社交媒体与企业发展创新在Covid-19期间帮助经济的关联

Diah Puspita Ningrum, Syehvira Shal Shabilla, A. D. Cahyasari, S. M. Ulyah
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摘要

国际货币基金组织(IMF)表示,新冠肺炎疫情可能引发经济增长危机,从而影响一个国家的粮食安全。这可能会干扰可持续发展目标(sdg)之一,即保持稳定的经济增长,其中一个是针对印度尼西亚等发展中国家。因此,本研究对新冠肺炎疫情期间社交媒体与企业发展、创新帮助经济的关系进行了分析,并采用卡方假设检验和t检验进行了检验。卡方假设检验是对两个变量进行的一种非参数比较检验,其中两个变量的数据尺度为标称或比例。本研究采用卡方统计假设检验来确定创业创新与社交媒体之间是否存在关系。采用t检验分析了疫情前后、创新前后的平均收入差异。因此,预计该研究结果将成为政府在数字化新冠疫情期间激活经济的参考,为经济复苏提供支持。本研究结果表明,企业发展创新与社交媒体使用强度之间存在一定的关系。配对t检验结果显示,疫情前后、创新前后人均收入均存在差异。©2022美国物理学会。版权所有。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The association of social media to business development innovations in helping the economy during Covid-19
The International Monetary Fund (IMF) stated that the Covid-19 pandemic could trigger an economic growth crisis that would affect a country's food security. This can interfere with one of the Sustainable Development Goals (SDGs), namely to maintain stable economic growth, one of which is for developing countries such as Indonesia. For this reason, in this study, an analysis was carried out to find out the relationship of social media to business development, innovation in helping the economy during the Covid-19 pandemic, which was tested with the Chi-square hypothesis test and t-test. Chi-square hypothesis test is a type of non-parametric comparative test conducted on two variables, where the data scale of the two variables is nominal or ratio. The Chi-square statistic hypothesis test in this study was conducted to determine whether there is a relationship between innovation in establishing a business and social media. The t-test was conducted to analysis difference in the average income both before and after the pandemic as well as before and after innovating. Thus, this study is expected to be used as a reference by the government to revive the economic sector during the digital-based Covid-19 pandemic that can support the country's economic recovery. The results of this study indicate that there is a relationship between business development innovation and the intensity of social media use. Based on the paired t-test, the results show that there are differences in the average income both before and after the pandemic as well as before and after innovating. © 2022 American Institute of Physics Inc.. All rights reserved.
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