Job embeddedness and its connection with person-organization fit among Saudi Arabian employees

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Job embeddedness and person-organization fit are two constructs that reflect employees’ attachment toward their organizations. While job embeddedness enhances employees’ affection, person-organization fit involves the value convergence with the organization. Therefore, the two constructs facilitate continuance in employment. The study attempted to identify the relationship between job embeddedness, person-organization fit, and human capital among the Saudi workforce. Data for the study were collected from 190 full-time employees employed in various organizations in Saudi Arabia. Convenient sampling was used to collect data. The respondents belong to different demographic categories. The data were analyzed using SPSS and structural equation modeling (SEM) techniques. Three hypotheses were formulated for the study to denote the relationships between the variables. For all the hypotheses formulated in the study, t-values (0.71, 0.88, and 0.84) showed a five percent level of significance. The research results thus indicated a significant positive relationship between job embeddedness, person-organization fit, and human capital. The relationship between the constructs and demographic variables was also examined. The findings are significant as the identified constructs help dealing with turnover intention, which is a bane for any organization. Therefore, the results could be used to identify retention strategies.

Acknowledgments
This publication was supported by the Deanship of Scientific Research at Prince Sattam Bin Abdulaziz University, Alkharj, Saudi Arabia, under the Specialized Research Grant program with Grant No- 2020/02/17318.

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    • Figure 1. Structural equation modeling
    • Table 1. Dimensions of JE
    • Table 2. Dimensionality of P-O fit
    • Table 3. Demographics
    • Table 4. Reliability and validity measures
    • Table 5. Discriminate validity
    • Table 6. Fit index
    • Table 7. Descriptive statistics
    • Table 8. Hypothesis testing
    • Table 9. Data and t-value based on demographics
    • Table 10. Data and ANOVA based on qualification
    • Conceptualization
      Shaha Faisal
    • Data curation
      Shaha Faisal
    • Formal Analysis
      Shaha Faisal
    • Investigation
      Shaha Faisal
    • Methodology
      Shaha Faisal
    • Software
      Shaha Faisal
    • Supervision
      Shaha Faisal
    • Validation
      Shaha Faisal
    • Visualization
      Shaha Faisal
    • Writing – original draft
      Shaha Faisal
    • Writing – review & editing
      Shaha Faisal