{"title":"Emerging leaders or persistent gaps? Generative AI research may foster women in STEM","authors":"Prema Nedungadi , Maneesha Ramesh , Venu Govindaraju , Bhavani Rao , Paola Berbeglia , Raghu Raman","doi":"10.1016/j.ijinfomgt.2024.102785","DOIUrl":null,"url":null,"abstract":"<div><p>The primary aim of this study is to explore the gender dynamics within Generative AI (GAI) research through an analysis of 5092 publications post the inception of ChatGPT in November 2022. This investigation seeks to comprehend how gender distribution varies across different research areas and geographical locations in GAI, assess thematic differences in contributions by male and female authors, identify areas of significant female activity, evaluate the impact of policies on gender dynamics, devise strategies to enhance gender diversity and explore how GAI research can propel women's advancement in STEM. The study reveals a dual narrative: a promising rise in female leadership within highly cited GAI research papers, juxtaposed with ongoing gender disparities in single-authored works and primary authorship positions. These findings underscore the unique position of GAI as distinct from traditional STEM fields, owing to its integration of technology with societal demands and its potential to foster increased female participation in STEM through its interdisciplinary approach and societal impact. By aligning with Sustainable Development Goal 5, this research champions inclusive development practices and policy reforms aimed at bolstering gender diversity and inclusivity within GAI research. The insights derived from addressing the research questions show how GAI can make STEM fields more inclusive, diverse, and attuned to societal needs, thereby maximizing the value of female researchers' contributions.</p></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":null,"pages":null},"PeriodicalIF":20.1000,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Information Management","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0268401224000331","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
The primary aim of this study is to explore the gender dynamics within Generative AI (GAI) research through an analysis of 5092 publications post the inception of ChatGPT in November 2022. This investigation seeks to comprehend how gender distribution varies across different research areas and geographical locations in GAI, assess thematic differences in contributions by male and female authors, identify areas of significant female activity, evaluate the impact of policies on gender dynamics, devise strategies to enhance gender diversity and explore how GAI research can propel women's advancement in STEM. The study reveals a dual narrative: a promising rise in female leadership within highly cited GAI research papers, juxtaposed with ongoing gender disparities in single-authored works and primary authorship positions. These findings underscore the unique position of GAI as distinct from traditional STEM fields, owing to its integration of technology with societal demands and its potential to foster increased female participation in STEM through its interdisciplinary approach and societal impact. By aligning with Sustainable Development Goal 5, this research champions inclusive development practices and policy reforms aimed at bolstering gender diversity and inclusivity within GAI research. The insights derived from addressing the research questions show how GAI can make STEM fields more inclusive, diverse, and attuned to societal needs, thereby maximizing the value of female researchers' contributions.
期刊介绍:
The International Journal of Information Management (IJIM) is a distinguished, international, and peer-reviewed journal dedicated to providing its readers with top-notch analysis and discussions within the evolving field of information management. Key features of the journal include:
Comprehensive Coverage:
IJIM keeps readers informed with major papers, reports, and reviews.
Topical Relevance:
The journal remains current and relevant through Viewpoint articles and regular features like Research Notes, Case Studies, and a Reviews section, ensuring readers are updated on contemporary issues.
Focus on Quality:
IJIM prioritizes high-quality papers that address contemporary issues in information management.