Journal of System and Management Sciences

Aims & Scope

Co-published with Beijing Jiaotong University, Journal of System and Management Sciences (JSMS) aims to provide a refereed and authoritative source of information in the field of system and management sciences.

JSMS is seeking to establish channels of communication between government departments, industrial executive and academic experts in the field.

JSMS mainly publishes original research papers and review articles in an interdisciplinary context of management sciences and system engineering.

Coverage of JSMS includes but not limited to: -Management Sciences and System Engineering- Information Systems and Information Engineering- Operational Research and Logistics- Artificial Intelligence and Machine Learning- Data Analytics and Business Intelligence

Metrics & Ranking

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Business, Management and Accounting, Computer Science, Decision Sciences and Engineering, designed to support cutting-edge academic discovery.

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Towards Business Intelligence Success Measurement in an Organization: A Conceptual Study

  Citation: 44

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• Predicting the Behavioural Intention of Jordanian Healthcare Professionals to Use Blockchain-Based EHR Systems: An Empirical Study

  Citation: 40

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• Research on Emotion Recognition-Based Smart Assistant System: Emotional Intelligence and Personalized Services

  Citation: 26

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• Digital Culture Revolution in Improving Firm Performance in Indonesia

  Citation: 19

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• Roles of Individual Perception in Technology Adoption at Organization Level: Behavioral Model versus TOE Framework

  Citation: 12

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• Blockchain Technology and Its Applications: Case Studies

  Citation: 11

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• The Influence of Financial Service Characteristics on Use Intention through Customer Satisfaction with Mobile Fintech

  Citation: 9

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• Effective Management in the Remote Work Environment

  Citation: 9

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• A Study on Real-time Hand Gesture Recognition Technology by Machine Learning-based MediaPipe

  Citation: 8

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• Structural Relationships among Service Quality, Systemic Characteristics, Customer Trust, Perceived Risk, Customer Satisfaction and Intention of Continuous Use in Mobile Payment Service

  Citation: 8

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