Welcome to BADS 2025
2025 5th International Conference on Business Administration and Data Science
Countdown to the meeting:
 | November 07-09, 2025 Conference Dates |
| September 25, 2025 Full Paper Submission Date |
 | October 05, 2025 Registration Deadline |
 | October 15, 2025 Final Paper Submission Date |
☀ About BADS 2025
In the current situation of rapid economic development, the competition in the market is increasingly fierce. The drawbacks of traditional enterprise management and the backward management concept have seriously hindered the normal development of enterprises. In order to improve their competitive advantages and market share, enterprises must optimize their management methods and build a modern business administration system. In this situation, enterprises can only promote their development process by improving their business management mode and formulating scientific business management policies.
Data science is one of the most important tools for optimizing business administration.
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract value from data. Data scientists use a combination of skills (including statistics, computer science and business knowledge) to analyze data collected from the Web, smartphones, customers, sensors and other sources.
Data is the cornerstone of innovation, and data scientists gather information from data, discovering hidden trends from raw data and generating insights that companies can use to transform business problems into research projects that can then be translated back into practical solutions.
Based on this, BADS 2025 discusses the state of modern business administration and the corresponding improvement measures in the context of the current reality. It also provides a platform for scholars in related fields to exchange and share information, discuss how the two affect each other, and promote the modernization of business administration by studying certain business administration issues. To open new perspectives, broaden horizons, and examine the issues being discussed by the participants. Create an international-level forum for sharing, research and exchange that will expose participants to the latest research directions, results and content in different fields, thus inspiring them to come up with new research ideas.
We warmly invite you to attend BADS 2025 and look forward to meeting you in Xi'an, China.
☀ Topics
The topics of interest for submission include, but are not limited to:
Business Administration
Marketing Management, Financial management, Operation management, Financial technology, Digital Management, Human resources management, Intelligent management system, Economic Management and Analysis, ...
Data Science
Machine learning, Data mining, Data analysis, Data visualization, Health data science, Intelligent Manufacturing System, Data privacy protection, Model fitting and data analysis, Forecasting model and economic research, ...
Business Administration and Data Science
Data-driven market segmentation and customer analysis, Financial data analysis and risk management, The Application of Artificial Intelligence in Employee Recruitment and Performance Evaluation, Big data analysis in logistics and supply chain, ...
☀ Publication
All papers, both invited and contributed, will be reviewed by two or three experts from the committees. After a careful reviewing process, all accepted papers of BADS 2025 will be published in Conference Proceedings, which will be aubmitteed to Ei and Scopus for indexing.
Note: All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of any academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.
Hosted By
Xi'an Univerity of Science and Technology
Organized By
College of Management, Xi'an Univerity of Science and Technology