Knowledge stock, ambidextrous learning, and firm performance: Evidence from technologically intensive industries

Abstract

Purpose

This study aims to examine the relationships among knowledge stock, ambidextrous learning, and firm performance while considering the moderating effect of firm size.

Design/methodology/approach

This study uses R&D scoreboard database to produce a sample of 312 firms which operate in technologically intensive industries. To test the research hypotheses, regression analysis is employed.

Findings

The major findings are: the positive performance implications of ambidextrous learning; knowledge stock as an antecedent of ambidextrous learning; the mediating role of ambidextrous learning; and firm size as a contingency factor that strengthens the influence of ambidextrous learning on firm performance.

Research limitations/implications

Owing to the scope of the research, only patent data were used to measure knowledge stock and ambidextrous learning. However, the measurement of these variables may have been influenced by the availability of patent information.

Practical implications

The findings suggest that realizing superior performance is dependent on a firm's accumulated knowledge stock and its ability to balance exploratory and exploitative learning. Large firms extract more value from ambidextrous learning than small firms.

Originality/value

This study is the first to identify the mediating role of ambidextrous learning in the relationship between knowledge stock and firm performance and to confirm that firm size moderates the relationship between ambidextrous learning and firm performance. The value of this study lies in developing a model of ambidextrous learning that includes both mediating and moderating variables.

Citation

Lee, C. and Huang, Y. (2012), "Knowledge stock, ambidextrous learning, and firm performance: Evidence from technologically intensive industries", Management Decision, Vol. 50 No. 6, pp. 1096-1116. https://doi.org/10.1108/00251741211238355