IDEAS home Printed from https://ideas.repec.org/a/igg/jskd00/v14y2022i1p1-14.html
   My bibliography  Save this article

Understanding Top Management Teams' Characteristics for Effective Turnaround Management: Evidence From the Zimbabwean Manufacturing Sector

Author

Listed:
  • Mufaro Dzingirai

    (Midlands State University, Zimbabwe)

  • Neeta Baporikar

    (Namibia Univeristy of Science and Technology, Namibia & University of Pune, India)

Abstract

The recently witnessed economic downturn prompted by the COVID-19 pandemic rekindled the interests of management professionals, policymakers, academicians, and researchers in corporate turnaround management. Hence, this study aims to ascertain the top management teams' characteristics for an effective turnaround in the manufacturing sector. Exploratory research design supported this study whereby 16 key informants were recruited for interviews. Adopting thematic analysis, the qualitative results showed the key five top management teams' characteristics for effective turnaround management, namely gender, personal features, educational qualifications, age, and experience. With these results, the study concludes that the heterogeneity of top management teams has a direct bearing on the successful turnaround attempts in the manufacturing sector during an economic crisis. As such, the study recommends the appointment of senior executives based on experience, age, gender, personal features, and educational qualifications.

Suggested Citation

  • Mufaro Dzingirai & Neeta Baporikar, 2022. "Understanding Top Management Teams' Characteristics for Effective Turnaround Management: Evidence From the Zimbabwean Manufacturing Sector," International Journal of Sociotechnology and Knowledge Development (IJSKD), IGI Global, vol. 14(1), pages 1-14, January.
    • Handle: RePEc:igg:jskd00:v:14:y:2022:i:1:p:1-14
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJSKD.312572
    Download Restriction: no
    ---><---

    More about this item

    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:igg:jskd00:v:14:y:2022:i:1:p:1-14. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.