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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
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    References listed on IDEAS

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    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. 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.
    3. 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).
    4. Yousaf, Imran & Riaz, Yasir & Goodell, John W., 2023. "Energy cryptocurrencies: Assessing connectedness with other asset classes," Finance Research Letters, Elsevier, vol. 52(C).
    5. Antoon Spithoven, 2019. "Theory and Reality of Cryptocurrency Governance," Journal of Economic Issues, Taylor & Francis Journals, vol. 53(2), pages 385-393, April.
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