COVID-19大流行期间在线推荐对游客决策的影响

Dražen Marić, Ksenija Leković, Sanja Džever
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引用次数: 0

摘要

电子口碑推荐系统(eWOM)自互联网出现以来就已经存在,在此之前,传统的口碑推荐系统(WOM)一直被长期使用。消费者之间的互动会对他们在市场上的进一步行为产生积极和/或消极的影响。旅游业特别重视决策的分析,因为服务的无形性使得整个过程对游客来说很困难。因此,本文的目的是研究在COVID-19病毒大流行期间,在线推荐对旅游消费者决策过程中的行为的影响。本文的主题是电子口碑推荐系统,特别关注旅游业。大流行期间,消费者的生活方式发生了巨大变化,旅游业受到限制和商业经营困难的影响。在塞尔维亚共和国境内进行的实证研究包括268名具有不同社会人口特征的答复者。采用IBM SPSS Statistics统计软件平台对所得数据进行分析,并进行Pearson相关检验,接受假设1、2、3、4。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The impact of online recommendations on tourist's decision-making during the COVID-19 pandemic
Electronic word-of-mouth recommendation system (eWOM) has been present since the emergence of the Internet, and it was preceded by the long-term use of the traditional recommendation system (WOM). Interaction between consumers can result in a positive and/or negative impact on their further behaviour on the market. Tourism industry attaches particular importance to the analysis of decision-making, given that the intangible nature of services makes the entire process difficult for tourists. Therefore, the aim of the paper is to examine the impact of online recommendations on the behaviour of tourist consumers in the decision-making process during the period of the COVID-19 virus pandemic. The subject of the paper is the electronic word-ofmouth recommendation system, with a special focus on tourism. During the pandemic, the consumers' lifestyle was altered enormously, while tourism was affected by restrictions and difficult business operations. Empirical research, conducted on the territory of the Republic of Serbia, included a sample of 268 respondents with different socio-demographic characteristics. The analysis of the obtained data was performed using the statistical software platform IBM SPSS Statistics and the Pearson's Correlation test, after which hypotheses 1, 2, 3 and 4 were accepted.
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