Unraveling the Dimensions of Dynamic Capabilities: An Empirical Path Analysis of Chinese Enterprises

Authors

  • Li Wei Author
  • Jing Chen Author
  • Ming Liu Author

Keywords:

Dynamic capabilities, Path analysis, Chinese enterprises, Organizational performance, Innovation, Market responsiveness, Resource reconfiguration, Structural equation modeling, Moderating factors, Competitive advantage

Abstract

This paper conducts an empirical investigation into the dimensions of dynamic capabilities within the context of Chinese enterprises, employing path analysis to unravel the intricate relationships among various components. Dynamic capabilities, characterized by an organization's ability to adapt, innovate, and reconfigure resources in response to changing environments, are increasingly recognized as critical drivers of competitive advantage and organizational performance. Drawing upon a comprehensive review of literature and empirical data collected from a sample of Chinese enterprises, this study identifies and examines key dimensions of dynamic capabilities, including sensing, seizing, and reconfiguring capabilities. Through rigorous statistical analysis, including exploratory factor analysis and structural equation modeling, we assess the interplay between these dimensions and their respective impacts on firm-level outcomes such as innovation, market responsiveness, and financial performance. Furthermore, we investigate moderating factors such as organizational culture, leadership styles, and industry dynamics that may influence the effectiveness of dynamic capabilities in the Chinese context. Our findings contribute to both theoretical understanding and managerial practice by shedding light on the specific mechanisms through which dynamic capabilities drive organizational success in a rapidly evolving market environment like China. Moreover, this research offers practical insights and recommendations for Chinese enterprises seeking to enhance their dynamic capabilities and sustain competitive advantage amidst uncertainty and complexity.

Published

2019-01-28

Issue

Section

Articles