Abstract

Purpose In times of economic crisis, many eyes turn to entrepreneurship, which has become a key element of the economy. Consequently, interest in supporting entrepreneurs has increased. This study aims to detect the configurations of success or failure that may help entrepreneurs’ public orientation. Design/methodology/approach This study used data from the latest economic crisis in a region with high levels of unemployment. The authors studied 2,210 entrepreneurs from Andalusia (Spain). From each, the authors analysed 207 variables and applied the fuzzy version of qualitative comparative analysis (fsQCA). This methodology allowed the authors to infer causality between combinations of factors and positive/negative effects. Findings The authors concluded that there are at least two profiles that should be avoided when starting a business; both refer to projects in quite attractive sectors: an environment with high concentration and survival rates, and when not enough education or high assets turnover is expected. Research limitations/implications It was difficult to obtain a complete database to replicate a study in another region. Moreover, the data corresponded to a period of economic crisis, and the results may not be valid for a more favourable period. Regarding the implications, there have been several unsuccessful attempts in the literature to find a linear association between factors and entrepreneurial success. For instance, linear regressions do not allow us to properly relate the simultaneous presence/absence of various characteristics to success/failure; hence, it is necessary to consider the non-linear and asymmetric relationships between the variables. Practical implications The most attractive sectors for entrepreneurs carry considerable risk for the success of the future business, since “greed clouds judgment”, and high expectations can outweigh other motivations. Support services should filter out candidates with insufficient training or excessive expectations. Originality/value The techniques used in this study allow the consideration of explanatory variables that are not independent of each other, and the subjective aspects of some of the analysed characteristics are examined.

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