IDEAS home Printed from https://ideas.repec.org/a/rze/efinan/v10y2014i2p44-56.html
   My bibliography  Save this article

Bayesian Approach To The Process Of Identification Of The Determinants Of Innovativeness

Author

Listed:
  • Marta Czy¿ewska

    (University of Information Technology and Management in Rzeszow)

  • Teresa Mroczek

    (University of Information Technology and Management in Rzeszow)

Abstract

Bayesian belief networks are applied in determining the most important factors of the innovativeness level of national economies. The paper is divided into two parts. The first presentsthe basic theory of Bayesian networks whereas in the second, the belief networks have been generated by an inhouse developed computer system called BeliefSEEKER which was implemented to generate the determinants influencing the innovativeness level of national economies.Qualitative analysis of the generated belief networks provided a way to define a set of the most important dimensions influencing the innovativeness level of economies and then the indicators that form these dimensions. It has been proven that Bayesian networks are very effective methods for multidimensional analysis and forming conclusions and recommendations regarding the strength of each innovative determinant influencing the overall performance of a country’s economy.

Suggested Citation

  • Marta Czy¿ewska & Teresa Mroczek, 2014. "Bayesian Approach To The Process Of Identification Of The Determinants Of Innovativeness," "e-Finanse", University of Information Technology and Management, Institute of Financial Research and Analysis, vol. 10(2), pages 44-56, August.
  • Handle: RePEc:rze:efinan:v:10:y:2014:i:2:p:44-56
    as

    Download full text from publisher

    File URL: http://e-finanse.com/artykuly_eng/278.pdf
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Omar A. Guerrero & Gonzalo Castañeda, 2021. "Quantifying the coherence of development policy priorities," Development Policy Review, Overseas Development Institute, vol. 39(2), pages 155-180, March.
    2. Omar A. Guerrero & Gonzalo Casta~neda, 2019. "Quantifying the Coherence of Development Policy Priorities," Papers 1902.00430, arXiv.org.
    3. Castañeda, Gonzalo & Chávez-Juárez, Florian & Guerrero, Omar A., 2018. "How do governments determine policy priorities? Studying development strategies through spillover networks," Journal of Economic Behavior & Organization, Elsevier, vol. 154(C), pages 335-361.

    More about this item

    Keywords

    Bayesian approach; determinants; innovativeness Least Squares Method;
    All these keywords.

    JEL classification:

    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives

    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:rze:efinan:v:10:y:2014:i:2:p:44-56. 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: Pawel Bochenek (email available below). General contact details of provider: https://edirc.repec.org/data/igwsipl.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.