最先进的众包系统:使用文本分析方法的计算文献综述和未来研究议程

IF 8.2 2区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Information & Management Pub Date : 2025-01-01 DOI:10.1016/j.im.2025.104098
Indika Dissanayake , Sridhar P. Nerur , Roman Lukyanenko , Minoo Modaresnezhad
{"title":"最先进的众包系统:使用文本分析方法的计算文献综述和未来研究议程","authors":"Indika Dissanayake ,&nbsp;Sridhar P. Nerur ,&nbsp;Roman Lukyanenko ,&nbsp;Minoo Modaresnezhad","doi":"10.1016/j.im.2025.104098","DOIUrl":null,"url":null,"abstract":"<div><div>Crowdsourcing effectively harnesses diverse skills and perspectives of crowds beyond organizational, geographical, and cultural boundaries. Organizations are gaining invaluable insights through crowdsourcing across diverse domains. This study reviews the growing academic literature on crowdsourcing using advanced topic modeling, an approach to unraveling key themes latent in the literature. Following a systems approach, we adopted inter- and intra-systems perspectives to identify distinct crowdsourcing models and their interrelated components based on a text analysis of the crowdsourcing literature. The paper elucidates the intellectual foundations of crowdsourcing as represented in the literature and offers suggestions for pursuing research that will extend its conceptual boundaries.</div></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"62 2","pages":"Article 104098"},"PeriodicalIF":8.2000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The state-of-the-art of crowdsourcing systems: A computational literature review and future research agenda using a text analytics approach\",\"authors\":\"Indika Dissanayake ,&nbsp;Sridhar P. Nerur ,&nbsp;Roman Lukyanenko ,&nbsp;Minoo Modaresnezhad\",\"doi\":\"10.1016/j.im.2025.104098\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Crowdsourcing effectively harnesses diverse skills and perspectives of crowds beyond organizational, geographical, and cultural boundaries. Organizations are gaining invaluable insights through crowdsourcing across diverse domains. This study reviews the growing academic literature on crowdsourcing using advanced topic modeling, an approach to unraveling key themes latent in the literature. Following a systems approach, we adopted inter- and intra-systems perspectives to identify distinct crowdsourcing models and their interrelated components based on a text analysis of the crowdsourcing literature. The paper elucidates the intellectual foundations of crowdsourcing as represented in the literature and offers suggestions for pursuing research that will extend its conceptual boundaries.</div></div>\",\"PeriodicalId\":56291,\"journal\":{\"name\":\"Information & Management\",\"volume\":\"62 2\",\"pages\":\"Article 104098\"},\"PeriodicalIF\":8.2000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Information & Management\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0378720625000011\",\"RegionNum\":2,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information & Management","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378720625000011","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

摘要

众包有效地利用了组织、地理和文化边界之外人群的不同技能和观点。组织正在通过跨不同领域的众包获得宝贵的见解。本研究回顾了越来越多的关于使用高级主题建模的众包学术文献,这是一种揭示文献中潜在关键主题的方法。基于对众包文献的文本分析,我们采用系统方法,采用系统间和系统内视角来识别不同的众包模型及其相互关联的组成部分。本文阐明了文献中所代表的众包的知识基础,并为追求扩展其概念边界的研究提供了建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
The state-of-the-art of crowdsourcing systems: A computational literature review and future research agenda using a text analytics approach
Crowdsourcing effectively harnesses diverse skills and perspectives of crowds beyond organizational, geographical, and cultural boundaries. Organizations are gaining invaluable insights through crowdsourcing across diverse domains. This study reviews the growing academic literature on crowdsourcing using advanced topic modeling, an approach to unraveling key themes latent in the literature. Following a systems approach, we adopted inter- and intra-systems perspectives to identify distinct crowdsourcing models and their interrelated components based on a text analysis of the crowdsourcing literature. The paper elucidates the intellectual foundations of crowdsourcing as represented in the literature and offers suggestions for pursuing research that will extend its conceptual boundaries.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Information & Management
Information & Management 工程技术-计算机:信息系统
CiteScore
17.90
自引率
6.10%
发文量
123
审稿时长
1 months
期刊介绍: Information & Management is a publication that caters to researchers in the field of information systems as well as managers, professionals, administrators, and senior executives involved in designing, implementing, and managing Information Systems Applications.
期刊最新文献
Editorial Board An integrated model of ambivalence and deterrence of bystander inaction in delegitimizing doxing The nexus of mindfulness, affect, and information processing in phishing identification: An empirical examination Artificial scarcity design heuristics for digital collecting: Evidence from the non-fungible token market The dark side of crowdsourcing of complex tasks: A systematic literature review
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1