The personality congruence of supervisors and subordinates and its influence on work outcomes is a relatively new topic in social and behavioral sciences. Most well-known personality theory is Big Five that includes openness, conscientiousness, neuroticism, extraversion and agreeableness traits. LMX theory focuses on the mutual relationship between a supervisor and a subordinate. There is a gap in the literature regarding the mediating role of LMX perceptions of subordinates on the relationship between personality congruence of supervisors and subordinates and affective commitment (AC). The purpose of this cross-sectional design was first to explore the direct relationship between supervisors and subordinates personality congruence and AC of subordinates. The second purpose of this study was to explore the role of LMX as a mediator between the personality congruence of supervisors and subordinates and AC of the subordinates. A cluster sampling method was used to gather 400 supervisor-subordinate dyads from 3 technopolises in Ankara, who completed self-reported questionnaires. A technopolis is a technology science park. Polynomial regression analysis was conducted to measure the congruence level of dyads' personality traits and structural equation modeling was used to analyze the mediating effect of LMX. Results revealed that, LMX has no mediating effect on personality congruence and AC. The results also revealed that there is a significant relation between the agreeableness congruence of supervisors and subordinates, and AC. This information can be used by organizations by pairing up agreeable dyad members to increase affective commitment. The findings of this study may create positive social change by promoting optimum functioning organizations that have committed employees which would affect the society and economy in a positive way.
| Identifer | oai:union.ndltd.org:waldenu.edu/oai:scholarworks.waldenu.edu:dissertations-6201 |
| Date | 01 January 2018 |
| Creators | Inanc, Ebru Evrensel |
| Publisher | ScholarWorks |
| Source Sets | Walden University |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Walden Dissertations and Doctoral Studies |
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