A systematic literature review of AI in the sharing economy

Ying Chen, C. Prentice, Scott Weaven, Aaron Hsiao
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引用次数: 15

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.
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共享经济中人工智能的系统文献综述
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。
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来源期刊
CiteScore
4.00
自引率
6.20%
发文量
21
期刊最新文献
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