In the context of China's construction of an innovative country, incentive policy has been an important means of spurring scientific and technological workers' innovation involvement. However, the suppression of innovation caused by certain policies has led to discussions about the "real" effect of incentive policies for scientific and technological personnel. In response, based on social cognitive theory, a multi-dimensional relationship model is constructed. This model links policy perceptions, work values, and innovation involvement, explaining this problem at a micro level. Taking the self-reported data of 352 front-line science and technology workers in 6 regions including Beijing, Shanghai, Zhejiang, Shandong, and Hubei as samples, the structural equation model is used to conduct hypothesis testing. The results find that: (1) The perception of incentive policies includes resources allocation perception, evaluation-oriented perception, and economic return perception. (2)The perception of resource allocation for science and technology workers has a positive impact on innovation vigor, innovation absorption, and innovation dedication; evaluation-oriented perception has a positive impact on innovation vigor and innovation dedication; perception of economic returns only has a positive impact on innovation vigor. (3) Work orientation is an intermediary "bridge" between the perception of incentive policies and innovation involvement. The perception of resource allocation can promote the calling orientation, and enhance innovation vigor, innovation dedication, and innovation absorption. The evaluation-oriented perception can promote the career orientation, upgrade innovation vigor and innovation dedication. The perception of economic return can reduce the job orientation and drive higher innovation vigor. Finally, corresponding management suggestions are put forward.
$author.xingMing_EN. The Perception of Incentive Policies and Innovation Involvement on Scientific and Technological Workers: The Role of Work Value Orientation[J]. Studies in Science of Science, 2021, 39(4): 632-643.