COVID-19 and consumer behaviour: A bibliometric analysis

Yusra Jamil Memon, Naveed Sultana, Nasrallah, Javed Ali
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Abstract

Purpose:- This study was aimed at extending the understanding of Covid-19 literature regarding Consumer Behaviour by using bibliometric technique of analysis. Design/Methodology/ approach:- The current study adopts bibliometric analysis and was based on the records extracted from Scopus database. Scopus database was selected since it was known to be major citation and abstract database of peer-reviewed literature covering an extensive collection of topics. Findings:- The findings suggested that the most influential authors in the area were Graffigna, G. was leading others by producing the most documents (16) in the searched area. Furthermore, key co-occurrence showed ‘pandemic’, ‘social media’, ‘consumer behavior’, ‘social distancing’, and ‘lockdown’ as main keywords. Research limitation/ Implications:- This research applied specific keywords which might have limited the results. We also applied different thresholds while screening and analyzing the records which might exclude the important and worth-noticing piece of data in the documents. We categorized the keywords which were relevant to Covid-19 and Consumer Behavior. It might overlook other more important keywords used in the documents. Originality/value:- The current study was designed to extend the understanding of Covid-19 literature with Consumer Behaviour by using bibliometric technique of analysis. It was first of its kind which would aid in comprehending the phenomenon and future research directions.
COVID-19与消费者行为:文献计量学分析
目的:本研究旨在通过使用文献计量学分析技术,扩展对Covid-19有关消费者行为的文献的理解。设计/方法/方法:-本研究采用文献计量学分析,并基于从Scopus数据库中提取的记录。选择Scopus数据库是因为它是同行评议文献的主要引用和摘要数据库,涵盖了广泛的主题。研究结果:-研究结果表明,该领域最具影响力的作者是Graffigna, G.,他在该领域发表的论文最多(16篇)。关键词共现结果显示,“流行病”、“社交媒体”、“消费者行为”、“社交距离”和“封锁”是主要关键词。研究局限/启示:-本研究使用了特定的关键词,这可能会限制结果。在对记录进行筛选和分析时,我们还采用了不同的阈值,可能会排除文档中重要和值得注意的数据。我们对与Covid-19和消费者行为相关的关键词进行了分类。它可能会忽略文档中使用的其他更重要的关键字。原创性/价值:-本研究旨在通过使用文献计量学分析技术,扩展对Covid-19文献与消费者行为的理解。这是第一次,有助于理解这一现象和未来的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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