Linking External Knowledge Search to Innovation Ambidexterity in SMEs

The purpose of this study is to investigate the effect of external knowledge search strategy on innovation ambidexterity for SMEs. In order to achieve the purpose of research, hypotheses were set up by dividing exploitative knowledge sources and exploitative knowledge. Based on the Tobit regression analysis results by using the 975 data of Science and Technology Policy Institute, this research provides four findings as follows: First, exploitative knowledge breadth positively and significantly influences innovation ambidexterity. Second, exploitative knowledge depth positively and significantly influences innovation ambidexterity. Third, explorative knowledge breadth positively and significantly influences innovation ambidexterity. Lastly, the relationship between explorative knowledge significantly influences innovation ambidexterity. The results indicate that their knowledge search strategies ware significant driver of their innovation ambidexterity. In the final conclusion section implications and limitations of research results and suggestion for future research are discussed

Ambidexterity · Business · Knowledge management · Tobit model · Computer Science · Innovation and Knowledge Management · Innovation Diffusion and Forecasting · Intellectual Capital and Performance Analysis

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