Pub Date : 2025-04-17DOI: 10.1109/EMR.2024.3437997
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Pub Date : 2025-03-19DOI: 10.1109/EMR.2025.3565995
Gabriel Tailleur;Morgane Ramis
The metaverse has gained popularity in recent years but remains technically nascent. Theoretical literature highlights the key role of artificial intelligence (AI) in metaverse development, as AI is expected to bolster the creator economy, a key pillar of these platforms’ success. However, no empirical work confirms this expectation yet. To address this gap, we constructed two proxies—protometaverses and traditional video games—to isolate financial transactions specific to the metaverse toward AI from general trends in the gaming sector. We present empirical evidence from Crunchbase data on acquisitions and investments, confirming AIs role as a catalyst for metaverse development. Our analysis reveals that protometaverses are more likely than traditional video games to invest in and acquire AI startups controlling for several factors. In addition, we examine the specific types of AI targeted in these financial transactions and integrate the findings into a theoretical framework that highlights the structural specificities of AI applications in metaverses, distinguishing them from those in traditional video games. Finally, the results give credit to protometaverses as a relevant proxy for metaverse evolution, with a replicable categorization. This article contributes an empirical foundation to the theoretical literature on the subject, explaining it through an analytical framework that connects the economics of innovation and network effects. Moreover, we highlight specific implications for practitioners and policymakers in the metaverse industry.
{"title":"Metaverse and AI Diffusion: An Empirical Assessment From a Financial Perspective","authors":"Gabriel Tailleur;Morgane Ramis","doi":"10.1109/EMR.2025.3565995","DOIUrl":"https://doi.org/10.1109/EMR.2025.3565995","url":null,"abstract":"The metaverse has gained popularity in recent years but remains technically nascent. Theoretical literature highlights the key role of artificial intelligence (AI) in metaverse development, as AI is expected to bolster the creator economy, a key pillar of these platforms’ success. However, no empirical work confirms this expectation yet. To address this gap, we constructed two proxies—protometaverses and traditional video games—to isolate financial transactions specific to the metaverse toward AI from general trends in the gaming sector. We present empirical evidence from Crunchbase data on acquisitions and investments, confirming AIs role as a catalyst for metaverse development. Our analysis reveals that protometaverses are more likely than traditional video games to invest in and acquire AI startups controlling for several factors. In addition, we examine the specific types of AI targeted in these financial transactions and integrate the findings into a theoretical framework that highlights the structural specificities of AI applications in metaverses, distinguishing them from those in traditional video games. Finally, the results give credit to protometaverses as a relevant proxy for metaverse evolution, with a replicable categorization. This article contributes an empirical foundation to the theoretical literature on the subject, explaining it through an analytical framework that connects the economics of innovation and network effects. Moreover, we highlight specific implications for practitioners and policymakers in the metaverse industry.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"53 3","pages":"55-70"},"PeriodicalIF":0.0,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144299076","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 : 2025-03-12DOI: 10.1109/EMR.2025.3550468
Sai Chiligireddy
The need for technical expertise in engineering manager (EM) roles has been debated for a long time in the industry and literature. While foundational theories assert the importance of technical skills for managerial success (Kotnour and Farr, 2005; Katz, 2024; Babcock and Morse, 2002), recent studies (Kalliamvakou et al. 2019; Garvin et al., 2013) have ranked technical competency as less important compared to other managerial skills. Moreover, trends indicate a shift toward a reduced focus on technical competencies among technology leaders, with 87% of CEOs prioritizing business operations and innovation over deep technical expertise for technical leaders (Deloitte Insights, 2024). This article highlights the substantial benefits of technical expertise in EM roles, particularly given the industry's pivot towards leaner organizational models (Bulgarella, 2024; Jackson, 2024) that advocate for fewer management layers and greater efficiency. It explores how EMs at different career levels can leverage technical expertise to make informed decisions and lead effectively in these environments. In addition, it sheds light on how tech companies evaluate technical competencies during EM interviews.
工程经理（EM）角色对技术专长的需求在业界和文献中已经争论了很长时间。虽然基础理论主张技术技能对管理成功的重要性（Kotnour and Farr, 2005; Katz, 2024; Babcock and Morse, 2002），但最近的研究（Kalliamvakou et al. 2019; Garvin et al., 2013）将技术能力列为与其他管理技能相比不那么重要的技能。此外，趋势表明，技术领导者对技术能力的关注正在减少，87%的首席执行官优先考虑业务运营和创新，而不是技术领导者的深厚技术专业知识（Deloitte Insights, 2024）。本文强调了技术专长在新兴市场角色中的巨大好处，特别是考虑到行业转向更精简的组织模型（Bulgarella, 2024; Jackson, 2024），提倡更少的管理层和更高的效率。它探讨了不同职业水平的新兴市场如何利用技术专长做出明智的决策，并在这些环境中有效地领导。此外，它还揭示了科技公司如何在面试中评估技术能力。
{"title":"The Importance of Technical Competencies in the Engineering Manager Role and How Companies Evaluate Them in Interviews","authors":"Sai Chiligireddy","doi":"10.1109/EMR.2025.3550468","DOIUrl":"https://doi.org/10.1109/EMR.2025.3550468","url":null,"abstract":"The need for technical expertise in engineering manager (EM) roles has been debated for a long time in the industry and literature. While foundational theories assert the importance of technical skills for managerial success (Kotnour and Farr, 2005; Katz, 2024; Babcock and Morse, 2002), recent studies (Kalliamvakou et al. 2019; Garvin et al., 2013) have ranked technical competency as less important compared to other managerial skills. Moreover, trends indicate a shift toward a reduced focus on technical competencies among technology leaders, with 87% of CEOs prioritizing business operations and innovation over deep technical expertise for technical leaders (Deloitte Insights, 2024). This article highlights the substantial benefits of technical expertise in EM roles, particularly given the industry's pivot towards leaner organizational models (Bulgarella, 2024; Jackson, 2024) that advocate for fewer management layers and greater efficiency. It explores how EMs at different career levels can leverage technical expertise to make informed decisions and lead effectively in these environments. In addition, it sheds light on how tech companies evaluate technical competencies during EM interviews.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"53 6","pages":"40-46"},"PeriodicalIF":0.0,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145760922","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 : 2025-03-08DOI: 10.1109/EMR.2025.3563709
Alexander Brem
{"title":"Editorial: Do We Still Need Printed Books and Magazines? The Enduring Value of Print in a Digital Age","authors":"Alexander Brem","doi":"10.1109/EMR.2025.3563709","DOIUrl":"https://doi.org/10.1109/EMR.2025.3563709","url":null,"abstract":"","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"53 2","pages":"6-7"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10994233","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143925085","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 : 2025-03-08DOI: 10.1109/EMR.2025.3567419
{"title":"Share Your Preprint Research with the World!","authors":"","doi":"10.1109/EMR.2025.3567419","DOIUrl":"https://doi.org/10.1109/EMR.2025.3567419","url":null,"abstract":"","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"53 2","pages":"134-134"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10994235","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143925082","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}
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