设施中网络物理系统的网络安全：文献计量学分析与未来方向

IF 4.6 3区管理学

IEEE Transactions on Engineering Management Pub Date : 2024-10-31 DOI: 10.1109/TEM.2024.3489273

Mahdad Pourmadadkar;Marianna Lezzi;Angelo Corallo

{"title":"Cyber Security for Cyber–Physical Systems in Critical Infrastructures: Bibliometrics Analysis and Future Directions","authors":"Mahdad Pourmadadkar;Marianna Lezzi;Angelo Corallo","doi":"10.1109/TEM.2024.3489273","DOIUrl":"https://doi.org/10.1109/TEM.2024.3489273","url":null,"abstract":"Cyber–physical systems (CPSs) are being increasingly connected to the physical world, making them attractive targets for cyber-attacks. The consequences of CPS cyber threats are even more drastic in critical infrastructures (CIs). This issue has triggered a surge in academic publications in this field within the past decade only. Recognizing the necessity of a comprehensive analysis of academic documents published on this topic, this article intends to conduct a bibliometric analysis of CPSs cyber security in CIs. Gathering a total of 1649 documents from the Scopus and Web of Science databases, a performance analysis is first carried out through a set of performance criteria. Then, a scientific mapping is performed based on keyword co-occurrence to visualize the knowledge area for further inference. As a result, seven thematic clusters were discovered and discussed in detail. Furthermore, an agenda for future research is identified based on the results of the bibliometric analysis, providing scope to advance the knowledge area. The outcomes of this article may be used by researchers and cyber security practitioners to have an illuminated and structured view of all the research conducted on CPSs cyber security in CIs and identify paths for further investigations on the topic.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"15405-15421"},"PeriodicalIF":4.6,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142679394","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

Catch-Up in Complex Products and Systems: A Fuzzy-Set Qualitative Comparative Analysis of China's Equipment Manufacturing Industry 复杂产品和系统的赶超：中国装备制造业的模糊集定性比较分析

IF 4.6 3区管理学

IEEE Transactions on Engineering Management Pub Date : 2024-10-30 DOI: 10.1109/TEM.2024.3488183

Han Huang;Jie Xiong;Lu Xu;Zhe Yuan;Chun Liu

{"title":"Catch-Up in Complex Products and Systems: A Fuzzy-Set Qualitative Comparative Analysis of China's Equipment Manufacturing Industry","authors":"Han Huang;Jie Xiong;Lu Xu;Zhe Yuan;Chun Liu","doi":"10.1109/TEM.2024.3488183","DOIUrl":"https://doi.org/10.1109/TEM.2024.3488183","url":null,"abstract":"The rapid advancement of Chinese complex products and systems (CoPSs) enterprises marks their transition into a post-catch-up phase, challenging the conventional theories of catch-up. In this article, we employ a configurational approach to explore the intricate relationships between catch-up environments and strategies, specifically focusing on the distinct paths of state-owned enterprises (SOEs) and non-state-owned enterprises (non-SOEs) within the CoPS sector. Utilizing fuzzy-set qualitative comparative analysis with data sourced from the EU industrial research and development (R&D) investment scoreboard (2017–2020) and corresponding Chinese-listed companies, our research identifies diverse catch-up configurations for SOEs, characterized by “complexity adoption” and “complexity decipher” models. In contrast, non-SOEs encounter challenges in strategically adapting to environmental shifts, which affects their catch-up strategies. Our findings emphasize the critical role of strategic alignment with external conditions, technological learning, and resource utilization in achieving successful catch-up in CoPS. These configurations enable SOEs to effectively align internal resources with external opportunities, resulting in superior catch-up performance. In contrast, non-SOEs encounter significant obstacles in adapting to environmental changes and optimizing resource utilization, which hinders their ability to attain similar successes. Moreover, our study sheds light on specific challenges faced by non-SOEs in responding to environmental shifts. This enriched understanding provides valuable theoretical insights into the catch-up of latecomer CoPS enterprises and has practical implications for both policymakers and business practitioners.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"15375-15389"},"PeriodicalIF":4.6,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142672015","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

From Principles to Practice: Responsible Implementation of Emerging Technologies Through Innovation Dilemmas 从原则到实践：通过创新困境负责任地实施新兴技术

IF 4.6 3区管理学

IEEE Transactions on Engineering Management Pub Date : 2024-10-30 DOI: 10.1109/TEM.2024.3479413

Carlos Carbajal-Pina;Nuran Acur

{"title":"From Principles to Practice: Responsible Implementation of Emerging Technologies Through Innovation Dilemmas","authors":"Carlos Carbajal-Pina;Nuran Acur","doi":"10.1109/TEM.2024.3479413","DOIUrl":"https://doi.org/10.1109/TEM.2024.3479413","url":null,"abstract":"This article explores the imperative role of responsible innovation (RI) in guiding the development and integration of emerging technologies within society. With technological progress rapidly advancing, it becomes ever more imperative to confront the complex ethical, social, economic, and environmental challenges that accompany these innovations. This research highlights the significance of RI practices, advocating for a principle-based approach to technology development. It asserts that such an approach, which is rooted in societal values and ethical standards, is crucial for nurturing long-term societal well-being and fostering trust in new technologies, as opposed to relying solely on rule-based technology development governed by regulations. Our analysis begins with the definition of each RI principle, followed by an exploration of its relevance in addressing innovation dilemmas. Our case studies involve various sectors, including artificial intelligence, connected autonomous vehicles, and quantum computing, to showcase the practical application of these principles in real-world contexts. Through these instances, we highlight the efficacy of RI in both mitigating risks and maximizing the benefits of new technologies. In addition, the article investigates the dynamics of implementing RI within organizational frameworks and innovation processes. It provides strategic recommendations for technology managers and policymakers on how to operationalize RI principles effectively, emphasizing the need for an adaptive approach that is responsive to the rapid changes in the technology landscape. The study contributes to the academic discourse by highlighting that proactive engagement with RI can lead to more sustainable and socially acceptable technology outcomes. Ultimately, this research underscores the importance of responsible practices in innovation, proposing that a principled approach to technology development is essential for fostering long-term societal well-being and trust in new technologies.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"18-28"},"PeriodicalIF":4.6,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938222","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

A Decision Framework With q-Rung Fuzzy Preferences for Ranking Barriers Affecting Clean Energy Utilization Within Healthcare Industry 利用 q 级模糊偏好排序影响医疗保健行业清洁能源利用的障碍的决策框架

IF 4.6 3区管理学

IEEE Transactions on Engineering Management Pub Date : 2024-10-30 DOI: 10.1109/TEM.2024.3488325

Raghunathan Krishankumar;Dhruva Sundararajan;Muhammet Deveci;K. S. Ravichandran;Xin Wen;Bilal Bahaa Zaidan

{"title":"A Decision Framework With q-Rung Fuzzy Preferences for Ranking Barriers Affecting Clean Energy Utilization Within Healthcare Industry","authors":"Raghunathan Krishankumar;Dhruva Sundararajan;Muhammet Deveci;K. S. Ravichandran;Xin Wen;Bilal Bahaa Zaidan","doi":"10.1109/TEM.2024.3488325","DOIUrl":"https://doi.org/10.1109/TEM.2024.3488325","url":null,"abstract":"In this article, we aim to rank barriers hindering clean energy adoption within the healthcare industry by proposing a new framework with q-rung orthopair fuzzy data (q-ROFD). Energy is paramount in health industry, and it is estimated by the World Health Organization that nearly a billion people are treated globally with limited/no electricity. United Nation strongly recommends cutting dependencies on fossil fuels, but to meet demand, clean energy is focused. Studies on clean energies reveal that direct adoption is tough, owing to diverse barriers and ranking these barriers will provide policymakers clarity on the strategic plans. Existing studies reveal gaps in uncertainty modeling by not adequately exploring orthopair variants, human intervention reduction by failing to methodically determine diverse decision parameters, consideration of subjective attitude and interactions among entities that are essential for experts and attributes, and accounting for attribute type and yielding ranks comparable with a human decision. Motivated by the gaps, in this article, a combined q-ROFD model is presented where weights of attributes are determined via criteria importance through intercriteria correlation and rank sum and experts’ weights are obtained by rank sum. A ranking algorithm is developed with CODAS formulation for determining the barriers’ grades with risk aversion trait. The significance of the study lies in rational ranking of barriers, reduced human intervention, and methodical determination of decision parameters. The usefulness of the model is testified via a case study of barrier ranking within the Indian healthcare industry and comparison/sensitivity studies reveal the pros and cons of the developed model.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"15349-15362"},"PeriodicalIF":4.6,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142672124","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

3-D Hover Location and Drone Routing Optimization for One-to-Many Continuous Wireless Charging Problem 一对多连续无线充电问题的三维悬停定位与无人机路径优化

IF 4.6 3区管理学

IEEE Transactions on Engineering Management Pub Date : 2024-10-29 DOI: 10.1109/TEM.2024.3487654

Xiaoyang Zhou;Jiaao Xu;Tingting Guo;Shouyang Wang;Benjamin Lev

{"title":"3-D Hover Location and Drone Routing Optimization for One-to-Many Continuous Wireless Charging Problem","authors":"Xiaoyang Zhou;Jiaao Xu;Tingting Guo;Shouyang Wang;Benjamin Lev","doi":"10.1109/TEM.2024.3487654","DOIUrl":"https://doi.org/10.1109/TEM.2024.3487654","url":null,"abstract":"The Internet of Things presents a significant economic value potential, where sensors play a crucial role in its infrastructure. However, the restricted electricity of sensors limits the lifespan of the entire network. The development of modern charging technology has made it possible to realize simultaneous one-to-many charging using drones. To make better use of this charging technology, this article investigates the problem of charging sensors by drones in three-dimensional (3-D) space. Differing from the existing literature, the 3-D hovering location of the drone affects the number of sensors being charged simultaneously and consequently the service time of charging. Additionally, we consider the scenario where multiple drones serve sensors in the same area, necessitating the assurance of continuous charging services. We propose a mixed integer formulation model to minimize the total cost of completing the recharging task. To solve this problem, an improved genetic algorithm is developed. Extensive experiments are conducted to show the superiority of our proposed method, the effect of one-to-many wireless charging mode, and the sensitivities of the results to the parameters including charging radius and wind scale. This article contributes to further insights into the optimization of wireless charging strategies for sensor networks and other similar problems.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"29-46"},"PeriodicalIF":4.6,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938293","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