Geert Hofstede 的文化维度与全球流行病统计数据是否相关?

Eren DEMİRKIRAN, Önder YÖNET
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引用次数: 0

摘要

COVID-19大流行于2019年在中国开始,并在短时间内在世界许多地方出现,已经影响了隔离和公共卫生制度的个人和社区。与全球发生的每一件事一样,2019冠状病毒病大流行对社会产生了不同的影响,社会对这一流行病的态度和反应也各不相同。许多历史、政治和经济因素可以影响社会对事件的态度和行为。文化很重要,也许是社会和个人生活背景下最重要的变量,他们对社会发展的态度,以及他们的行为。由Geert Hofstede提出的文化维度理论,从五个维度比较社会,提供有关社会生活的信息,并帮助预测可能的行为。本研究考察了COVID-19大流行期间连续发布的大流行统计数据中的总病例数、总死亡数、新病例数、新死亡数、每10万人总病例数、每10万人总死亡数、每10万人新病例数和每10万人新死亡数与Hofstede确定的文化维度之间的关系。为此,以新冠肺炎大流行期间7天病例数最多的100个国家的大流行统计数据为样本,采用Hofstede文化维度评分进行分析。研究最后发现,这些国家的权力范围和长期取向得分与新冠肺炎统计数据之间存在显著的负相关关系。相比之下,个性和不确定性回避得分与COVID-19统计数据显着相关。与高不确定性规避相关的研究结果可以用扩展并行过程模型来解释。各国男子气概得分与COVID-19得分之间没有显著相关性。研究结果显示,各国的文化维度得分与COVID-19统计数据之间存在显着关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Geert Hofstede'nin kültürel boyutları dünya çapındaki pandemi istatistikleriyle ilişkili mi?
The COVID-19 pandemic, which started in China in 2019 and was seen in many parts of the world in a short time, has affected individuals and communities with quarantine and public health regimes. Like every event that has taken place at the global level, the COVID-19 pandemic has affected societies differently, and societies have different attitudes and reactions to the pandemic. Many historical, political, and economic factors can influence societies' attitudes and behaviors toward events. Culture is important, perhaps the most important variable in the context of the lives of societies and individuals, their attitudes toward social developments, and their behavior. The dimensions of culture, theorized by Geert Hofstede, compare societies in five dimensions, provide information about the lives of societies, and help predict possible behavior. This study examines the relationship between the statistics of total cases, total deaths, new cases, new deaths, total cases per 100,000 people, total deaths per 100,000 people, new cases per 100,000 people and new deaths per 100,000 people from the pandemic statistics published continuously during the COVID-19 pandemic and the cultural dimensions determined by Hofstede. For this purpose, pandemic statistics of the 100 countries with the highest number of cases on 7 dates during the COVID-19 pandemic were taken as a sample and analyzed with Hofstede's culture dimension scores. At the end of the study, it was revealed that there was a significant inverse correlation between the power range and long-term orientation scores of the countries and the COVID-19 statistics. In contrast, individuality and uncertainty avoidance scores correlated significantly with COVID-19 statistics. The findings related with high uncertainty avoidance may be explained by Extended Parallel Process Model. No significant correlation was found between countries' masculinity scores and COVID-19 scores. As a result of the study, it was revealed that there were significant relationships between the cultural dimension scores of the countries and the COVID-19 statistics.
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