Author Guidelines

Author Guidelines

Instructions for preparing, submitting, revising, and publishing manuscripts in JODIGO – Journal of Digital Governance

JODIGO – Journal of Digital Governance welcomes original and rigorous scholarly manuscripts examining the transformation of governance, public administration, public institutions, public policy, public services, and citizen–government relations in the digital era.

Manuscripts should demonstrate a clear contribution to the study of digital governance and should move beyond the simple description of technologies or digital applications. Authors are expected to explain the institutional, administrative, political, social, ethical, regulatory, organizational, or policy significance of the research.

Language

Manuscripts must be written in clear, professional, and academically appropriate English. Authors are responsible for grammar, spelling, terminology, clarity, and readability. Manuscripts whose language substantially affects scholarly interpretation may be returned for language improvement before editorial evaluation.

Types of Articles
1. Original Research Article
Reports original empirical, qualitative, quantitative, comparative, survey-based, computational, experimental, or mixed-method research relevant to digital governance. A manuscript length of approximately 5,000–8,000 words is recommended, excluding references, tables, and figures.
2. Review Article
Provides a critical and systematic synthesis of scholarship in digital governance and related fields. Systematic reviews, scoping reviews, bibliometric studies, integrative reviews, and theoretically grounded literature reviews are welcome when they identify significant developments, debates, research gaps, or future directions.
3. Policy and Governance Analysis
Examines digital policies, regulatory frameworks, governance reforms, public-sector digital transformation, institutional arrangements, government programs, or public-service innovation using a clear analytical or theoretical framework.
4. Case Study and Comparative Study
Presents rigorous analysis of governments, institutions, digital public services, smart-governance initiatives, digital platforms, or governance reforms. Case studies should extend beyond description and demonstrate broader analytical or scholarly relevance.
5. Conceptual and Perspective Article
Develops original concepts, theoretical frameworks, interdisciplinary perspectives, or critical arguments concerning digital governance, public-sector transformation, digital institutions, policy, democracy, accountability, or emerging technologies in government.
Before Submission

Authors should ensure that the following requirements have been met before submitting a manuscript:

1. Originality: The manuscript represents original scholarly work.

2. Exclusive Submission: The manuscript is not under consideration by another journal.

3. Journal Scope: The manuscript makes a clear contribution to digital governance, public administration, public policy, public institutions, or public services.

4. Scholarly Contribution: A clear research gap, theoretical contribution, empirical contribution, methodological contribution, or policy relevance is demonstrated.

5. Research Integrity: Data, evidence, references, figures, and findings are accurate and appropriately reported.

6. Ethical Compliance: Ethical approval, informed consent, privacy protection, permissions, and data-protection requirements have been addressed where applicable.

7. References: Citations and references are complete, accurate, and consistently formatted.

8. Conflicts of Interest: Relevant financial, professional, institutional, political, or personal interests have been disclosed.

9. AI Disclosure: Substantive use of generative AI or AI-assisted technologies has been disclosed where applicable.
Manuscript Submission

Manuscripts should be prepared in Microsoft Word format (.doc or .docx) and submitted electronically through the JODIGO Online Journal System (OJS). Authors are responsible for ensuring that names, affiliations, email addresses, manuscript metadata, keywords, funding information, and supplementary files are complete and accurate.

Recommended Article Structure
01. Title Page
02. Abstract
03. Keywords
04. Introduction
05. Literature Review / Theoretical Framework
06. Methods
07. Results / Findings
08. Discussion
09. Conclusion and Implications
10. Author Contributions
11. Funding / Acknowledgments
12. Conflicts of Interest
13. Data Availability Statement
14. References
Title Page

Title: The title should be concise, specific, informative, and accurately represent the governance problem addressed by the study. Avoid unnecessary abbreviations and overly broad titles.

Author Names: Author names should be presented clearly without academic or professional titles.

Affiliations: Include department or organizational unit, institution, city, and country.

Corresponding Author: One author should be identified as the corresponding author with an active email address.

Abstract

The abstract should concisely describe the research problem, objective, methodological or analytical approach, principal findings, and major governance or policy contribution. The abstract should normally contain 150–250 words. References, extensive background information, and undefined abbreviations should be avoided.

Keywords

Authors should provide 4–7 keywords representing the principal concepts of the study. Keywords should support accurate indexing and international discoverability.

Introduction

The Introduction should establish the institutional, administrative, political, social, technological, or policy context of the research. Authors should critically engage with relevant international literature, identify a clear research gap or governance problem, state the objective or research question, and explain why the study matters for digital governance.

Literature Review and Theoretical Framework

Manuscripts should engage critically with relevant scholarship rather than provide a descriptive list of previous studies. Where appropriate, authors should identify and apply a theoretical, conceptual, institutional, governance, administrative, or policy framework that supports interpretation of the research problem and findings.

Methods

The Methods section should describe the research design, study context, participants or units of analysis, sampling procedures, data sources, instruments, data-collection methods, analytical techniques, software or computational tools, validation procedures, and ethical considerations where applicable. The description should allow readers to evaluate the validity, reliability, transparency, and reproducibility of the study.

Results / Findings

Results or findings should be presented clearly, logically, and objectively. Tables, figures, models, maps, diagrams, or other visualizations may be used where they improve understanding. Authors should avoid unnecessary duplication between text, figures, and tables.

Discussion

The Discussion should interpret the findings rather than simply repeat them. Authors should relate findings to the research questions, theoretical framework, and previous scholarship, and explain their implications for governance, public administration, institutional development, public policy, digital public services, accountability, participation, or citizen-government relations.

Conclusion and Policy Implications

The Conclusion should directly address the objectives of the study and summarize its principal scholarly contribution. Where appropriate, authors should identify implications for governance, policy, institutional practice, public administration, or digital-service development. Limitations and recommendations for future research may also be included.

Government Data, Privacy and Research Ethics

Research involving government databases, administrative records, public-service data, interviews, surveys, citizen data, public employees, digital platforms, or other potentially sensitive materials must comply with applicable ethical, institutional, legal, confidentiality, and data-protection requirements.

• Personally identifiable information should be protected.
• Data should be anonymized or de-identified where appropriate.
• Informed consent should be obtained where required.
• Ethical approval should be reported where applicable.
• Restricted government or institutional data should be used only with appropriate authorization.
• Authors should not disclose sensitive information unnecessarily.
AI, Algorithms and Automated Decision Systems

Studies involving artificial intelligence, algorithmic governance, automated public decision-making, predictive systems, risk scoring, biometric technologies, or related systems should describe relevant data sources, model assumptions, validation procedures, limitations, and potential biases where applicable. Authors should discuss relevant implications for fairness, explainability, transparency, accountability, privacy, and public rights.

Cybersecurity and Responsible Disclosure

Research involving government cybersecurity, vulnerabilities, critical digital infrastructure, authentication systems, or sensitive public information should balance scholarly transparency with responsible disclosure. Manuscripts should avoid unnecessary operational details that could create disproportionate risks to public systems, institutions, or users.

Author Contributions

Authorship should be limited to individuals who have made substantial scholarly contributions to the work. For multi-author manuscripts, authors are encouraged to provide a contribution statement identifying individual roles in conceptualization, methodology, investigation, data analysis, software, interpretation, writing, reviewing, supervision, or project administration.

Funding and Acknowledgments

All funding sources, research grants, government support, institutional assistance, consultancy funding, or other financial support related to the study should be disclosed clearly. Individuals or organizations that contributed to the research but do not qualify for authorship may be acknowledged separately.

Conflicts of Interest

Authors must disclose financial, professional, institutional, commercial, advisory, political, or personal relationships that could reasonably be perceived as influencing the research. If no competing interests exist, authors may state: “The authors declare no conflict of interest.”

Generative AI and AI-Assisted Technologies
Generative AI and AI-assisted technologies may be used responsibly for legitimate research or manuscript-preparation activities. Human authors remain fully responsible for all submitted content.

Artificial intelligence systems, large language models, chatbots, and other automated systems cannot be listed as authors or co-authors.

Authors should disclose substantive use of generative AI where such tools contributed materially to research design, data processing, programming, analysis, visualization, image generation, simulation, translation, interpretation, or manuscript preparation.

AI-generated references, fabricated data, invented quotations, false citations, synthetic respondents presented as real individuals, manipulated findings, or other misleading AI-generated scholarly content are prohibited.
References

JODIGO uses the American Psychological Association (APA), 7th Edition referencing style. Every reference cited in the manuscript must appear in the reference list, and all listed references must be cited in the text.

Authors are strongly encouraged to use reference-management software such as Mendeley, Zotero, or EndNote. References should prioritize relevant peer-reviewed international scholarship and authoritative primary sources. Government reports, legislation, regulations, policy documents, and institutional sources should be cited accurately where they form part of the analysis. DOI information should be included where available.

Tables, Figures and Visual Materials
• Tables and figures should be numbered consecutively.
• Tables should include concise titles above the table.
• Figures should include informative captions.
• All tables and figures must be referred to in the manuscript.
• Figures, maps, dashboards, and diagrams should remain readable at publication size.
• Sources of government or institutional data should be clearly identified.
• Authors must obtain permission for copyrighted material where necessary.
• Information should not be unnecessarily duplicated between text, tables, and figures.
Data and Research Transparency

Authors should provide sufficient information to support evaluation and verification of the research. Where appropriate and legally or ethically permissible, authors are encouraged to make datasets, analytical code, questionnaires, interview protocols, indicators, coding schemes, models, prompts, or supplementary research materials available through appropriate repositories or upon reasonable request.

Restrictions arising from privacy, confidentiality, national or institutional security, government data regulations, intellectual property, contractual obligations, or ethical requirements should be stated clearly.

Peer Review

Manuscripts that pass initial editorial screening will normally undergo double-blind peer review by at least two qualified reviewers. Reviewers evaluate originality, scholarly relevance, theoretical or conceptual quality, methodology, research integrity, clarity, policy or governance contribution, and alignment with the journal's aims and scope.

Revised Manuscripts

Authors invited to revise a manuscript should normally provide:

1. Revised Manuscript with Changes
A manuscript clearly showing relevant revisions where requested.

2. Clean Revised Manuscript
A final clean version without comments, track changes, or highlighting.

3. Point-by-Point Response
A detailed response addressing each comment raised by reviewers and editors. Authors should identify where changes were made and provide a scholarly explanation where a recommendation was not adopted.
Proofs and Publication

Accepted manuscripts proceed to copyediting, layout, proofreading, and publication. Corresponding authors may be asked to verify page proofs before publication. Proof corrections should normally be limited to typographical, formatting, metadata, or production errors. Substantial changes to the accepted scholarly content require editorial approval.

Editorial Priority: JODIGO gives priority to manuscripts that demonstrate originality, methodological or conceptual rigor, engagement with relevant international scholarship, and a meaningful contribution to digital governance. Studies that merely describe software, government applications, information systems, digital platforms, or technological implementations without significant analysis of governance, institutions, public administration, policy, public services, accountability, participation, or citizen–government relations may not proceed to external peer review.