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.

Editorial Board