Taxation issues for sharing economic business models

Babenko, Vitalina; Nehrey, Maryna; Starešinić, Berislava; Wang, Shoujin

doi:10.54216/ajbor.040101

Cited by 5 publications

(3 citation statements)

References 1 publication

(1 reference statement)

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“…Economic crises often have precursors, which are reflected in abnormal changes in some economic factors [ 19 ]. Therefore, it is necessary to establish an indicator system.…”

Section: Construction Methods Of Economic Security Early Warning Syst...mentioning

confidence: 99%

Construction of Economic Security Early Warning System Based on Cloud Computing and Data Mining

Yuan

Xie

Tan

2022

Computational Intelligence and Neuroscience

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Economic security is a core theoretical issue in economics. In modern economic conditions, the ups and downs caused by economic instability in any economic system will affect the stability of the financial market, bring huge losses to the economy, and affect the development of the whole national economy. Therefore, research on the regularity of economic security and economic fluctuations is one of the important contents to ensure economic stability and scientific development. Accurate monitoring and forecasting of economic security are an indispensable link in economic system regulation, and it is also an important reference factor for any economic organization to make decisions. This article focuses on the construction of an economic security early warning system as the main research content. It integrates cloud computing and data mining technologies and is supported by CNN-SVM algorithm and designs an early warning model that can adaptively evaluate and warn the economic security state. Experiments show that when the CNN network in the model uses ReLU activation function and SVM uses RBF function, the prediction accuracy can reach 0.98, and the prediction effect is the best. The data set is verified, and the output Q province’s 2018 economic security early warning comprehensive index is 0.893. The 2019 economic security early warning index is 0.829, which is consistent with the actual situation.

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“…Economic crises often have precursors, which are reflected in abnormal changes in some economic factors [ 19 ]. Therefore, it is necessary to establish an indicator system.…”

Section: Construction Methods Of Economic Security Early Warning Syst...mentioning

confidence: 99%

Construction of Economic Security Early Warning System Based on Cloud Computing and Data Mining

Yuan

Xie

Tan

2022

Computational Intelligence and Neuroscience

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“…Clear guidelines on taxation ensure that entrepreneurs contribute to public funds fairly. Ambiguities or inconsistencies in tax regulations may create challenges for entrepreneurs and hinder the growth of the sharing economy sector [16,53,54].…”

Section: The Effect Of Regulatory Environment In Sharing Economy Entr...mentioning

confidence: 99%

Entrepreneurship in the sharing economy: A review of business models and social impacts

Glory Ugochi Ebirim,

Ifeyinwa Francisca Unigwe,

Ndubuisi Leonard Ndubuisi

et al. 2024

Int. J. Sci. Res. Arch.

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The emergence of the sharing economy has fundamentally transformed conventional company structures, presenting novel prospects for entrepreneurs and questioning existing conventions across diverse industries. This study offers an extensive examination of entrepreneurship within the sharing economy, delving into various company models and scrutinising its societal ramifications. The sharing economy, which involves peer-to-peer transactions mediated by internet platforms, has seen the rise of new entrepreneurial businesses. This paper explores the diverse and complex nature of sharing economy business models, encompassing various platforms such as ride-sharing, accommodation-sharing, asset-sharing, and skill-sharing. A thorough examination of each model to explore the fundamental concepts, operational processes, and crucial aspects that contribute to entrepreneurial success in this rapidly changing environment is being explored. This study examines the impact of different business models on consumer behaviour, market dynamics, and social developments. The assessment examines the good and negative outcomes, taking into account factors such as improved efficiency in resource utilization, economic empowerment of individuals, and potential difficulties linked to regulatory issues, labor rights, and market competitiveness. This paper focuses on the essential role of technology and digital platforms in promoting entrepreneurship within the sharing economy. Through an analysis of the impact of digitalization on market accessibility, trust mechanisms, and scalability, the role of technology as a driver for entrepreneurial innovation and expansion is emphasized. Additionally, it analyses the impact of regulatory frameworks on entrepreneurial activity, investigating the difficult balance between stimulating innovation and maintaining consumer protection, fair competition, and social equality. In conclusion, this research gives useful insights into the entrepreneurial environment of the sharing economy, presenting a comprehensive knowledge of diverse business models and their societal implications. By putting light on both opportunities and problems, thereby contributing to the current conversation on the role of entrepreneurship in determining the future of the sharing economy and its consequences for society at large.

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“…The third is that the digital economy is a multi-layered business model. A multilayered business model refers to the fact that different user groups in the same market conduct activities through a unified intermediary or platform, and the activities of each group will have an impact on the results of the other group [15,16]. In the digital economy, the multi-level business model has the characteristics of flexibility and remote accessibility, which facilitates enterprises to deploy the multi-level business model globally.…”

Section: Characteristics Of the Digital Economymentioning

confidence: 99%

Construction of Enterprise Marketing Management System in Digital Economic Environment from the Perspective of Green Ecology

2023

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In the context of the digital economy, the speed of enterprise development is becoming faster and faster. To understand and establish the environment of network marketing, we must first understand the obstacles. Successful establishment depends on its promotion in society and the active participation of the government and enterprises. Only with the active cooperation of all parties can network marketing be rapidly established. At present, the marketing methods adopted by many enterprises are very traditional. These management methods are not only inefficient, but also present problems such as poor real-time information, a low degree of informatization, information asymmetry and closed marketing data. In order to address these problems, this paper proposes to use digital economic means to scientifically manage enterprise marketing. Here we examine the marketing effect of enterprises and determine the needs of consumers by constructing an enterprise marketing management system, so that enterprises can observe trends in consumer needs and consumer markets at any time, and make timely responses to markets and technological changes. We use a B/S model to build an enterprise marketing management system that can develop steadily in a green ecology. This paper mainly uses the mean clustering algorithm to analyze the performance of the enterprise marketing management system. Through the experiment, it is found that a good marketing management system can help enterprises improve economic efficiency and data processing ability. During the operation, it was found that the transaction success rate of the system reached 100%. Most enterprises responded within 1.5 s. The functional changes of the enterprise before and after the B/S architecture enterprise marketing management system were analyzed and it was found that the real-time information acquisition by enterprise employees, the sharing of marketing data, the degree of informatization of the system, the security of system information and the data processing capabilities had all been improved. Among these, the degree of informatization of enterprises improved the fastest and went from 48% to 94%. Under the enterprise marketing management system, the annual economic income of the enterprise increased by 1.35 million yuan, which was a year-on-year increase of 7.2%. The experimental data showed that under the green ecological perspective, the enterprise marketing management system based on the digital economic environment has certain practicality, which can promote the healthy development of enterprise marketing management.

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Taxation issues for sharing economic business models

Cited by 5 publications

References 1 publication

Construction of Economic Security Early Warning System Based on Cloud Computing and Data Mining

Construction of Economic Security Early Warning System Based on Cloud Computing and Data Mining

Entrepreneurship in the sharing economy: A review of business models and social impacts

Construction of Enterprise Marketing Management System in Digital Economic Environment from the Perspective of Green Ecology

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