Previous researches about the Person-Environment Fit were mainly based on the points of view of Person-Organization Fit and Person-Job Fit. Researches based on the points of view of Person-Supervisor Fit (P-S Fit) and Person-Workgroup Fit (P-G Fit) was less made. But nowadays, more and more companies adopt team approach for the organization of the main mold of operation. How to establish a harmonious group and enhance group¡¦s and individual performance becomes an important issue. The main purpose of this research is base on Fit Theory to examine Person-Supervisor Fit and Person-Workgroup Fit between crew, their supervisor and their coworker in every flight. In this study, Person-Supervisor Fit and Person-Workgroup Fit were defined as independent variables; role performance, job satisfaction and perceived support were defined as dependent variables. The relationship between independent and dependent variable are deeply discussed. There are 136 pairs of questionnaires surveyed by employees and their supervisors. Supervisor Leadership Profile (SLP) and Workgroup Characteristics Profile (WCP) were reduced to 16 of 25 statements as Q ranking items, and Q methodology was applied for measuring P-S Fit and P-W Fit. Regression analysis was used to further explore the dependent variable on the independent variable's influence. The result indicate that¡GFirst, employee with high P-G Fit, has more job satisfaction, the correlation between P-G Fit and job satisfaction is significant; second, employee with high P-S Fit, has more perceived supervisor support, the correlation between P-S Fit and perceived supervisor support is significant; third, employee with high P-G Fit, has more perceived coworker support, the correlation between P-G Fit and perceived coworker support is weak significant. This research further represents the direction of future research and practical meaning of management.

Knowledge has been recognized as an important resource that should be carefully managed in order to enhance organizational competitiveness. Therefore, it is important to manage knowledge resources that have been learned and stored in organizations. Several scholars in the public administration literature have examined whether public service motivation (PSM) can help employees share their knowledge in ways that contribute to the effective functioning of public organizations. However, the mechanisms by which PSM influences individuals’ propensity to share knowledge have not been clarified by past research. Against this background, at first, this study contributes to understanding the relationship between PSM and knowledge sharing by applying self-determination theory with a logical insight of the intrinsic knowledge sharing motivation process. This study also examined that relationship by testing three competing psychological mechanisms based on person-environment (P-E) fit theory: (1) person-group (P-G) fit, (2) person-job (P-J) fit, and (3) person-supervisor (P-S) fit. The research questions for this study are as follows: Do individuals with higher levels of PSM have a higher propensity toward knowledge sharing? Does the congruence between employees and their work environment increase employees’ knowledge sharing behavior? Do PSM-driven employees have higher willingness to fit in the work environment? Does P-E fit theory help explain the causal relationship between PSM and knowledge sharing? Based on primary data of 1,094 occupationally diverse employees working in 33 local governments in South Korea, the current study found that caution should be exercised when making claims regarding the effects of PSM on individuals’ propensity to share knowledge and that greater emphasis should be placed on ways public sector organizations can foster P-G fit and P-J fit. However, this study also found that the relationship between PSM and knowledge sharing is not mediated by the extent to which employees perceive that their values are congruent with those of their supervisors. Keywords: public service motivation (PSM), person-environment fit (P-E fit), person-group fit (P-G fit), person-job fit (P-J fit), person-supervisor fit (P-S fit), knowledge sharing