The adoption of cryptocurrency as a disruptive force: Deep learning-based dual stage structural equation modelling and artificial neural network analysis

Abbasi, Ghazanfar Ali; Tiew, Lee Yin; Jin-quan, Tang; Goh, Yen-Nee; Ramayah, T.

doi:10.1371/journal.pone.0247582

Cited by 84 publications

(78 citation statements)

References 85 publications

(192 reference statements)

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“…Moreover, factors that affect customer loyalty in the banking industry of Brazil were studied [ 88 ]. With regard to financial issues, UTAUT2 was used with trust and personnel innovativeness to measure intention to adopt cryptocurrency [ 89 ].…”

Section: Search Results and Statistical Information Of Articlesmentioning

confidence: 99%

“…The combination of SEM and ANN in this type of research involves the adoption of technology, concern for resistance to innovation and enhancing perceived responsiveness [ 58 ]. Moreover, the use of deep learning-based dual-stage PLS-SEM and ANN analysis provides more in-depth test findings than a single-step PLS-SEM, allowing for the identification and prediction of variables [ 89 ]. PLS-SEM outperforms CB-SEM in terms of the statistical precision of causal theories [ 87 ].…”

Section: Discussionmentioning

confidence: 99%

“…In addition, ANN deals with linear and nonlinear associations because it depends on the black box process of the algorithm, which is the basis for prediction [ 99 ]. Thus, the multilayer expectations of a feedforward backpropagation (BP) ANN algorithm have generated normalised importance [ 89 ]. In accordance with [ 18 , 55 , 56 , 62 , 70 ], the benefits of combining SEM with ANN are consumer preference analysis, smartphone repurchase, illustrating the mechanism of trust in online advertising and predicting the motivators that affect cloud computing adoption.…”

Section: Discussionmentioning

confidence: 99%

“…The results differ under a multiple set of deep ANN architecture, and a comparison can be made amongst the results of previous studies to determine the best architecture for their scenarios [ 52 ]. Deep ANN requires researchers to equate ANN findings with one and more than one layer to achieve consensus on the right architecture [ 89 ]. Thus, ANN software has three activation functions: identity, hyperbolic tangent and sigmoid).…”

Section: Discussionmentioning

confidence: 99%

See 3 more Smart Citations

Hybrid artificial neural network and structural equation modelling techniques: a survey

Albahri

Alnoor

Zaidan

et al. 2021

Complex Intell. Syst.

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Topical treatments with structural equation modelling (SEM) and an artificial neural network (ANN), including a wide range of concepts, benefits, challenges and anxieties, have emerged in various fields and are becoming increasingly important. Although SEM can determine relationships amongst unobserved constructs (i.e. independent, mediator, moderator, control and dependent variables), it is insufficient for providing non-compensatory relationships amongst constructs. In contrast with previous studies, a newly proposed methodology that involves a dual-stage analysis of SEM and ANN was performed to provide linear and non-compensatory relationships amongst constructs. Consequently, numerous distinct types of studies in diverse sectors have conducted hybrid SEM–ANN analysis. Accordingly, the current work supplements the academic literature with a systematic review that includes all major SEM–ANN techniques used in 11 industries published in the past 6 years. This study presents a state-of-the-art SEM–ANN classification taxonomy based on industries and compares the effort in various domains to that classification. To achieve this objective, we examined the Web of Science, ScienceDirect, Scopus and IEEE Xplore® databases to retrieve 239 articles from 2016 to 2021. The obtained articles were filtered on the basis of inclusion criteria, and 60 studies were selected and classified under 11 categories. This multi-field systematic study uncovered new research possibilities, motivations, challenges, limitations and recommendations that must be addressed for the synergistic integration of multidisciplinary studies. It contributed two points of potential future work resulting from the developed taxonomy. First, the importance of the determinants of play, musical and art therapy adoption amongst autistic children within the healthcare sector is the most important consideration for future investigations. In this context, the second potential future work can use SEM–ANN to determine the barriers to adopting sensing-enhanced therapy amongst autistic children to satisfy the recommendations provided by the healthcare sector. The analysis indicates that the manufacturing and technology sectors have conducted the most number of investigations, whereas the construction and small- and medium-sized enterprise sectors have conducted the least. This study will provide a helpful reference to academics and practitioners by providing guidance and insightful knowledge for future studies.

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Section: Search Results and Statistical Information Of Articlesmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Hybrid artificial neural network and structural equation modelling techniques: a survey

Albahri

Alnoor

Zaidan

et al. 2021

Complex Intell. Syst.

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“…is booming. Hence, convenient and digital financial services are highly required to support the running of business [ 13 ].…”

Section: Literature Reviewmentioning

confidence: 99%

An intelligent cross-border transaction system based on consortium blockchain: A case study in Shenzhen, China

Dong

et al. 2021

PLoS ONE

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Cross-border transactions have been more and more popular around the world. However, the current cross-border transactions still have risks and challenges, e.g., differences in regulation policies and unbalanced profits of banks. To address this critical issue, we construct a new framework for the transaction system with the support of blockchain technology. In this paper, we propose a new consortium blockchain system, namely asymmetric consortium blockchain (ACB), to ensure the implementation of cross-border transactions. Different from traditional consortium blockchain, the new blockchain system could support the supernode to regulate all the transactions timely. Furthermore, the new smart contract is designed to lower the opportunity loss for each node and make the profits allocation system fairer. In the end, the numerical experiments were carried out based on the transactions of Shenzhen and Hong Kong. The results show that the proposed ACB system is efficient to make the profit allocation fairer for the participants and keep intelligent for the new cross-border transaction system.

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End-User Adoption of Cryptocurrency: A Literature Review

Abooleet

Fang

2022

HCI International 2022 - Late Breaking Papers. Design, User Experience and Interaction

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The adoption of cryptocurrency as a disruptive force: Deep learning-based dual stage structural equation modelling and artificial neural network analysis

Cited by 84 publications

References 85 publications

Hybrid artificial neural network and structural equation modelling techniques: a survey

Hybrid artificial neural network and structural equation modelling techniques: a survey

An intelligent cross-border transaction system based on consortium blockchain: A case study in Shenzhen, China

End-User Adoption of Cryptocurrency: A Literature Review

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