An investigation on trust in AI-enabled collaboration: Application of AI-Driven chatbot in accommodation-based sharing economy

作者：

Highlights：

• This study attempts to propose solutions to challenges facing the accommodation sharing sectors during the COVID-19 pandemic by online team collaboration.

• Using the design science research method, this study develops an AI-driven collaboration process recommendation system to provide procedural support for team collaboration.

• This study examines the antecedents and consequences of trust in the AI-enabled collaboration context.

• According to deliverables of team collaboration, this study summarizes potential challenges facing the accommodation sharing sectors during the COVID-19 pandemic and proposes several service recovery strategies.

摘要

•This study attempts to propose solutions to challenges facing the accommodation sharing sectors during the COVID-19 pandemic by online team collaboration.•Using the design science research method, this study develops an AI-driven collaboration process recommendation system to provide procedural support for team collaboration.•This study examines the antecedents and consequences of trust in the AI-enabled collaboration context.•According to deliverables of team collaboration, this study summarizes potential challenges facing the accommodation sharing sectors during the COVID-19 pandemic and proposes several service recovery strategies.

论文关键词：Collaboration engineering,Design science research,Trust,Human-AI interaction, collaboration process,Accommodation-based sharing economy

论文评审过程：Received 12 January 2022, Revised 13 May 2022, Accepted 30 May 2022, Available online 3 June 2022, Version of Record 8 August 2022.

论文官网地址：https://doi.org/10.1016/j.elerap.2022.101164