A systematic literature review of AI in the sharing economy

Chen, Ying; Prentice, Catherine; Weaven, Scott; Hsiao, Aaron

doi:10.1080/21639159.2020.1808850

Cited by 15 publications

(9 citation statements)

References 41 publications

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“…The fact that, in less than 3 years, the term ‘influencer’ has evolved incredibly fast, demonstrates that this domain is evolving. Some authors have described influencers as an emerging market (Abhishek & Srivastava, 2021; Chen, Prentice, et al, 2022; Chen & Wang, 2019; Roy & Jain, 2022; Vieira et al, 2019; Ye et al, 2021). The fashion industry's heavy reliance on influencer marketing necessitates a comprehensive understanding of its impact on customer engagement and brand loyalty.…”

Section: Findings and Discussionmentioning

confidence: 99%

Impact of artificial intelligence on customer engagement and advertising engagement: A review and future research agenda

Suraña‐Sánchez,

Aramendia‐Muneta

2024

Int J Consumer Studies

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This study, through a bibliometric analysis, aims to provide increased knowledge of the evolution and effects of artificial intelligence over the last 30 years in customer engagement and advertising engagement. Articles were gathered from three databases by using combinations of keywords (artificial intelligence, customer engagement, advertising engagement, marketing, machine learning, etc.). A set of inclusion/exclusion criteria were then applied to obtain the final sample. The final sample was made up of 190 peer‐reviewed articles. Three separate analyses were performed to test the sample. A performance analysis identified the articles' years of publication, contributions per country and the performance/output of the relevant journals. A data analysis created 10 clusters; these are examined in depth, and provide explanations of the evolution of the relevant scientific production. The study's findings offer a wide perspective of research undertaken to date, and identify possible research gaps. This research contributes to the marketing field by bridging a gap, through undertaking a bibliometric analysis, in the research about the impact of artificial intelligence on customer and advertising engagement over the years 1991 through 2022. It offers scholars and researchers ideas for future research.

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Section: Findings and Discussionmentioning

confidence: 99%

Impact of artificial intelligence on customer engagement and advertising engagement: A review and future research agenda

Suraña‐Sánchez,

Aramendia‐Muneta

2024

Int J Consumer Studies

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“…The sharing economy offers consumers the opportunity to replace exclusive ownership of goods and services with lower-cost options (Mao et al, 2020). Studies have depicted consumers' participation in the sharing economy as involving economic motivations (Boadi et al, 2021;Chen et al, 2021). The economic value of the sharing economy is a major determinant of its uptake and popularity.…”

Section: Economic Valuementioning

confidence: 99%

Exploring users’ continuance intention towards a peer-to-peer accommodation sharing platform

Ofori

Chai

Adeola

et al. 2023

JHTT

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Purpose Focused on peer-to-peer accommodation sharing, this paper aims to investigate the effect of perceived value on the two dimensions of satisfaction (transaction- and experience-based) and continuance intention involved in using a platform featuring triadic relationships. Design/methodology/approach Survey data were collected from 392 Airbnb users and analysed using the partial least squares approach to structural equation modelling. Findings All dimensions of perceived value had a significant effect on transaction-based satisfaction. Symbolic value did not have a significant effect on satisfaction. Transaction- and experience-based satisfaction had a significant effect on continuance intention. Research limitations/implications The findings highlight the differential effects of dimensions of perceived value for understanding customer satisfaction and continuance intention in the peer-to-peer accommodation context. The study focused on only one sector of the sharing economy, namely, the peer-to-peer accommodation sector. Originality/value The study offers fresh insights on the nexus between value perceptions and continuance intention in the context of peer-to-peer accommodation.

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“…Artificial Intelligence-generated smart replies can increase trust between different stakeholders ( Hohenstein and Jung, 2020 ). AI can foster trust through digital services such as background checking and ID verification ( Chen et al, 2021 ). These services encourage customers to interact and engage with the sharing platform.…”

Section: Literature Reviewmentioning

confidence: 99%

“…For example, hosts use smart home devices (such as smart lock, smart thermostat, and home assistant) based on AI technology to reduce costs. AI can help foster trust through background checking and ID verification ( Chen et al, 2021 ) and enhance customer engagement and loyalty by providing a memorable service experience ( Prentice and Nguyen, 2020 ). Although AI is widely used in home-sharing businesses, the research in the sharing economy is in its infancy ( Vlačić et al, 2021 ), and its contributions are underexplored.…”

Section: Introductionmentioning

confidence: 99%

The influence of customer trust and artificial intelligence on customer engagement and loyalty – The case of the home-sharing industry

et al. 2022

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Trust is an essential factor in online and offline transactions. However, the role of customer trust has received limited attention in the home-sharing economy. Drawing on the revised stimulus organism response model and trust transfer theory, this paper examines how customer trust in home-sharing hosts and platforms affects customer relationships, manifested in customer engagement and loyalty. As artificial intelligence (AI) is extensively utilized within home-sharing platforms to facilitate business operations and enhance the customer experience, this study also examines the influence of AI on customer trust and other related outcomes. The research was undertaken in China, with respondents who had used home-sharing platforms. Results from structural equation modeling show that customer trust had a significant positive relationship with customer engagement and loyalty. Customer engagement mediates the relationship between trust and loyalty, while AI may have a negative moderating effect between host trust and customer engagement and customer engagement and loyalty. The paper contributes to marketing, sharing economy and AI research. The work has implications for practitioners offering suggestions to develop marketing strategies for business growth and sustainability.

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A systematic literature review of AI in the sharing economy

Cited by 15 publications

References 41 publications

Impact of artificial intelligence on customer engagement and advertising engagement: A review and future research agenda

Impact of artificial intelligence on customer engagement and advertising engagement: A review and future research agenda

Exploring users’ continuance intention towards a peer-to-peer accommodation sharing platform

The influence of customer trust and artificial intelligence on customer engagement and loyalty – The case of the home-sharing industry

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