Service chatbot: Co-citation and big data analysis toward a review and research agenda

Citations

WEB OF SCIENCE

30
Citations

SCOPUS

43

초록

This study identified the research trends and intellectual structure of chatbots, through chatbot-related articles to suggest a future research agenda. Systematic literature reviews were performed on 386 articles from the Web of Science database. The intellectual structure investigated major articles and research topics, wherein the research gap and agenda were identified by analyzing keywords. Research on chatbots has been rapidly increasing since 2021, and is being conducted based on the theory of technology adoption. Althrough the bias of chatbots as well as issues related to ethics and security were treated as important topics in newspaper articles, studies were found to be insufficient. As a research variable, there have been many studies verifying the effect of chatbot humanness. However, studies on individual factors and strategies that influence the adoption and proliferation of chatbots are insufficient.

키워드

Retail service chatbotDocumentation co-citation analysisIntellectual structureTopic modelingNews analysisBRAVE-NEW-WORLDARTIFICIAL-INTELLIGENCEUSER ACCEPTANCETECHNOLOGYMANAGEMENTCOMMUNICATIONCONVERSATIONSRESPONSESTRENDS
제목
Service chatbot: Co-citation and big data analysis toward a review and research agenda
저자
Lee, Sae EunJu, NaanLee, Kyu-Hye
DOI
10.1016/j.techfore.2023.122722
발행일
2023-09
유형
Review
저널명
Technological Forecasting and Social Change
194
페이지
1 ~ 14

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