Abstract
How to enhance enterprise’s innovation performance is an important problem which is well worth thinking when the knowledge-based economy is opening up increasingly today. Taking the knowledge-intensive service enterprises as the example, we have made empirical study on how the different dimensions of dynamic capabilities, namely, sensing capability, learning capability and reconfiguring capability, affect the innovation performance of both exploration and exploitation. This study constructs and verifies a model of multi-dimensional dynamic capabilities to innovation performance using exploratory factor analysis and regression analysis. Result shows that enhancing any of sensing capability and learning capability in dynamic capabilities helps improve enterprises’ exploratory and exploitative innovation performance. Sensing capability and learning capability affect exploratory innovation performance more than exploitative innovation performance. Reconfiguring capability plays a positively significant regulating role in the relationship between sensing capability and exploratory innovation performance. Therefore, when enhancing the innovation performance, a knowledge-intensive service enterprise should not only make efforts to cultivate the sensing capability for technology and market and learning capability for external knowledge, but also enhance reconfiguring capability for both of internal and external resources to form the foundation for future competiveness. This study contributes to previous research by showing how sensing capability and learning capability affect the various dimensions of innovation performance under the regulating effects of reconfiguring capability in dynamic capabilities.
Highlights
As business innovation accelerates, the existing competitive advantages at hand are often short-lived for enterprises which have to continuously introduce new products to cope with the volatile external environment [1]
By comparing the regression coefficients of the independent variables in Model 2 and Model 6, we find that sensing capability has a greater influence on the enhancement of exploratory innovation performance (β=0.409, P
This research conducted a comparative analysis on the dimensions of dynamic capabilities and innovation performance, and the multiple regulatory impacts of reconfiguring capability
Summary
The existing competitive advantages at hand are often short-lived for enterprises which have to continuously introduce new products to cope with the volatile external environment [1]. Enterprises often find it difficult to discern whether their research and development capabilities are sufficient to meet the changes in market demands, and whether there is lack of complementary knowledge required for product development. These elements of risk and uncertainty bring challenges to business innovation [2]. Researchers have given different connotations based on their respective research viewpoints regarding the definition and dimensions of dynamic capabilities, but there is a lack of authoritative dimension classifications and measurement scales that are commonly accepted. Based on the development and research “blind spots” of previous studies, this research uses Chinese knowledge-intensive service enterprises as the sample population and focuses on the following three areas: First, to develop and validate the measurement scales for dynamic capabilities and innovation performance that are suitable for Chinese knowledge-intensive service firms; Second, to construct and validate a multi-dimensional relationship model between dynamic capabilities and innovation performance of Chinese knowledge-intensive service enterprises; Third, to explore the theoretical and management implications of the impact of the dynamic capabilities in knowledge-intensive service enterprises on innovation performance
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