首页> 外文期刊>Journal of electronic commerce research >BIBLIOMETRIC AND VISUALIZED ANALYSIS OF RESEARCH ON MAJOR E-COMMERCE JOURNALS USING CITESPACE
【24h】

BIBLIOMETRIC AND VISUALIZED ANALYSIS OF RESEARCH ON MAJOR E-COMMERCE JOURNALS USING CITESPACE

机译:基于CITESPACE的大型电子商务期刊研究的文献计量和可视化分析

获取原文
获取原文并翻译 | 示例
       

摘要

The recent boom of Information Technology development has introduced a rising trend in numerous theories and practices with it. E-commerce is one of the many hot topics for both research and non-academic practice in recent years. However, e-commerce is still in the development stage; studies linking previous understanding and future research trends is needed. This study applies a bibliometric approach using CiteSpace to analyze papers across six e-commerce-focused journals from 1999 to 2016, both quantitatively and visually. Assessments on authorship, countries, institutions, keywords, reference articles, and reference journals were conducted in this study. By examining the papers after 2016 (i.e. 2017 to 2019), we have confirmed that social commerce, social media, online reviews, and word of mouth have been most frequently studied in the e-commerce field, and most research themes include current hotspots belonging to products and structures dimension defined by Zwass. Further, we have found that the mainstream research method is currently shifting from structural equation modeling to data analytics (e.g. sentiment, big data, and semantic analysis). All in all, this study not only provides a framework in the e-commerce field for new researchers but directs the center focus of research for scholars in future studies as well. Contributions and limitations are discussed at the end of this study.
机译:信息技术发展的近来繁荣已经引入了众多理论和实践的上升趋势。电子商务是近年来研究和非学术实践的众多热门话题之一。但是,电子商务仍处于发展阶段。需要将以前的理解与将来的研究趋势联系起来的研究。这项研究采用了CiteSpace的文献计量方法,以定量和视觉方式分析了1999年至2016年间六种以电子商务为重点的期刊的论文。在这项研究中,对作者身份,国家,机构,关键字,参考文章和参考期刊进行了评估。通过研究2016年(即2017年至2019年)之后的论文,我们确认了社交商务,社交媒体,在线评论和口碑是电子商务领域中研究最频繁的领域,并且大多数研究主题都包括当前的热点Zwass定义的产品和结构尺寸。此外,我们发现目前的主流研究方法是从结构方程建模转向数据分析(例如,情感,大数据和语义分析)。总而言之,这项研究不仅为新研究人员提供了电子商务领域的框架,而且也为未来研究中的学者提供了研究的重点。在研究结束时讨论了贡献和局限性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号