Huang Yi, Makmor Nurkhalida, Mohamad Siti Hajar
Graduate School of Management, Management and Science University, Shah Alam, 40100, Malaysia.
School of Artificial Intelligence and Big Data, Henan University of Technology, Zhengzhou, 450001, China.
Heliyon. 2024 Aug 9;10(16):e36029. doi: 10.1016/j.heliyon.2024.e36029. eCollection 2024 Aug 30.
In recent years, live streaming commerce (LSC) has become a popular research topic. However, current studies on LSC are relatively insufficient, and analyses have generally focused on its specific aspects, lacking a comprehensive and systematic perspective. Hence, this study utilises CiteSpace to undertake a visual bibliometric analysis aimed at delineating the knowledge framework and evolution of LSC and indicates future research directions to provide a comprehensive picture of the development of this dynamic field over the past six years. The results show that LSC is a thriving subject with several growing annual publications. Additionally, a strong collaboration exists between institutions and authors. Further, 'influence', 'consumer behaviour' and 'consumer purchase intention' are more popular in this domain and have assumed a leading position in recent research. Moreover, novel research trajectories have emerged, indicating interdisciplinary integration within the field. This study is innovative as it combines live streaming with commerce, analyses six years of literature, and builds an accurate and comprehensive knowledge framework within this domain. By identifying current gaps, this study contributes to the literature by addressing prior study limitations, enriching the knowledge base, providing crucial research directions for future exploration, and inspiring scholars to efficiently find research topics.
近年来,直播电商已成为一个热门的研究话题。然而,目前关于直播电商的研究相对不足,分析通常集中在其特定方面,缺乏全面系统的视角。因此,本研究利用CiteSpace进行可视化文献计量分析,旨在勾勒直播电商的知识框架和发展历程,并指出未来的研究方向,以全面呈现这一动态领域在过去六年中的发展情况。结果表明,直播电商是一个蓬勃发展的主题,年出版物数量不断增加。此外,机构和作者之间存在着紧密的合作。此外,“影响力”“消费者行为”和“消费者购买意愿”在该领域更受关注,并在近期研究中占据主导地位。此外,还出现了新的研究轨迹,表明该领域内的跨学科融合。本研究具有创新性,它将直播与电商相结合,分析了六年的文献,并在该领域构建了准确全面的知识框架。通过识别当前的差距,本研究通过解决先前研究的局限性、丰富知识库、为未来探索提供关键研究方向以及激励学者高效找到研究课题,为文献做出了贡献。