Impact of Application of Big Data on Cryptocurrency

Sharma, Sandeep; Modanval, Rajiv Kumar; Gayathri, N.; Kumar, S. Adish; Ramesh, C.

doi:10.1002/9781119621201.ch10

Cited by 19 publications

(2 citation statements)

References 23 publications

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“…These risks could be significantly lowered by adopting eXtensible Business Reporting Language (XBRL), which has shown to increase reliability, reduce workflow, decrease human errors, and lower the risk of fraud (Monsteanu & Faccia, 2020). Blockchain was designed to enable the decentralization of data and can manage investor concerns of trust, identity, and privacy through its evolving architecture (Sharma et al, 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of Crypto-assets, Blockchain Investor Protection, and U.S. Market Risks using the Mlogit Classifier Model

Kasztelnik,

Abdulrahma

2023

JBES

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We present insights into novel and complex issues regarding cryptocurrency activities, the related investor protection, and blockchain market risks. Crypto digital assets embody global economic ambition with their significant growth and creativity levels. This study employs a novel research approach using multinominal logit (mlogit) classifier modeling techniques to present unique findings regarding crypto-assets. The machine learning model confirmed better accuracy compared to previous research studies. These findings could contribute to a better understanding of the impact of business consumers on cryptocurrencies and blockchain used by business experts and policymakers worldwide. The research results should help future studies develop more machine learning models to ensure more accurate findings and discussions. The mlogit method research presented here confirms that business artificial intelligence methods and human domain knowledge interpretation can help current business leaders to better understand essential business decisions and their significant role in modern business behavioral prescriptive analytics. We derive important perspectives about cryptocurrency and blockchain strategy improvements, which may produce positive policy changes by enhancing the quality of investor protection in blockchain worldwide.

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Section: Literature Reviewmentioning

confidence: 99%

Analysis of Crypto-assets, Blockchain Investor Protection, and U.S. Market Risks using the Mlogit Classifier Model

Kasztelnik,

Abdulrahma

2023

JBES

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“…In web analytics, several metrics and KPIs are utilised to aggregate online usage data via comprehensible and efficient methods. Different studies have been conducted to examine the implications of web analytics and big data in the aviation, logistics, and cryptocurrency domains [4,10,11].…”

Section: Introductionmentioning

confidence: 99%

The Effects of Cryptocurrency Trading Websites on Airlines’ Advertisement Campaigns

Σακάς

Giannakopoulos

Reklitis

et al. 2021

JTAER

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In future years, airline companies will be leaning more and more towards cryptocurrencies to implement their digital marketing strategies as leaders seek to gain an understanding of the factors affecting airlines’ visibility parameters. Cryptocurrency investment websites are currently experiencing rising demand, making them an appropriate site for paid advertisements. The above factors suggest the need for airlines to harvest cryptocurrency investment and platform users in their favour. To this end, it can be beneficial for airlines’ web promotions to link certain web analytics metrics to cryptocurrency trading site metrics. For research purposes, web analytics data were monitored and gathered for 2 consecutive years from 10 globally leading cryptocurrency trading companies and 10 airline websites. A three-stage model was adopted by the authors. In the first stage, statistical analysis was implemented using cryptocurrency and airline metrics, followed by fuzzy cognitive mapping and agent-based modelling stages. The findings of the study indicate that engagement with cryptocurrency trading websites has a positive impact on airline websites’ global ranking and visibility parameters. The outcomes of this research provide noteworthy digital marketing strategies which can be addressed by airline companies to increase their website visitors and optimise visibility parameters with the assistance of cryptocurrency trading websites.

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