Net versus combinatory effects of firm and industry antecedents of sales growth

This study examines antecedents of sales growth using a two-step mixed-method approach including analyses of net effects and combinatory effects. Based on a sample of 453 respondents from manufacturing and service firms, this article shows how the combination of structural equation modeling (SEM) and fuzzy set Qualitative Comparative Analysis (fsQCA) provides more detailed insights into the causal patterns of factors to explain sales growth. This article contributes to the extant literature by highlighting fsQCA as a useful method to analyze complex causality (specifically combinatory effects of antecedent conditions) and by discussing options regarding how this approach can be used to complement findings from conventional causal data analysis procedures that analyze net effects

Investigating total entrepreneurial activity and entrepreneurial intention in Africa regions using fuzzy-set qualitative comparative analysis (fsQCA)

This study offers a novel evaluation of the conditions for Total Entrepreneurial Activity (TEA) and Entrepreneurial Intention (EI) across 59 Sub-Saharan African regions. The analysis employs fuzzy-set Qualitative Comparative Analysis using Global Entrepreneurship Monitor (2013) survey data using five condition variables, measuring regional-level entrepreneurial attitudes and perceptions, including education level, considered against TEA and EI. This novel regional contribution identifies diversity between African countries and regions for entrepreneurial activities and its drivers, with several groups identified. This highlights a requirement for future research encompassing further countries and regions in African, and also multi-year studies that can track these issues longitudinally. The study informs knowledge and practice regarding entrepreneurial behaviour across African regions. Through examination of the different combinations of condition variables, across causal recipes, it provides understanding of variations in the socio-cultural drivers of entrepreneurial activity between regions, groups of regions, and countries, for TEA and EI

MAKING COMPARATIVE ANALYSIS COUNT

Often, when social scientists hear the phrase general knowledge they immediately start thinking in terms of relationships between abstract concepts represented in terms of variables. They have been trained to equate general knowledgewith discourse about relationships between variables. For example, a social scientistmight observe that the most economically advanced countries are also stabledemocracies and from this observation posit that there is a general relationship betweendevelopment and democracy. Thus, he or she might state, in general knowledge terms,that "economic development furthers democratic stability, as seen in the correlationbetween the variables democracy and development." In this paper, I argue that generalknowledge can come in other forms and that it is not dependent on a discourse groundedin correlations between variables