Aims and Scope

Aims

The Journal of Computers, Mechanical and Management (J. Comput. Mech. Manag.) is an international, peer-reviewed, open-access scholarly journal that publishes original research, systematic and methodological reviews, and short communications across the broad domains of engineering and technology, management and applied economics, and the basic sciences and mathematics that support engineering and technological research. The journal serves as a platform for interdisciplinary, applied, and theoretically grounded scholarship that addresses contemporary scientific, technological, industrial, and managerial challenges.

The journal aims to publish work that demonstrates originality, methodological rigour, reproducibility, and clearly articulated contributions to theory, practice, or policy. The journal welcomes both single-discipline studies of high methodological quality and interdisciplinary work that draws on more than one of its subject domains.

Scope

The journal's scope is organised around three subject domains, reflecting its Scopus subject classification under Engineering (miscellaneous), Modeling and Simulation, Business, Management and Accounting (miscellaneous), and Mathematics (miscellaneous). The areas listed below are indicative rather than exhaustive; submissions outside these examples but within the broad subject domains are welcome.

Engineering and Technology

The journal welcomes research across the engineering and technology disciplines, including:

• Computing and intelligent systems: computer science and computer engineering, artificial intelligence and machine learning, deep learning and generative AI, computer vision and pattern recognition, data engineering and data-driven systems, information technology, cybersecurity, blockchain and distributed systems, Internet of Things, edge and cloud computing, and computational modelling and simulation including digital twins
• Mechanical and industrial engineering: design and analysis of mechanical systems, manufacturing and production engineering, additive manufacturing, materials science and engineering, mechatronics, industrial automation and robotics, non-destructive testing and condition monitoring, predictive maintenance, and Industry 4.0 implementations
• Electrical, electronics, and communication engineering: electrical engineering, electronics engineering, telecommunication engineering, control systems engineering, instrumentation engineering, signal processing, and energy and power engineering
• Civil, structural, and environmental engineering: civil and structural engineering, environmental engineering, sustainable engineering, and infrastructure systems, particularly where the work has an interdisciplinary computational, materials, or management dimension
• Architecture and the built environment: sustainable and green building technologies, smart buildings and infrastructure, urban and regional planning, and building materials and construction technologies, particularly where the work intersects with engineering, computation, or sustainability
• Biomedical and healthcare engineering: biomedical engineering, medical imaging and signal processing, healthcare data systems, and bioengineering, particularly where the work has an engineering, computational, or device-design dimension
• Allied engineering disciplines: automotive and aerospace engineering, chemical engineering, agricultural engineering, mining and petroleum engineering, and other engineering disciplines, especially where the work demonstrates methodological rigour and broader interdisciplinary relevance

Management, Business, and Economics

The journal welcomes research in management, business, and applied economics, including both general management studies and management areas linked to engineering, technology, and operations practice. Areas of interest include:

• Operations and supply chain management, operations research, and logistics analytics
• Engineering management, project and construction management, and production and operations management
• Business analytics, decision sciences, and management information systems
• Innovation, entrepreneurship, and technology management
• General management, strategic management, and human resource management
• Marketing management and digital marketing
• Financial management, accounting, and corporate finance
• Industrial economics and applied economic modelling
• Educational management and higher-education studies, where grounded in analytical or empirical method

Basic Sciences and Applied Mathematics

The journal welcomes research in the basic sciences and mathematics where such work provides theoretical foundations, analytical frameworks, computational models, experimental validation, or methodological support for engineering, technological, or applied research. Areas of interest include:

• Applied mathematics and computational mathematics
• Mathematical modelling and simulation
• Statistics, probability, and applied statistical methods
• Operations research and optimisation
• Applied physics and applied chemistry
• Materials chemistry and materials physics

Examples of in-scope work

The following examples illustrate the range of work the journal publishes:

• A deep learning framework for non-destructive evaluation of aerospace components
• A blockchain-based digital signature framework for healthcare data security, with deployment analysis
• A predictive analytics model for AI-supported corporate decision-making
• An optimised segmentation method for medical imaging with industrial relevance
• A multidimensional evaluation framework for parallel data-mining algorithms on big data platforms
• A methodological review of bond-strength scientometric analysis using bibliometric tools
• An engineering-economics study of project delivery in infrastructure construction
• A simulation-based optimisation of supply chain resilience under disruption scenarios

Out-of-scope and editorial discrimination

The journal applies rigorous initial screening for scope-fit, methodological adequacy, and originality before sending manuscripts to peer review. The following categories of work are typically declined at desk-screen:

• Pure mathematics or theoretical computer science with no demonstrated application or methodological contribution
• Clinical or biomedical research without an engineering, computational, or device-design dimension
• Pure social-science studies or qualitative organisational research without an analytical, empirical, or computational component
• Educational or pedagogical studies without a technical, methodological, or analytical core
• Software demonstrations, product reports, or feasibility notes without a clear research contribution
• Manuscripts where the contribution is primarily a literature summary without methodological synthesis or original empirical work

Authors uncertain about scope-fit are encouraged to consult the Editor-in-Chief at editor@jcmm.co.in with a short pre-submission enquiry before preparing a full manuscript.

Article types

The journal publishes the following article types. Detailed length, structure, and review expectations are described on the Author Guidelines page.

• Original Research Article: full-length empirical, methodological, or theoretical contribution with original findings
• Systematic or Methodological Review: structured synthesis following PRISMA, scientometric, bibliometric, or comparable established methodology
• Short Communication: concise report of a focused finding, including thematic syntheses, brief methodological notes, and timely findings of immediate interest
• Editorial: by invitation only, authored by members of the Editorial Team or invited contributors

Particularly welcomed contributions

While the journal accepts submissions across the full breadth of its subject domains, contributions in the following named sub-disciplines are particularly welcomed and align closely with the journal's editorial expertise: modelling and simulation, engineering management, operations research, business analytics, industrial engineering, computational mathematics, and applied artificial intelligence in engineering and management contexts.