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The Effect of Organizational Identification on Green Organizational Behavior

Author

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  • Neriman Çelik

    (Selçuk Üniversitesi)

  • Ali Erbaşı

    (Selçuk Üniversitesi)

Abstract

There is a great deal of academic research that shows employees identified with their organization display behavior in favor of the organization. The subject of this research is based on the assumption that employees identified with the organization they work for will have more green organizational behavior. Simple random sampling method was used in the research. 250 administrative staff willing to participate in the survey from 250 different businesses working in Konya Organized Industrial Zone 1 constituted the sample of the research. The survey technique was used as the data collection technique and data were collected by face-to-face interview method. The total of 250 questionnaires was analyzed through the SPSS 21.0 program. According to descriptive statistics, it was determined that the organizational identification levels of the participants were at a medium level whereas they had a high level of green organizational behavior. In order to evaluate the main hypothesis of the research, regression analysis was performed, and as a result, it was determined that organizational identification significantly predicted green organizational behavior, and organizational identification had a positive and significant effect on green organizational behavior. Accordingly, as the organizational identification level of the employees increases, the green organizational behavior also increases.

Suggested Citation

  • Neriman Çelik & Ali Erbaşı, 2023. "The Effect of Organizational Identification on Green Organizational Behavior," Istanbul Business Research, Istanbul University Business School, vol. 52(2), pages 233-250, August.
    • Handle: RePEc:ist:ibsibr:v:52:y:2023:i:2:p:233-250
    DOI: 10.26650/ibr.2023.52.1008617
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    References listed on IDEAS

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    4. Alessia Sammarra & Lucio Biggiero, 2001. "Identity and Identification in Industrial Districts," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 5(1), pages 61-82, March.
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