Causal complexity analysis of the Global Innovation Index

Yu Tiffany Hui-Kuang; Huarng Kun-Huang; Huang Duen-Huang

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Causal complexity analysis of the Global Innovation Index

机译：全球创新指数的因果复杂性分析

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This research aims to identify the common causal complexity for the Global Innovation Index (GII), which measures various dimensions of the innovation ecosystem by country. We take all these variables as antecedents and the GII score representing the innovation competence of each country as the outcome and employ GII dataset from 2016 to 2020 for analysis. Because fuzzy set/Qualitative Comparative Analysis (fsQCA) has advantages over conventional statistical analysis and is good at expressing different causal complexities for a problem, this study utilizes it as the research method for analysis. The findings identify a common causal combination with the highest consistency and coverage among all the causal combinations in each year. This causal combination can be used as a representative to interpret GII.

机译：本研究旨在确定全球创新指数（GII）的共同因果关系，该公司按国家衡量创新生态系统的各种方面。我们将所有这些变量作为前书和GII分数，代表每个国家的创新能力作为结果，从2016年到2020年雇用GII数据集进行分析。由于模糊设定/定性对比分析（FSQCA）具有优于常规统计分析的优势，并且擅长对问题的不同因果复杂性，因此该研究利用它作为分析的研究方法。调查结果确定了每年所有因果组合的最高一致性和覆盖率的常见因果关系。这种因果组合可以用作解释GII的代表。

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来源
《Journal of Business Research》 |2021年第12期|39-45|共7页
作者
Yu Tiffany Hui-Kuang; Huarng Kun-Huang; Huang Duen-Huang;
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作者单位

Feng Chia Univ Dept Publ Finance 100 Wenhwa Rd Taichung 407 Taiwan;

Natl Taipei Univ Business Dept Creat Technol & Prod Design 100 Sec 1 Fulong Rd Taoyuan 324 Taiwan;

Chaoyang Univ Technol Ctr Teacher Educ 168 Jifeng E Rd Taichung 413310 Taiwan;

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正文语种 eng
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关键词
Consistency; Coverage; Fuzzy set/Qualitative Comparative Analysis (fsQCA);

机译：一致性;覆盖范围;模糊设定/定性比较分析（FSQCA）;

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Causal complexity analysis of the Global Innovation Index

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