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This paper aims to identify the determining factors for the financial performance (FP) of social enterprises in an emerging country, in this case Brazil.

This paper identifies the determinants of the FP of social enterprises in Brazil using the resource-based view as a theoretical lenses and the quantitative method (n = 601) of logistic regression, analyzing the importance of nine variables related to SEs.

The findings refer to practical contributions (which show how SEs should focus and allocate their resources to maximize FP) and theoretical contributions linked to entrepreneurship literature (by differentiating the results of this work from the literature on commercial entrepreneurship in terms of resources), social entrepreneurship literature (by presenting the resources that determine their FP), business literature, entrepreneurial finance and entrepreneurship in emerging economies.

This work represents a novelty from a methodological point of view, filling the gap regarding the lack of studies that apply a quantitative methodology to a large sample and analyze several different variables when most studies analyze only one factor related to the performance of an organization. It also fills the gap in entrepreneurship studies that use some theoretical lenses. This work is also a pioneer in analyzing the variables involved, such as market orientation, technologies and impact measurement in social entrepreneurship. As this work uses data from a secondary sample, there is the limitation of not choosing the analyzed variables. Even though there were many variables in the sample, it was impossible to consider some variables, referring to various aspects of resources and performance. For this same reason, the social performance of SEs, which is of fundamental importance within the objectives of any organization of this type, was not analyzed and may be a suggestion for future work.

The coronavirus disease (COVID-19) pandemic generated a worldwide financial crisis by impacting several links of the supply chain, however companies can take advantage by quantitatively measuring the disruptive impacts.

This study sought to develop the failure mode and effect analysis and supply chain resilience (FMEA-SCR), a hybrid tool developed using a potential failure mode and effect analysis (FMEA) applied to supply chain resilience (SCR) and taking into account the capability factors and business processes.

In order to validate, the proposed model was applied into two different organizational study cases: an university and a cooperative managing urban solid wastes with recyclable potential (MSWRP). Through the procedures described here any organization can understand and assess in a simplified way the impacts over their supply chain generated by such a crisis.

This study synthesizes three different procedures into a single method called FMEA-SCR, allowing organizations to understand and assess in a simplified way, the impacts over their supply chain generated by COVID-19. To this end, it brought together the studies developed by Rajesh and Ravi (2015) and Curkovic et al. (2015), on possible causes of disruptions in SC, the capability factors of Pettit et al. (2010) used by organizations to mitigate the effects of disruptions, besides Lambert's and Croxton (2005) business processes, thus weaving a method that allows organizations to visualize, analyze and classify the pandemic impacts over their supply chain.