Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Cheng, Xusen, Zhang, Xiaoping, Yang, Bo, Fu, Yaxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2022
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
_version_ 1784764033818165248
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
work_keys_str_mv AT chengxusen aninvestigationontrustinaienabledcollaborationapplicationofaidrivenchatbotinaccommodationbasedsharingeconomy
AT zhangxiaoping aninvestigationontrustinaienabledcollaborationapplicationofaidrivenchatbotinaccommodationbasedsharingeconomy
AT yangbo aninvestigationontrustinaienabledcollaborationapplicationofaidrivenchatbotinaccommodationbasedsharingeconomy
AT fuyaxin aninvestigationontrustinaienabledcollaborationapplicationofaidrivenchatbotinaccommodationbasedsharingeconomy
AT chengxusen investigationontrustinaienabledcollaborationapplicationofaidrivenchatbotinaccommodationbasedsharingeconomy
AT zhangxiaoping investigationontrustinaienabledcollaborationapplicationofaidrivenchatbotinaccommodationbasedsharingeconomy
AT yangbo investigationontrustinaienabledcollaborationapplicationofaidrivenchatbotinaccommodationbasedsharingeconomy
AT fuyaxin investigationontrustinaienabledcollaborationapplicationofaidrivenchatbotinaccommodationbasedsharingeconomy