How Al Enhancements to SE Platforms Affecting User Experience to Benefit Conversion

Research Article
Open access

How Al Enhancements to SE Platforms Affecting User Experience to Benefit Conversion

Jiaqi Wang 1* , Yuyu Yang 2 , Tianxiao Wu 3
  • 1 LiRen College, Yanshan University, Hebei, China    
  • 2 Zhixin International High School, Guangzhou, China    
  • 3 The Affiliated High School of Peking University, Beijing, China    
  • *corresponding author 1569978234@qq.com
AEMPS Vol.182
ISSN (Print): 2754-1177
ISSN (Online): 2754-1169
ISBN (Print): 978-1-80590-101-3
ISBN (Online): 978-1-80590-102-0

Abstract

This paper studies the impact of artificial intelligence (AI) on improving consumers' participation in the sharing economy. With the rise of environmental awareness and the proliferation of digital platforms, artificial intelligence has become vital for improving trust and asset matching. However, enterprises should avoid possible risks when applying AI. This paper assumes that SE platformed enterprises will eventually adopt AI tools and strategies to optimize efficiency and improve user experiences. This paper mainly studies from two aspects. First, it discusses how enterprises use artificial intelligence to improve platform functions to improve customer experience. Second, this paper proposes an implementation framework for SE enterprises using the SLO analysis framework to protect the valuable SLO of SE enterprises. This article focuses on technical, legal, ethical, and consumer perspectives in the SLO analysis process. This paper concludes that artificial intelligence is a sustainable and cost-effective strategy for the sharing economy that helps achieve environmental and economic goals. The research results of SE platforms leverage the perception of being a positive, pro-environmental, pro-community building modality, preventing losing its social license to operate, emphasizing the potential of artificial intelligence to improve customer satisfaction and participation through personalized services and responsive customer support.

Keywords:

Sharing Economy(SE), Customer Satisfaction, Digital Platforms, Consumer Engagement, SLO (Social License to Operate)

Wang,J.;Yang,Y.;Wu,T. (2025). How Al Enhancements to SE Platforms Affecting User Experience to Benefit Conversion. Advances in Economics, Management and Political Sciences,182,59-65.
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References

[1]. Nazir, S., Khadim, S., Ali Asadullah, M., Syed, N. (2023) Exploring the influence of artificial intelligence technology on consumer repurchase intention: The mediation and moderation approach. Technology in Society,72.

[2]. Nazir, S., Khadim, S., Ali Asadullah, M., Syed, N. (2023) Exploring the influence of artificial intelligence technology on consumer repurchase intention: The mediation and moderation approach. Technology in Society,72.

[3]. Gang Cai, Chunmei Ni(Computational Intelligence and Neuroscience. ), 2022. The Analysis of Sharing Economy on New Business Model Based on BP Neural Network | Computational Intelligence and Neuroscience. https://dl.acm.org/doi/10.1155/2022/4974564.

[4]. Xu, X. (2020) How do consumers in the sharing economy value sharing? Evidence from online reviews. Decision Support Systems, 128.

[5]. Pappas, N. (2019) The complexity of consumer experience formulation in the sharing economy. International Journal of Hospitality Management, 77: 415–424.

[6]. Li, Y., Li, B., Wang, G. & Yang, S. (2021) The effects of consumer animosity on demand for sharing-based accommodations: Evidence from Airbnb. Decis. Support Syst. 140.

[7]. Su-Jung Nam, Hyesun Hwang(Corporate Social Responsibility and Environmental Management-Wiley Online Library), 2018. What makes consumers respond to creating shared value strategy? Considering consumers as stakeholders in sustainable development, https://onlinelibrary.wiley.com/doi/10.1002/csr.1690.

[8]. Naeun Lauren Kim, Byoungho Ellie Jin(International Journal of Consumer Studies-Wiley Online Library), 2020. Why buy new when one can share? Exploring collaborative consumption motivations for consumer goods. https://onlinelibrary.wiley.com/doi/10.1111/ijcs.12551.

[9]. João Felix, Michel Alexandre , Gilberto Tadeu Lima (Computational Economics.-SPRINGER LINK), 2024. Applying Machine Learning Algorithms to Predict the Size of the Informal Economy. https://link.springer.com/article/10.1007/s10614-024-10593-6.

[10]. Tussyadiah, I. P. , Pesonen, J. (2018) Drivers and barriers of peer-to-peer accommodation stay – an exploratory study with American and Finnish travellers. Curr. Issues Tour, 21:703–720.

Cite this article

Wang,J.;Yang,Y.;Wu,T. (2025). How Al Enhancements to SE Platforms Affecting User Experience to Benefit Conversion. Advances in Economics, Management and Political Sciences,182,59-65.

Data availability

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About volume

Volume title: Proceedings of the 3rd International Conference on Financial Technology and Business Analysis

ISBN：978-1-80590-101-3(Print) / 978-1-80590-102-0(Online)
Editor：Ursula Faura-Martínez
Conference website: https://2024.icftba.org/
Conference date: 13 June 2025
Series: Advances in Economics, Management and Political Sciences
Volume number: Vol.182
ISSN：2754-1169(Print) / 2754-1177(Online)

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References

[1]. Nazir, S., Khadim, S., Ali Asadullah, M., Syed, N. (2023) Exploring the influence of artificial intelligence technology on consumer repurchase intention: The mediation and moderation approach. Technology in Society,72.

[2]. Nazir, S., Khadim, S., Ali Asadullah, M., Syed, N. (2023) Exploring the influence of artificial intelligence technology on consumer repurchase intention: The mediation and moderation approach. Technology in Society,72.

[3]. Gang Cai, Chunmei Ni(Computational Intelligence and Neuroscience. ), 2022. The Analysis of Sharing Economy on New Business Model Based on BP Neural Network | Computational Intelligence and Neuroscience. https://dl.acm.org/doi/10.1155/2022/4974564.

[4]. Xu, X. (2020) How do consumers in the sharing economy value sharing? Evidence from online reviews. Decision Support Systems, 128.

[5]. Pappas, N. (2019) The complexity of consumer experience formulation in the sharing economy. International Journal of Hospitality Management, 77: 415–424.

[6]. Li, Y., Li, B., Wang, G. & Yang, S. (2021) The effects of consumer animosity on demand for sharing-based accommodations: Evidence from Airbnb. Decis. Support Syst. 140.

[7]. Su-Jung Nam, Hyesun Hwang(Corporate Social Responsibility and Environmental Management-Wiley Online Library), 2018. What makes consumers respond to creating shared value strategy? Considering consumers as stakeholders in sustainable development, https://onlinelibrary.wiley.com/doi/10.1002/csr.1690.

[8]. Naeun Lauren Kim, Byoungho Ellie Jin(International Journal of Consumer Studies-Wiley Online Library), 2020. Why buy new when one can share? Exploring collaborative consumption motivations for consumer goods. https://onlinelibrary.wiley.com/doi/10.1111/ijcs.12551.

[9]. João Felix, Michel Alexandre , Gilberto Tadeu Lima (Computational Economics.-SPRINGER LINK), 2024. Applying Machine Learning Algorithms to Predict the Size of the Informal Economy. https://link.springer.com/article/10.1007/s10614-024-10593-6.

[10]. Tussyadiah, I. P. , Pesonen, J. (2018) Drivers and barriers of peer-to-peer accommodation stay – an exploratory study with American and Finnish travellers. Curr. Issues Tour, 21:703–720.

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