IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-146-3_24.html

Analysis of University Culture Using the OCAI Instrument

In: Proceedings of the 7th International Conference on Accounting, Management and Economics (ICAME-7 2022)

Author

Listed:
  • Shinta Dewi Sugiharti Tikson

    (Hasanuddin University)

  • Djabir Hamzah

    (Hasanuddin University)

  • Ria Mardiana

    (Hasanuddin University)

  • Nurdjanah Hamid

    (Hasanuddin University)

Abstract

The aim of this research is to identify the current and preferred cultures at Universitas Hasanuddin. A total of 87 respondents, consisting of academic staff, administrative staff, and undergraduate students from various faculties of Universitas Hasanuddin participated in this study. All respondents in the target group were randomly selected. This study used the Organizational Culture Assessment Instrument (OCAI) to determine how university culture influences respondents’ perceptions, thoughts, and emotions. In this paper, we assess the results of OCAI and compare how participants perceive current university culture and the preferred culture five years from now. The types of cultures examined in this study are clan culture, adhocracy culture, market culture, and hierarchy culture. Research results indicate that respondents perceive clan culture as the current university culture, as well as the most preferred culture in the future. This is due to the culture of Universitas Hasanuddin emphasizing “a proper work environment with leadership goals to empower employees by winning their engagement, commitment and loyalty”.

Suggested Citation

  • Shinta Dewi Sugiharti Tikson & Djabir Hamzah & Ria Mardiana & Nurdjanah Hamid, 2023. "Analysis of University Culture Using the OCAI Instrument," Advances in Economics, Business and Management Research, in: Muhammad Irdam Ferdiansyah & Daniella Cynthia Sampepajung & Insany Fitri Nurqamar & Rakhmat Prima Nu (ed.), Proceedings of the 7th International Conference on Accounting, Management and Economics (ICAME-7 2022), pages 246-252, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6463-146-3_24
    DOI: 10.2991/978-94-6463-146-3_24
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:advbcp:978-94-6463-146-3_24. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.