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A systematic literature review of AI in the sharing economy
Journal of Global Scholars of Marketing Science Pub Date : 2021-02-18 , DOI: 10.1080/21639159.2020.1808850
Ying Chen 1 , Catherine Prentice 1 , Scott Weaven 2 , Aaron Hsiao 3
Affiliation  

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.



中文翻译:

共享经济中人工智能的系统文献综述

摘要

尽管共享经济平台已采用人工智能(AI),但很少有研究在此背景下研究这一现象。因此,没有关于人工智能如何在共享经济中使用的全面概述。为了弥补这一研究空白,对本文进行了系统的文献综述。这种方法可用于探索学科内的新趋势和新兴趋势,并允许将边界映射到已知事物上,从而确定未知事物的差距。筛选后,定性综合选择了 28 篇英文期刊文章。结果表明,人工智能可以通过增强信任、匹配资产以及了解参与者的偏好和态度来帮助共享经济平台。基于这些发现,确定了潜在的方向。

更新日期:2021-02-18
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