Research on the work value structure and dimension order of network generation employees by using SPSS

Chaomin, Gao

doi:10.1145/3473714.3473809

Cited by 1 publication

(1 citation statement)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…POTI not only promotes employees' psychological elasticity but also enhances their subjective well-being. Occupational values, the embodiment of personal values in the professional field, make employees satisfied with their work and promote the POTI effect [ 16 – 20 ]. Therefore, it is of great significance to implement POTI among employees guided by the realization of occupational values.…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence-Based Prediction of Individual Differences in Psychological Occupational Therapy Intervention Guided by the Realization of Occupational Values

Jin

Pang

et al. 2022

Occupational Therapy International

View full text Add to dashboard Cite

As the competition between enterprises intensifies, employees have witnessed a decline of psychological health year by year and severe anxiety and depression. To ensure the normal work of employees, it is important to implement psychological occupational therapy intervention (POTI). The previous studies on corporate occupational values focus on the behavioral variables and attitude variables related to occupations. The research paradigm does not suit a specific group of employees. Therefore, this paper explores the individual differences in POTI guided by the realization of occupational values. For a specific group of employees, the correlations of the psychological problems with job attitude, job involvement, and psychological health level were reasoned logically, a theoretical model was established, and the full-model map was plotted to illustrate the influence of the realization of occupational values over POTI. Then, the evaluation data on the psychological intervention effect of 2,800 employees were explored based on multikernel learning, and an individual difference prediction model was constructed through multikernel learning. Finally, the predicted results of different groups of employees were compared, revealing the effectiveness of our algorithm.

show abstract

Section: Introductionmentioning

confidence: 99%