IDEAS home Printed from https://ideas.repec.org/h/spr/isochp/978-3-319-71691-6_5.html
   My bibliography  Save this book chapter

The Compliance Index Model: Mitigating Compliance Risks by Applying PLS-SEM to Measure the Perceived Effectiveness of Compliance Programs

In: Partial Least Squares Structural Equation Modeling

Author

Listed:
  • Sebastian Rick

    (Governance and Assurance Services, KPMG AG Wirtschaftsprüfungsgesellschaft, The SQUAIRE)

  • Ralf Jasny

    (Frankfurt University of Applied Sciences)

Abstract

The Compliance Index Model represents a new type of employee-based measurement system for evaluating—and enhancing—the effectiveness of compliance programs. The authors discuss the nature and purpose of the Compliance Index Model and explain the theory underlying the model, and the quantitative approach employed to estimate the model parameters. The authors also illustrate the use of importance-performance analysis to identify critical areas of managerial attention and action for improving compliance program effectiveness and, consequently, mitigating compliance risk. Highlights of the findings include that (1) misaligned incentivesMisaligned incentive , role-model-behavior, and transparency are factors that determine overall compliance culture, (2) overall compliance culture determines whistleblower readiness and compliance risk, and (3) compliance culture provides the foundation for compliance program effectiveness. The authors conclude with a discussion of the implications of the Compliance Index Model for public policy makers, managers, customers, as well as finance and banking in general.

Suggested Citation

  • Sebastian Rick & Ralf Jasny, 2018. "The Compliance Index Model: Mitigating Compliance Risks by Applying PLS-SEM to Measure the Perceived Effectiveness of Compliance Programs," International Series in Operations Research & Management Science, in: Necmi K. Avkiran & Christian M. Ringle (ed.), Partial Least Squares Structural Equation Modeling, chapter 0, pages 125-170, Springer.
  • Handle: RePEc:spr:isochp:978-3-319-71691-6_5
    DOI: 10.1007/978-3-319-71691-6_5
    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 search for a similarly titled item that would be available.

    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:isochp:978-3-319-71691-6_5. 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.