Mapping the institutional capital of high-tech firms: A fuzzy-set analysis of capitalist variety and export performance

By Martin R. Schneider, Conrad Schulze-Bentrop, Mihai Paunescu. 2010

648 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/fc318a19a7a6d5fa9460e1926c7782b03caa0757

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Citations in the corpus

Regional collaborations and indigenous innovation capabilities in China: A multivariate method for the analysis of regional innovation systems (2015, background): “, in hightechnology manufacturing) are ‘dependent on a conducive business environment’ (Schneider et al., 2010).”
Mapping the business systems of 61 major economies: A taxonomy and implications for varieties of capitalism and business systems research (2018, background): “…adopted the underlying logic of complementarity residing in coherent strategic or market coordination across institutional dimensions (e.g. Hall and Soskice, 2001; Taylor, 2004; Kenworthy, 2006; Akkermans et al., 2009; Hall and Thelen, 2009; Schneider et al., 2010; Schneider and Paunescu, 2012).”
Varieties of Capitalism and institutional comparative advantage: A test and reinterpretation (2016, methodology): “…to the Varieties of Capitalism literature, our results are broadly consistent with past results that have linked more complex institutional configurations that go beyond the simple LME and CME types with stronger economic growth or export performance (Kogut & Ragin, 2006; Schneider et al., 2010).”
From Typology to Taxonomy: A Configurational Analysis of National Business Systems and their Explanatory Power (2014, methodology): “While this finding mirrors those of similar analyses (e.g., Amable, 2003; Boyer, 2004; Schneider et al., 2010), the results presented in this paper extend previous contributions in two respects.”
QCA, the Truth Table Analysis and Large-N Survey Data : The Benefits of Calibration and the Importance of Robustness Tests (2014, background): “In this paper, we discuss the extent to which QCA is a suitable methodological choice for the analysis of a specific but widely used form of large-N data in the social sciences, namely survey data collected through computer-assisted telephone interviews or internet surveys.”