Abstract
This study utilized mixed methods approach particularly explanatory sequential design, it investigated the influence of organizational cynicism and job embeddedness towards turnover intentions of teachers coming from private HEIs in Region XI where adapted survey questionnaires were utilized in gathering quantitative data and as for its qualitative data it used in-depth interview (IDI) and focus group discussion (FGD). The participants of the study were faculty members who work in higher education institutions in the Davao Region. Further, the study used three adapted survey tools with a five-point Likert scale and an interview guide was used to generate the data relative to the research questions. The mean, standard deviation, and multiple linear regression were used as statistical tools while in the qualitative strand thematic analysis was employed. Moreover, data integration was used for data integration. The quantitative data was first generated and after which qualitative data were collected. Results showed that Organizational Cynicism and Turnover Intention were rated low while Job Embeddedness is high. It was found that organizational cynicism and job embeddedness significantly influence turnover intentions of teachers. In the qualitative phase of the study, standpoints of the participants on the variables and their relationship revealed five themes namely Confirmed Low Rating of Organizational Cynicism, Confirmed High Rating of Job Embeddedness, Confirmed Low Rating of Job Turnover Intentions, Confirmed Significant Influence of Organizational Cynicism to Turnover Intention, and Confirmed Significant Influence of Job Embeddedness to Turnover Intention. Lastly, the data integration analysis show that the following pairs of quantitative and qualitative data denote agreement or confirmation. KEYWORDS: Education, educational leadership, organizational cynicism, job embeddedness, turnover intention, explanatory sequential design, Philippines
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More From: EPRA International Journal of Multidisciplinary Research (IJMR)
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