Public service motivation of public and private employees in Chinese context: A comparative study
Bangcheng Liu, Lanying Du, Hao Wen, Bo Fan
Abstract
Bangcheng Liu, Lanying Du, Hao Wen, Bo Fan
Abstract
To investigate the public service motivation (PSM) of public and private employees in Chinese context, a comparative study is conducted with two independent samples. In Study 1, confirmatory factor analysis is implemented to test the existence of PSM based on 250 public employees. In Study 2, 247 respondents from private companies are evaluated. These studies not only provide evidence for the construct validity of PSM in Chinese context, but also demonstrate that comparatively the levels of public employees' PSM are relatively higher, especially for the attraction to policy making and commitment to public interest dimension of PSM.
OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
To investigate the public service motivation (PSM) of public and private employees in Chinese context, a comparative study is conducted with two independent samples. In Study 1, confirmatory factor analysis is implemented to test the existence of PSM based on 250 public employees. In Study 2, 247 respondents from private companies are evaluated. These studies not only provide evidence for the construct validity of PSM in Chinese context, but also demonstrate that comparatively the levels of public employees' PSM are relatively higher, especially for the attraction to policy making and commitment to public interest dimension of PSM.
Key concepts: Public service motivation, Context (archaeology), Confirmatory factor analysis, Dimension (graph theory), Construct (python library), Public service, Business, Test (biology)