IDEAS home Printed from https://ideas.repec.org/a/nup/jrmdke/v6y2018i2227-245.html
   My bibliography  Save this article

Methodological Aspects of Estimation of ICT-Based Economic Development

Author

Listed:
  • Alovsat G. ALIYEV

    (Institute of Information Technology of Azerbaijan, National Academy of Sciences)

Abstract

This article is dedicated to methodological aspects of estimation of ICT-based economic development. Information economy development and formation trends in leading foreign countries are analyzed. A comparative analysis of the strategies and trends that form the information economy of Azerbaijan with the developed countries is carried out. In the article comparative analysis of different indicator systems in accordance with formation and assessment of development level of information and knowledge economy is given. Some recommendations about the elimination of problems existing in this field are given. A methodic for calculating Gross Domestic Product (GDP) which forms at the expense of information and knowledge is suggested. A composite index and forming indices, subindices, and indicators system of information and knowledge economy are developed.

Suggested Citation

  • Alovsat G. ALIYEV, 2018. "Methodological Aspects of Estimation of ICT-Based Economic Development," Management Dynamics in the Knowledge Economy, College of Management, National University of Political Studies and Public Administration, vol. 6(2), pages 227-245, June.
    • Handle: RePEc:nup:jrmdke:v:6:y:2018:i:2:227-245
    as

    Download full text from publisher

    File URL: http://www.managementdynamics.ro/index.php/journal/article/download/260/217
    Download Restriction: no
    File URL: http://www.managementdynamics.ro/index.php/journal/article/view/260/217
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fathollahi & Farshad Momeni & Nasser Elahi & Seyyed Mohammad Sajjad Najafi, 2017. "Appropriate theoretical framework for understanding and analyzing economic issues in knowledge-based economy," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 8(3), pages 957-976, September.
    2. Santos LOPEZ-LEYVA & Ana Bárbara MUNGARAY-MOCTEZUMA, 2017. "Knowledge-Based Economy as a Foundation for the Economic Development of Countries," Management Dynamics in the Knowledge Economy, College of Management, National University of Political Studies and Public Administration, vol. 5(4), pages 481-501, December.
    3. repec:pkp:rokeco:2017:p:7-14 is not listed on IDEAS
    4. Jadranka Švarc & Marina Dabić, 2017. "Evolution of the Knowledge Economy: a Historical Perspective with an Application to the Case of Europe," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 8(1), pages 159-176, March.
    5. World Bank, 2014. "A Sector Assessment : Accelerating Growth of High-Speed Internet Services in Azerbaijan," World Bank Publications - Reports 21502, The World Bank Group.
    6. Rasim Mahammad Alguliyev & Alovsat Garaja Aliyev & Vusala Alovsat Abbasova, 2017. "The Study of Formation Characteristics and Development Tendencies of International Information and Knowledge Economy," Review of Knowledge Economy, Conscientia Beam, vol. 4(1), pages 7-14.
    7. Shahid Yusuf, 2015. "Knowledge-based Economic Growth in Kazakhstan," Global Journal of Emerging Market Economies, Emerging Markets Forum, vol. 7(3), pages 257-286, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Voxi Heinrich Amavilah & Antonio Rodríguez Andrés, 2024. "Knowledge Economy and the Economic Performance of African Countries: A Seemingly Unrelated and Recursive Approach," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 110-143, March.
    2. Dabić, Marina & Stojčić, Nebojša & Simić, Marijana & Potocan, Vojko & Slavković, Marko & Nedelko, Zlatko, 2021. "Intellectual agility and innovation in micro and small businesses: The mediating role of entrepreneurial leadership," Journal of Business Research, Elsevier, vol. 123(C), pages 683-695.
    3. Oleg Sergeevich Sukharev, 2023. "Intellectual Firm: Key Features and Development Models," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(2), pages 1091-1119, June.
    4. Fan He & Xuansen He, 2019. "A Continuous Differentiable Wavelet Shrinkage Function for Economic Data Denoising," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 729-761, August.
    5. Ünsal Özdilek, 2024. "Art-Rent Concept and Measure With Connections to an Evolving Economy," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 1625-1649, March.
    6. Diana Toimbek, 2022. "Problems and Perspectives of Transition to the Knowledge-Based Economy in Kazakhstan," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(2), pages 1088-1125, June.
    7. Ibrahim Alnafrah & Sulaiman Mouselli, 2020. "Constructing the Reconstruction Process: a Smooth Transition Towards Knowledge Society and Economy in Post-Conflict Syria," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(3), pages 931-948, September.
    8. Shantha Indrajith Hikkaduwa Liyanage & Fulu Godfrey Netswera, 2022. "Greening Universities with Mode 3 and Quintuple Helix Model of Innovation–Production of Knowledge and Innovation in Knowledge-Based Economy, Botswana," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(2), pages 1126-1156, June.
    9. Oleg Sukharev, 2021. "Measuring the Contribution of the “Knowledge Economy” to the Economic Growth Rate: Comparative Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(4), pages 1809-1829, December.
    10. Voxi Heinrich Amavilah & Antonio Rodriguez Andres, 2022. "Knowledge Economy and the Economic Performance of African Countries: A Seemingly Unrelated and Recursive Approach," Working Papers 57, The German University in Cairo, Faculty of Management Technology.

    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:nup:jrmdke:v:6:y:2018:i:2:227-245. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Cristian-Mihai VIDU (email available below). General contact details of provider: https://edirc.repec.org/data/fmsnsro.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.