Online Reviews and Purchase Decision: Perspectives of Malaysian versus Chinese Consumers

Q3 Economics, Econometrics and Finance
Azwardi Md Isa, Noor Azura Azman, Md Daud Ismail
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引用次数: 0

Abstract

Purchasing in online platforms has become a significant trend among consumers in today’s globalized market, thus receiving considerable attention from scholars and practitioners alike. Notwithstanding the growth of research, less comparative empirical studies have been devoted to this field. Centralizing the issue of online reviews in online platforms, this study focuses on consumers in two countries, Malaysia and China. This study examines how consumers in these countries assess online reviews from three aspects namely; balance reviews, expert reviews, and strong tie reviews before arriving at a purchase decision. A total of 346 questionnaires were distributed via online survey. Finally, 176 responses from Malaysia and 170 responses from China were returned. Data were statistically analyzed through exploratory factor analysis, to be exact Pearson correlation and regression analysis. This was followed by the confirmatory factor analysis using SEM- PLS. The findings show that there were differences between Malaysia’s and China’s consumers in employing online reviews before making purchase decisions. Based on the findings, discussion and implications of the study as well as limitations and suggestions for future directions are also discussed at the end of this paper.
在线评论与购买决策:马来西亚与中国消费者的观点对比
在全球化的今天,网上购物已经成为消费者的一个重要趋势,因此受到了学者和从业者的广泛关注。尽管研究的增长,较少的比较实证研究一直致力于这一领域。本研究集中讨论在线平台的在线评论问题,重点关注马来西亚和中国两个国家的消费者。本研究从三个方面考察了这些国家的消费者如何评估在线评论;在做出购买决定之前,平衡审查、专家审查和强联系审查。通过网络调查共发放问卷346份。最后,收到了来自马来西亚的176份回复和来自中国的170份回复。采用探索性因子分析对数据进行统计学分析,准确的采用Pearson相关分析和回归分析。随后使用SEM- PLS进行验证性因素分析。研究结果表明,马来西亚和中国消费者在做出购买决定之前使用在线评论方面存在差异。在此基础上,本文还讨论了本研究的讨论和意义,以及对未来发展方向的建议和局限性。
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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来源期刊
Malaysian Journal of Consumer and Family Economics
Malaysian Journal of Consumer and Family Economics Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
1.10
自引率
0.00%
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