Direct and configurational paths of absorptive capacity and organizational innovation to successful organizational performance

This study investigates how firms can achieve high levels of organizational performance under different configurations of absorptive capacity and organizational innovation. The study uses partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) to test relationships among dimensions of absorptive capacity, organizational innovation, and organizational performance. The results provide support for the absorptive capacity's role for organizational innovation and performance. Furthermore, different configurations of absorptive capacity and organizational innovation conditions lead to better organizational performance.

[1]  Wenpin Tsai Knowledge Transfer in Intraorganizational Networks: Effects of Network Position and Absorptive Capacity on Business Unit Innovation and Performance , 2001 .

[2]  Gerd Gigerenzer,et al.  Homo Heuristicus: Why Biased Minds Make Better Inferences , 2009, Top. Cogn. Sci..

[3]  Boris Durisin,et al.  Absorptive capacity: Valuing a reconceptualization , 2007 .

[4]  Detmar W. Straub,et al.  Common Beliefs and Reality About PLS , 2014 .

[5]  Wayne D. Hoyer,et al.  The Customer Relationship Management Process: Its Measurement and Impact on Performance , 2004 .

[6]  César Camisón,et al.  Knowledge absorptive capacity: New insights for its conceptualization and measurement☆ , 2010 .

[7]  Yu‐Shan Chen,et al.  The positive effects of relationship learning and absorptive capacity on innovation performance and competitive advantage in industrial markets , 2009 .

[8]  César Camisón,et al.  Organizational innovation as an enabler of technological innovation capabilities and firm performance , 2014 .

[9]  A. Eisingerich,et al.  Case-based asymmetric modeling of firms with high versus low outcomes in implementing changes in direction☆ , 2016 .

[10]  Edward E. Rigdon,et al.  Rethinking Partial Least Squares Path Modeling: In Praise of Simple Methods , 2012 .

[11]  Daniel A. Levinthal,et al.  ABSORPTIVE CAPACITY: A NEW PERSPECTIVE ON LEARNING AND INNOVATION , 1990 .

[12]  S. Zahra,et al.  A measure of absorptive capacity: Scale development and validation. , 2011 .

[13]  César Camisón,et al.  Does incremental and radical innovation performance depend on different types of knowledge accumulation capabilities and organizational size , 2016 .

[14]  Arch G. Woodside,et al.  The good practices manifesto: Overcoming bad practices pervasive in current research in business , 2016 .

[15]  José F. Molina-Azorín,et al.  Competitive strategy, structure and firm performance , 2010 .

[16]  M. Sarstedt,et al.  A new criterion for assessing discriminant validity in variance-based structural equation modeling , 2015 .

[17]  Cheng-Feng Cheng,et al.  Configural paths to successful product innovation , 2013 .

[18]  F. Damanpour Organizational complexity and innovation: developing and testing multiple contingency models , 1996 .

[19]  Marko Sarstedt,et al.  Segmentation of PLS path models by iterative reweighted regressions , 2015 .

[20]  S. Zahra,et al.  Absorptive Capacity: A Review, Reconceptualization, and Extension , 2002 .

[21]  José L. Roldán,et al.  Prediction-oriented modeling in business research by means of PLS path modeling: Introduction to a JBR special section , 2016 .

[22]  Luis M. Molina,et al.  Validation of an instrument to measure absorptive capacity , 2011 .

[23]  Murad Ali,et al.  The mediating role of an innovative culture in the relationship between absorptive capacity and technical and non-technical innovation , 2016 .

[24]  Anderson Konan Seny Kan,et al.  On the Use of Qualitative Comparative Analysis in Management , 2016 .

[25]  Alois Ganter,et al.  Configurational paths to organizational innovation: qualitative comparative analyses of antecedents and contingencies , 2014 .

[26]  Joseph F. Hair,et al.  On the Emancipation of PLS-SEM: A Commentary on Rigdon (2012) , 2014 .

[27]  Chih-Chiang Chen,et al.  Knowledge sharing, absorptive capacity, and innovation capability: an empirical study of Taiwan's knowledge-intensive industries , 2007, J. Inf. Sci..

[28]  Marko Sarstedt,et al.  PLS-SEM: Indeed a Silver Bullet , 2011 .

[29]  D. Jiménez-Jiménez,et al.  Innovation, organizational learning, and performance , 2011 .

[30]  J. Cegarra-Navarro,et al.  The Effect of Absorptive Capacity on Innovativeness: Context and Information Systems Capability as Catalysts , 2010 .

[31]  Peer C. Fiss Building Better Causal Theories: A Fuzzy Set Approach to Typologies in Organization Research , 2011 .

[32]  Marko Sarstedt,et al.  An assessment of the use of partial least squares structural equation modeling in marketing research , 2012 .

[33]  F. Damanpour Organizational Innovation: A Meta-Analysis Of Effects Of Determinants and Moderators , 1991 .

[34]  Justin J. P. Jansen,et al.  Managing Potential and Realized Absorptive Capacity: How Do Organizational Antecedents Matter? , 2005 .

[35]  Marko Sarstedt,et al.  Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research , 2014 .

[36]  Jin Chen,et al.  Perspective of technological innovation and technology management in China , 1998 .

[37]  J. Roldán,et al.  Absorptive capacity, innovation and cultural barriers: A conditional mediation model , 2014 .