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      Role of organizational commitment in career growth and turnover intention in public sector of Oman

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          Abstract

          Introduction

          Creating a proper career program is the best way to enhance employees’ organizational commitment; it motivates and retains them. This research aims to measure career growth’s influence on turnover intention, mediated by employees’ commitment through self-reported employees’ perceptions. This study identifies the key dimensions of organizational commitment (affective, continuance and normative commitment) that mediate the relationship between career growth and employee turnover intention exploring the indirect effects between career growth and turnover intention. The relationship is examined among the public sector employees in the Sultanate of Oman, a sector currently facing high turnover rates and losing key skilled talent pool.

          Methodology

          Data collection was executed through an adopted questionnaire distributed among 500 employees of 38 government units within the Sultanate of Oman. A total of 351 questionnaires were returned, and after the initial screening process, 329 were found to be valid for further analysis. CFA analysis was conducted to identify the factors falling under the three primary constructs of the study. Assessment of the models was explained through Goodness-of-fit Indices. Structural equation modeling, which is most recommended to study the effect of latent variables, was performed using AMOS to evaluate the mediating role of organizational commitment between career growth and employee turnover intention.

          Findings

          The results indicated that the potential for career growth is an essential motivating element for public sector employees in the Sultanate of Oman to encourage retention and reduce intention to leave. The findings also confirm that effective and continuous commitment significantly mediates the relationship between career growth and employees’ turnover intention.

          Contribution and originality value

          The results generated could help both researchers and those involved in public sector policy-making to understand how employee turnover intention is influenced by career growth and organizational commitment in the public sector in the Sultanate of Oman.

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          Most cited references148

          • Record: found
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          Coefficient alpha and the internal structure of tests

          Psychometrika, 16(3), 297-334
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            Affective, Continuance, and Normative Commitment to the Organization: A Meta-analysis of Antecedents, Correlates, and Consequences

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              • Record: found
              • Abstract: found
              • Article: not found

              How Many Subjects Does It Take To Do A Regression Analysis.

              S Green (1991)
              Numerous rules-of-thumb have been suggested for determining the minimum number of subjects required to conduct multiple regression analyses. These rules-of-thumb are evaluated by comparing their results against those based on power analyses for tests of hypotheses of multiple and partial correlations. The results did not support the use of rules-of-thumb that simply specify some constant (e.g., 100 subjects) as the minimum number of subjects or a minimum ratio of number of subjects (N) to number of predictors (m). Some support was obtained for a rule-of-thumb that N ≥ 50 + 8 m for the multiple correlation and N ≥104 + m for the partial correlation. However, the rule-of-thumb for the multiple correlation yields values too large for N when m ≥ 7, and both rules-of-thumb assume all studies have a medium-size relationship between criterion and predictors. Accordingly, a slightly more complex rule-of thumb is introduced that estimates minimum sample size as function of effect size as well as the number of predictors. It is argued that researchers should use methods to determine sample size that incorporate effect size.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: MethodologyRole: Project administrationRole: ResourcesRole: Writing – original draftRole: Writing – review & editing
                Role: InvestigationRole: MethodologyRole: Project administrationRole: Resources
                Role: ConceptualizationRole: Data curationRole: Funding acquisitionRole: Writing – original draftRole: Writing – review & editing
                Role: SoftwareRole: ValidationRole: Visualization
                Role: SoftwareRole: SupervisionRole: ValidationRole: Visualization
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                12 May 2022
                2022
                : 17
                : 5
                : e0265535
                Affiliations
                [1 ] University of Technology and Applied Sciences (Higher College of Technology), Muscat, Oman
                [2 ] Modern College of Business & Science, Muscat, Oman
                [3 ] Department of Business Management, College of Business Administration, Kingdom University, Riffa, Bahrain
                [4 ] School of Engineering Management, University ’Union—Nikola Tesla’, Belgrade, Serbia
                [5 ] Sir Theagaraya College, Chennai, India
                FAME|GRAPE, POLAND
                Author notes

                Competing Interests: The authors declare no conflict of interest.

                Author information
                https://orcid.org/0000-0003-4781-7993
                Article
                PONE-D-21-11604
                10.1371/journal.pone.0265535
                9098061
                35551528
                695f5f8f-9289-4821-8dfd-1404fc9ccfbb
                © 2022 Al Balushi et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 11 April 2021
                : 3 March 2022
                Page count
                Figures: 11, Tables: 15, Pages: 39
                Funding
                The authors received no specific funding for this work.
                Categories
                Research Article
                Social Sciences
                Economics
                Labor Economics
                Employment
                Careers
                Social Sciences
                Economics
                Labor Economics
                Employment
                Social Sciences
                Economics
                Labor Economics
                Employment
                Jobs
                Science Policy
                Science and Technology Workforce
                Careers in Research
                Social Sciences
                Economics
                Labor Economics
                Salaries
                People and Places
                Geographical Locations
                Asia
                Oman
                Research and Analysis Methods
                Research Design
                Survey Research
                Questionnaires
                Computer and Information Sciences
                Software Engineering
                Computer Software
                Engineering and Technology
                Software Engineering
                Computer Software
                Custom metadata
                Please find below the DOI of the data. Figshare link DOI: https://doi.org/10.6084/m9.figshare.17026622.

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