Microfoundations of innovation: employee dynamic capabilities and organizational innovation performance in software house
Muhammad Usman Siddqiue, Attique Ur Rehman, Muhammad Zia Aslam, Sarfraz ZamanPurpose
In today's rapidly evolving technological environment, software firms face increasing pressure to innovate and sustain competitive advantage. Grounded in Dynamic Capabilities Theory and a multilevel perspective, this study examines how employee-level capabilities contribute to organizational innovation performance in Pakistani software houses. Specifically, the study investigates how employee learning agility develops employee dynamic capability, which subsequently enhances employee innovative work behavior, organizational dynamic capability, and organizational innovation performance.
Design/methodology/approach
A time-lagged, multilevel research design was employed to reduce common method bias and capture cross-level relationships. Data were collected in two waves from Pakistani software houses using simple random sampling. At Time 1, responses were obtained from 389 employees measuring employee learning agility, employee dynamic capability, and innovative work behavior. At Time 2, data were collected from 91 managers and supervisors measuring organizational dynamic capability and innovation performance. All constructs were assessed using validated seven-point Likert scales adopted from prior studies. Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed to assess the measurement and structural models, while aggregation statistics (ICC(1), ICC(2), and rwg) confirmed the appropriateness of organizational-level aggregation.
Findings
The findings indicate that employee learning agility significantly enhances employee dynamic capability. Employee dynamic capability positively influences both employee innovative work behavior and organizational dynamic capability. Furthermore, organizational dynamic capability significantly improves innovation performance and mediates the relationship between employee dynamic capability and innovation performance. The results also confirm that employee dynamic capability mediates the relationship between employee learning agility and innovative work behavior, highlighting its central role in translating individual learning into innovation-related behaviors.
Practical implications
The findings suggest that software firms should invest in developing employee learning agility and dynamic capabilities through continuous learning, capability development, and knowledge-sharing initiatives. Strengthening these capabilities enables employees to exhibit greater innovative work behavior while enhancing organizational adaptability and innovation performance in rapidly changing technological environments.
Originality/value
This study extends Dynamic Capabilities Theory by integrating the microfoundations perspective with multilevel theory to explain how employee-level capabilities evolve into organizational innovation outcomes. By simultaneously examining employee innovative work behavior, organizational dynamic capability, and innovation performance within a multilevel framework, the study responds to recent calls for cross-level research and provides empirical evidence from knowledge-intensive software firms in an emerging economy.