Alexander Brem;Sai Chiligireddy;Shari L. S. Worthington
{"title":"Editorial: Three Reasons You Must Not Use AI Tools for Peer Review","authors":"Alexander Brem;Sai Chiligireddy;Shari L. S. Worthington","doi":"10.1109/EMR.2026.3702480","DOIUrl":"https://doi.org/10.1109/EMR.2026.3702480","url":null,"abstract":"Peer review rests on three foundational commitments: confidentiality, reviewer accountability, and protection of the author's intellectual property. The widespread availability of artificial intelligence (AI) tools, such as ChatGPT, Gemini, and Claude, puts all three at risk in a single action. This editorial outlines three reasons reviewers must not use AI to generate or draft reviews. First, sharing a manuscript with any AI provider breaches the confidentiality obligations every reviewer accepts, regardless of the provider's data practices. Second, it exposes the author's ideas, data, and methods to opaque third-party systems, thereby violating the intellectual property protections they are entitled to until publication. Third, it substitutes a probabilistic output for the reviewer's own accountable judgment, placing the reviewer's reputation and integrity at risk. We describe recent cases of AI-generated reviews at a major conference and adversarial prompt injection in submitted manuscripts, and propose that IEEE itself consider building a compliant AI tool that augments reviewers on narrow, verifiable tasks without replacing their judgment or accountability. Until such a tool exists, reviewers must not use third-party AI tools for any part of the review process.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"54 3","pages":"6-8"},"PeriodicalIF":4.4,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11618882","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148559985","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}
{"title":"Some people were born to lead","authors":"","doi":"10.1109/EMR.2026.3695042","DOIUrl":"https://doi.org/10.1109/EMR.2026.3695042","url":null,"abstract":"","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"54 3","pages":"C2-C2"},"PeriodicalIF":4.4,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11618892","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148559916","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}
{"title":"The Interplay of Incentives, Electricity Price, and Demand on Transport Decarbonization: The Case of Electric Vehicles in the U.S.","authors":"","doi":"10.1109/EMR.2026.3702513","DOIUrl":"https://doi.org/10.1109/EMR.2026.3702513","url":null,"abstract":"While extant research explores the impact of electric vehicle (EV) incentives on EV market shares, less is known about how such policies and other socioeconomic factors interact that ultimately affect the goal of transportation emission reductions. The study summarized herein employed a sample of 510 state-year CO<inline-formula><tex-math>$_{2}$</tex-math></inline-formula> emissions datasets in the transportation sector spanning a decade (2010–2019) in a multiple linear regression model. Going beyond earlier studies, we find that, while a higher number of EV incentives would significantly contribute to transportation emission reductions, this effect could be dampened by population growth. In addition, we find that, while higher electricity prices may weaken the effectiveness of EV incentives, a high count of EV incentives is more effective in reducing CO<inline-formula><tex-math>$_{2}$</tex-math></inline-formula> emissions than a low count of EV incentives when the electricity price is low. This finding implies that having multiple EV incentives can be effective in reducing transportation carbon emissions even in the face of rising prices of electricity. The study also examines the effectiveness of promoting the density of charging stations and alternative fuel incentives in advancing carbon emission reductions.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"54 3","pages":"12-28"},"PeriodicalIF":4.4,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148560014","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}
{"title":"The Dark Side of Digitalization: A Visual Journey of Research Through Digital Game Addiction and Mental Health","authors":"Khaled Nawaser;Fatemeh Jafarkhani;Sayeh Khamoushi;Azin Yazdi;Hoda Mohsenifard;Behrooz Gharleghi","doi":"10.1109/EMR.2024.3462740","DOIUrl":"https://doi.org/10.1109/EMR.2024.3462740","url":null,"abstract":"The COVID-19 pandemic has led to an increased prevalence of digital gaming among children and adolescents. However, research shows that excessive gaming can result in addiction and contribute to mental health issues. This article employs a bibliometric approach to analyze 510 publications on digital game addiction and mental health from Scopus. Tools, including R, VOSviewer, and Publish or Perish, are utilized. The aim is to map knowledge, explore publication years, and identify top authors and their co-occurrence, reliable documents, institutions, subjects, research hotspots, and pioneering countries and universities. Findings reveal that the literature on digital game addiction encompasses a broad spectrum of topics and perspectives. Numerous studies examine the prevalence of addiction to digital games across different demographics and cultures. Another set of research focuses on developing and validating criteria for assessing digital game addiction within diverse demographic and cultural contexts. Some studies explore the psychological and behavioral dimensions of digital game addiction, particularly in the wake of the COVID-19 pandemic. However, a few scholars challenge the negative connotations associated with digital gaming, proposing a more balanced view that highlights its potential benefits, such as entertainment, therapeutic applications, and educational uses, especially during and after the pandemic. The article highlights Latin American countries growing role in this domain, contributing 67 articles, with Brazil leading at 31, followed by Mexico with 30, and Peru with 6 articles. Results also verified that this field of research is still expanding and factors, such as co-occurring disorders or technology addiction, may also play a role.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"54 3","pages":"146-164"},"PeriodicalIF":4.4,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148559914","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}
{"title":"Comparing the Ideation Quality of Humans With Generative Artificial Intelligence","authors":"","doi":"10.1109/EMR.2026.3702568","DOIUrl":"https://doi.org/10.1109/EMR.2026.3702568","url":null,"abstract":"Traditionally, ideating new product innovations is primarily the responsibility of marketers, engineers, and designers. However, a rapidly growing interest lies in leveraging generative artificial intelligence (AI) to brainstorm new product and service ideas. This study conducts a comparative analysis of ideas generated by human professionals and an AI system. The results of a blind expert evaluation show that AI-generated ideas score significantly higher in novelty and customer benefit, while their feasibility scores are similar to those of human ideas. Overall, AI-generated ideas comprise the majority of the top-performing ideas, while human-generated ideas scored lower than expected. The executive's emotional and cognitive reactions were measured during the evaluation to check for potential biases and showed no differences between the idea groups. These findings suggest that, under certain circumstances, companies can benefit from integrating generative AI into their traditional idea-generation processes.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"54 3","pages":"29-40"},"PeriodicalIF":4.4,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11618884","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148560012","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}