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The Influence Of Person-Job Fit, Person-Organization Fit And Organizational Support On Organizational Commitment In Educators And Educational Personnel Boyolali University Suryana, Alean Kistiani Hegy; Rahayu, Aham Ginanjar; Safitri, Unna Ria; Triatmaja, Nur Asih; Pratiwi, Yunita Niqrisah Dwi
Edunity Kajian Ilmu Sosial dan Pendidikan Vol. 3 No. 6 (2024): Edunity : Social and Educational Studies
Publisher : PT Publikasiku Academic Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57096/edunity.v3i6.250

Abstract

The purpose of this study is to investigate the impacts of organizational support, person-job fit, and person-organization fit, both separately and in combination, on organizational commitment at Boyolali University's academic and administrative personnel. Saturated sampling was used to get the data from a questionnaire, with 58 individuals in the overall sample size. This study used a case study technique in conjunction with quantitative research methodology. Using SPSS 25, the instrument data and hypothesis testing were carried out. The findings showed that, with a sig. value of 0.116>0.05 and a t-value of 1.599<t-table of 1.672, the variable (X1) Person-Job Fit had no significant impact on the variable (Y) Organizational Commitment. However, with a sig. value of 0.001<0.05 and a t-value of 3.409>t-table of 1.672, the variable (X2) Person-Organization Fit had a positive and significant effect on the variable (Y) Organizational Commitment. Additionally, with a sig. value of 0.127 > 0.05 and a t-value of 1.549 < t-table of 1.672, the variable (X3) Organizational Support had no discernible impact on the variable (Y) Organizational Commitment. With a sig. value of 0.000<0.05, the F-test showed that Organizational Support, Person-Job Fit, and Person-Organization Fit all together had a significant influence on Organizational Commitment. An adjusted R2 value of 0.750 was found in the determination test, indicating that 75% of the variance in the dependent variable can be explained by the independent factors, with the remaining 25% being impacted by other independent variables.