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An investigation on trust in AI-enabled collaboration: Application of AI-Driven chatbot in accommodation-based sharing economy
Several measures taken to control the spread of the COVID-19 pandemic have severely disrupted the accommodation sharing sector. This study attempts to find solutions to aid the recovery of the accommodation sharing sector via team efforts. Accordingly, we focus on the integration of artificial intel...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9358935/ https://www.ncbi.nlm.nih.gov/pubmed/35968256 http://dx.doi.org/10.1016/j.elerap.2022.101164 |
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author | Cheng, Xusen Zhang, Xiaoping Yang, Bo Fu, Yaxin |
author_facet | Cheng, Xusen Zhang, Xiaoping Yang, Bo Fu, Yaxin |
author_sort | Cheng, Xusen |
collection | PubMed |
description | Several measures taken to control the spread of the COVID-19 pandemic have severely disrupted the accommodation sharing sector. This study attempts to find solutions to aid the recovery of the accommodation sharing sector via team efforts. Accordingly, we focus on the integration of artificial intelligence (AI) and collaboration. Despite the significant developments in AI technologies, there exists no research considering the application of AI in team collaboration. Utilizing the design science research method and collaboration engineering, we developed an AI-driven prototype system, AI-Driven, for collaboration process recommendation. Qualitative results show that the newly developed tool for collaboration process recommendation has achieved satisfactory performance. Furthermore, we investigated the antecedents and outcomes of trust in the AI-driven collaboration context. From a practical perspective, we propose several solutions to the challenges looming over the accommodation sharing sector according to collaboration deliverables. Furthermore, a system prototype was developed to facilitate collaboration process recommendation and provide procedural guidance. |
format | Online Article Text |
id | pubmed-9358935 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93589352022-08-09 An investigation on trust in AI-enabled collaboration: Application of AI-Driven chatbot in accommodation-based sharing economy Cheng, Xusen Zhang, Xiaoping Yang, Bo Fu, Yaxin Electron Commer Res Appl Article Several measures taken to control the spread of the COVID-19 pandemic have severely disrupted the accommodation sharing sector. This study attempts to find solutions to aid the recovery of the accommodation sharing sector via team efforts. Accordingly, we focus on the integration of artificial intelligence (AI) and collaboration. Despite the significant developments in AI technologies, there exists no research considering the application of AI in team collaboration. Utilizing the design science research method and collaboration engineering, we developed an AI-driven prototype system, AI-Driven, for collaboration process recommendation. Qualitative results show that the newly developed tool for collaboration process recommendation has achieved satisfactory performance. Furthermore, we investigated the antecedents and outcomes of trust in the AI-driven collaboration context. From a practical perspective, we propose several solutions to the challenges looming over the accommodation sharing sector according to collaboration deliverables. Furthermore, a system prototype was developed to facilitate collaboration process recommendation and provide procedural guidance. Elsevier B.V. 2022 2022-06-03 /pmc/articles/PMC9358935/ /pubmed/35968256 http://dx.doi.org/10.1016/j.elerap.2022.101164 Text en © 2022 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Cheng, Xusen Zhang, Xiaoping Yang, Bo Fu, Yaxin An investigation on trust in AI-enabled collaboration: Application of AI-Driven chatbot in accommodation-based sharing economy |
title | An investigation on trust in AI-enabled collaboration: Application of AI-Driven chatbot in accommodation-based sharing economy |
title_full | An investigation on trust in AI-enabled collaboration: Application of AI-Driven chatbot in accommodation-based sharing economy |
title_fullStr | An investigation on trust in AI-enabled collaboration: Application of AI-Driven chatbot in accommodation-based sharing economy |
title_full_unstemmed | An investigation on trust in AI-enabled collaboration: Application of AI-Driven chatbot in accommodation-based sharing economy |
title_short | An investigation on trust in AI-enabled collaboration: Application of AI-Driven chatbot in accommodation-based sharing economy |
title_sort | investigation on trust in ai-enabled collaboration: application of ai-driven chatbot in accommodation-based sharing economy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9358935/ https://www.ncbi.nlm.nih.gov/pubmed/35968256 http://dx.doi.org/10.1016/j.elerap.2022.101164 |
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