Article Type

Manuscript Types & Scientific Article Requirements

Article Types

Data : Journal of Information Systems and Management prioritizes original research that demonstrates clear scientific novelty, rigorous analysis, and a substantive contribution to information systems, information management, digital transformation, business intelligence, enterprise systems, data-driven decision making, IT governance, e-business, and related fields.

ORIGINAL RESEARCH PRIORITY NOVELTY REQUIRED NON-RESEARCH TYPES LIMITED

The journal gives priority to original research articles. Review articles, case studies, and short communications are accepted selectively when they are strongly aligned with the journal's Focus and Scope and provide clear analytical, technological, managerial, or scholarly contributions to the development and use of information systems.

Core Scientific Requirements

Regardless of manuscript type, articles should demonstrate the following core elements:

✓ Clear research problem and significance ✓ Adequate state of the art
✓ Explicit research gap / novelty justification ✓ Clearly stated research objective
✓ Appropriate research, analytical, or system-evaluation method ✓ Findings, analysis, and conclusion supported by evidence
Editorial Priority: Manuscripts without a clear state of the art, research gap or justification of novelty, and explicit research objective may receive lower editorial priority or be returned before peer review.
1 Original Research Article PRIMARY TYPE

Original Research Articles are the primary and preferred manuscript type. They must report original findings derived from a systematic research process and demonstrate a clear contribution to the development, implementation, adoption, evaluation, governance, or management of information systems and digital technologies.

Required characteristics:

  • Relevant information systems or management research background and clearly defined problem;
  • Adequate review of current scholarship or state of the art;
  • Explicit identification of the research gap;
  • Clear justification of novelty or scientific contribution;
  • Explicit research objective(s), research question(s), or hypotheses where appropriate;
  • Appropriate and sufficiently described quantitative, qualitative, mixed-method, design-science, system-development, data-analytical, or evaluation method;
  • Clear presentation of findings supported by appropriate empirical, technical, organizational, or analytical evidence;
  • Critical analysis and comparison with relevant information systems and management literature; and
  • Conclusion that directly responds to the research objective and explains relevant theoretical, technological, organizational, or managerial implications.
Recommended Structure:
Introduction → Methods → Results → Discussion → Conclusion → Declarations → References
2 Review Article SELECTIVE

Review Articles are considered selectively and must provide a comprehensive, critical, and original synthesis of a clearly defined body of literature in information systems, digital transformation, IT governance, data-driven management, business intelligence, enterprise systems, e-business, or related fields.

A high-quality review article should:

  • Present a clearly defined review question or analytical objective;
  • Explain the literature-search and selection approach;
  • Use adequate, relevant, and sufficiently current references;
  • Critically compare previous empirical findings, technologies, frameworks, models, and theoretical perspectives;
  • Identify inconsistencies, limitations, emerging technologies, research trends, and gaps;
  • Provide original analysis or synthesis by the authors; and
  • Develop a research agenda, conceptual framework, technology-management synthesis, or substantive conclusion.
Not Acceptable: A literature review that only summarizes previous publications, technologies, or information systems without critical analysis, synthesis, or an original scholarly contribution.
3 Case Study LIMITED

Case Studies are considered when the case provides significant scientific, technological, organizational, managerial, or practical relevance to the implementation and management of information systems.

A Case Study must include:

✓ Clear research objective ✓ Case-selection justification
✓ Method / analytical or evaluation approach ✓ Findings and substantive analysis
✓ Comparison with relevant information systems literature ✓ Clear theoretical, technological, organizational, or managerial contribution
Not Acceptable: Purely descriptive system implementations, software demonstrations, organizational IT profiles, digitalization reports, or business-process narratives without a clear analytical method, evaluation, and scholarly contribution.
4 Short Communication LIMITED

A Short Communication presents concise but important original findings, emerging information-system phenomena, digital transformation evidence, methodological developments, technology-management observations, or timely research results relevant to the journal's scope.

Although shorter than a full Original Research Article, a Short Communication must still contain sufficient scientific substance and demonstrate a clear contribution to information systems or management knowledge.

Minimum Scientific Elements:
Objective Method Results Analysis Conclusion

Manuscript Type Priority

Manuscript Type Journal Priority Main Requirement
Original Research Article HIGH Original findings + state of the art + research gap + novelty + information-system analysis
Review Article SELECTIVE Comprehensive review + current references + critical synthesis + original analysis
Case Study LIMITED Objective + case justification + method + system evaluation + scholarly contribution
Short Communication LIMITED Concise but complete scientific evidence, analysis, and information-system relevance

Manuscripts Not Considered

  • Purely descriptive articles without substantive analysis or evaluation;
  • Opinion articles without a clear scholarly method or evidence base;
  • Literature summaries without critical synthesis;
  • Software descriptions, system-development reports, IT implementation narratives, or digital transformation reports without scientific evaluation or analytical contribution;
  • Descriptions of applications or information systems without explicit research objectives, methods, results, and scholarly contribution;
  • Conference abstracts submitted without substantial development;
  • Articles outside the journal's Focus and Scope;
  • Previously published manuscripts; and
  • Manuscripts simultaneously submitted to another publication.
Editorial Principle

The journal prioritizes original research that advances knowledge in information systems and management. Non-original research formats are considered selectively and must demonstrate clear scientific objectives, analytical depth, originality of interpretation, and strong relevance to the journal's Focus and Scope.