Proceedings of 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024)

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Peer-Review Statements

Authors
Soon M. Chung1, Fairouz Kamareddine2, Azah Kamilah Draman3, *, Azah Kamilah Draman4
1Wright State University, Dayton, USA
2Heriot-Watt University, Edinburgh, UK
3Universiti Teknikal Malaysia Melaka, Melaka, Malaysia
4Swinburne University of Technology (Sarawak Campus), Kuching, Malaysia
*Corresponding author. Email: azah@utem.edu.my
Corresponding Author
Azah Kamilah Draman
Available Online 28 February 2025.
DOI
10.2991/978-94-6463-656-7_1How to use a DOI?
Abstract

All of the articles in this proceedings volume have been presented at the 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024) during December 20-22, 2024 in Qingdao, 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
© 2025 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 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
28 February 2025
ISBN
978-94-6463-656-7
ISSN
2352-5428
DOI
10.2991/978-94-6463-656-7_1How to use a DOI?
Copyright
© 2025 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

risenwbib
TY  - CONF
AU  - Soon M. Chung
AU  - Fairouz Kamareddine
AU  - Azah Kamilah Draman
AU  - Azah Kamilah Draman
PY  - 2025
DA  - 2025/02/28
TI  - Peer-Review Statements
BT  - Proceedings of 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024)
PB  - Atlantis Press
SP  - 1
EP  - 3
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-656-7_1
DO  - 10.2991/978-94-6463-656-7_1
ID  - Chung2025
ER  -