Offboarding and Performance of Employee among Health Workers in Ondo State, Nigeria

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Research ID 3YCJ7

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Abstract

In recent years, various scholars have worked on employee turnover, but this study examined offboarding and employees’ performance among health workers in Ondo State. The objectives of the study are to determine the impact of offboarding mindset and employee retention strategies on employee performance among health workers in Ondo State. The study used the survey design method. The population of the study was 842, and the sample size was 271. A stratified random sampling technique was used to distribute the questionnaires among the professionals that make up the health workers. Multiple-regression data analysis was used. The model exhibits a good fit with the data. The value of R-Square for multiple regression shows that up to 97.6% of changes in employee performance are the result of offboarding mindsets and employee retention strategies. The findings revealed that offboarding mindset and employee retention strategies have a high effect on employee’s performance among health workers in Ondo State. The study concluded that offboarding has a high effect on the performance of employees among health workers in Ondo State. The study also recommended that there should be a cordial relationship between management and employees; in addition, regular onboarding and training of the new staff should be highly upheld. Also, to improve the employee retention strategy to aid employee performance, good compensation packages, a better condition of service, and career growth for health workers must be put into place.

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Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

Not applicable

Data Availability

The datasets used in this study are openly available at [repository link] and the source code is available on GitHub at [GitHub link].

Funding

This work did not receive any external funding.

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  • Classification

    JEL Code: J24

  • Version of record

    v1.0

  • Issue date

    06 May 2024

  • Language

    en

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