IDEAS home Printed from https://ideas.repec.org/a/pes/ieroec/v11y2020i2p239-266.html
   My bibliography  Save this article

Can discounts expand local and digital currency awareness of individuals depending on their characteristics?

Author

Listed:
  • Aleksandr Kljucnikov

    (University of Entrepreneurship and Law, Czech Republic)

  • Mehmet Civelek

    (University of Entrepreneurship and Law, Czech Republic)

  • Iveta Voznakova

    (University of Entrepreneurship and Law, Czech Republic)

  • Vladimir Krajcik

    (University College of Business in Prague, Czech Republic)

Abstract

Research background: Because of enabling a greater amount of money circulation and addressing the needs of individuals in specific regions, local and digital currencies have become more important for local economic and sustainable development, especially in last decade. However, their awareness by potential users have become one of major constraints to their extensive usage. In this regard, discount have been used to increase the awareness of individuals. Purpose of the article: As discount is used as an effective promotional tool. This study pays regard to this indicator and aims to investigate whether the discount rate is positively associated with local and digital currency awareness of potential users. Moreover, this research also includes job positions and age of the respondents into the analyses due to potential existence of differences in the awareness of people regarding their characteristics. Methods: The research employs a questionnaire survey and acquires data from 407 workers of a local business in Cieszyn Silesia region of the Czech Republic. The researchers run Binary Logistic Regression analyses in IBM SPSS Software to examine the relationship between these specified variables. Findings & Value added: The research substantiates the fact that potential users who demand more discount rates are more likely to be aware of local and digital currencies. Moreover, potential users who work in lower job positions and demand more discounts are more acquainted with these currencies. Although the existence of a relationship between age and local currency awareness is not proved, older people who demand discounts with higher percentages are more informed about digital currencies than younger individuals. Higher elasticity in discount demand, mutual interactions and relations, such as social media and internet usage of potential users, might be the reasons of these results. This study makes significant contributions to the literature by confirming the significance of individuals’ ages and occupational statuses in the awareness of local and digital currencies and the positive relationship between their discount propensity and awareness.

Suggested Citation

  • Aleksandr Kljucnikov & Mehmet Civelek & Iveta Voznakova & Vladimir Krajcik, 2020. "Can discounts expand local and digital currency awareness of individuals depending on their characteristics?," Oeconomia Copernicana, Institute of Economic Research, vol. 11(2), pages 239-266, June.
  • Handle: RePEc:pes:ieroec:v:11:y:2020:i:2:p:239-266
    DOI: 10.24136/oc.2020.010
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.24136/oc.2020.010
    Download Restriction: no

    File URL: https://libkey.io/10.24136/oc.2020.010?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

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


    Cited by:

    1. Mehmet Civelek & Vladimír Krajèík, 2022. "How do SMEs from different countries perceive export impediments depending on their firm-level characteristics? System approach," Oeconomia Copernicana, Institute of Economic Research, vol. 13(1), pages 55-78, March.
    2. Civelek Mehmet & Polách Jiří & Švihlíková Ilona & Paták Milan, 2022. "International Differences in the Perceptions of Export Obstacles By SMEs in the Same Firm-Level Characteristics: Evidence from European Countries," Folia Oeconomica Stetinensia, Sciendo, vol. 22(1), pages 18-45, June.
    3. Beata Gavurova & Sylvia Jencova & Radovan Bacik & Marta Miskufova & Stanislav Letkovsky, 2022. "Artificial intelligence in predicting the bankruptcy of non-financial corporations," Oeconomia Copernicana, Institute of Economic Research, vol. 13(4), pages 1215-1251, December.
    4. Sergi, Bruno S. & Ključnikov, Aleksandr & Popkova, Elena G. & Bogoviz, Aleksei V. & Lobova, Svetlana V., 2022. "Creative abilities and digital competencies to transitioning to Business 4.0," Journal of Business Research, Elsevier, vol. 153(C), pages 401-411.
    5. Kamilla Marchewka-Bartkowiak & Karolina Anna Nowak & Michał Litwiński, 2022. "Digital valuation of personality using personal tokens," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1555-1576, September.
    6. Aleksandr Kljuènikov & Mehmet Civelek & Vladimír Krajèík & Petr Novák & Michal Èervinka, 2022. "Financial performance and bankruptcy concerns of SMEs in their export decision," Oeconomia Copernicana, Institute of Economic Research, vol. 13(3), pages 867-890, September.
    7. Danalakshmi D. & Gopi R. & A. Hariharasudan & Iwona Otola & Yuriy Bilan, 2020. "Reactive Power Optimization and Price Management in Microgrid Enabled with Blockchain," Energies, MDPI, vol. 13(23), pages 1-20, November.

    More about this item

    Keywords

    awareness; local currency; digital currency; discount rate; age and job positions of individuals;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • M29 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Other
    • O44 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Environment and Growth

    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:pes:ieroec:v:11:y:2020:i:2:p:239-266. 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: Adam P. Balcerzak (email available below). General contact details of provider: https://edirc.repec.org/data/ibgtopl.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.