Proceedings of the 2026 5th International Conference on Big Data Economy and Digital Management (BDEDM 2026)

Peer-Review Statements

Authors
Hongbo Li1, *, Daowen Qiu2, Hui An3, Yahua Xu4, Liew Chee Yoong5
1Shanghai University, Shanghai, China
2Sun Yat-Sen University, Guangzhou, China
3Dalian University of Technology, Dalian, China
4Central University of Finance and Economics, Beijing, China
5UCSI University, Kuala Lumpur, Malaysia
*Corresponding author. Email: ishongboli@gmail.com
Corresponding Author
Hongbo Li
Available Online 20 April 2026.
DOI
10.2991/978-94-6239-640-1_1How to use a DOI?
Abstract

All of the articles in this proceedings volume have been presented at the 2026 5th International Conference on Big Data Economy and Digital Management (BDEDM 2026) during January 9-11, 2026 in Guangzhou, 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
© 2026 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 2026 5th International Conference on Big Data Economy and Digital Management (BDEDM 2026)
Series
Advances in Economics, Business and Management Research
Publication Date
20 April 2026
ISBN
978-94-6239-640-1
ISSN
2352-5428
DOI
10.2991/978-94-6239-640-1_1How to use a DOI?
Copyright
© 2026 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  - Hongbo Li
AU  - Daowen Qiu
AU  - Hui An
AU  - Yahua Xu
AU  - Liew Chee Yoong
PY  - 2026
DA  - 2026/04/20
TI  - Peer-Review Statements
BT  - Proceedings of the 2026 5th International Conference on Big Data Economy and Digital Management (BDEDM 2026)
PB  - Atlantis Press
SP  - 1
EP  - 3
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-640-1_1
DO  - 10.2991/978-94-6239-640-1_1
ID  - Li2026
ER  -