IEEE Engineering Management Review最新文献_第6页

Editorial Engineering Management in Times of Bad News – Stay Positive! 坏消息时代的编辑工程管理-保持积极！

IEEE Engineering Management Review Pub Date : 2024-12-03 DOI: 10.1109/EMR.2024.3463049

Alexander Brem

引用次数: 0

Exploring the Impact of the Industrial Metaverse: A Delphi-Based Scenario Approach 探索工业元宇宙的影响：基于delphi的场景方法

IEEE Engineering Management Review Pub Date : 2024-11-21 DOI: 10.1109/EMR.2024.3501579

Leon Rasztar;Robert Rose;Jens Neuhüttler

{"title":"Exploring the Impact of the Industrial Metaverse: A Delphi-Based Scenario Approach","authors":"Leon Rasztar;Robert Rose;Jens Neuhüttler","doi":"10.1109/EMR.2024.3501579","DOIUrl":"https://doi.org/10.1109/EMR.2024.3501579","url":null,"abstract":"The diffusion of the much-anticipated metaverse seems to have stalled. However, the industrial metaverse, aimed at facilitating human–machine interaction and streamlining operational processes, is credited with transformative potential. Due to a fragmented and contested information landscape regarding the industrial metaverse, the future of this technology in business practice remains uncertain. In our study, we contribute to this debate by addressing the question of how the industrial metaverse will shape the operations of companies in the mid-term future. We developed 20 projections on the future of the industrial metaverse based on the current literature, and employed a Delphi approach using input from 33 selected experts to form a scenario for the industrial metaverse in the year 2033. We uncover realistic potentials and challenges that need to be addressed to make the industrial metaverse a reality. Accordingly, the industrial metaverse in 2033 is still not fully developed, which causes a divide between companies that already are using the industrial metaverse and companies that have not yet implemented it. In perspective, our findings provide insight into what needs to be considered for proactive industrial metaverse strategies.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"53 3","pages":"8-28"},"PeriodicalIF":0.0,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10759762","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144299072","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

Robot Adoption and Profitability: The Opportunities and Challenges Ahead 机器人的采用和盈利能力：未来的机遇和挑战

IEEE Engineering Management Review Pub Date : 2024-10-09 DOI: 10.1109/EMR.2024.3430053

Yifeng Chen;Chander Velu;Duncan McFarlane

{"title":"Robot Adoption and Profitability: The Opportunities and Challenges Ahead","authors":"Yifeng Chen;Chander Velu;Duncan McFarlane","doi":"10.1109/EMR.2024.3430053","DOIUrl":"https://doi.org/10.1109/EMR.2024.3430053","url":null,"abstract":"We find a U-shaped relationship between the adoption of industrial robots and profit margins. We attribute this finding to firms initially using robots for process innovation before applying the technology to product innovation, corresponding to a strategy of cost leadership and market differentiation, respectively. With recent advancements in artificial intelligence (AI), newer generations of AI-enabled robots are increasingly capable of undertaking unstructured tasks, better at coordinating with humans and with each other. These robots confer greater operational flexibility that also first reduces costs through process innovation before beginning to promote product innovation via more sophisticated customization. However, we anticipate that this trend will result in a more compressed U-shaped relationship. This is because AI-enabled robots’ replacement of tasks with greater cognitive content will free up human efforts to engage in creativity-oriented tasks that might usher in product innovation sooner and thus shorten the transition from cost leadership to market differentiation. Firms can greatly benefit from making adequate preparations for this trend with a renewed sense of urgency, training their workers and managers in digital and business-related skills in order to maintain superior profitability.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"52 6","pages":"8-14"},"PeriodicalIF":0.0,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143455303","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

AI Integrated Product Development: Building Sustainable Competitive Advantage 人工智能集成产品开发：构建可持续竞争优势

IEEE Engineering Management Review Pub Date : 2024-10-07 DOI: 10.1109/EMR.2024.3475408

Praveen Gujar;Sriram Panyam;Gunjan Paliwal

{"title":"AI Integrated Product Development: Building Sustainable Competitive Advantage","authors":"Praveen Gujar;Sriram Panyam;Gunjan Paliwal","doi":"10.1109/EMR.2024.3475408","DOIUrl":"https://doi.org/10.1109/EMR.2024.3475408","url":null,"abstract":"Artificial intelligence (AI) has long influenced modern life, extending beyond well-known applications such as ChatGPT to essential roles in digital advertising,personalized recommendations, and autonomous vehicles. While the latest popularity of Generative AI is leading to superficial product enhancements, true competitive advantage arises from deeply embedding AI into products and core business functions. This article examines the evolution of AI-powered products, drawing parallels with the smartphone revolution. Just as smartphones transitioned from novelty items to indispensable tools, AI integration will likely progress through phases: enhancing existing experiences, creating AI-first novelty products, and developing AI-integrated value-added solutions. Successful AI integration starts with substantial investment in talent, data infrastructure, and strategic vision. By focusing on deep AI integration, businesses can create sustainable competitive moats and enduring value, transforming industries and enhancing user experiences. Through case examples and historical insights, this article provides a roadmap for leveraging AI to build innovative, impactful products, and build sustainable business.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"53 1","pages":"73-81"},"PeriodicalIF":0.0,"publicationDate":"2024-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143845575","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

Securing the Metaverse: A Bibliometric Analysis of Cybersecurity Challenges and Research Trajectories 保护虚拟世界：网络安全挑战和研究轨迹的文献计量学分析

IEEE Engineering Management Review Pub Date : 2024-09-06 DOI: 10.1109/EMR.2024.3453974

Katarina Kostelić;Darko Etinger

引用次数: 0

Data Conversion in ERP SaaS Implementation With Generative AI 基于生成式AI的ERP SaaS实施中的数据转换

IEEE Engineering Management Review Pub Date : 2024-09-02 DOI: 10.1109/EMR.2024.3452682

Himanshu Kubba

{"title":"Data Conversion in ERP SaaS Implementation With Generative AI","authors":"Himanshu Kubba","doi":"10.1109/EMR.2024.3452682","DOIUrl":"https://doi.org/10.1109/EMR.2024.3452682","url":null,"abstract":"Enterprise resource planning (ERP) implementation necessitates efficient data conversion, traditionally characterized by labor-intensive tasks, such as validation checks, field mapping, and transformations. While effective, these methods are time-consuming and costly. With the advent of generative artificial intelligence (Gen AI), data conversion has been revolutionized, significantly reducing manual intervention. Traditional methods, often labor-intensive and costly, are replaced by automated Gen AI solutions. This innovation not only reduces technical effort and business involvement but also accelerates project timelines and lowers costs. This article explores the implementation of a Gen AI-driven solution that automates data extraction, validation, and mapping, enhancing accuracy and efficiency. Utilizing advanced technologies, such as SQL, Python pandas, and PyTorch, this approach reimagines the workflow, enabling faster and more reliable ERP implementations with minimal disruption. By harnessing the power of machine learning and neural networks, the system evolves continuously, offering a scalable and robust solution for modern enterprises navigating the complexities of digital transformation. The adoption of Gen AI in data conversion thus represents a pivotal advancement, enabling faster, more reliable ERP implementations, and fostering greater operational resilience and adaptability.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"52 6","pages":"15-18"},"PeriodicalIF":0.0,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143455268","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

Understanding and Enhancing Electric Vehicle Adoption in India: A Practice-Oriented Approach 理解和提高电动汽车在印度的采用：一个以实践为导向的方法

IEEE Engineering Management Review Pub Date : 2024-09-02 DOI: 10.1109/EMR.2024.3453554

Alok Raj;Rajeev Ranjan Kumar

引用次数: 0

Logistics Sprawl: A Systematic Literature Review 物流蔓延：一个系统的文献综述

IEEE Engineering Management Review Pub Date : 2024-08-19 DOI: 10.1109/EMR.2024.3443240

El Yadari Manal;Jawab Fouad;Moufad Imane

引用次数: 0

Unlocking the Future of Farming: A Review of Metaverse Integration in Agriculture 开启农业的未来：农业中的元宇宙整合综述

IEEE Engineering Management Review Pub Date : 2024-08-02 DOI: 10.1109/EMR.2024.3437655

Hanan Almessabi;Mousa Al-kfairy

{"title":"Unlocking the Future of Farming: A Review of Metaverse Integration in Agriculture","authors":"Hanan Almessabi;Mousa Al-kfairy","doi":"10.1109/EMR.2024.3437655","DOIUrl":"https://doi.org/10.1109/EMR.2024.3437655","url":null,"abstract":"This article reviews 51 scholarly articles to explore integrating metaverse technologies within agriculture. Key findings reveal that the metaverse can enhance precision farming by enabling real-time monitoring of soil conditions and crop health and optimizing inputs such as water, fertilizers, and pesticides. In addition, it facilitates immersive training and educational experiences for farmers, promoting advanced skills and knowledge without physical constraints. Simulating various farming scenarios under different climatic and soil conditions improves preparedness and resilience against climate change. However, the review highlights several challenges to adopting metaverse technologies in agriculture, including technological, economic, and sociocultural barriers such as the digital divide, significant infrastructural investments, and potential resistance from traditional farming sectors. Data privacy and security issues, interoperability among diverse systems, and high deployment costs present further obstacles. The study evaluates the agricultural sector's readiness to integrate advanced technologies like the metaverse, considering existing infrastructure, the availability of technical expertise, and the community's openness to technological innovations. The insights gained provide valuable guidance for policymakers and stakeholders to strategically plan and facilitate the adoption of metaverse technologies, aiming for a sustainable and efficient future in agriculture.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"53 3","pages":"128-143"},"PeriodicalIF":0.0,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144299253","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

Stage-Gate Is Not Waterfall… Find Out Why and How 舞台门不是瀑布，找出原因和方式

IEEE Engineering Management Review Pub Date : 2024-07-12 DOI: 10.1109/EMR.2024.3426228

Robert G Cooper

引用次数: 0