Work

How Dynamic Capabilities and Ambidextrous Learning Shape SME Innovation Performance: The Moderating Role of Exploratory and Exploitative Learning

Year: 2026

Type: article

Abstract: This study examines the differential effects of three dimensions of dynamic capabilities on innovation performance and investigates how ambidextrous learning (exploratory and exploitative learning) moderates these relationships. Drawing on survey data from 299 Chinese enterprises, we employ hierarchical regression analysis with interaction terms to test the proposed hypotheses. The results reveal that all three capability dimensions significantly enhance innovation performance, with innovative capacity exerting the strongest effect. Both exploratory and exploitative learning positively moderate the capability–performance relationships, though their effects vary across capability dimensions: exploitative learning more strongly reinforces the effect of absorptive capacity, while exploratory learning more effectively amplifies the influence of innovative capacity. These findings contribute to the dynamic capabilities literature by revealing the heterogeneous performance implications of distinct capability dimensions and demonstrating how different learning modes serve as boundary conditions that shape capability effectiveness.

Source: Systems

DOI: 10.3390/systems14020164

Authors: Yonghong Ma, Zihui Wei

Institution: Harbin Engineering University

Language: English

Topic: Innovation and Knowledge Management

Subfield: Strategy and Management

Field: Business, Management and Accounting

Domain: Social Sciences

SDGs: Industry, innovation and infrastructure, Decent work and economic growth

Open Access status: gold

Estimated APC paid: $2,896