Proceedings of the 2024 4th International Conference on Business Administration and Data Science (BADS 2024)

Peer-Review Statements

Authors
Yew Kee Wong Eric1, *, Gabriel Gomes de Oliveira2, Charles Chen3, Natālija Cudečka-Puriņa4
1Hong Kong Chu Hai College, Hong Kong, China
2State University of Campinas - UNICAMP and CTI - Renato Archer Research Center, Campinas, Brazil
3Xiamen University Tan Kah Kee College, Zhangzhou, China
4BA School of Business and Finance, Rīga, Latvia
*Corresponding author. Email: yewkeewong.eric@gmail.com
Corresponding Author
Yew Kee Wong Eric
Available Online 26 December 2024.
DOI
10.2991/978-94-6463-632-1_1How to use a DOI?
Abstract

All of the articles in this proceedings volume have been presented at the 4th International Conference on Business Administration and Data Science (BADS2024) during November 1-3, 2024 in Chengdu, China. These articles have been peer reviewed by the members of the Scientific Committees and reviewers and approved by the Editor-in-Chief, who affirms that this document is a truthful description of the conference’s review process.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 4th International Conference on Business Administration and Data Science (BADS 2024)
Series
Advances in Computer Science Research
Publication Date
26 December 2024
ISBN
978-94-6463-632-1
ISSN
2352-538X
DOI
10.2991/978-94-6463-632-1_1How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Yew Kee Wong Eric
AU  - Gabriel Gomes de Oliveira
AU  - Charles Chen
AU  - Natālija Cudečka-Puriņa
PY  - 2024
DA  - 2024/12/26
TI  - Peer-Review Statements
BT  - Proceedings of the 2024 4th International Conference on Business Administration and Data Science (BADS 2024)
PB  - Atlantis Press
SP  - 1
EP  - 3
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-632-1_1
DO  - 10.2991/978-94-6463-632-1_1
ID  - WongEric2024
ER  -