IDEAS home Printed from https://ideas.repec.org/a/ags/quaest/392466.html

Semi-Autonomous Groups and Work Management in Agribusiness: A Theoretical Model in the Agricultural Supply Chain

Author

Listed:
  • Senna do Amaral, Caio
  • Berssaneti, Fernando Tobal

Abstract

The implementation of autonomous work groups has been a common focus of sociotechnical systems approaches to work redesign. There is interest in understanding the design, structure, and performance of semi-autonomous teams in different markets and economic sectors. Therefore, this work seeks to propose a theoretical model that correlates the main factors considered in semi-autonomous teams in the agricultural supply chain. Furthermore, it aims to understand the indirect effect of these factors and their relevance. To this end, an exploratory study in the field of sociotechnics is applied to identify the model variables and previous studies. Data collection is carried out through a survey in 4 agricultural market countries in Latin America, and the model is validated using structural equation modeling with Smart PLS SEM. The results of the study indicate that the adoption of work autonomy does not have a direct effect caused by human resource (HR) management. Moreover, the adoption of work autonomy is moderated by work remuneration. Finally, the indirect effect that HR management has on the adoption of semi-autonomous teams may be related to its own functioning within the organization. HR has a significant influence on the company's communication and on conflict resolution.

Suggested Citation

  • Senna do Amaral, Caio & Berssaneti, Fernando Tobal, 2023. "Semi-Autonomous Groups and Work Management in Agribusiness: A Theoretical Model in the Agricultural Supply Chain," Quaestum, University of Sao Paulo, vol. 4.
  • Handle: RePEc:ags:quaest:392466
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/392466/files/641-Texto%20do%20artigo-3213-3583-10-20230321.pdf
    Download Restriction: no
    ---><---

    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:ags:quaest:392466. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/dauspbr.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.