2021
DOI: 10.3390/math9141702
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Corruption Shock in Mexico: fsQCA Analysis of Entrepreneurial Intention in University Students

Abstract: Entrepreneurship is the basis of the production network, and thus a key to territorial development. In this line, entrepreneurial intention has been pointed out as an indicator of latent entrepreneurship. In this article, the entrepreneurial intention of university students is studied from a configurational approach, allowing the study of the combined effect of corruption perception, corruption normalization, gender, university career area, and family entrepreneurial background to explain high levels of entrep… Show more

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Cited by 11 publications
(6 citation statements)
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“…The results show that there are six condition combinations and four configurations between the government integrity effect and the level of open data. The total consistency of variables is 0.6013, indicating that 60.1% of the four configurations have a good honesty effect on provincial governments, and the total coverage is 0.8879, indicating that the combination of six conditions can cover 88.79% of explanatory variables, which also indicates that the conditional variables selected in this paper have a strong explanatory power on the honesty effect of provincial governments, see for details Castelló-Sirvent and Pinazo-Dallenbach (2021) . The overall consistency and middle coverage of variables are both higher than the critical value, indicating the validity of this research analysis, and also proving the validity of our research hypothesis that “the degree of government data opening is positively correlated with the honesty effect to a certain extent.” Based on the analysis results, we divided the conditional variable configuration of provincial government integrity effect and open data level into four models.…”
Section: Results Analysismentioning
confidence: 77%
See 1 more Smart Citation
“…The results show that there are six condition combinations and four configurations between the government integrity effect and the level of open data. The total consistency of variables is 0.6013, indicating that 60.1% of the four configurations have a good honesty effect on provincial governments, and the total coverage is 0.8879, indicating that the combination of six conditions can cover 88.79% of explanatory variables, which also indicates that the conditional variables selected in this paper have a strong explanatory power on the honesty effect of provincial governments, see for details Castelló-Sirvent and Pinazo-Dallenbach (2021) . The overall consistency and middle coverage of variables are both higher than the critical value, indicating the validity of this research analysis, and also proving the validity of our research hypothesis that “the degree of government data opening is positively correlated with the honesty effect to a certain extent.” Based on the analysis results, we divided the conditional variable configuration of provincial government integrity effect and open data level into four models.…”
Section: Results Analysismentioning
confidence: 77%
“…When fsQCA3.0 software is used for analysis, each conditional variable and result is regarded as an independent set, and each case has its relative score in these sets, which requires a data standardization process. In this paper, the direct standardization method was used to convert the data into relative scores of fuzzy sets (for Further Understanding consult; Castelló-Sirvent and Pinazo-Dallenbach, 2021 ). The full standard was set at 0.95, the intersection calibration standard at 0.5, and the complete non-membership calibration standard at 0.05.…”
Section: Variable Selection and Study Outlinementioning
confidence: 99%
“…In the absence of previous research, empirical calibration using percentile divisions of the sample is recommended ( Crilly, 2010 ). In this case, the 10th and 90th percentiles were established as thresholds for full non-membership and full membership, respectively, while the 50th percentile was used as the crossover point, as described by Miranda et al, 2018 , Olaya-Escobar et al, 2020 , Castelló-Sirvent and Pinazo-Dallenbach, 2021 , and De Crescenzo et al (2021) , among others. Calibration was performed using the QCA package in R software ( Thiem and Dusa, 2013 ).…”
Section: Methodsmentioning
confidence: 99%
“…Similarly, the moderation of students' gender, age and family income level on the relationship between personality traits and entrepreneurial intentions has not been extensively evaluated in this region. Although some research has explored the influence of gender and income on the intention to start a business in Latin America [12,13], to date, the study of the moderating effect of these variables on the relationship between personality traits and entrepreneurial intention in this region is limited. The analysis of this moderation is useful to identify profiles of students with a greater predisposition to undertake this type of business since the importance of gender, age and income level in understanding entrepreneurial behaviors has been widely supported [14][15][16][17].…”
Section: Introductionmentioning
confidence: 99%