在线购物的聊天机器人集成:文献计量学回顾与未来研究议程

IF 2.1 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE
Namita Sharma, Meenal Arora, Urvashi Tandon, Amit Mittal
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引用次数: 0

摘要

目的本研究旨在全面分析有关聊天机器人和在线购物的现有文献。此外,本研究还确定并强调了这一领域的未来研究议程和新兴趋势。设计/方法/途径采用系统综述和元分析首选报告项目的方法,对 Scopus 数据库中 2016 年至 2023 年的 147 篇出版物进行了全面调查。分析包括通过 VOSviewer 进行的文献计量学技术,其中包括对所调查文献的科学绘图和性能分析。研究结果研究结果表明,关于在线购物中聊天机器人整合的现有科学研究给人留下了系统的印象。大多数出版物由发展中国家,特别是亚洲地区撰写。随着时间的推移,研究合作明显增多。此外,还通过关键词的共同出现确定了主题,以探索该领域的未来趋势。 实际意义本研究确定并分析了现有文献中有关聊天机器人和在线购物的模式,目的是提高电子零售商对这一特定主题领域的理解。研究结果对研究人员和组织加强战略设计都具有重要意义。原创性/价值本研究采用文献计量分析法研究聊天机器人和在线购物方面的文献,旨在系统地了解该研究领域。本研究为当前的学术讨论做出了有价值的贡献,并为未来学者的研究提供了支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Chatbot integration for online shopping: a bibliometric review and future research agenda
Purpose This study aims to conduct a comprehensive analysis of the current body of existing literature on chatbots and online shopping. Additionally, this study identifies and emphasize the future research agenda and emerging trends within this domain. Design/methodology/approach A thorough investigation was conducted on a set of 147 publications sourced from the Scopus database spanning the years 2016 to 2023 by using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis methodology. The analysis included bibliometric techniques through VOSviewer, including science mapping and performance analysis of the literature under investigation. Findings The findings of the study indicate a systematic impression of prevailing scientific research on integration of Chatbot in online shopping. A majority of publications were contributed by developing countries specifically Asian regions. There has been a notable rise in research collaborations over the course of time. Further, themes were identified through keyword co-occurrence for exploration of future trends in the domain. Practical implications This study identifies and analyzes the patterns in the existing literature on chatbot and online shopping, with the objective of enhancing e-retailers comprehension of this particular topic area. The research findings hold significance for both researchers and organizations in their efforts to enhance strategy design. Originality/value This study uses bibliometric analysis to examine the literature on chatbots and online shopping, aiming to develop a systematic comprehension of the research field. This study makes a valuable contribution to the current scholarly discourse and provides support for future scholars in their investigations.
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来源期刊
Information Discovery and Delivery
Information Discovery and Delivery INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
5.40
自引率
4.80%
发文量
21
期刊介绍: Information Discovery and Delivery covers information discovery and access for digital information researchers. This includes educators, knowledge professionals in education and cultural organisations, knowledge managers in media, health care and government, as well as librarians. The journal publishes research and practice which explores the digital information supply chain ie transport, flows, tracking, exchange and sharing, including within and between libraries. It is also interested in digital information capture, packaging and storage by ‘collectors’ of all kinds. Information is widely defined, including but not limited to: Records, Documents, Learning objects, Visual and sound files, Data and metadata and , User-generated content.
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