Bouncing back from a sudden-onset extreme event: exploring retail enterprises’ resilience capacity

ABSTRACT

A feature of recent decades has been the sudden and unexpected occurrence of catastrophic events seriously affecting people and territories. From an economic viewpoint, this has led scholars to pay increasing attention to factors and determinants taking enterprises face-to-face with extreme and catastrophic events, through the resilience lens. In this context, this study aims to contribute to the literature on resilience to natural disasters which is currently still limited in the business and management fields, both theoretically and empirically. This is particularly true as regards retailing, despite the key role played by retail in the aftermath and recovery periods following on from sudden-onset extreme events such as earthquakes.

The 2012 Emilia earthquake is a case in point with which to explore small retail enterprises’ resilience to sudden-onset disasters. Specifically, our empirical research consisted of administering a structured questionnaire to a sample of small retail enterprises which experienced an earthquake. The unit of analysis adopted was the retail enterprise. Data was processed applying Covariance-Based Structural Equation Modeling (CB-SEM). The structural model aims to verify the impact of sales capabilities, market orientation and networking capabilities on the resilience capacity of retail enterprises affected by an extreme event, controlling for certain financial indicators such as suppliers’ payment timeframes and the use of debt capital, as well as respondent age and gender. The findings show that all the antecedents analysed exert a significant and positive effect on small retail enterprises’ resilience capacity and ability to bounce back from natural disasters. Moreover, suppliers’ payment timeframes showed a direct relationship with retail enterprises’ resilience capacity, with lower use of debt capital equalling higher retail business resilience. Age and gender do not exert any significant effect. Scientific, managerial and public policy implications are derived.

Abbreviation: SEM     

Beyond the “ivory tower”. Comparing academic and non-academic knowledge on social entrepreneurship

The increasing relevance of societal challenges has recently brought social entrepreneurship to the fore due to its capacity to leverage entrepreneurial processes to achieve social value while ensuring profits. In this study, we apply an experimental research method to analyse the concept of social entrepreneurship comprehensively. More specifically, we develop bibliometric analysis and web crawling techniques to gather information related to social entrepreneurship from Scopus and Wikipedia. We conduct a comparative network analysis of social entrepreneurship’s conceptual structure at academic and non-academic levels. This analysis has been performed considering scientific articles’ keywords and Wikipedia webpages’ co-occurrences, enabling us to identify four different thematic clusters in both cases. Moreover, plotting the centrality and density of each cluster on a bi-dimensional matrix, we have sketched a strategic diagram and provided the thematic evolution of this research topic, based on the level of interaction among clusters, and the degree of cohesion of keywords in each cluster. This paper represents one of the first attempts in the entrepreneurship literature to shed light on the conceptual boundaries of a research topic based on the analysis of both a scientific and an open-source knowledge database. Our results reveal similarities and discrepancies between those two different sources of knowledge, and outline avenues for future studies at the intersection between social entrepreneurship and the research domains of digital transformation, performance measurement, entrepreneurial ecosystems, and ethics. We also call for a further conceptualisation of social entrepreneurship in the face of the increasing complexity that characterises grand challenges.