Proceedings of the 2023 3rd International Conference on Business Administration and Data Science (BADS 2023)

Peer-Review Statements

Authors
Bijay Kumar Kandel1, Anuranjan Misra2, Junfeng Liao3, *, Changiz Valmohammadi4
1Kathmandu University, Dhulikhel, Nepal
2Greater Noida Institute of Technology, Greater Noida, India
3South China University of Technology, Guangzhou, China
4Islamic Azad University, Ghasem Abad, Iran
*Corresponding author. Email: ljf@scut.edu.cn
Corresponding Author
Junfeng Liao
Available Online 30 December 2023.
DOI
10.2991/978-94-6463-326-9_1How to use a DOI?
Abstract

All the articles in this proceedings volume have been presented at 2023 3rd International Conference on Business Administration and Data Science (BADS 2023) during 20-22 October 2023 in Xinjiang, 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
© 2023 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 2023 3rd International Conference on Business Administration and Data Science (BADS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
30 December 2023
ISBN
978-94-6463-326-9
ISSN
2589-4900
DOI
10.2991/978-94-6463-326-9_1How to use a DOI?
Copyright
© 2023 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  - Bijay Kumar Kandel
AU  - Anuranjan Misra
AU  - Junfeng Liao
AU  - Changiz Valmohammadi
PY  - 2023
DA  - 2023/12/30
TI  - Peer-Review Statements
BT  - Proceedings of the 2023 3rd International Conference on Business Administration and Data Science (BADS 2023)
PB  - Atlantis Press
SP  - 1
EP  - 3
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-326-9_1
DO  - 10.2991/978-94-6463-326-9_1
ID  - Kandel2023
ER  -