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Investigating the Relationship between Self-Leadership Strategies and Job Satisfaction

Author

Listed:
  • Mohammad Hosein Moshref Javadi

    (University of Isfahan)

  • Mohamad Sadegh Rezaee

    (University of Isfahan)

  • Reza Salehzadeh

    (University of Isfahan)

Abstract

The aim of this study was to investigate the relationship between self-leadership strategies and job satisfaction. The study took place at an educational organization in Isfahan. A random sample of 164 employees was selected. This research was conducted using two separate questionnaires. Self- leadership was assessed using a standard questionnaire (Houghton and Neck, 2002). This Questionnaire uses 35 questions to measure the three subscales. For job satisfaction based on Weiss et al.(1967) and Eskildsen et al.(2010) has been developed a questionnaire with three subscales. Structural equation modeling was conducted to test the hypotheses. The finding showed that the “behavior focused strategies”, “natural reward strategies” and “constructive thought pattern strategies” (with a signi?cant coefficient at 0.61, 0.59 and 0.63) had a significant effect on job satisfaction and self-leadership in?uences on job satisfaction with a signi?cant path coefficient at 0.73. The result of this study showed that self-leadership can be considered as a predictor of job satisfaction.

Suggested Citation

  • Mohammad Hosein Moshref Javadi & Mohamad Sadegh Rezaee & Reza Salehzadeh, 2013. "Investigating the Relationship between Self-Leadership Strategies and Job Satisfaction," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 3(3), pages 284-289, July.
    • Handle: RePEc:hur:ijaraf:v:3:y:2013:i:3:p:284-289
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    References listed on IDEAS

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    1. Arash Shahin & Reza Salehzadeh, 2013. "Investigating the relationship among self-leadership strategies by association rules mining," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 14(1), pages 41-55.
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    Cited by:

    1. Sew Huey Ting & Sofri Yahya & Cheng Ling Tan, 2020. "Importance-Performance Matrix Analysis of the Researcher’s Competence in the Formation of University-Industry Collaboration Using Smart PLS," Public Organization Review, Springer, vol. 20(2), pages 249-275, June.

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