IEEE Engineering Management Review最新文献_第9页

Call for Papers for IEEE Engineering Management Review IEEE工程管理评论征文

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IEEE Engineering Management Review Pub Date : 2026-02-01 Epub Date: 2026-03-13 DOI: 10.1109/EMR.2025.3646504

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EMR IEEE Journal of Practice EMR IEEE实践杂志

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IEEE Engineering Management Review Pub Date : 2026-02-01 Epub Date: 2026-03-13 DOI: 10.1109/EMR.2025.3646438

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Why Do Some STEM Doctors in Tech Companies Go Back to Academia? 为什么一些科技公司的STEM医生会回到学术界？

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IEEE Engineering Management Review Pub Date : 2026-02-01 Epub Date: 2025-06-13 DOI: 10.1109/EMR.2025.3579538

Hochan Lee;Sangyoon Yi

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Who Are the AI Scalers? 谁是AI标量？

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IEEE Engineering Management Review Pub Date : 2026-02-01 Epub Date: 2025-03-15 DOI: 10.1109/EMR.2025.3570622

Jacques Bughin

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An Analysis of Patent Grants Between the Years 2015 and 2023 in Conjunction With Academic Publications to Obtain Complementary Information and Build Educator Confidence in Web3 Integration 2015年至2023年专利授权分析与学术出版物相结合，以获得互补信息并建立教育者对Web3集成的信心

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IEEE Engineering Management Review Pub Date : 2026-02-01 Epub Date: 2025-06-12 DOI: 10.1109/EMR.2025.3578422

Usharani Hareesh Govindarajan;Dhiraj Kumar Singh;Weibing Zhong;Hong-Zheng Sun-Lin

{"title":"An Analysis of Patent Grants Between the Years 2015 and 2023 in Conjunction With Academic Publications to Obtain Complementary Information and Build Educator Confidence in Web3 Integration","authors":"Usharani Hareesh Govindarajan;Dhiraj Kumar Singh;Weibing Zhong;Hong-Zheng Sun-Lin","doi":"10.1109/EMR.2025.3578422","DOIUrl":"https://doi.org/10.1109/EMR.2025.3578422","url":null,"abstract":"The advent of the metaverse has sparked global interest, particularly in its potential to revolutionize various sectors, including education. This article examines the readiness of educational institutions for the transition from Web2 to Web3, focusing on the decentralized nature of the latter. It highlights the importance of analyzing both patents and academic papers to grasp the nuances of technological advancements and their implications for education. Employing a machine-learning technique known as class-based TF-IDF, the research analyzes 3317 patent grants and 4694 academic papers from 2015 to 2023. The findings reveal key technology specifications relevant to education in the Web3 era. The study adopts a four-layered approach to discuss these specifications, encompassing adaptive learning, innovative teaching methods, comprehensive evaluation, and a blend of scientific management with personalized service. The insights gained are synthesized into a proposed framework for Web3-enabled education, setting the stage for further exploration and discussion in this burgeoning field. This condensed overview serves to inform stakeholders in the education sector about the current landscape and future directions of Web3 technologies and their educational applications.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"54 1","pages":"199-217"},"PeriodicalIF":4.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148506613","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}

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Application of Gemini in Public Health Amid the Artificial Intelligence Era 人工智能时代Gemini在公共卫生领域的应用

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IEEE Engineering Management Review Pub Date : 2026-02-01 Epub Date: 2025-06-09 DOI: 10.1109/EMR.2025.3577913

Moosa Tatar;Soheila Farokhi;Arash Azizian Foumani;Emirhan Uzunlar;Ozgur M. Araz

{"title":"Application of Gemini in Public Health Amid the Artificial Intelligence Era","authors":"Moosa Tatar;Soheila Farokhi;Arash Azizian Foumani;Emirhan Uzunlar;Ozgur M. Araz","doi":"10.1109/EMR.2025.3577913","DOIUrl":"https://doi.org/10.1109/EMR.2025.3577913","url":null,"abstract":"In December 2023, Google DeepMind unveiled its large language model, Gemini, which is shown to be capable of understanding and processing multimodal information. This article explores the applications of Gemini in public health. Unlike traditional models, Gemini integrates and analyzes information through diverse modalities (text, image, video, etc.) fostering new applications. Notably, Google Gemini is presented as the first model to surpass human experts on the Massive Multitask Language Understanding benchmark, which combines multiple subjects including science, technology, engineering, and mathematics, humanities, and others to test the knowledge and problem-solving abilities of artificial intelligence models. While Gemini's capabilities are claimed to surpass established models, such as ChatGPT, offering improved accuracy, efficiency, and interdisciplinary research integration, its utilization in research is still limited. A wide range of applications, including healthcare communication and delivery, medical diagnosis and decision-making, early disease diagnosis, public health surveillance, interventions, and education, drug research, and adverse effects prevention, can benefit from Gemini's features. By extracting insights from sizable datasets and comprehending complex medical information, Gemini enables researchers and practitioners. However, responsible use with expert oversight is crucial. Overall, Gemini's capabilities offer new opportunities for improving public health research, practice, and ultimately, population health outcomes.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"54 1","pages":"21-27"},"PeriodicalIF":4.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148510595","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}

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Editorial: How to Make It Into a Peer-Reviewed Journal? Some Basic Recommendations That Can Make a Difference 社论：如何让它成为同行评议的期刊？一些可以有所作为的基本建议

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IEEE Engineering Management Review Pub Date : 2026-02-01 Epub Date: 2026-03-13 DOI: 10.1109/EMR.2026.3667248

Alexander Brem

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From Intuition to Insight: Leveraging AI to Forecast New Product Success 从直觉到洞察：利用人工智能预测新产品的成功

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IEEE Engineering Management Review Pub Date : 2026-02-01 Epub Date: 2025-04-14 DOI: 10.1109/EMR.2025.3559770

Robert g. Cooper

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A Continuous Improvement Framework to Enhance Supply Chain Efficiency in Third-Party Logistics Companies 提高第三方物流企业供应链效率的持续改进框架

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IEEE Engineering Management Review Pub Date : 2026-02-01 Epub Date: 2025-06-16 DOI: 10.1109/EMR.2025.3574105

Yesim Sireli;Aniket Naik

{"title":"A Continuous Improvement Framework to Enhance Supply Chain Efficiency in Third-Party Logistics Companies","authors":"Yesim Sireli;Aniket Naik","doi":"10.1109/EMR.2025.3574105","DOIUrl":"https://doi.org/10.1109/EMR.2025.3574105","url":null,"abstract":"The article provides a comprehensive overview of supply chain optimization techniques and their impact on business performance and efficiency. It proposes an enhancement framework for supply chain processes using Six Sigma principles. The utilized framework, called Simple Process Improvement Needed (SPIN), essentially serves as a model for optimizing supply chain operations within the process. Our approach to supply chain optimization involves systematic data analysis and performance measurement with a focus on implementing Lean tools and techniques, as well as problem-solving methods of Lean Six Sigma. This study utilizes the SPIN framework to examine the implementation and execution of continuous improvement processes in the supply chain of a Third-Party Logistics and fulfillment services company. Although the benefits of continuous improvement are widely acknowledged, there is less understanding about its specific mechanisms for driving performance. This study addresses this gap by analyzing the mediating role of supply chain integration in relation to continuous improvement's impact on performance. The results show significant improvements in supply chain efficiency, with a 10% reduction in order processing time, a 25% decrease in average delivery time, and cost savings of 5%. This article presents valuable insights for professionals seeking to optimize their supply chains through continuous improvement. This framework and optimization model provides practical guidance for implementing continuous improvement initiatives and achieving sustainable performance enhancements.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"54 1","pages":"180-198"},"PeriodicalIF":4.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148506612","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}

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Brain Rot—The 2024 Oxford English Dictionary Word of the Year: Why Should Technology Leaders Care? 大脑腐烂——2024年牛津英语词典年度词汇：为什么技术领导者应该关心？

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IEEE Engineering Management Review Pub Date : 2026-02-01 Epub Date: 2025-06-27 DOI: 10.1109/EMR.2025.3583977

Alexander Serenko

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