Prediction of the innovative capacity of countries based on their cultural dimensions: an analysis of the global innovation index

Author:

Lourenço Caio MarceloORCID,Santos Fernando César AlmadaORCID

Abstract

This article seeks to examine how Hofstede's cultural dimensions act as predictive variables for country innovation. In order to clarify how national culture influence countries' capacity for innovation, regression models were developed, and comparisons were made. We will use the multivariate linear regression method for the analysis, with the scores obtained by countries in the GII as the dependent variable and the values of cultural dimensions as explanatory variables. Individualism, long-term orientation and indulgence dimensions have a positive influence on countries' innovation. However, there is a negative relationship between uncertainty to avoidance and innovation. Possible reasons for these associations may include greater professional focus, openness to new ideas and greater resistance to innovation. Since the reality of each country is different, whether due to its culture, history and social aspects or due to its geographical location and availability of natural resources, it is not possible to simply import policies from one context to another. Given these factors, an analysis is needed on how infrastructure and cultural difference can influence the innovative performance of countries. This study aims to expand the literature on how culture in its different forms assists in the innovation process of countries by presenting quantitative and qualitative results on which cultural dimensions are most relevant to innovation.

Publisher

Universidade Estadual de Maringa

Subject

General Earth and Planetary Sciences,General Physics and Astronomy,General Engineering,General Mathematics,General Chemistry,General Computer Science

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3