共享经济中人工智能的系统文献综述

Ying Chen, C. Prentice, Scott Weaven, Aaron Hsiao
{"title":"共享经济中人工智能的系统文献综述","authors":"Ying Chen, C. Prentice, Scott Weaven, Aaron Hsiao","doi":"10.1080/21639159.2020.1808850","DOIUrl":null,"url":null,"abstract":"ABSTRACT Although artificial intelligence (AI) has been adopted in sharing economy platforms, few studies have investigated this phenomenon in this context. Consequently, there is no thorough overview of how AI has been used in the sharing economy. To address this research gap, a systematic literature review was performed for this paper. This method can be useful for the exploration of new and emerging trends within disciplines and allows boundaries to be mapped on what is known thereby identifying gaps on what is yet to be known. After screening, 28 English journal articles were selected in a qualitative synthesis. Results show AI can help the sharing economy platforms by enhancing trust, matching assets, and understanding participants’ preferences and attitudes. Based on these findings, potential directions are established. The current study will contribute to both the sharing economy and AI literature, and the results may help practitioners and academia to achieve a greater understanding of this topic.","PeriodicalId":45711,"journal":{"name":"Journal of Global Scholars of Marketing Science","volume":"32 1","pages":"434 - 451"},"PeriodicalIF":1.9000,"publicationDate":"2021-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/21639159.2020.1808850","citationCount":"15","resultStr":"{\"title\":\"A systematic literature review of AI in the sharing economy\",\"authors\":\"Ying Chen, C. Prentice, Scott Weaven, Aaron Hsiao\",\"doi\":\"10.1080/21639159.2020.1808850\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT Although artificial intelligence (AI) has been adopted in sharing economy platforms, few studies have investigated this phenomenon in this context. Consequently, there is no thorough overview of how AI has been used in the sharing economy. To address this research gap, a systematic literature review was performed for this paper. This method can be useful for the exploration of new and emerging trends within disciplines and allows boundaries to be mapped on what is known thereby identifying gaps on what is yet to be known. After screening, 28 English journal articles were selected in a qualitative synthesis. Results show AI can help the sharing economy platforms by enhancing trust, matching assets, and understanding participants’ preferences and attitudes. Based on these findings, potential directions are established. The current study will contribute to both the sharing economy and AI literature, and the results may help practitioners and academia to achieve a greater understanding of this topic.\",\"PeriodicalId\":45711,\"journal\":{\"name\":\"Journal of Global Scholars of Marketing Science\",\"volume\":\"32 1\",\"pages\":\"434 - 451\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2021-02-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1080/21639159.2020.1808850\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Global Scholars of Marketing Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/21639159.2020.1808850\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Global Scholars of Marketing Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/21639159.2020.1808850","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 15

摘要

虽然共享经济平台已经采用了人工智能(AI),但很少有研究在这一背景下调查这一现象。因此,对于人工智能在共享经济中的应用情况,并没有一个全面的概述。为了解决这一研究空白,本文进行了系统的文献综述。这种方法可以用于探索学科内新的和正在出现的趋势,并允许在已知的基础上绘制边界,从而确定尚未知道的差距。筛选后,选取28篇英文期刊文章进行定性综合。结果表明,人工智能可以通过增强信任、匹配资产、了解参与者的偏好和态度来帮助共享经济平台。根据这些发现,确定了潜在的发展方向。目前的研究将为共享经济和人工智能文献做出贡献,其结果可能有助于从业者和学术界更好地理解这一主题。
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
A systematic literature review of AI in the sharing economy
ABSTRACT Although artificial intelligence (AI) has been adopted in sharing economy platforms, few studies have investigated this phenomenon in this context. Consequently, there is no thorough overview of how AI has been used in the sharing economy. To address this research gap, a systematic literature review was performed for this paper. This method can be useful for the exploration of new and emerging trends within disciplines and allows boundaries to be mapped on what is known thereby identifying gaps on what is yet to be known. After screening, 28 English journal articles were selected in a qualitative synthesis. Results show AI can help the sharing economy platforms by enhancing trust, matching assets, and understanding participants’ preferences and attitudes. Based on these findings, potential directions are established. The current study will contribute to both the sharing economy and AI literature, and the results may help practitioners and academia to achieve a greater understanding of this topic.
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
CiteScore
4.00
自引率
6.20%
发文量
21
期刊最新文献
Talk to engage: The influence of smartphone voice assistants on consumers’ brand engagement Being moral motivates consumers to work harder and accept challenges How does omnichannel retailing deliver customer value? Insights from science mapping and future agenda Utilizing gain and loss message framing for consumers: A Machiavellian perspective The current state of big data analytics research in marketing: A systematic review using TCCM approach
×
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