2021 International Conference on Business Administration and Data Science(BADS 2021)
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2021 International Conference on Business Administration and Data Science(BADS 2021)will bring together leading researchers, engineers and scientists in the domain of interest from around the world.


Topic 1: Data Science Direction 

Data Statistics 

Management Information System 

Computer Science and technology 

Statistics 

Data Sharing 

Scientific Data Management 

Information Technology 

Telecommunication Technology 

Application Mathematics 

Software Engineering

Topic 2: Business Management Direction 

Business Management 

Human Resources 

Production and Operation Management 

Business Economics 

Business Management 

Statistics 

Financial Management 

Marketing 

Company Business Strategy 

Management 

Economic Management

Manuscripts reviewed by experts from the conference organizing committee will be accepted and published on conference proceedings. The published papers will then be submitted for EI, SCOPOUS abstracting/indexing.  


Submission Methods

1.The submitted papers must not be under consideration elsewhere.

2.Please send the full paper(word+pdf) to SUBMISSION SYSTEM

3.Please submit the full paper, if presentation and publication are both needed.

4.Please submit the abstract only, if you just want to make presentations.

5.Templates Downlow:Templates

6.Should you have any questions, or you need any materials in English, please contact us at contact@icbads.org


Note: 

1) Both Abstract and Full Paper are welcomed. The author can make an oral presentation after the Abstract is accepted and the payment is finished.

2) All submitted articles should report original, previously unpublished research results, experimental or theoretical. Articles submitted to the conference should meet these criteria and must not be under consideration for publication elsewhere. We firmly believe that ethical conduct is the most essential virtual of any academic. Hence any act of plagiarism is a totally unacceptable academic misconduct and cannot be tolerated.