Evolutionary Game Analysis of the Partners’ Behavior in the Rural E-Payment Market of China

Wiśniewski, Jerzy Witold; Sokołowska, Ewelina; Wu, Jinghua; Dziadkiewicz, Anna

doi:10.3390/risks9120220

Cited by 3 publications

(4 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Its score value is higher than that of a nonexistent edge randomly selected. Its calculation formula is shown in (4). Where n denotes the number of extraction experiments, 𝑛 ′ indicates that the fraction of the test set is bigger than the fraction of non-existent edges, and 𝑛 ′′ indicates that the fraction of the test set is equal to the fraction of nonexistent edges.…”

Section: Evaluation Metricmentioning

confidence: 99%

See 1 more Smart Citation

Is Megamerger Better?–Based on the Link Prediction Perspective

Wang

2022

IEEE Access

View full text Add to dashboard Cite

Link prediction provides insight into the evolutionary mechanisms of complex networks by predicting missing edges. Existing research has proposed many similarity algorithms based on local information, and some link prediction algorithms typically perform better in different networks. It is generally believed that a megamerger is beneficial. In the perspective of link prediction, merging the good-performing algorithms brings higher prediction accuracy. And the more times the experiment is executed, the higher the accuracy of link prediction. Therefore, this research proposes a new link prediction algorithm based on the theory of megamerger in management and the concept of partnership, and uses ten actual complex networks for experiments to test the above two hypotheses. The experimental results show that megamerger is not applicable to the link prediction algorithm. In addition, there is no positive correlation between the increasing the quantity of experiments and improving the accuracy of the experiments, so the above two hypotheses are rejected. Hence, this research presumes that megamerger of the comprehensive information of the network, such as the resource flow between nodes, the degree of common neighbor nodes, and partnership of nodes, does not improve the accuracy of link prediction. For a refined network with a small number of nodes and a short average path length, it is recommended that the quantity of experiments be set to only ten can achieve the required accuracy of link prediction.INDEX TERMS Link prediction, megamerger, complex network.

show abstract

Section: Evaluation Metricmentioning

confidence: 99%

“…Megamerger [3] and partnership [4] are common theories in management. They are essential in inter-firm cooperation [5].…”

Section: Introductionmentioning

confidence: 99%

Is Megamerger Better?–Based on the Link Prediction Perspective

Wang

2022

IEEE Access

View full text Add to dashboard Cite

show abstract

“…Security (Lin & Nguyen, 2011), usability (Hsieh et al, 2013;Schuh & Stavins, 2016), ease of use (Jose Liebana-Cabanillas et al, 2014), and the perceived risk of using e-payment methods are crucial for the adoption of immaterial monetary transactions (Ho et al, 2020). Enhancing e-payments is advantageous for economic development, resulting in a favorable increase in public revenues (Wisniewski et al, 2020). In addition, the widespread use of mobile phones has the effect of increasing the perceived utility of online mobile e-payments among users (Garrett et al, 2014;Bailey et al, 2022).…”

Section: E-payment Behavior and Shadow Economymentioning

confidence: 99%

A Fiscal Policy Foresight Tax Model, Shadow Economy Reduction, and E-Payment Institutionalization as a Result of Knowledge Management

Varotsis¹

2022

TEL

View full text Add to dashboard Cite

Foresight is the key for the economy, the business environment, and by extension society and politics to face various risks under conditions of uncertainty, which is becoming the norm as we progress through the 21st century. This paper proposes a wealth-based income tax model with an obligatory electronic transaction legal framework to advance fiscal knowledge management in Greek government. The research was conducted using an online questionnaire that was distributed to Greek tax payers via the snowball method. Linear regression was used to examine the associations between the variables. The research results provide insight into the factors driving the enhancement of tax revenue collection via artificial intelligence software after the widespread adoption of e-transactions. A fiscal tax e-payment reform policy based on an artificially intelligent tax foresight model succeeds in reducing income disparities caused by overtaxing honest taxpayers, thereby shrinking the shadow economy. With the widespread adoption of e-payments and complete digitization of financial transactions, the results of this study can serve as a foundation for the advancement of fiscal knowledge management and compliance with tax behavior. This study emphasizes the importance of planning ahead for taxes and coordinating information in order to reform fiscal policy for the better.

show abstract

“…Evolutionary game theory assumes that game plays have the characteristics of finite rationality, and game subjects repeatedly play dynamic and repetitive games until they find the optimal stable strategy equilibrium point in the game system [ 18 , 19 ]. Most researchers have used two-party or three-party game players, of which two-party game players consist mainly of government and enterprises [ 20 ], financial institutions and users [ 21 ], and enterprises and the public [ 22 ]. For example, Zhang et al [ 23 ] constructed an evolutionary game framework for supply chain enterprises and analyzed the evolution path of enterprises’ green behavior strategies, indicating that enterprises need to reduce green investment costs and participate in collaborative management.…”

Section: Introductionmentioning

confidence: 99%

Role of Enterprise Alliance in Carbon Emission Reduction Mechanism: An Evolutionary Game Analysis

Geng

Yang

2022

IJERPH

View full text Add to dashboard Cite

This study constructs the enterprise alliance game party, designs the mechanism for which the alliance and the government are jointly responsible for enterprise carbon emission reduction work, and explores the evolutionarily stable strategies (ESSs) of the government, enterprises, and enterprise alliance under the policy of carbon tax and carbon trading with numerical simulations. The results show that: (1) the ESSs of the enterprise alliance are always to give technical support to enterprises; (2) the carbon trading price below the critical value can mobilize the enthusiasm of enterprises for honest emission reduction; (3) the carbon tax rate has a negative correlation with enterprise emission reduction behavior; (4) when the underreported carbon emissions of enterprises exceed the critical value, the enterprise will evolve into dishonest emission reduction. The high carbon emissions underreported by enterprises will mobilize the enthusiasm of the government to choose supervision. This study may be of certain reference significance to optimize the existing carbon emission reduction mechanism and achieve win-win cooperation between enterprises and government in the carbon trading market.

show abstract

Evolutionary Game Analysis of the Partners’ Behavior in the Rural E-Payment Market of China

Cited by 3 publications

References 28 publications

Is Megamerger Better?–Based on the Link Prediction Perspective

Is Megamerger Better?–Based on the Link Prediction Perspective

A Fiscal Policy Foresight Tax Model, Shadow Economy Reduction, and E-Payment Institutionalization as a Result of Knowledge Management

Role of Enterprise Alliance in Carbon Emission Reduction Mechanism: An Evolutionary Game Analysis

Contact Info

Product

Resources

About