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Clustering Universities According to Performance Indicators and Determination of Organizational Culture Types in Clusters

Author

Listed:
  • Maxat Aitimbetov

    (Khoja Akhmet Yassawi International Kazakh-Turkish University, Turkestan, Kazakhstan)

  • Dinmukhamed Kelesbayev

    (Khoja Akhmet Yassawi International Kazakh-Turkish University, Turkestan, Kazakhstan)

  • Gulzhamal Koptayeva

    (Miras University, Shymkent, Kazakhstan)

  • Gulshat Zhadigerova

    (Central Asian Innovation University, Shymkent, Kazakhstan)

  • Assylkhan Tursyn

    (Peoples’ Friendship University named after Academician A.Kuatbekov, Shymkent, Kazakhstan)

  • Aripkhan Sadykov

    (Regional Innovation University, Shymkent, Kazakhstan)

Abstract

This study aims to reveal the organizational culture types of state universities in Kazakhstan, to define the dominant organizational culture type and to interpret the organizational culture types in terms of performance indicators. In order to achieve this goal, statistical data collected from 29 state universities were classified using hierarchical cluster analysis and Ward’s Technique. In this context, firstly, the concept of organizational culture and its effects on organizational performance were explained in the light of literature information, then cluster analysis was conducted on universities in terms of institutional size and performance. In addition, since a data-oriented approach was preferred in this study, universities were classified based on objective data instead of predetermined criteria. Finally, SPSS 22.0 program and Organizational Culture Assessment Tool were used to analyze the validity of the obtained data and the relationships between the variables, and as a result, the organizational culture types of universities were revealed, the dominant organizational culture type among them was determined and suggestions were given based on empirical findings in the study. It is expected that the results of this study will bring different perspectives on the effect of organizational culture on performance indicators in state universities in Kazakhstan.

Suggested Citation

  • Maxat Aitimbetov & Dinmukhamed Kelesbayev & Gulzhamal Koptayeva & Gulshat Zhadigerova & Assylkhan Tursyn & Aripkhan Sadykov, 2024. "Clustering Universities According to Performance Indicators and Determination of Organizational Culture Types in Clusters," International Review of Management and Marketing, Econjournals, vol. 14(6), pages 46-54, October.
    • Handle: RePEc:eco:journ3:2024-06-6
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    References listed on IDEAS

    as
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    2. Carl F. Fey & Daniel R. Denison, 2003. "Organizational Culture And Effectiveness: Can American Theory Be Applied In Russia?," William Davidson Institute Working Papers Series 2003-598, William Davidson Institute at the University of Michigan.
    3. Fionn Murtagh & Pierre Legendre, 2014. "Ward’s Hierarchical Agglomerative Clustering Method: Which Algorithms Implement Ward’s Criterion?," Journal of Classification, Springer;The Classification Society, vol. 31(3), pages 274-295, October.
    4. Mira Bekebayeva & Dinmukhamed Kelesbayev & Aripkhan Sadykov & Kuatbek Kalykulov & Yermek Yertayev, 2024. "Analysis and Evaluation of the Image of the University in the Context of the City-University Interaction," International Review of Management and Marketing, Econjournals, vol. 14(5), pages 158-165, September.
    5. George Matlis & Nikos Dimokas & Petros Karvelis, 2024. "Unveiling University Groupings: A Clustering Analysis for Academic Rankings," Data, MDPI, vol. 9(5), pages 1-41, May.
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Universities; Organizational Culture; Institutional Performance; Cluster Analysis; Organizational Culture Assessment Tool;
    All these keywords.

    JEL classification:

    • D23 - Microeconomics - - Production and Organizations - - - Organizational Behavior; Transaction Costs; Property Rights
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • L30 - Industrial Organization - - Nonprofit Organizations and Public Enterprise - - - General
    • M14 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Corporate Culture; Diversity; Social Responsibility

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