An Empirical Study on Firm Dynamic Capabilities Influencing Innovation Performance

2010 ◽  
Author(s):  
Chen Bao-jie
Keyword(s):  
Empirical Study ◽  
Dynamic Capabilities ◽  
Innovation Performance

Comprehending a knowledge framework as a source of dynamic capabilities in IJVs through PLS-SEM

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Madhavi Kapoor ◽  
Vijita Aggarwal
Keyword(s):  
Knowledge Transfer ◽  
Absorptive Capacity ◽  
Structural Equation ◽  
Dynamic Capabilities ◽  
Global Market ◽  
Innovation Performance ◽  
International Joint Ventures ◽  
Mediation Effect ◽  
Equation Modeling ◽  
Content Type

Purpose This study aims to investigate the relationship among knowledge transfer enablers, knowledge transfer process, absorptive capacity and innovation performance in the context of Indian international joint ventures (IJVs). These elements are woven with the thread of dynamic capabilities theory (DCT) into an integrated framework. Design/methodology/approach Data analysis is conducted on a quantitative survey of 196 IJVs with partial least squares structural equation modeling as the statistical technique. Findings Co-learning strategy, collaborative trust culture, information technology-based resources and systems and organizational structural design are found to be significant knowledge transfer enablers. Absorptive capacity has a complementary partial mediation effect on the positive relationship between knowledge transfer and innovation performance of Indian IJVs. Research limitations/implications The study has pioneered in explicating the criticality of IJV’s internal dynamics to cope with the global market dynamism in a much needed Indian context. Practitioners must focus on building dynamic capabilities in IJVs to make them sustainably competitive, as proposed and evaluated by this study. Further, IJV managers need to strategize their resources, routines and structure dynamically to foster knowledge transfer and innovativeness. Originality/value The comprehensive model on DCT offered by this study is rare to match in literature with a completely new context, which is the need of the hour.

Multigroup analysis of higher-order model of knowledge variables in the context of global ventures through PLS-SEM

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vijita S. Aggarwal ◽  
Madhavi Kapoor
Keyword(s):  
Knowledge Transfer ◽  
Dynamic Capabilities ◽  
Group Analysis ◽  
Test Group ◽  
Organizational Factors ◽  
Innovation Performance ◽  
Primary Data ◽  
Future Research ◽  
Content Type ◽  
Knowledge Intensive

PurposeThe study purports at investigating the effect of organizational factors (strategy, culture, information technology and structure) on knowledge transfer and innovation performance in the context of Indian International joint ventures (IJVs) of varied ages and industries. All the variables are woven together in the framework of dynamic capabilities theory.Design/methodology/approachPLS-SEM was used to analyze the primary data collected from IJVs. The disjoint two-stage approach was applied to check the mediation in the model. The multigroup technique was deployed to test group-differences in the sample.FindingsThe four organizational factors, combined as a construct, are seen to have a positive impact on knowledge transfer, which facilitates innovation performance. But mediation analysis revealed the insignificant indirect relationship of organizational factors with innovation through knowledge transfer for the total sample. In-depth group analysis revealed that these results differ between young and mature IJVs and knowledge-intensive and non-knowledge intensive industries.Research limitations/implicationsThe number of organizational factors is limited to four, which can be further increased. Longitudinal studies for investigating the formation of dynamic capabilities can be the future research direction.Originality/valueThe research has provided hierarchical analysis for organizational factors, knowledge transfer and innovation performance with multigroup industrial and age-wise analysis of Indian IJVs, which is still unplumbed in international business literature.

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