Analysis of satisfaction degree of medical science and technology innovation talents growth environment in Xinjiang based on KANO model

Abstract

Objective This study uses the KANO model to evaluate the satisfaction of the growth environment of medical science and technology innovation talents in Xinjiang, comprehensively understand the needs of talents for the growth environment, and propose specific countermeasures for the improvement and related direction of Xinjiang's science and technology innovation talent growth environment. Methods Science and technology innovation talents from three tertiary hospitals in Xinjiang were selected as research subject, questionnaire survey was conducted to understand their basic information, and to confirm the talents growth environment for the current attitude according to the structural KANO model questionnaire includes rules. Results The KANO model was used to determine five key indicators that have high sensitivity to the satisfaction of Xinjiang medical science and technology innovation talents. They are research funding, scientific research facilities, scientific research reward mechanism, scientific research team cooperation, and academic exchanges domestically and internationally. Conclusions According to the key influencing factors of Xinjiang medical science and technology innovation talent satisfaction, improving and optimizing the corresponding indicators can effectively improve the overall quality of the technological innovation talent growth environment and improve the satisfaction of scientific and technological talents. Key words: KANO model; Medical Science; Scientific talents; Satisfaction