Consumer-based modeling and ranking of the consumption factors of cryptocurrencies

Sobhanifard, Yaser; Sadatfarizani, Seyedjavad

doi:10.1016/j.physa.2019.121263

Cited by 21 publications

(15 citation statements)

References 12 publications

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“…EFA is a multivariate method that has two primary purposes. The first is finding the minimum number of factors with the maximum amount of information and the second purpose is to identify how indicators used empirically are configured in factors that are not directly observed, representing the facets or dimensions of the phenomenon being investigated (Sobhanifard and Sadatfarizani, 2019; Johnson and Wichern, 2007).…”

Section: Resultsmentioning

confidence: 99%

Exploratory modelling and ranking of the trust factors of messages about organic foods in social networks

Sobhanifard

Eshtiaghi

2020

BFJ

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PurposeThe purpose of this paper is to explore a model and note the ranking of the trust factors of messages about organic food in social networks.Design/methodology/approachThe research was divided into four phases. The first employed the literature review about Trust, Trust of products, Trust of organic foods and Trust in the social networks. This review was prepared as some hypothesis about the trust of messages about organic food in the social network. The second employed a focused interview to supplement the mentioned hypothesis to 31 factors that affect the trust of messages about organic food in social networks. In the third phase, 300 forms were used to collect information from Iranian consumers for exploratory factor analysis. Finally, neural networks were used to determine the ranking of the mentioned factors.FindingsThe results show 31 factors that affect the trust of messages about organic food in social networks. The results of this study showed that Iranian and international organic foods producers may be able to spread messages of trust about their products in social networks by attending to these 31 factors. This study also explored a model constructed using EFA that showed that six factors have a positive effect on the level of trust of messages about organic food in social networks.Practical implicationsThis research effectively helps organic food producers to better understand the trust factors and ways to improve that trust in cyberspace marketing plans and to increase their sales.Originality/valueFor the first time, this research seeks a model for the factors affecting consumer trust in organic foods in social networks, and in the next step, it ranks these factors with artificial neural networks.

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Section: Resultsmentioning

confidence: 99%

Exploratory modelling and ranking of the trust factors of messages about organic foods in social networks

Sobhanifard

Eshtiaghi

2020

BFJ

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“…Since this test is based on populations' average rating, it can rank related variables as populations. (Sobhanifard & Sadatfarizani, 2019). Tables 10 and 11 show Friedman's test results for the ranking of effective care training factors for patients with COVID-19 through social network messages.…”

Section: Friedman Testmentioning

confidence: 99%

Effective care training for patients with COVID-19 through social network

Sobhanifard

Soltanmohammadi

2021

Interactive Learning Environments

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This study explores effective care training factors for patients with coronavirus disease 2019 (COVID-19) through social network message combining qualitative and quantitative methods. The research was conducted in two phases. In the first phase, based on the theoretical saturation approach, active social networking audiences were sampled and questioned in the field of COVID-19 learning. In this regard, 38 audiences interviewed and based on thematic analysis 20 non-repetitive features (basic them), five organizing themes, and a thematic network extracted. In the second phase, 11 experts were used to rank these extracted basic and organizing themes using the DEMATEL as a quantitative method. Finally, the results were tested using a one-sample T-test and Spearman correlation by a more significant number of social network users. The thematic analysis results introduce 20 basic themes, five organizing themes, and network themes for effective care training factors for patients with COVID-19 through the social network. Indeed, it can be concluded that the performed network themes and DEMATEL entails a unique model in this context. This model shows useful messages for COVID-19 training in the social network under the influence of five factors: simplicity, multimedia, validity, availability, and generalization.

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“…Consequently, ICT funds remain not fully used [15]. They can be actively used for mining, forging (minting) and ICO cryptocurrencies [16].…”

Section: Analysis Of the Potential Of Digital Youth Entrepreneurship mentioning

confidence: 99%

“…Human potential. Evaluation of the RG of young people by structure (total, urban, rural) and age groups(15)(16)(17)(18)(19), 20-24, 25-29, 30-34 years) revealed the following.According to the dynamics of the total number of young people 2005-2018 (Figure 1), the group 30-34 has the highest positive median RG value (Me = 1.67%) with the smallest variance (Ϭ 2 = 0.91). Negative median RG value in two groups of 15-19 (Me = -2.84%) and 20-24 (Me = -3.05%) with dispersion (Ϭ 2 = 14.57) and (Ϭ 2 = 15.91), respectively.Source: calculated and built according to the Federal State Statistics Service of the Russian Federation.…”

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confidence: 99%

Analysis of the Potential of Digital Youth Entrepreneurship Development in Russia

Смирнов¹,

Semenov²,

Zakharova³

et al. 2020

Proceedings of the Ecological-Socio-Economic Systems: Models of Competition and Cooperation (ESES 2019)

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This study provides the analysis of the potential of digital youth entrepreneurship development in Russia. Research rationale is associated with increased global competition relating to the approaching recession and the active use by world leaders of non-market methods of struggle that violate the free trade principles of the World Trade Organization. The use of non-market methods is facilitated by periodical recession that occurs almost every decade, and the next one can happen at any time. During periods of cyclical recession in global economy, the problem of increased youth unemployment is growing. The growth of youth unemployment is especially significant in developing countries, including Russia. Results of the analysis of the potential of digital youth entrepreneurship development in Russia revealed favorable conditions for the implementation of Blockchain and Smart Contracts technologieshigh rates of urbanization; significant differences in the growth rate of cash in circulation (outside the Bank of Russia) from the exchange turnover on transactions with real commodity; unused information and communication technology funds; growing support for both established and nascent formal and informal development institutions. Growing global competition and escalated trade war between the United States of America and China stimulate the accelerated development of digital entrepreneurship including that in the area of youth entrepreneurship that is of great current interest for the International Labor Organization and the United Nations. World trade slowdown and increased global competition, in presence of sanctions against Russia and trade war between China and the USA, create conditions for the technological crypto union of Russia and China. The technological crypto union of Russia and China will contribute to: the creation of global Blockchain blocks, new structures to ensure the functioning of cryptocurrency platforms, mining; sale to investors of a fixed number of new units of cryptocurrencies; using the potential of creative youth intellectually capable of quickly mastering new information and communication technologies.

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Consumer-based modeling and ranking of the consumption factors of cryptocurrencies

Cited by 21 publications

References 12 publications

Exploratory modelling and ranking of the trust factors of messages about organic foods in social networks

Exploratory modelling and ranking of the trust factors of messages about organic foods in social networks

Effective care training for patients with COVID-19 through social network

Analysis of the Potential of Digital Youth Entrepreneurship Development in Russia

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