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.
PUBLICATION HISTORY
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)
FOR THE AUTHORS
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 PREPARATION: Download the EJASA LaTeX Template and follow the instructions for the Authors and the guide to make bibliography with LaTeX, and create the blinded (without authors names) PDF version of your paper with tables, graphs and bibliography.
INDEXING & ABSTRACTING
Electronic Journal of Applied Statistical Analysis is covered by following indexing and abstracting databases:
Electronic Journal of Applied Statistical Analysis is covered by following indexing and abstracting databases:
-WoS Emerging Sources Citation Index (ESCI)
-SCOPUS
-INDEX COPERNICUS INTERNATIONAL
-SUMMON
-Primo Central Index (Ex Libris)
-EBSCO EDS
-MathSciNet
-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
-SUMMON
-Primo Central Index (Ex Libris)
-EBSCO EDS
-MathSciNet
-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
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.
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 |
This work is licensed under a Creative Commons Attribuzione - Non commerciale - Non opere derivate 3.0 Italia License.
e-ISSN: 2070-5948