A PLS-SEM Neural Network Approach for Understanding Cryptocurrency Adoption

© 2013 IEEE. The majority of previous research on new technology acceptance has been conducted with single-step Structural Equation Modeling (SEM) based methods. The primary purpose of the study is to enhance the new technology acceptance based research with the Artificial Neural Network (ANN) method to enable more precise and in-depth research results as compared to the single-step SEM method. This study measures the relation between technology readiness dimension (optimism, innovativeness, discomfort, insecurity) and the technology acceptance (perceived ease of use and perceived usefulness) - and the intention to use cryptocurrency, such as bitcoin. The contribution of this study include the use of a multi-analytical approach by combining Partial Least Squares- Structural Equation Modeling (PLS-SEM) and Artificial Neural Network (ANN) analysis. First, PLS-SEM was applied to assess which factor has significant influence toward intention to use cryptocurrency. Second, an ANN was employed to rank the relative influence of the significant predictor variables attained from the PLS-SEM. The findings of the two-step PLS-SEM and ANN approach confirm that the use of ANN further verifies the results obtained by the PLS-SEM analysis. Also, ANN is capable of modelling complex linear and non-linear relationships with high predictive accuracy compared to SEM methods. Also, an Importance-Performance Map Analysis (IPMA) of the PLS-SEM results provides a more specific understanding of each factor's importance-performance

Exploring the Nexus of Cryptocurrency and Telecommunication: A Comprehensive Literature Review

The rapid evolution of cryptocurrency and telecommunication technologies has brought about significant changes and challenges in various domains. This systematic literature review paper delves into the intricate relationship between cryptocurrency and telecommunication, with a comprehensive examination of key issues, challenges, and potential solutions. By synthesizing insights from a set of 11 relevant articles, this study explores the impact of cryptocurrency on data centers, legal safeguards for block chain and cryptocurrency activities, privacy and security considerations in cryptocurrency transactions, the integration of block chain technology in 5G networks, and the diverse applications of block chain across various domains. The overarching aim of this paper is to provide a holistic understanding of the multifaceted intersection of cryptocurrency and telecommunication. It examines how these themes interconnect and influence each other, offering insights into the implications for industry stakeholders, policymakers, and researchers. By identifying common trends, gaps in the existing literature, and areas requiring further investigation, this review serves as a valuable resource for comprehending the complex dynamics of the cryptocurrency-telecommunication landscape

An Exploratory Approach to the Adoption Process of Bitcoin by Business Executives.

The purpose of this research study is to analyze the exploratory study of the adoption of Bitcoin cryptocurrency based on blockchain technology and its use as a means of payment in companies. This research is exploratory in nature. As such, an adoption model was investigated using the technology acceptance model (TAM) which was extended with new variables. The sample was made up of business executives from companies and commercial establishments (n = 248). Partial least squares structural equation modeling (PLS-SEM) was chosen as the analysis and evaluation technique for the model. The authors demonstrated that privacy has an important influence on perceived utility, and that trust has a very significant influence on privacy and perceived ease of use, thus indirectly affecting the intention to use cryptocurrencies.post-print1324 K

Analisis Faktor-Faktor yang Berpengaruh terhadap Sikap Pengguna Aset Digital Non-Fungible Token Berbasis Blockchain pada Komunitas NFT Indonesia

Blockchain is an inspiring new technology that requires a lot of attention from various researchers and companies. This technology offers various benefits, where the newest derivative of this technology is Non-Fungible Tokens (NFT). In NFT, various digital assets such as images, videos, music or virtual creations are traded. The relatively new NFT creates a lack of user knowledge to be able to utilize this technology as a digital asset for trading. On the one hand, users welcome the use of NFTs as a tool to gain financial gain, but on the other hand, there are users who doubt the long-term success of NFTs as a form of investment and see them as a temporary trend that may be detrimental in the event of a market crash. The purpose of this research is to explore various factors that can impact the attitudes of NFT users. The research used a quantitative method which was carried out at the Indonesian NFT Community, involving 377 respondents as a sample. Questionnaires were distributed online using the Google form on the Telegram platform. The data analysis used in this research is by using Structural Equation Modeling (SEM). The results of the study show that there are five factors that significantly influence the attitude of NFT users. Perceived ease of use, perceived usefulness, perceived trust, and personal innovativeness have a positive and significant effect on user attitudes, while perceived risk has a negative effect and is one of the factors that has the most impact on user attitudes than other factors, followed by perceived trust in the second position as the most dominant variable. So like any new technology, NFTs have risks and trust issues that most users consider

Examining the two-dimensional perceived marketplace influence and the role of financial incentives by SEM and ANN

In recent years, research on sustainable consumption has been particularly relevant, highlighting the importance of the collective over the individual to reduce pollution. This study focuses on the study of the perceived marketplace influence (PMI) concept in its organizational and consumer dimensions, together with the financial incentives that exist in the adoption of electric cars and their effect on green customer engagement. A sample of 382 potential buyers of electric vehicles was obtained. A new hybrid analytical approach was taken structural equation modelling and artificial neural network. The research found the most significant variables affecting purchase intention were financial incentives, followed by PMI Organization and finally PMI Consumer. The results of artificial neural network analysis confirmed all the findings of the structural equation modelling, although the importance of each PMI dimension is different for each technique used. The conclusions point to new business opportunities that can be exploited by companies selling this green technology.Funding for open access charge: Universidad de Granada / CBU

Fostering trust and overcoming psychological resistance towards cryptocurrencies and cryptoassets

This research investigates the extent to which sponsorships can be utilised to foster trust and reduce barriers to adopting new technologies. Using Crypto.com\u27s sponsorship of the 2022 FIFA World Cup as the context, this mixed-methods study utilises innovation resistance theory (IRT) and trust transfer theory (TTT) to investigate the extent to which such a sponsorship can increase trust and reduce barriers in innovative technologies such as cryptoassets, while also filling a research gap concerning consumer resistance to innovations in digital financial products and services. The findings of study 1, using a survey (n = 1081), and study 2 using interviews (n = 24) reveal that a positive image of sponsorship significantly influences favourability and interest, and trust of the product of the sponsor which subsequently reduces psychological barriers to adoption. Integrating the theoretical viewpoints of IRT and TTT, this study enhances our conceptual understanding regarding the psychological dimension of sponsorship and the extent to which a sponsorship generates interest, giving assurance and trust in the sponsor\u27s product, and removing uncertainty; thus, reducing barriers to adoption

Social Network Analysis of Cryptocurrency using Business Intelligence Dashboard

There are currently more than 10.000 cryptocurrencies available to buy from the online market, with a vast range of prices for each coin it sells. The fluctuation of each coin is affected by any social events or by several important companies or people behind it. The aim of this research is to compare three cryptocurrencies, which are Bitcoin, Ethereum, and Binance Coin, using Social Network Analysis (SNA) by visualizing them using Business Intelligence (BI Dashboard). This study uses the SNA parameters of degree, diameter, modularity, centrality, and path length for each network and its actors and their actual market price by crawling(data collecting process) from Twitter as one of the social media platforms. From the research conducted, the popularity of cryptocurrencies is affected by their market price and the activeness of their actors on social media. These results are important because they could help in the decision-making to buy cryptocurrencies with high popularity on social media because they tend to retain their value over time and could benefit from price spikes from influential people. Doi: 10.28991/HIJ-2022-03-02-09 Full Text: PD

Interest-Free Finance Model by Using Blockchain-Based Company Tokens: Research on Digital Turkish Lira (DTL) and Borsa Istanbul with Technology Acceptance Model (TAM)

Since technology benefits people in many areas, its effectiveness is increasing day by day. For this reason, many products and services have been digitized and made available to people. Especially in the last period, with the development of blockchain technology, there has been a significant change in the financial sector. Blockchain technology, which offers a decentralized transaction network, has contributed significantly to the development of digital currencies. In this context, the Central Bank of the Republic of Turkey (CBRT) started to work on Digital Turkish Lira (DTL) in 2021. In this context, it will enable the company tokens, which are proposed to be issued as a sub-unit of DTL, which is planned to use blockchain technology in its infrastructure, to be used in the financing of businesses, while also allowing investors to invest in Turkish Lira assets. In the research, it has been suggested that the company tokens to be issued under DTL can be traded on the Borsa Istanbul (BIST) and invested, as well as the relevant tokens can be traded. The proposed model has been examined within the scope of the Technology Acceptance Model (TAM), which is frequently used in the research of technological innovations. The analysis process of the research was carried out with Structural Equation Modeling (SEM). The analysis of the research was carried out with the Smartpls 3 package program. Hypotheses H3, H5, and H8 were rejected and other hypotheses were accepted. When the results of the research were analyzed, it was determined that the factors affecting the intention to use the proposed company tokens were parallel to the literature. As a result of the analysis, it has been reached that the attitude and intention towards the use of company tokens in the proposed model are positive

Factors affecting cryptocurrency adoption in digital market of Malaysia

Cryptocurrency plays an important role in today's digital currency environment. Improving cryptocurrency adoption is important for consumers and practitioners, as it improves understanding, enhances behavior, attitude, trust, and increases satisfaction. Though the lack of cryptocurrency adoption is a significant issue that arises in the digital market, cryptocurrency adoption is crucial to the support of technology capability facilitated with appropriate behavioral intention too. Considering the fact, this study intended to investigate the impact of cryptocurrency adoption in the digital market in Malaysia. This empirical study examined the role of trust (TR), social influence (SI), cryptocurrency transaction transparency (CTT), technology awareness (TA), facilitating conditions (FC), performance expectancy (PE), attitude (AT), customer satisfaction on behavioral intention (BI) and cryptocurrency adoption (CA). The study also intended to examine the role of behavioral intention as a mediator in the context of cryptocurrency adoption. In line with the research objectives, systematic random sampling was used in this study. Cross-sectional data were collected using a questionnaire at the cryptocurrency consumer of Malaysia, which produced a total of 349 usable responses. The study employed Partial Least Squares Structural Equation Modelling (PLS-SEM) for data analysis. Findings o the study revealed that TR, SI, CTT, TA, and FC positively affect CA (dependent variable) through the mediation of behavioral intention (BI) in Malaysia's digital market. On the other hand, PE, AT, and CS negatively affect cryptocurrency adoption in Malaysia's digital market. Future researchers may replicate the study in different countries in a different industry context and integrate similar constructs to broaden the current body of knowledge

Acceptance Factors for Cryptocurrencies as Payment Systems

The adoption of cryptocurrencies and blockchain technologies is an active field of research in information systems, looking at the promise and issues hampering the arrival of cryptocurrencies as a general means of payment. However, an overwhelming number of papers only look at existing users and usually limit themselves to a single cryptocurrency, mostly Bitcoin. This paper adds to the body of research by creating a taxonomy of features for cryptocurrencies as payment systems, and conducting a user study with over 500 participants asking what features are most relevant for the adoption of a cryptocurrency. We identify cost-effectiveness and data confidentiality as crucial for potential users, but also find that these two factors are followed by a wealth of convenience features that have found less emphasis in present cryptocurrency implementations