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      The effects of work social support and career adaptability on career satisfaction and turnover intentions

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      Journal of Management & Organization
      Cambridge University Press (CUP)

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          Abstract

          Applying career construction theory, this study develops and tests a research model that investigates whether career adaptability mediates the effect of work social support on career satisfaction and turnover intentions. Data obtained from frontline hotel employees with a 2-week time lag in three waves in Nigeria were used to assess the previously mentioned relationships. The results from structural equation modeling suggest that work social support boosts career adaptability and career satisfaction, while it mitigates turnover intentions. Surprisingly, the results suggest that career adaptability triggers turnover intentions, while it has no bearing on career satisfaction. The results further suggest that career adaptability partially mediates the relationship between work social support and turnover intentions.

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          Common method biases in behavioral research: A critical review of the literature and recommended remedies.

          Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how to control for them does not exist. Therefore, the purpose of this article is to examine the extent to which method biases influence behavioral research results, identify potential sources of method biases, discuss the cognitive processes through which method biases influence responses to measures, evaluate the many different procedural and statistical techniques that can be used to control method biases, and provide recommendations for how to select appropriate procedural and statistical remedies for different types of research settings.
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            Structural equation modeling in practice: A review and recommended two-step approach.

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              Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

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                Author and article information

                Journal
                Journal of Management & Organization
                Journal of Management & Organization
                Cambridge University Press (CUP)
                1833-3672
                1839-3527
                May 2017
                August 19 2016
                May 2017
                : 23
                : 3
                : 337-355
                Article
                10.1017/jmo.2016.12
                da65fba5-2292-493f-9571-c2d697ead7a8
                © 2017

                https://www.cambridge.org/core/terms

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