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The Use of Multiple Correspondence Analysis to Map the Organizational Citizenship Behaviour and Job Satisfaction of Administrative Staff

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10th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions - ICSCCW-2019 (ICSCCW 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1095))

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Abstract

Job satisfaction itself is said to be a strong predictor of organizational citizenship behaviour the assumption being that satisfied employees will display citizenship behaviour whereas dissatisfied employees will be reluctant to display their citizenship behaviour. The aim of the study was to understand whether a relationship between job satisfaction, organizational citizenship behavior, and demographic variables exist amongst administrative staff working at a private university hospital using Multiple Correspondence Analysis (MCA). MCA was used because it is a useful tool to explore whether a relationship exist between various variables and illustrates how the variables are related as well as presenting statistical results both analytically and visually. Results of the study indicate that a relationship between job satisfaction, organizational citizenship behavior, and demographic variables is evident.

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Author information

Authors and Affiliations

  1. University of Kyrenia, Kyrenia, TRNC, Mersin 10, Turkey

    Cemre S. Gunsel Haskasap

  2. Near East University, 99138, Nicosia, TRNC, Mersin 10, Turkey

    Tulen Saner & Serife Zihni Eyupoglu

Authors
  1. Cemre S. Gunsel Haskasap
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  2. Tulen Saner
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  3. Serife Zihni Eyupoglu
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Corresponding author

Correspondence to Serife Zihni Eyupoglu .

Editor information

Editors and Affiliations

  1. Joint MBA Program, Azerbaijan State Oil and Industry University, Baku, Azerbaijan

    Rafik A. Aliev

  2. Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

    Janusz Kacprzyk

  3. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada

    Witold Pedrycz

  4. Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA

    Mo Jamshidi

  5. Azerbaijan State Oil and Industry University, Baku, Azerbaijan

    Mustafa B. Babanli

  6. Department of Mechatronics, Near East University, Nicosia, Turkey

    Fahreddin M. Sadikoglu

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Haskasap, C.S.G., Saner, T., Eyupoglu, S.Z. (2020). The Use of Multiple Correspondence Analysis to Map the Organizational Citizenship Behaviour and Job Satisfaction of Administrative Staff. In: Aliev, R., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Babanli, M., Sadikoglu, F. (eds) 10th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions - ICSCCW-2019. ICSCCW 2019. Advances in Intelligent Systems and Computing, vol 1095. Springer, Cham. https://doi.org/10.1007/978-3-030-35249-3_15

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