IDEAS home Printed from https://ideas.repec.org/a/bla/stratm/v46y2025i5p1293-1321.html
   My bibliography  Save this article

A database of chief financial officer turnover and dismissal in S&P 1500 firms, 2000–2022

Author

Listed:
  • Ziheng Zhang
  • Matthew P. Mount
  • Stephen X. Zhang

Abstract

Research Summary Understanding the antecedents and consequences of executive turnover is an important topic in strategy research. Yet, due to limitations in data availability, we know little about the turnover and dismissal of executives beyond the CEO. To address this, we develop an open access database on CFO turnover and dismissal—given the unique interface CFOs form with CEOs as strategic partners—in S&P 1500 firms between 2000 and 2022. We search for media documentation of CFO turnover events and code for various types of departure with supporting evidence. We compare our CFO database with an open access CEO database and show distinct patterns of exit and interdependence between CFO and CEO departure. The results reveal important directions for strategy scholarship. The database is available on the OSF platform (osf.io/fh248/?view_only=2c62d6eb59bd433496ce101689df3adc). Managerial Summary CFOs are key executives who shape the firm's strategy with CEOs. Consequently, understanding why CFOs leave their jobs and how this impacts the firm is important. Yet, the reasons why CFOs leave their jobs are rarely captured in existing databases. To address this, we develop an open access database documenting various types of CFO turnover and dismissal in S&P 1500 firms from 2000 to 2022. We establish a robust coding protocol and describe how we develop our database. We further explore how our CFO database contributes to the literature by comparing it with an open access CEO database; highlighting new lines of research and questions that it can stimulate. The database is available on the OSF platform (osf.io/fh248/?view_only=2c62d6eb59bd433496ce101689df3adc).

Suggested Citation

  • Ziheng Zhang & Matthew P. Mount & Stephen X. Zhang, 2025. "A database of chief financial officer turnover and dismissal in S&P 1500 firms, 2000–2022," Strategic Management Journal, Wiley Blackwell, vol. 46(5), pages 1293-1321, May.
    • Handle: RePEc:bla:stratm:v:46:y:2025:i:5:p:1293-1321
    DOI: 10.1002/smj.3693
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/smj.3693
    Download Restriction: no
    File URL: https://libkey.io/10.1002/smj.3693?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:bla:stratm:v:46:y:2025:i:5:p:1293-1321. 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: Wiley Content Delivery (email available below). General contact details of provider: http://onlinelibrary.wiley.com/journal/10.1111/0143-2095 .

    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.