{"title":"Mapping the Evolutionary Characteristics of Global Research Related to Technical Communication: A Scientometric Review","authors":"Mingdan Luo, D. DeWitt, Norlidah Alias","doi":"10.55177/tc995833","DOIUrl":null,"url":null,"abstract":"Purpose: Technical communication (TC) is an emerging topic which has received attention in both the field of language studies and among the technical profession in the last few decades. In this article, a scientometric review of academic publications to explore the intellectual\n landscape and evolutionary characteristics of TC research worldwide between 2001 and 2020 is conducted. Methods: Visualization software was employed to analyze co-citation and co-word networks from 2,183 articles published in Web of Science and Scopus databases from 2001 to 2020.\n Results: The findings indicate that TC research has increased in recent years and has been done in the English language departments and technology departments in recent years. Then, five clusters form the intellectual structure of TC research: translation training, methodologies in\n TC, composition studies, rhetorical action, and the industry's needs. Finally, the findings indicated there were paradigm shifts in the field of TC. Further, the evolution analysis has shown that the current trends of TC research is now focused on TC pedagogy, a global TC, human-computer\n interaction, and language learning and training. Conclusion: This review provides reliable information for academics and practitioners to identify the knowledge base, the evolutionary process, and the emerging trends in the TC field from visualized maps. This review can serve as\n a prelude for future TC research and can provide a guide for the TC skills required among professionals in the future.","PeriodicalId":46338,"journal":{"name":"Technical Communication","volume":" ","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2022-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technical Communication","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.55177/tc995833","RegionNum":4,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMMUNICATION","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose: Technical communication (TC) is an emerging topic which has received attention in both the field of language studies and among the technical profession in the last few decades. In this article, a scientometric review of academic publications to explore the intellectual
landscape and evolutionary characteristics of TC research worldwide between 2001 and 2020 is conducted. Methods: Visualization software was employed to analyze co-citation and co-word networks from 2,183 articles published in Web of Science and Scopus databases from 2001 to 2020.
Results: The findings indicate that TC research has increased in recent years and has been done in the English language departments and technology departments in recent years. Then, five clusters form the intellectual structure of TC research: translation training, methodologies in
TC, composition studies, rhetorical action, and the industry's needs. Finally, the findings indicated there were paradigm shifts in the field of TC. Further, the evolution analysis has shown that the current trends of TC research is now focused on TC pedagogy, a global TC, human-computer
interaction, and language learning and training. Conclusion: This review provides reliable information for academics and practitioners to identify the knowledge base, the evolutionary process, and the emerging trends in the TC field from visualized maps. This review can serve as
a prelude for future TC research and can provide a guide for the TC skills required among professionals in the future.
目的:在过去的几十年里,技术交流是一个新兴的话题,在语言研究领域和技术专业中都受到了关注。在这篇文章中,对学术出版物进行了科学计量学综述,以探索2001年至2020年间全球TC研究的知识景观和进化特征。方法:利用可视化软件对2001-2020年发表在Web of Science和Scopus数据库的2183篇文章的共引和共词网络进行分析。结果:研究结果表明,近年来TC的研究有所增加,近年来在英语系和技术系进行了研究。然后,翻译培训、翻译方法论、作文研究、修辞行为和行业需求五个集群构成了翻译研究的智力结构。最后,研究结果表明,TC领域发生了范式转变。此外,进化分析表明,当前TC研究的趋势主要集中在TC教育学、全球TC、人机交互以及语言学习和训练。结论:这篇综述为学术界和从业者从可视化地图中识别TC领域的知识库、进化过程和新兴趋势提供了可靠的信息。这篇综述可以作为未来TC研究的前奏,并可以为未来专业人员所需的TC技能提供指导。