Abstract
Acquiring and combining heterogeneous knowledge resources across organizational boundaries are an important path for the success of enterprises’ innovation. From the perspective of the relation attributes between knowledge elements, this paper divides knowledge cross-border searching into two types: domain knowledge searching and architectural knowledge coupling searching. Then, we construct a system dynamics model and use Vensim PLE software to carry out simulation analysis to explore the differential mechanisms of knowledge cross-border searching influence firms’ dual innovation in the context of digital transformation. The analysis results show that domain knowledge searching positively affects firms’ iterative innovation, while there is an inverted U-shaped relationship between architectural knowledge searching and firms’ disruptive innovation, indicating that different types of knowledge cross-border searching have differential effects on firms’ dual innovation. The simulation results also address that digital resources can promote enterprises' dual innovation in the process of knowledge cross-border searching. The research results reveal that the internal laws of knowledge cross-border searching affect enterprises' dual innovation in the context of digital transformation and provide a theoretical reference for enterprises to effectively use digital technology to adopt knowledge searching activities.
Highlights
In the era of digital economy, firms actively combine a large amount of heterogeneous knowledge resources from their partners to achieve their innovation goals [1,2,3]
Whether organizations searching for different types knowledge elements have differential impacts on firms’ disruptive innovation and iterative innovation in the context of digital transformation? How can organizations effectively use various resources to achieve innovation success? System dynamics is a methodology for understanding the dynamic behavior of a complex system that are characterized by accumulations, feedback loops, time delays, and nonlinearity [8]. ereby, this paper uses system dynamics models and simulation analysis methods to explore the differential mechanisms of knowledge cross-border searching on enterprises’ disruptive innovation and iterative innovation in the context of digitalization, to reveal the internal laws of knowledge searching affecting organizational innovation and provide a reference for enterprises to make full use of knowledge resources from ecological partners
In order to construct the system dynamics model that knowledge cross-border searching affects firms’ dual innovation, we propose the following hypothesis: In the process of digital transformation, with the use of digital resources such as big data, Internet of ings, and cloud computing, firms will inevitably enhance their digital strategic ability to make foresight use of digital technology to deal with the dynamic changes in environment, to develop breakthrough technology and iterative products [11, 12], thereby enhancing their innovation results. erefore, we can propose that: Digital resources
Summary
In the era of digital economy, firms actively combine a large amount of heterogeneous knowledge resources from their partners to achieve their innovation goals [1,2,3]. Huawei builds a global R&D network to extensively search for knowledge elements to realize new technology creation Internet companies such as Xiaomi and Tencent solicit customer opinions and adopt the innovative modes of ‘imitating one generation, developing one, and preresearching one generation’ to achieve great success. E digital ecosystem has broken down the limitations of organizational boundaries and technological distance and provided a large number of opportunities for firms to search for heterogeneous knowledge elements to achieve innovation success. Ereby, this paper uses system dynamics models and simulation analysis methods to explore the differential mechanisms of knowledge cross-border searching on enterprises’ disruptive innovation and iterative innovation in the context of digitalization, to reveal the internal laws of knowledge searching affecting organizational innovation and provide a reference for enterprises to make full use of knowledge resources from ecological partners Whether organizations searching for different types knowledge elements have differential impacts on firms’ disruptive innovation and iterative innovation in the context of digital transformation? How can organizations effectively use various resources to achieve innovation success? System dynamics is a methodology for understanding the dynamic behavior of a complex system that are characterized by accumulations, feedback loops, time delays, and nonlinearity [8]. ereby, this paper uses system dynamics models and simulation analysis methods to explore the differential mechanisms of knowledge cross-border searching on enterprises’ disruptive innovation and iterative innovation in the context of digitalization, to reveal the internal laws of knowledge searching affecting organizational innovation and provide a reference for enterprises to make full use of knowledge resources from ecological partners
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