EconPapers    
Economics at your fingertips  
 

Asymmetric modeling of organizational innovation

Jose-Luis Hervas-Oliver, Francisca Sempere-Ripoll and Iván Arribas ()

Journal of Business Research, 2015, vol. 68, issue 12, 2654-2662

Abstract: 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.

Keywords: fs/QCA; Asymmetric methods; Organizational innovation; Product innovation; Process innovation; Resource-based view (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3) Track citations by RSS feed

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0148296315001848
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:jbrese:v:68:y:2015:i:12:p:2654-2662

DOI: 10.1016/j.jbusres.2015.04.005

Access Statistics for this article

Journal of Business Research is currently edited by A. G. Woodside

More articles in Journal of Business Research from Elsevier
Bibliographic data for series maintained by Haili He ().

 
Page updated 2020-09-08
Handle: RePEc:eee:jbrese:v:68:y:2015:i:12:p:2654-2662