IDEAS home Printed from https://ideas.repec.org/p/pdn/dispap/163.html

Modelling Hierarchical Configurations in Innovation Research with Two-Step QCA: Methodological Recommendations and an Application to Workarounds

Author

Listed:
  • Luc Sandfort

    (Paderborn University)

  • Talea Hellweg

    (Paderborn University)

  • Martin Schneider

    (Paderborn University)

  • Katharina Radermacher

    (Paderborn University)

Abstract

Creativity and innovation are, in many cases, understood as the result of a complex interplay of hierarchical factors, such as national, regional, and firm characteristics, or between organizational and individual factors. While recent applications of qualitative comparative analysis (QCA) have begun to model such configurational links, their hierarchical nature has received little empirical attention. As this paper demonstrates, theories that posit hierarchical configurations can and should be explored using the two-step variant of QCA. The paper outlines the potential of the method for the field of creativity and innovation and helps to navigate key modelling decisions. An illustrative study explores the occurrence of informal employee innovation behavior – workarounds – based on the Ability-Motivation-Opportunity (AMO) framework. The results of the two-step QCA are superior in terms of reduced limited diversity and complexity to those of the conventional one-step QCA. Overall, the method has considerable potential for empirically capturing the complex, hierarchical interactions inherent in many innovation processes.

Suggested Citation

  • Luc Sandfort & Talea Hellweg & Martin Schneider & Katharina Radermacher, 2025. "Modelling Hierarchical Configurations in Innovation Research with Two-Step QCA: Methodological Recommendations and an Application to Workarounds," Working Papers Dissertations 163, Paderborn University, Faculty of Business Administration and Economics.
    • Handle: RePEc:pdn:dispap:163
    as

    Download full text from publisher

    File URL: http://groups.uni-paderborn.de/wp-wiwi/RePEc/pdf/dispap/DP163.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • Y4 - Miscellaneous Categories - - Dissertations

    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:pdn:dispap:163. 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: WP-WiWi-Info (email available below). General contact details of provider: https://edirc.repec.org/data/fwpadde.html .

    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.