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The purpose of this paper is to use tenets of the complexity theory in order to study the effect of various determinants of firm’s performance, such as CEO’s compensation and age, for the case of 72 insurance companies.

The authors identify the asymmetries in the data set by creating quantiles and using contrarian analysis. Instead of ignoring this information and use a main effects approach, all the available information in the data set is taken into account. For this purpose, the authors use qualitative comparative analysis to find alternative equifinal routes toward high firm performance.

Five configurations are found which lead to high performance. Every one of the five configurations is found to be sufficient but not necessary for high firm performance.

The research findings contribute to a better understanding of the determinants of firm’s performance taking into account the asymmetries in the data set. The authors identify alternative paths toward high firm performance, which could be vital information for the decision maker inside a firm.

The purpose of this review was to examine Indian research on help-seeking for mental health problems in adults.

Original Indian research studies on help-seeking for mental health, published from the year 2001−2019 were searched on PubMed, EBSCO, ProQuest and OVID using a set of relevant keywords. After applying exclusion criteria, 52 relevant research studies were identified.

The reviewed studies spanned a variety of themes such as barriers and facilitators to help-seeking, sources of help-seeking, causal attributions as well as other correlates of help-seeking, process of help-seeking and interventions to increase help-seeking. The majority of these studies were carried out in general community samples or treatment-seeking samples. Very few studies incorporated non-treatment seeking distressed samples. There is a severe dearth of studies on interventions to improve help-seeking. Studies indicate multiple barriers to seeking professional help and highlight that mere knowledge about illness and availability of professional services may be insufficient to minimize delays in professional help-seeking.

Help-seeking in the Indian context is often a family-based decision-making process. Multi-pronged help-seeking interventions that include components aimed at reducing barriers experienced by non-treatment seeking distressed persons and empowering informal support providers with knowledge and skills for encouraging professional help-seeking in their significant others may be useful.

While research has identified a consistent link between startup intent and entrepreneurship education (EE) intentions, studies also indicate that many entrepreneurs lack the EE they need. However, research examining factors that explain why certain individuals with high startup intent pursue EE while others do not is rare. Given this, the purpose of this paper is to examine how individual characteristics moderate the startup intent EE intentions relationship.

Survey data were gathered on 199 US adults. Moderators examined include attitudes toward education, perceived entrepreneurial efficacy, propensity for risk taking and the Big Five personality traits. Linear regression models were used to test each of the moderation relationships predicted.

Notable findings suggest that extroversion, openness to experience, agreeableness, perceived entrepreneurial efficacy and risk propensity reduce the chances that individuals with high startup intent will pursue EE, while viewing education as instrumental enhances the relationship.

Study findings imply that EE programs might not be reaching critical target markets, suggest that EE programs might need to be modified to attract individuals with high startup intent and indicate that individual characteristics are key factors that determine why certain individuals with high startup intent pursue EE while others with the same desires do not pursue EE.

This study builds on previous work that looks at the relationship between startup intent and EE intentions by investigating how individual characteristics either amplify or diminish the relationship, increasing scholarly knowledge about why certain individuals with high startup intent pursue EE while others do not.