IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-031-34589-0_20.html
   My bibliography  Save this book chapter

Entrepreneurial Culture, Management, and Innovation of Dairy Industries in Greece, in a Bureaucracy Environment

In: State of the Art in Partial Least Squares Structural Equation Modeling (PLS-SEM)

Author

Listed:
  • Athanasios Falaras

    (University of Macedonia)

  • Odysseas Moschidis

    (University of Macedonia)

Abstract

This chapter studies the effect of entrepreneurial culture, management, and bureaucracy on innovation, with management and bureaucracy being set as intermediate variables. Of particular interest is the indirect effect of entrepreneurial culture on innovation, through bureaucracy and management. This chapter regards the case of Greece in the field of dairy industry. To carry out the analysis, a research was conducted with the use of an e-questionnaire. The use of latent variable constructs led to apply the SmartPLS software to process the data. The results showed that all the studied effects of the model were statistically significant, qualifying intermediate variables as partial mediators, confirming all research hypotheses. The significance of the study for entrepreneurs lies in the fact that entrepreneurship can succeed in Greece; however for this to happen, entrepreneurs should cultivate their entrepreneurial culture which leads to innovation. This model could be applied to another field of the economy of Greece or another country would be of interest, so that the necessary comparisons of results will be made. As far as the state is concerned, the results of the survey about bureaucracy show that additional actions need to be taken for the improvement in the external business environment in Greece.

Suggested Citation

  • Athanasios Falaras & Odysseas Moschidis, 2023. "Entrepreneurial Culture, Management, and Innovation of Dairy Industries in Greece, in a Bureaucracy Environment," Springer Proceedings in Business and Economics, in: Lăcrămioara Radomir & Raluca Ciornea & Huiwen Wang & Yide Liu & Christian M. Ringle & Marko Sarstedt (ed.), State of the Art in Partial Least Squares Structural Equation Modeling (PLS-SEM), pages 193-208, Springer.
    • Handle: RePEc:spr:prbchp:978-3-031-34589-0_20
    DOI: 10.1007/978-3-031-34589-0_20
    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:prbchp:978-3-031-34589-0_20. 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.