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

Taming the snake in paradise: combining institutional design and leadership to enhance collaborative innovation

The growing expectations to public services and the pervasiveness of wicked problems in times characterized by growing fiscal constraints call for the enhancement of public innovation, and new research suggests that multi-actor collaboration in networks and partnerships is superior to hierarchical and market-based strategies when it comes to spurring such innovation. Collaborative innovation seems ideal as it builds on diversity to generate innovative public value outcomes, but there is a catch since diversity may clash with the need for constructing a common ground that allows participating actors to agree on a joint and innovative solution. The challenge for collaborative innovation – taming the snake in paradise – is to nurture the diversity of views, ideas and forms of knowledge while still establishing a common ground for joint learning. While we know a great deal about the dynamics of the mutually supportive processes of collaboration, learning and innovation, we have yet to understand the role of institutional design and leadership in spurring collaborative innovation and dealing with this tension. Building on extant research, the article draws suitable cases from the Collaborative Governance Data Bank and uses Qualitative Comparative Analysis to explore how multiple constellations of institutional design and leadership spur collaborative innovation. The main finding is that, even though certain institutional design features reduce the need for certain leadership roles, the exercise of hands-on leadership is more important for securing collaborative innovation outcomes than hands-off institutional design

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