Data Science and Management

Data Science and Management (DSM) is a peer-reviewed open access journal for original research articles, review articles and technical reports related to all aspects of data science and its application in the field of business, economics, finance, operations, engineering, healthcare, transportation, agriculture, energy, environment, sports, and social management. DSM was launched in 2021, and published quarterly by Xi'an Jiaotong University.

Current areas of interest include, but are not limited to:

Machine learning and intelligent management

Data mining and business analytics

Data statistics and decision making

Intelligent computing and algorithms

Data-driven management decisions

Data-based policy evaluation

Business intelligence

Business data science

Digital economy

Data quality and data privacy

Data and knowledge management

Enterprise digital management

Cyberspace management

Data security management

Smart city management

Smart society management

Digital engineering management

Data visualization

Data-driven intelligent system management

Data science applications

About the Journal: The journal has a distinguished editorial board with extensive academic qualifications, ensuring that the journal maintains high scientific standards and has a broad coverage. DSM seeks to publish original, high quality, peer-reviewed papers including original research articles and reviews as well as technical reports. Submission would be encouraged on all aspects of data science and its application in the field of business, economics, finance, operations, engineering, healthcare, transportation, agriculture, energy, environment, sports, and social management. The aim of this journal is to become a highly respected and trusted resource of leading knowledge in this field and to promote worldwide academic exchange. DSM is going to be an interdisciplinary forum opened to all professionals in the world.