생성형 AI 활용을 위한 기업교육 모듈 다양성이 직급별 동기부여와 직무성과에 미치는 영향

Abstract

The purpose of this study is to analyze the Generative AI education module selected according to the position of the members of the organization by dividing it into job common areas and job specialization areas, and to analyze the difference in the influence of the selected AI education module on motivation and job performance. The methodology of this study was analyzed by a structural equation model. In the results of this study, it was confirmed that the variables of extrinsic motivation had an effect on intrinsic motivation variables, and intrinsic motivation had an effect on job integrity. When designing Generative AI education within an organization, a differentiated design that reflects the expectations and roles of each position is required, rather than simply applying the job common education module collectively. The theoretical implications deepened the theory of motivation, job design, and human resource theory. For practical implications, it is necessary to design a customized Generative AI education program that reflects the job characteristics and expectations of members.