Summation | Journal of Management and Data Analytics
Summation | Journal of Management and Data Analytics is a peer-reviewed academic journal that publishes high-quality research articles, case studies, and reviews in the interdisciplinary fields of management and data analytics. The journal serves as a platform for researchers, industry professionals, and academicians to contribute and share insights on innovative methodologies, data-driven decision-making, and business intelligence strategies. The journal focuses on the intersection of management principles and data analytics techniques, providing insights into how data-driven approaches enhance decision-making, optimize business processes, and improve organizational performance.:
- Business and Strategic Management
- Data Analytics and Business Intelligence
- Financial and Marketing Analytics
- Supply Chain and Operations Analytics
- Human Resource Analytics
- Cybersecurity and Risk Analytics
- AI, Machine Learning, and Automation in Business
- Healthcare and Public Sector Analytics
- Education, Research, and Innovation Analytics
- Ethical and Legal Aspects of Data Analytics in Business
Aim and scope of the journal are not limited to these topics only:
Engineering Disciplines
- Civil, Mechanical, Electrical, and Electronics Engineering
- Software and Computer Engineering
- Robotics and Automation
- Materials Science and Nanotechnology
- Environmental and Sustainable Engineering
Management
- Project and Program Management
- Strategic Management and Decision Making
- Operations and Supply Chain Management
- Innovation and Entrepreneurship
- Financial and Risk Management in Technology Projects
Technology
- Emerging Technologies (AI, IoT, Blockchain, and AR/VR)
- Data Science and Analytics
- Cybersecurity and Information Systems
- Cloud Computing and Virtualization
- Technological Innovations and Applications in Industry 4.0
Interdisciplinary Topics
- Technological Impact on Business Practices
- Engineering Solutions for Social and Economic Challenges
- Integration of Technology in Education and Training
- Sustainability in Engineering and Management Practices
Editorial Board:
Authors are required to adhere to the following guidelines while submitting their manuscripts:
Font and Formatting:
- Use Times New Roman font.
- Main text: Font size 12, color black, and line spacing 1.15.
- Paper title: Font size 16, bold, centered.
Paper Structure: The paper must include the following sections in the given order-
- Abstract: A concise summary of the research (150–300 words).
- Keywords: Include exactly 6 keywords relevant to the study.
- Main Sections:
- Introduction
- Literature Review
- Methodology
- Result Analysis
- Discussion and Implications
- Conclusion and Future Scope
- References
- Follow the IEEE reference style using numbered citations (e.g., [1], [2], etc.).
- Ensure proper formatting and consistency in referencing.
Originality and Plagiarism:
- The manuscript must be original and unpublished anywhere else.
- Plagiarism must be below 10%. Submissions failing this criterion will be rejected.
Publication Policy:
- Simultaneous or parallel submission to other journals is strictly prohibited.
- If found, appropriate actions, including rejection and blacklisting, will be taken.
Author Information:
- Provide author name, affiliation, and email ID in the manuscript.
File Format:
- Submissions must be in PDF or Word format.
- Click here to download the manuscript in Word format.
Compliance:
- Manuscripts that do not follow these guidelines will be rejected without review.
- By submitting, authors agree to comply with these requirements and accept that non-adherence may lead to rejection.
