创造力
心理学
知识管理
组织承诺
感知组织支持
社会心理学
计算机科学
作者
Hongying Yang,Dahui Zhou
摘要
The impact of perceived organizational support on the creativity of science-technology talents in the digital era is an important domain for fostering innovation power and the long-term competitive advantage of enterprises. The main purpose of this study is to reveal the "black box" mechanism of perceived organizational support on the creativity of science-technology talents in the digital environment, guide enterprises to attach importance to perceived organizational support and enhance the creativity of science-technology talents.Based on resource conservation theory and social exchange theory, this study took the science-technology talents of Chinese high-tech enterprises as the research object, combined 380 matching data of science-technology talents and supervisors, and used AMOS, MPLUS, and SPSS software to test all hypotheses.Perceived organizational support has a significant positive impact on the creativity of science-technology talents, affective commitment and innovative self-efficacy. Affective commitment and innovative self-efficacy have significant positive effects on the creativity of science-technology talents. Digital thinking positively moderates the relationship between perceived organizational support and affective commitment, innovative self-efficacy. Affective commitment and innovative self-efficacy play a moderated mediation role between perceived organizational support and the creativity of science-technology talents.Perceived organizational support promotes the creativity of science-technology talents through affective commitment and innovative self-efficacy, which is moderated by digital thinking. These findings not only help deepen and expand the theoretical research on perceived organizational support and creativity, but also inspire managers to guide science-technology talents to work creatively from the aspects of affective commitment, innovative self-efficacy and digital thinking.
科研通智能强力驱动
Strongly Powered by AbleSci AI