Happy work: Improving enterprise human resource management by predicting workers' stress using deep learning.

ABSTRACT: Recently, workers in most enterprises suffer from excessive occupational stress in the workplace, which negatively affects workers' productivity, safety, and health. To deal with stress in workers, it is vital for the human resource management (HRM) department to manage stress effectively, bridging the gap between management and stressed employees. To manage stress effectively, the first step is to predict workers' stress and detect the factors causing stress among workers. Existing methods often rely on the stress assessment questionnaire, which may not be effective to predict workers' stress, due to 1) the difficulty of collecting the questionnaire data, and 2) the bias brought by workers' subjectivity when completing the questionnaires. In this paper, we aim to address this issue and ac

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC9007354 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature