Pub Date : 2025-01-16DOI: 10.1109/EMR.2024.3510316
{"title":"Some people were born to lead","authors":"","doi":"10.1109/EMR.2024.3510316","DOIUrl":"https://doi.org/10.1109/EMR.2024.3510316","url":null,"abstract":"","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"52 5","pages":"C2-C2"},"PeriodicalIF":0.0,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10844018","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993809","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}
Pub Date : 2025-01-16DOI: 10.1109/EMR.2024.3524957
{"title":"TechRxiv: Share Your Preprint Research With the World!","authors":"","doi":"10.1109/EMR.2024.3524957","DOIUrl":"https://doi.org/10.1109/EMR.2024.3524957","url":null,"abstract":"","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"52 5","pages":"17-17"},"PeriodicalIF":0.0,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10844021","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993813","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}
Pub Date : 2025-01-16DOI: 10.1109/EMR.2024.3517546
Francesco Arcidiacono;Alessandro Ancarani;Carmela Di Mauro;Florian Schupp
This article investigates the adoption patterns of Industry 4.0 (I4.0) technologies in the automotive component sector and links I4.0 adoption to competitive strategies. Analysis of survey data concerning 288 automotive suppliers reveals that most firms currently focus on implementing real-time collection and analysis of production data (i.e., the Internet of Things, Big Data, and Artificial Intelligence), while other technologies, such as additive manufacturing and blockchain, are infrequently adopted. I4.0 adoption is associated with a simultaneous strategic emphasis on cost, quality, and delivery, thus suggesting automotive suppliers look at I4.0 as a mean to overcome performance tradeoffs. Findings also confirm that small- and medium-sized firms are less likely to adopt I4.0. Based on these results, implications for academics, managers, and policymakers are suggested.
{"title":"What Drives I4.0 Adoption? Establishing the Importance of Strategy","authors":"Francesco Arcidiacono;Alessandro Ancarani;Carmela Di Mauro;Florian Schupp","doi":"10.1109/EMR.2024.3517546","DOIUrl":"https://doi.org/10.1109/EMR.2024.3517546","url":null,"abstract":"This article investigates the adoption patterns of Industry 4.0 (I4.0) technologies in the automotive component sector and links I4.0 adoption to competitive strategies. Analysis of survey data concerning 288 automotive suppliers reveals that most firms currently focus on implementing real-time collection and analysis of production data (i.e., the Internet of Things, Big Data, and Artificial Intelligence), while other technologies, such as additive manufacturing and blockchain, are infrequently adopted. I4.0 adoption is associated with a simultaneous strategic emphasis on cost, quality, and delivery, thus suggesting automotive suppliers look at I4.0 as a mean to overcome performance tradeoffs. Findings also confirm that small- and medium-sized firms are less likely to adopt I4.0. Based on these results, implications for academics, managers, and policymakers are suggested.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"52 5","pages":"8-16"},"PeriodicalIF":0.0,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993710","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}
Pub Date : 2025-01-16DOI: 10.1109/EMR.2024.3437528
Abiodun Egbetokun;Santosh Nandi;Tariq Samad
{"title":"Editorial Celebrating Excellence: The 2023 Best Paper Award for IEEE Engineering Management Review","authors":"Abiodun Egbetokun;Santosh Nandi;Tariq Samad","doi":"10.1109/EMR.2024.3437528","DOIUrl":"https://doi.org/10.1109/EMR.2024.3437528","url":null,"abstract":"","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"52 5","pages":"6-7"},"PeriodicalIF":0.0,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10844025","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142993712","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}
Pub Date : 2025-01-13DOI: 10.1109/EMR.2025.3529247
Donato Di Donato;Giorgia Dal Pont;Loris Navoni;Stefano Massarino;Alessandro Beretta
This article proposes a practical example of the application of the emerging concept of Industrial Metaverse in the semiconductor industry, and its impact on the role of humans and sustainability in the contemporary industrial context. It argues that the use of some technologies included in the Industrial Metaverse concept is bringing humans, after being marginalized by machines during the Industrial Revolution and by computers in the subsequent digital era, back to their centrality in the industrial landscape boosting their performance. Furthermore, positive impacts on sustainability have been noted, which, however, require further numerical investigation. On the other hand, the absence of consolidated academic metrics to evaluate those relations calls for further research to fully understand the impact of the Industrial Metaverse on human resources and sustainability in a design and construction project and thereafter in operations and to develop appropriate measures to monitor its effects, through a proposed model.
{"title":"An Applicative Industrial Metaverse Experience in Semiconductor Industry","authors":"Donato Di Donato;Giorgia Dal Pont;Loris Navoni;Stefano Massarino;Alessandro Beretta","doi":"10.1109/EMR.2025.3529247","DOIUrl":"https://doi.org/10.1109/EMR.2025.3529247","url":null,"abstract":"This article proposes a practical example of the application of the emerging concept of Industrial Metaverse in the semiconductor industry, and its impact on the role of humans and sustainability in the contemporary industrial context. It argues that the use of some technologies included in the Industrial Metaverse concept is bringing humans, after being marginalized by machines during the Industrial Revolution and by computers in the subsequent digital era, back to their centrality in the industrial landscape boosting their performance. Furthermore, positive impacts on sustainability have been noted, which, however, require further numerical investigation. On the other hand, the absence of consolidated academic metrics to evaluate those relations calls for further research to fully understand the impact of the Industrial Metaverse on human resources and sustainability in a design and construction project and thereafter in operations and to develop appropriate measures to monitor its effects, through a proposed model.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"53 3","pages":"144-159"},"PeriodicalIF":0.0,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144299371","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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