A literature review on users' behavioral intention toward chatbots' adoption

IF 12.3 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Paraskevi Gatzioufa, Vaggelis Saprikis
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引用次数: 9

Abstract

PurposeDespite the fact that chatbots have been largely adopted for the last few years, a comprehensive literature review research focusing on the intention of individuals to adopt chatbots is rather scarce. In this respect, the present paper attempts a literature review investigation of empirical studies focused on the specific issue in nine scientific databases during 2017-2021. Specifically, it aims to classify extant empirical studies which focus on the context of individuals' adoption intention toward chatbots.Design/methodology/approachThe research is based on PRISMA methodology, which revealed a total of 39 empirical studies examining users' intention to adopt and utilize chatbots.FindingsAfter a thorough investigation, distinct categorization criteria emerged, such as research field, applied theoretical models, research types, methods and statistical measures, factors affecting intention to adopt and further use chatbots, the countries/continents where these surveys took place as well as relevant research citations and year of publication. In addition, the paper highlights research gaps in the examined issue and proposes future research directions in such a promising information technology solution.Originality/valueAs far as the authors are concerned, there has not been any other comprehensive literature review research to focus on examining previous empirical studies of users' intentions to adopt and use chatbots on the aforementioned period. According to the authors' knowledge, the present paper is the first attempt in the field which demonstrates broad literature review data of relevant empirical studies.
用户使用聊天机器人行为意愿的文献综述
尽管聊天机器人在过去几年中被广泛采用,但针对个人采用聊天机器人的意图进行全面的文献综述研究却相当缺乏。在这方面,本文试图对2017-2021年九个科学数据库中针对具体问题的实证研究进行文献综述调查。具体来说,它旨在对现有的实证研究进行分类,这些研究主要关注个人对聊天机器人的采用意愿。设计/方法/方法本研究基于PRISMA方法,该方法共揭示了39项实证研究,研究了用户采用和使用聊天机器人的意图。经过深入的调查,得出了明确的分类标准,如研究领域、应用理论模型、研究类型、方法和统计措施、影响采用和进一步使用聊天机器人意愿的因素、进行调查的国家/大洲、相关研究的引用和发表年份。此外,本文还强调了所研究问题的研究空白,并提出了这一有前景的信息技术解决方案的未来研究方向。原创性/价值就作者而言,目前还没有其他全面的文献综述研究来集中研究之前关于上述时期用户采用和使用聊天机器人的意图的实证研究。据作者所知,本文是该领域的第一次尝试,展示了相关实证研究的广泛文献综述数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Applied Computing and Informatics
Applied Computing and Informatics Computer Science-Information Systems
CiteScore
12.20
自引率
0.00%
发文量
0
审稿时长
39 weeks
期刊介绍: Applied Computing and Informatics aims to be timely in disseminating leading-edge knowledge to researchers, practitioners and academics whose interest is in the latest developments in applied computing and information systems concepts, strategies, practices, tools and technologies. In particular, the journal encourages research studies that have significant contributions to make to the continuous development and improvement of IT practices in the Kingdom of Saudi Arabia and other countries. By doing so, the journal attempts to bridge the gap between the academic and industrial community, and therefore, welcomes theoretically grounded, methodologically sound research studies that address various IT-related problems and innovations of an applied nature. The journal will serve as a forum for practitioners, researchers, managers and IT policy makers to share their knowledge and experience in the design, development, implementation, management and evaluation of various IT applications. Contributions may deal with, but are not limited to: • Internet and E-Commerce Architecture, Infrastructure, Models, Deployment Strategies and Methodologies. • E-Business and E-Government Adoption. • Mobile Commerce and their Applications. • Applied Telecommunication Networks. • Software Engineering Approaches, Methodologies, Techniques, and Tools. • Applied Data Mining and Warehousing. • Information Strategic Planning and Recourse Management. • Applied Wireless Computing. • Enterprise Resource Planning Systems. • IT Education. • Societal, Cultural, and Ethical Issues of IT. • Policy, Legal and Global Issues of IT. • Enterprise Database Technology.
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