Electronic Journal of Applied Statistical Analysis

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e-ISSN: 2070-5948

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The Electronic Journal of Applied Statistical Analysis (EJASA) is an international OPEN ACCESS and peer-reviewed journal, published half-yearly (until 2009 annually) articles which contribute new research ideas in all areas of the statistical science including social and economical applications, theoretical or computational papers related to probability or statistics. All the papers in the EJASA are refereed papers by two international reviewers.
Its scope is to promote study and research in all fields of statistics and to contribute to the diffusion of the statistical thinking culture.
In addition, special issues dedicated to a specific topic will also be published on EJASA.

In 2015 Electronic Journal of Applied Statistical Analysis: Decision Support Systems and Services Evaluation (ISSN 2037-3627) was absorbed into Electronic Journal of Applied Statistical Analysis (ISSN 2070-5948)

Publication in EJASA is free of charge. The submitted papers are accepted only in English describing original research not published nor currently under review by other journals. Parallel submissions will not be accepted.
All submitted papers, if relevant to the themes and objectives of the journal, will go through two rounds of an external peer-review process.

- PAPER PREPARATIONDownload the EJASA LaTeX Template and follow the instructions for the Authors and the guide to make bibliography with LaTeXand create the blinded (without authors names) PDF version of your paper with tables, graphs and bibliography.

- PAPER SUBMISSION: upload only the PDF blinded version of your paper via online submission.
Electronic Journal of Applied Statistical Analysis is covered by following indexing and abstracting databases:

-WoS Emerging Sources Citation Index (ESCI)
-Primo Central Index (Ex Libris)
-Statistical Theory and Method Abstracts (STMA), component of Zentralblatt MATH
-DOAJ: Directory of OPEN ACCESS Journal
-STATLIB: Statistical Library on the net
-GOOGLE Scholar
-ULRICH'S: International Database
-PKP: Public Knowledge Project


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Vol 17, No 1 (2024): Electronic Journal of Applied Statistical Analysis (Special Issue: Big Data in Economics' Applications)

Big Data in Economics' Applications

Tran Thi Le Hien(a) and Ho Thanh Tri(b)

(a)Faculty of Finance and Accounting, Ho Chi Minh City University of Industry and Trade, Viet Nam. No. 140 Le Trong Tan Street, Tay Thanh Ward, Tan Phu District, Ho Chi Minh City, Vietnam
(b)Hung Vuong University of Ho Chi Minh City, Vietnam. No. 736 Nguyen Trai Street, Ward 11, District 5, Ho Chi Minh City, Vietnam

The present special issue deals with some interesting topics related to technology, accounting, finance, tourism, and it is inspired by the ideas of technology and big data in different business aspects of the economy today, the main theme of the 1st international conference on economics (ICE), held in Ho Chi Minh in 2023, called ”Big data in economics”. Big data has gradually been attached to importance in the economic field, especially the traditional economic management has not met the needs of society. The Special Issue aims to collect the new ideas in the applications of technology and big data in the economy today.

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Special Issue - BigData2023

The relationship between work motivation and individual ambidexterity behavior affects the task performance of real estate market employees Details     pdf
Luan Minh Pham 1 - 19

Do the internet, economic growth, and environmental quality spur people's happiness during Covid-19 pandemic? Details     pdf
Dang Bui Hong, Thang Do Van, Ngoc Bui Hoang 20 - 33

Visualizing green finance and green growth relationships with power bi tools Details     pdf
Hien Thi Le Tran, Tri Thanh Ho 34 - 50

Strategic management accounting implementation: how the role of big data Details     pdf
Hung Ngoc Tran, Hien T Nguyen 51 - 68

Factors affecting the profitability of food companies listed on the Vietnam stock market Details     pdf
Dang Trung Kien, Ho Thanh Tri 69 - 88

Predicting warrant prices using an artificial neural network model: Experimental comparison with Black Scholes Metron model Details     pdf
Tam Phan Huy, Hai Yen Thi Nguyen, Minh Tú Lê Nguyễn, Phú Lộc Lê Nguyễn, Lan Phương Thị Đỗ, Hồng Thanh Thụy Nguyễn, Kim Anh Thi Pham 89 - 114

Trend of using freelancers in the post-pandemic: role of corporate governance reform and digital orientation in the moderate of digital platform Details     pdf
Nhat Huu Quang Van, Le Thi Kieu Anh 115 - 132

Forecasting audit opinions on financial statements: statistical algorithm or machine learning? Details     pdf
Oanh Thi Thu Pham 133 - 152

Hybrid methodology for sparse selection of generalized estimating equations model for the drivers of firm value Details     pdf
Robert Nyamao Nyabwanga 153 - 161

A new hybrid approach for forecasting of daily stock market time series data Details     pdf
Ahmad M. Awajan 162 - 190

Application of machine learning methods in forecasting economic growth and inflation of Vietnam Details     pdf
Phuoc Tran, Anh Hoang Le 191 - 205

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e-ISSN: 2070-5948