Empirical study on big data of workplace spirituality theory method and computational simulation

Autor: EnWei Cao, Jim Green
Rok vydání: 2020
Předmět:
Zdroj: Applied Mathematics and Nonlinear Sciences. 5:405-414
ISSN: 2444-8656
Popis: Workplace spirituality, job engagement, and perceived organisational support have become the themes over which heated discussion is held in the fields of management and public research. With the development of science and technology and the arrival and upgrading of burgeoning technologies, the competition among enterprises has been aggravated, while the employee's job engagement has become one of the key aspects to keep the competitive edge. By taking workplace spirituality as the premise variable of job engagement and perceived organisational support, the influences of workplace spirituality, perceived organisational support, and job engagement are discussed in this paper. In addition, by taking perceived organisational support as the regulated variable, a theoretical model was built and the regulating effect of perceived organisational support on workplace spirituality and job engagement was discussed. The empirical data of the model was obtained through 187 questionnaires. Data analysis and research hypothesis was implemented through SPSS23.0, theory method, and computational simulation. In sum, workplace spirituality and job involvement are remarkable and are positively associated with each other. Perceived organisational support plays a role in regulating the job engagement. These results provide new perspectives for exploring unemployment problems existing due to lack of job engagement. The organisation can intervene in employees’ work by cultivating workplace spirituality.
Databáze: OpenAIRE