Asymmetric modeling of organizational innovation

This study revisits the theory, data, and analysis in Hervas-Oliver and Sempere-Ripoll (2014) and applies fuzzy-set qualitative comparative analysis (fs/QCA) to organizational innovation effects and the influence on them of technological innovations. The influence of technological innovations (product and process) on organizational innovation and its effects is an inconclusive debate. Using fuzzy set comparative qualitative analysis (fs/QCA) on Hervas-Oliver and Sempere-Ripoll’s (2014) 9,369 organizational innovators, the present study offers more complex and nuanced antecedent conditions relating to organizational innovation beyond Hervas-Oliver and Sempere-Ripoll (2014) analysis based on traditional multiple regression symmetric method. This present study finds different sufficient configurations or combinations of causal antecedent conditions which improve the importance of organizational innovation effects. New evidence from fs/QCA extends our knowledge about the impact of technological innovation on the importance of organizational innovation effects, correcting and extending previous incomplete and myopic results based on symmetric (regression) methods.