Organizations need to develop their resilience to foster future success to survive complex environments. This research conducts a comparative analysis to understand firms’ strategies in a “black swan” event. We use the “strategy tripod” to operationalize resilience theory and explain the configurations or pathways that lead to high organizational resilience in a crisis context. The data correspond to 1936 firms drawn from the “Enterprise Survey 2020 for Innovation and Entrepreneurship in China (ESIEC)”, and to 66 Central American firms drawn from the “World Bank 2020 Enterprise Surveys” are also analyzed. The methodological approach fuzzy set qualitative comparative analysis (fsQCA) is applied. We discuss and analyze the strategies of companies in this “new normal”; our results establish that in the case of emerging economies, organizational innovation seems to be a necessary condition for becoming an organizational resilience to a black swan crisis (finding from both cases). We also found that labor flexibility and emotional intelligence for the case of firms from China, and adequate control of the turbulence environment for the cases of Central America, were also necessary conditions for each region. We further argue that digitalization depends on access to government support for its success. China reinforces its strategies in an intensification of human resources flexibility. In addition, they are better prepared for the “black swan” crisis, allowing them to adapt quickly and generate business model innovation to mitigate the effects of the pandemic in this “new normal.” In contrast, Central America needs rapid organization for organizational resilience.
Nota bibliográficaFunding Information:
This research received external funding. BUILD?Nuevo modelo de Innovaci?n en Empresas Chinas; estrategias en tiempo de pandemia. Center for China and Asia-Pacific Studies at Universidad del Pac?fico.This article was done with the support of the Center for China and Asia-Pacific Studies at Universidad del Pac?fico (CECHAP) at Universidad del Pac?fico. We would also like to thank Jorge Pe?a Contreras for his outstanding research assistance.
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