Pub Date : 2024-11-21DOI: 10.1109/EMR.2024.3501579
Leon Rasztar;Robert Rose;Jens Neuhüttler
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.
{"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}
Pub Date : 2024-11-06DOI: 10.1109/EMR.2024.3491302
Karam Bharat Singh;Subhas Chandra Misra
This article addresses the birth of manufacturing integrated circuits (ICs) to the current high technological advancements in their fabrication process. ICs are used in various modern electronic gadgets. Moreover, research shows that manufacturing uses high-tech machines and costs around USD 10 billion over five years to set up a semiconductor fabrication plant. The demand for these tiny chips on the market is exceptionally high due to their various applications. However, the shortage of ICs in the current market is real, especially in the automotive industry. Consequently, this article provides an overview of how the manufacturing of ICs was started in the past, investigates the state-of-the-art manufacturing process, and suggests how the current automotive chip shortage of chips can be overcome in the coming year. The study can assist stakeholders, including global semiconductor companies, academic researchers, and policymakers, in planning an effective strategy for their businesses.
{"title":"Manufacturing of Semiconductor Chips: From Their Origins to the Current Automotive Chip Crisis","authors":"Karam Bharat Singh;Subhas Chandra Misra","doi":"10.1109/EMR.2024.3491302","DOIUrl":"https://doi.org/10.1109/EMR.2024.3491302","url":null,"abstract":"This article addresses the birth of manufacturing integrated circuits (ICs) to the current high technological advancements in their fabrication process. ICs are used in various modern electronic gadgets. Moreover, research shows that manufacturing uses high-tech machines and costs around USD 10 billion over five years to set up a semiconductor fabrication plant. The demand for these tiny chips on the market is exceptionally high due to their various applications. However, the shortage of ICs in the current market is real, especially in the automotive industry. Consequently, this article provides an overview of how the manufacturing of ICs was started in the past, investigates the state-of-the-art manufacturing process, and suggests how the current automotive chip shortage of chips can be overcome in the coming year. The study can assist stakeholders, including global semiconductor companies, academic researchers, and policymakers, in planning an effective strategy for their businesses.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"53 5","pages":"260-273"},"PeriodicalIF":0.0,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145335329","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 : 2024-10-09DOI: 10.1109/EMR.2024.3430053
Yifeng Chen;Chander Velu;Duncan McFarlane
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.
{"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}
Pub Date : 2024-10-07DOI: 10.1109/EMR.2024.3475408
Praveen Gujar;Sriram Panyam;Gunjan Paliwal
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.
{"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}
Pub Date : 2024-09-06DOI: 10.1109/EMR.2024.3453974
Katarina Kostelić;Darko Etinger
As an emergent virtual shared environment, the metaverse offers a novel approach to digital communication. However, its rapid expansion and development raise complex cybersecurity challenges. To address this issue, the goal of this article is to map the scholarly contributions of cybersecurity within the metaverse through a comprehensive bibliometric analysis and examine trends, gaps, and future research directions. Following the PRISMA guidelines, a broad range of documents is included in the analysis, and a bibliometric software package was used for science mapping. The results reveal a significant increase in publications and citations in recent years, with contributors from across the globe. The analysis of keywords and abstracts reveals core themes and the citation analysis identifies the most prominent sources and articles. The thematic analysis identifies the existing and emerging areas of research that remain to be explored in future studies.
{"title":"Securing the Metaverse: A Bibliometric Analysis of Cybersecurity Challenges and Research Trajectories","authors":"Katarina Kostelić;Darko Etinger","doi":"10.1109/EMR.2024.3453974","DOIUrl":"https://doi.org/10.1109/EMR.2024.3453974","url":null,"abstract":"As an emergent virtual shared environment, the metaverse offers a novel approach to digital communication. However, its rapid expansion and development raise complex cybersecurity challenges. To address this issue, the goal of this article is to map the scholarly contributions of cybersecurity within the metaverse through a comprehensive bibliometric analysis and examine trends, gaps, and future research directions. Following the PRISMA guidelines, a broad range of documents is included in the analysis, and a bibliometric software package was used for science mapping. The results reveal a significant increase in publications and citations in recent years, with contributors from across the globe. The analysis of keywords and abstracts reveals core themes and the citation analysis identifies the most prominent sources and articles. The thematic analysis identifies the existing and emerging areas of research that remain to be explored in future studies.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"53 3","pages":"93-109"},"PeriodicalIF":0.0,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10669015","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144299423","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 : 2024-09-02DOI: 10.1109/EMR.2024.3452682
Himanshu Kubba
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.
{"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}
Pub Date : 2024-09-02DOI: 10.1109/EMR.2024.3453554
Alok Raj;Rajeev Ranjan Kumar
This study examines the factors affecting electric vehicle (EV) adoption among Indian consumers, focusing on purchase price, annual savings, and consumer heterogeneity considering age and marital status. Using an ordered probit model on data from over 700 respondents, the result shows that willingness to buy EVs increases with decrease in purchase prices and increase in annual savings. The result also highlights that risk-averse individuals are less likely to adopt EVs, while younger and married consumers are more inclined. These insights can be valuable for policymakers and marketers promoting sustainable transportation.
{"title":"Understanding and Enhancing Electric Vehicle Adoption in India: A Practice-Oriented Approach","authors":"Alok Raj;Rajeev Ranjan Kumar","doi":"10.1109/EMR.2024.3453554","DOIUrl":"https://doi.org/10.1109/EMR.2024.3453554","url":null,"abstract":"This study examines the factors affecting electric vehicle (EV) adoption among Indian consumers, focusing on purchase price, annual savings, and consumer heterogeneity considering age and marital status. Using an ordered probit model on data from over 700 respondents, the result shows that willingness to buy EVs increases with decrease in purchase prices and increase in annual savings. The result also highlights that risk-averse individuals are less likely to adopt EVs, while younger and married consumers are more inclined. These insights can be valuable for policymakers and marketers promoting sustainable transportation.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"52 6","pages":"19-22"},"PeriodicalIF":0.0,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143455286","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 : 2024-08-19DOI: 10.1109/EMR.2024.3443240
El Yadari Manal;Jawab Fouad;Moufad Imane
This article aims to describe the phenomenon of logistics sprawl and its impact on freight transport activity. We explore its dimensions, drivers, and consequences through an exhaustive literature review following the PRISMA guidelines. Our analysis reveals that logistics sprawl is mainly driven by economic and organizational factors. Then, we confirm its impact on urban freight transport activity as it leads to increasing traveled distances and environmental emissions, particularly CO2 emissions. This article contributes to the existing literature by providing a comprehensive structure and analysis of the logistics sprawl phenomenon. We have synthesized the primary research results and provided a systematic classification of logistics sprawl drivers and consequences, which was previously absent in the literature.
{"title":"Logistics Sprawl: A Systematic Literature Review","authors":"El Yadari Manal;Jawab Fouad;Moufad Imane","doi":"10.1109/EMR.2024.3443240","DOIUrl":"https://doi.org/10.1109/EMR.2024.3443240","url":null,"abstract":"This article aims to describe the phenomenon of logistics sprawl and its impact on freight transport activity. We explore its dimensions, drivers, and consequences through an exhaustive literature review following the PRISMA guidelines. Our analysis reveals that logistics sprawl is mainly driven by economic and organizational factors. Then, we confirm its impact on urban freight transport activity as it leads to increasing traveled distances and environmental emissions, particularly CO2 emissions. This article contributes to the existing literature by providing a comprehensive structure and analysis of the logistics sprawl phenomenon. We have synthesized the primary research results and provided a systematic classification of logistics sprawl drivers and consequences, which was previously absent in the literature.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"53 1","pages":"82-99"},"PeriodicalIF":0.0,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143845506","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 : 2024-08-02DOI: 10.1109/EMR.2024.3437655
Hanan Almessabi;Mousa Al-kfairy
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.
{"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}
Pub Date : 2024-07-12DOI: 10.1109/EMR.2024.3426228
Robert G Cooper
As the creator of Stage-Gate, I often hear it incorrectly referred to as a linear process like Waterfall, commonly used in software development. This is a misconception. This article outlines the current versions of Stage-Gate, Waterfall, and a similar process, Phase-Review, along with data on the popularity of each. Agile for physical products and lean development are also discussed. To ensure objectivity, artificial intelligence was used to compare Waterfall to Stage-Gate.
{"title":"Stage-Gate Is Not Waterfall… Find Out Why and How","authors":"Robert G Cooper","doi":"10.1109/EMR.2024.3426228","DOIUrl":"https://doi.org/10.1109/EMR.2024.3426228","url":null,"abstract":"As the creator of Stage-Gate, I often hear it incorrectly referred to as a linear process like Waterfall, commonly used in software development. This is a misconception. This article outlines the current versions of Stage-Gate, Waterfall, and a similar process, Phase-Review, along with data on the popularity of each. Agile for physical products and lean development are also discussed. To ensure objectivity, artificial intelligence was used to compare Waterfall to Stage-Gate.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"53 1","pages":"100-105"},"PeriodicalIF":0.0,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143845453","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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