About the Journal

Journal of Economic Theory and Business Management is peer-reviewed journal of Southern United Academy of Sciences published in the field of Economics, Finance and Business. The journal registers independent DOI and ARK for each article. The DOI prefix is ​​10.70393 and the ARK prefix is ​​40704.

ISSN 3006-4953 (Print), ISSN 3006-4961 (Online), International CODEN (CAS): JETBAU

The journal focuses on the following fields:

  • Economy - Macroeconomics, Microeconomics, Development Economics
  • Finance - Corporate Finance, Investment Banking, Personal Finance
  • Business - Entrepreneurship, Business Strategy, Business Ethics
  • Trading - International Trade, Forex Trading, Commodity Trading
  • Commerce - E-Commerce, Retail Management, Wholesale Trade
  • Logistics - Supply Chain Management, Inventory Management, Freight Forwarding
  • Transportation - Public Transportation, Transportation Engineering, Logistics Optimization
  • Tax - Tax Policy, Tax Planning, International Taxation
  • Management - Project Management, Operations Management, Strategic Management
  • Accounting - Financial Accounting, Managerial Accounting, Auditing
  • Industrial Economy - Industrial Policy, Industrial Organization, Industrial Development
  • Supervision - Regulatory Supervision, Corporate Governance, Risk Management
  • Law - Commercial Law, Contract Law, Intellectual Property Law

All articles published by JCTAM are indexed by OpenAIRE, BASE, WorldCat and ICI.

(OpenAIRE - DataSources | BASE - Bielefeld Academic Search Engine | WorldCat - OCLC)

All articles published are rigorously reviewed meeting the Journal Quality standards.

Announcements

Current Issue

Vol. 1 No. 6 (2024)
					View Vol. 1 No. 6 (2024)

All content published in this issue has undergone peer review and strict repetition rate checks have been conducted.

Number of articles in this issue: 5
Number of pages in this issue: 38

If you have any questions about the content of this issue, you can contact each author via email. For questions about the journal itself, you can directly contact SUAS Press.

Published: 2024-12-16

Articles

  • Authors: Zuen Cen, Yuxin Zhao
    Resource Type: Article
    Disciplines: Human-Computer Interaction | Subjects: Real-time Personalization
    Publication ID: v1n6a01
    Abstract: This study explores the potential of real-time personalization to enhance user engagement in web applications through adaptive interfaces. Although traditional static interfaces are reliable, they often fail to meet the dynamic and diverse needs...
    1-7
    DOI Icon Abstract views: 48 | DOI Icon PDF downloads: 27 | DOI Icon references: 50
    DOI Icon DOI: 10.70393/6a6574626d.323332
    DOI Icon ARK: ark:/40704/JETBM.v1n6a01
  • Authors: Zuen Cen, Yuxin Zhao
    Resource Type: Article
    Disciplines: Business and Management | Subjects: Smart Home Market
    Publication ID: v1n6a02
    Abstract: Artificial Intelligence (AI)-driven voice assistants, such as Amazon's Alexa and Google Assistant, have become essential components in modern smart home ecosystems, revolutionizing the way users interact with their environments. These voice...
    8-14
    DOI Icon Abstract views: 55 | DOI Icon PDF downloads: 27 | DOI Icon references: 44
    DOI Icon DOI: 10.70393/6a6574626d.323333
    DOI Icon ARK: ark:/40704/JETBM.v1n6a02
  • Authors: Zhonglin Zhao
    Resource Type: Article
    Disciplines: Artificial Intelligence and Intelligence | Subjects: Machine Learning
    Publication ID: v1n6a03
    Abstract: Educational resource imbalances pose considerable barriers to accomplishing equitable opportunities to learn worldwide. Traditional approaches to resource allocation frequently fail to adapt to the ever-changing and intricate needs of educational...
    15-24
    DOI Icon Abstract views: 50 | DOI Icon PDF downloads: 32 | DOI Icon references: 20
    DOI Icon DOI: 10.70393/6a6374616d.323436
    DOI Icon ARK: ark:/40704/JETBM.v1n6a03
  • Authors: Imran Babayaro
    Resource Type: Article
    Disciplines: Finance | Subjects: Risk Management
    Publication ID: v1n6a04
    Abstract: This paper explores the application of the Contrastive Unsupervised Graph Neural Network (CuGNN) framework in financial domains, leveraging its heterophily-based adaptive convolution to address critical tasks like fraud detection, risk...
    25-32
    DOI Icon Abstract views: 154 | DOI Icon PDF downloads: 48 | DOI Icon references: 51
    DOI Icon DOI: 10.70393/6a6574626d.323437
    DOI Icon ARK: ark:/40704/JETBM.v1n6a04
  • Authors: Siyao Chen, Abhit Daiya, Rubhrat Deb
    Resource Type: Article
    Disciplines: Business | Subjects: Business Strategy
    Publication ID: v1n6a05
    Abstract: In recent years, we have a higher demand for machine learning models in the field of economics and business managment. We have a higher demand for quality of the features used for training. In this process, feature selection plays a key role in...
    33-38
    DOI Icon Abstract views: 34 | DOI Icon PDF downloads: 29 | DOI Icon references: 18
    DOI Icon DOI: 10.70393/6a6574626d.323438
    DOI Icon ARK: ark:/40704/JETBM.v1n6a05
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