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      The relationship between training satisfaction, organisational citizenship behaviour, and turnover intention : A PLS-SEM approach

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      Journal of Organizational Effectiveness: People and Performance
      Emerald

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          Abstract

          Purpose

          The purpose of this paper is to explore the role of training satisfaction as a predictor of organisational citizenship behaviour (OCB) and turnover intention. The study further examines the mediating role of OCB between training satisfaction and turnover intention.

          Design/methodology/approach

          Data were collected from 409 Malaysian oil and gas (O&G) sector employees. Partial least squares structural equation modelling (PLS-SEM) was used to test the hypotheses in the research model using SmartPLS 3.0.

          Findings

          This study highlights the significant positive impact of training satisfaction on OCB and the negative effect on turnover intention. Contrary to expectations, OCB proved to be neither a predictor of turnover intention nor a mediator in the model.

          Practical implications

          Although the main aim of this study was to test the theoretically driven hypotheses, the findings have a number of valuable implications for organisations. This study suggests that O&G organisations should focus on increasing employee satisfaction with training to maximise desired workplace attitudes and behaviours.

          Originality/value

          This is the first study to explore the causal links between training satisfaction, OCB and turnover intention. Although it has been observed in the past that training does not directly influence turnover intention, the present study indicates that training satisfaction significantly influences turnover intention. Further, this study unexpectedly found no direct relationship between OCB and turnover intention. Also, OCB was not a significant mediator in the present study. These unexpected findings open new avenues for future research, thus representing an important contribution of the present study.

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          Most cited references128

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          Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

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            Structural equation modeling in practice: A review and recommended two-step approach.

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              A new criterion for assessing discriminant validity in variance-based structural equation modeling

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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Journal of Organizational Effectiveness: People and Performance
                JOEPP
                Emerald
                2051-6614
                September 01 2017
                September 15 2017
                September 01 2017
                September 15 2017
                : 4
                : 3
                : 267-290
                Article
                10.1108/JOEPP-03-2017-0025
                1bceeaca-0b64-4d6c-9922-840515b8ab3b
                © 2017

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