All new manuscripts to AEICST should be submitted directly via AIS Scholar Online Editorial System (投稿链接). By using the online submission system, you can access and process your submitted manuscript(s) from anywhere with internet access, and all the records including the files and the exchange of information will be maintained.
Step 1. To keep scientific integrity, one of our editors will run Turnitin on each new submission to check if it has potential problem of plagiarism. Papers not passing the plagiarism check will be desk rejected immediately.
Step 2. Then the publication Chairs will conduct initial check to ensure the submission falls within the scope of the conference and decide if it merits further review. Once passed the initial check, the manuscript will be assigned to reviewers for double-blind peer review.
Step 3. Each selected submission will be reviewed by at least two or three independent expert reviewers in the field on originality, validity, quality and academic merit, and readability.
Step 4. The peer review reports received from the experts will be judged by one of the editors with international scientific standards.
Step 5. The logical and valid peer review reports will be sent to the authors for them to revise the manuscript accordingly. For invalid reports, the editor may either assign a new reviewer or make a judgement based on his/her own.
Step 6. Authors are required to respond to the peer review comments in details and revise their paper according to the points raised.
Step 7. The revised manuscript will then be evaluated by the editor whether the points raised by the reviewers have been fully addressed or not.
Step 8. Then the editor will send the revised manuscript to the reviewers again for re-evaluation.
Step 9. If the reviewers approve the revised version of the manuscript, then the Editor-in-Chief will make a final decision on acceptance for the publication.
Copyright© 2023 3rd International Conference on Public Management and Big Data Analysis (PMBDA 2023)
2023 3rd International Conference on Public Management and Big Data Analysis (PMBDA 2023) http://icpmbda.com/