Should I share it? Factors influencing fake news-sharing behaviour: A behavioural reasoning theory perspective

Technological Forecasting and Social Change, Journal Year: 2023, Volume and Issue: 193, P. 122647 - 122647

Published: May 30, 2023

Language: Английский

---

Factors influencing the behavioral intention to use Cryptocurrency among Saudi Arabian public university students: Moderating role of financial literacy

Cogent Business & Management, Journal Year: 2023, Volume and Issue: 10(1)

Published: Feb. 20, 2023

This study aims to investigate the factors that can predict behavioral intention of students at public universities in Saudi Arabia use Cryptocurrency. The UTAUT model was enhanced with incorporation security and awareness develop theoretical for this investigation. paper investigates impact performance expectancy, effort facilitating condition, social influence, security, on moderating role financial literacy also investigated associations between proposed adoption SmartPLS 3.2.8 software used analyse 344 responses collected via an online survey. Findings showed positively Moreover, moderates intention. findings offer valuable insights Cryptocurrency users, developers, government KSA.

Language: Английский

---

Factors Affecting Trust and Acceptance for Blockchain Adoption in Digital Payment Systems: A Systematic Review

Future Internet, Journal Year: 2024, Volume and Issue: 16(3), P. 106 - 106

Published: March 21, 2024

Blockchain technology has become significant for financial sectors, especially digital payment systems, offering enhanced security, transparency, and efficiency. However, there is limited research on the factors influencing user trust in acceptance of blockchain adoption systems. This systematic review provides insight into key impacting consumers’ perceptions behaviours towards embracing technology. A total 1859 studies were collected, with 48 meeting criteria comprehensive analysis. The results showed that privacy, regulation are most adoption. influential identified Unified Theory Acceptance Use Technology (UTAUT) model include performance expectancy, effort social influence, facilitating conditions. Incorporating a could be viable approach to tackling obstacles ensuring successful integration Understanding these crucial creating favourable atmosphere adopting payments. User-perspective systems still insufficient, this aspect requires further investigation. not been sufficiently conducted from user’s perspective, scope it carried out. aims shed light so full potential can realised. their intricate connections imperative fostering conducive environment widespread

Language: Английский

---

Multifractal analysis of Bitcoin price dynamics

Journal of Business Economics and Management, Journal Year: 2025, Volume and Issue: 26(1), P. 21 - 48

Published: Feb. 3, 2025

This research employs Multifractal Detrended Fluctuation Analysis (MFDFA) to investigate multifractal properties in financial variables, including Bitcoin prices and economic indicators. Spanning 2019–2022, the analysis reveals scaling not only prices, but also indicators such as inflation rates energy commodity prices. The non-linear singularity spectra unveil multifaceted nature of properties. Temporal exposes intriguing trends multifractality with implications for market efficiency. Furthermore, correlation unveils connections among For instance, a positive between oil suggests similar forces. log-log plot fluctuation function Fq versus lag size demonstrates power-law relationship, characteristic systems. empirical data’s alignment space self-similarity time series, supporting multifractality. calculated Hurst exponents values suggest varying degrees across years, 2021 exhibiting highest degree 2022 lowest. an asymmetry index (0.5767) deviating from 0.5 indicates that is symmetric. enhances risk assessment portfolio optimization finance. It challenges Efficient Market Hypothesis (EMH), emphasizing significance MFDFA comprehending factor’s relationships.

Language: Английский

---

Analysis of Factors Affecting Use Behavior towards Mobile Payment Apps: A SEM Approach

Human Behavior and Emerging Technologies, Journal Year: 2023, Volume and Issue: 2023, P. 1 - 13

Published: March 22, 2023

The main aim of this research study is to examine the impact five independent variables viz. performance expectancy, effort social influence, facilitating conditions, and hedonic motivation on behavioral intention use mobile payment apps. This further aimed at investigating influence behavior app users. strives investigate people who have already used apps like Google Pay, PhonePe, PayTM previously for making payments products services they purchased from various sellers. researchers UTAUT2 theory relationship between dependent mentioned above. data was collected 618 users Vidarbha, M.S., India. Availability sampling purposive techniques were adopted final selection respondents. A structured questionnaire designed by collecting required primary data. six proposed hypotheses tested using SMART-PLS 3.3.5 software. results indicated support all hypotheses. model explained a substantial amount variance in ( $R^2=71.8$ % id="M2"> 76.5 %) towards variables. Facilitating conditions exhibited strongest effect intention.

Language: Английский

---

Is Bitcoin ready to be a widespread payment method? Using price volatility and setting strategies for merchants

Electronic Commerce Research, Journal Year: 2024, Volume and Issue: 24(2), P. 1267 - 1305

Published: Feb. 5, 2024

Language: Английский

---

Exploring the Dynamics of Brent Crude Oil, S&P500 and Bitcoin Prices Amid Economic Instability

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 31366 - 31385

Published: Jan. 1, 2024

In this paper, we mainly investigate three variables from the price volatility point of view: Brent crude oil, S&P500 and Bitcoin (BTCUSD), aiming to underline impact volatility. oil accounts for two-thirds market. Its has a significant on environmental, transportation, mobility, economic social aspects that affect sustainability. This paper conducts an extensive examination forecasting capabilities various GARCH (Generalized Autoregressive Conditional Heteroskedasticity) models, identifying most suitable model estimating Value at Risk (VaR) price. The assessment VaR different models is carried out using Kupiec's Probability Failure (POF) test Christoffersen's test. study leverages data spanning 2019 2023. Additionally, prove robustness further consider West Texas Intermediate (WTI) Dubai prices are dominant in U.S Asian investigation identifies TGARCH(1,1) Skewed Student as optimal choice among 9 considered estimation. results show TGARCH surpasses other study, proving its superiority facilitating A 0.044 with 95% confidence level means there chance portfolio will not lose more than 4.4% value. By incorporating skewness addition asymmetry, GARCH-type provide realistic representation underlying return distribution. Furthermore, appropriate WTI EGARCH(1,1) Student, coverage 0.39. 0.17. Both have exceeds 5%, implying conservative approach potential losses. unidirectional causalities BTCUSD→BRENT BTCUSD→S&P500 identified. current research practical implications both importing exporting countries, policy makers investors. For companies sector, informs operational decisions, such production levels, capital expenditure inventory management, by providing insights into market risk. Moreover, understanding risks associated aids long-term strategic planning.

Language: Английский

---

Adoption Factors of FinTech: Evidence from an Emerging Economy Country-Wide Representative Sample

International Journal of Financial Studies, Journal Year: 2022, Volume and Issue: 11(1), P. 9 - 9

Published: Dec. 29, 2022

Adoption factors of Financial Technology (Fintech) services have been the subject investigation in a growing body extant literature. Macro-level as well user-specific that contribute to adoption customer-facing fintech studied. Emerging market studies mostly considered targeted demographic and socio-economic segments, limiting their ability reflect wide spectrum relevant factors. We conducted nationwide representative survey 1282 individuals Bangladesh. A total 16 administrative districts from all 8 divisions were included. Addressing sample imbalance with Synthetic Minority Oversampling Technique (SMOTE), we deployed Recursive Feature Elimination (RFE) reduce number customer features down most important. Using Library Large Linear Classification (LIBLINEAR) for multivariate Logistic Regression, identified significant predict among individual respondents. found customers less likely adopt if they had higher reported levels concern security, information secrecy, limited government control, high service intuitiveness obstacles. Our evidence suggests these constitute prominent factor behind adoption, opposed variables, example. findings hold insights providers policy makers.

Language: Английский

---

Bitcoin adoption in online payments: examining consumer intentions and word-of-mouth recommendations

Future Business Journal, Journal Year: 2024, Volume and Issue: 10(1)

Published: Feb. 19, 2024

Abstract Online retailers in emerging markets like South Africa are adopting Bitcoin payments. This study explores factors driving consumer adoption and word-of-mouth (WOM) recommendations for online transactions. Using an integrated model combining valency theory, social contagion the technology acceptance (TAM), we analyse data from 521 African shoppers. Findings reveal that perceived usefulness, ease of use, pressures, trust, risk significantly influence both WOM. Importantly, self-efficacy moderates relationship between these behaviour. research contributes to literature by offering a comprehensive understanding adoption. For business policy actors, enhancing can foster concerns, encourage positive WOM, ultimately aiding successful implementation promotion.

Language: Английский

---

Examining the Role of Social Media in Fostering Responsible Consumption: Insights from Bitcoin Adoption Trends (2015–2023)

Cleaner and Responsible Consumption, Journal Year: 2025, Volume and Issue: unknown, P. 100266 - 100266

Published: March 1, 2025

Language: Английский

---