IDEAS home Printed from https://ideas.repec.org/a/pop/journl/v8y2024i2p31-38.html

The benefits of using IPA in relation to RPA for the cryptocurrency sector, in making decisions on their sale and purchase in the stock market

Author

Listed:
  • Gerild QORDIA

    (Department of Information Technology, Mediterranean University of Albania)

  • Dolantina HYKA

    (Department of Information Technology, Mediterranean University of Albania)

Abstract

Since 2009 when the first cryptocurrency Bitcoin began to be inserted into the market of electronic currencies, today in 2023 there are more than 19,850 electronic cryptocurrencies [1]. According to information from the coinecko website, the cryptocurrency market has expanded dramatically from a market capitalization of $1 million in 2013 to $3 trillion in November 2021 [2]. Referring to the latest statistical data, 3 are the cryptocurrencies that rule the e-commerce market in November 2023, Bitcoin,Ethereum AND Tether USDt [3]. Robotic Process Automation (RPA) is a growing trend in the restructuring of business processes, combined with digital transformation. This technology can be applied in different areas of business processes and by organizations from any activity sector [4].With continuous advances in automated processes through RPA, mechanisms involving Artificial Intelligence (AI) were incorporated to influence real-life decision-making [5]. Artificial Intelligence (AI) allows improving the accuracy and execution of RPA processes in extracting information and recognizing, classifying, predicting and optimizing processes [6].Nowadays, artificial intelligence is affecting the way people process computer data, televisions have started to create avatars that they use for news reporting. In this paper we will study the impact that the use of automatic sale and purchase of electronic cryptocurrencies can have using IPA and RPA and the possibility of this process being realized through this process.

Suggested Citation

  • Gerild QORDIA & Dolantina HYKA, 2024. "The benefits of using IPA in relation to RPA for the cryptocurrency sector, in making decisions on their sale and purchase in the stock market," Smart Cities and Regional Development (SCRD) Journal, Smart-EDU Hub, Faculty of Public Administration, National University of Political Studies & Public Administration, vol. 8(2), pages 31-38, February.
    • Handle: RePEc:pop:journl:v:8:y:2024:i:2:p:31-38
    DOI: https://doi.org/10.25019/vxgfbw39
    as

    Download full text from publisher

    File URL: https://scrd.eu/index.php/scrd/article/view/470/431
    Download Restriction: no
    File URL: https://scrd.eu/index.php/scrd/article/view/470
    Download Restriction: no
    File URL: https://libkey.io/https://doi.org/10.25019/vxgfbw39?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
    ---><---

    References listed on IDEAS

    as
    1. Lukas-Valentin Herm & Christian Janiesch & Alexander Helm & Florian Imgrund & Adrian Hofmann & Axel Winkelmann, 2023. "A framework for implementing robotic process automation projects," Information Systems and e-Business Management, Springer, vol. 21(1), pages 1-35, March.
    2. Simran, & Sharma, Anil Kumar, 2023. "Asymmetric impact of economic policy uncertainty on cryptocurrency market: Evidence from NARDL approach," The Journal of Economic Asymmetries, Elsevier, vol. 27(C).
    3. Yousaf, Imran & Riaz, Yasir & Goodell, John W., 2023. "Energy cryptocurrencies: Assessing connectedness with other asset classes," Finance Research Letters, Elsevier, vol. 52(C).
    4. Antoon Spithoven, 2019. "Theory and Reality of Cryptocurrency Governance," Journal of Economic Issues, Taylor & Francis Journals, vol. 53(2), pages 385-393, April.
    5. Man-Fai Leung & Lewis Chan & Wai-Chak Hung & Siu-Fung Tsoi & Chun-Hin Lam & Yiu-Hang Cheng, 2023. "An Intelligent System for Trading Signal of Cryptocurrency Based on Market Tweets Sentiments," FinTech, MDPI, vol. 2(1), pages 1-17, March.
    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. Ali, Shoaib & Naveed, Muhammad & Yousaf, Imran & Khattak, Muhammad Sualeh, 2024. "From cryptos to consciousness: Dynamics of return and volatility spillover between green cryptocurrencies and G7 markets," Finance Research Letters, Elsevier, vol. 60(C).
    2. Dammak, Wael & Frikha, Wajdi & Souissi, Mohamed Naceur, 2024. "Market turbulence and investor decision-making in currency option market," The Journal of Economic Asymmetries, Elsevier, vol. 30(C).
    3. Kumari, Minu & Sharma, Anil Kumar, 2025. "Unveiling the asymmetry through NARDL approach: Do geopolitical risks impact green bonds?," The Journal of Economic Asymmetries, Elsevier, vol. 32(C).
    4. Mbarek, Marouene & Msolli, Badreddine, 2025. "Tokens and cryptocurrencies: Evidence from asymmetric frequency connectedness approach," Research in International Business and Finance, Elsevier, vol. 77(PA).
    5. Cebrián, Eduardo & Domenech, Josep, 2024. "Addressing Google Trends inconsistencies," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    6. Wang, Wei & Enilov, Martin & Stankov, Petar, 2025. "Can cryptocurrency or gold rescue BRICS stocks amid the Russia-Ukraine conflict?," International Review of Financial Analysis, Elsevier, vol. 104(PA).
    7. Adil, Masudul Hasan & Roy, Amrita, 2024. "Asymmetric effects of uncertainty on investment: Empirical evidence from India," The Journal of Economic Asymmetries, Elsevier, vol. 29(C).
    8. Yousaf, Imran & Abrar, Afsheen & Ali, Shoaib & Goodell, John W., 2024. "Connectedness between energy cryptocurrencies and US equity markets: A quantile-based analysis," International Review of Financial Analysis, Elsevier, vol. 96(PB).
    9. Mbarek, Marouene, 2025. "Exploring the nexus between sustainable energy tokens, electric vehicles, and the hydrogen economy," Research in International Business and Finance, Elsevier, vol. 77(PB).
    10. Alexey Mikhaylov & N. B. A. Yousif & Hasan Dincer & Serhat Yüksel, 2025. "Analysis of the knowledge and innovation-based customer expectations for the green crypto assets in investment strategies using artificial intelligence and facial expression-based fuzzy modelling," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(3), pages 2861-2890, June.
    11. Abakah, Emmanuel Joel Aikins & Chowdhury, Mohammad Ashraful Ferdous & Abdullah, Mohammad & Hammoudeh, Shawkat, 2024. "Energy tokens and green energy markets under crisis periods: A quantile downside tail risk dependence analysis," International Review of Economics & Finance, Elsevier, vol. 96(PB).
    12. Yousaf, Imran & Abrar, Afsheen & Yousaf, Umair Bin & Goodell, John W., 2024. "Environmental attention and uncertainties of cryptocurrency market: Examining linkages with crypto-mining stocks," Finance Research Letters, Elsevier, vol. 59(C).
    13. Tobias Bender, 2024. "Towards a process selection method for embedded analytics," Information Systems and e-Business Management, Springer, vol. 22(3), pages 501-525, September.
    14. Wang, Zhi & Peng, Xingxing, 2025. "How monetary policy and supply chain shocks impact the consumer energy prices using nonlinear ARDL and wavelet coherence approach," Energy Economics, Elsevier, vol. 147(C).
    15. Simran, & Sharma, Anil Kumar, 2024. "Asymmetric nexus between economic policy uncertainty and the Indian stock market: Evidence using NARDL approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 93(C), pages 91-101.
    16. Stefan Cristian Gherghina & Daniel Stefan Armeanu & Jean Vasile Andrei & Camelia Catalina Joldes, 2024. "Spillover Connectedness Between Cryptocurrency and Energy Sector: An Empirical Investigation Under Asymmetric Exogenous Shocks of Health and Geopolitical Crisis and Uncertainties," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(4), pages 16454-16510, December.
    17. Mbarek, Marouene & Msolli, Badreddine, 2025. "Assessing linkages between supply chain tokens and other assets: Evidence from a time-frequency quantile connectedness approach," Journal of Behavioral and Experimental Finance, Elsevier, vol. 46(C).
    18. Zhong, Yufei & Chen, Xuesheng & Wang, Chengfang & Wang, Zhixian & Zhang, Yuchen, 2023. "The hedging performance of green bond markets in China and the U.S.: Novel evidence from cryptocurrency uncertainty," Energy Economics, Elsevier, vol. 128(C).
    19. Yousaf, Imran & Assaf, Ata & Demir, Ender, 2024. "Relationship between real estate tokens and other asset classes: Evidence from quantile connectedness approach," Research in International Business and Finance, Elsevier, vol. 69(C).
    20. Cavallaro, Matteo & Mathieu, Alban, 2024. "Beyond the veil: Mapping cryptocurrencies' ecosystem," International Review of Financial Analysis, Elsevier, vol. 94(C).

    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:pop:journl:v:8:y:2024:i:2:p:31-38. 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: Professor Catalin Vrabie (email available below). General contact details of provider: https://edirc.repec.org/data/fasnsro.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.