Submissions

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Author Guidelines

AUTHOR GUIDELINES

1. Scope and suitable submissions
Management Analytics and Social Insights (MASI) publishes original, rigorous research and scholarly reviews addressing management analytics and the social, organizational, economic, policy, and technological dimensions of management and decision-making. Submissions must fit the journal’s stated aims and scope and make a clear contribution to knowledge or practice.

2. Submission and templates
Submit manuscripts through the journal’s online system. Authors should prepare the manuscript using either the Microsoft Word template:
https://masi.reapress.com/journal/libraryFiles/downloadPublic/5
or the LaTeX template:
https://masi.reapress.com/journal/libraryFiles/downloadPublic/9

A PDF may be uploaded for initial review. Editable source files will be required for accepted manuscripts. LaTeX submissions must include the main .tex file, bibliography file, required class/style files, and all figures.

3. Double-blind peer review
MASI uses double-blind peer review. The review manuscript must not contain author names, affiliations, acknowledgements, biographies, or other identifying information. Remove personal information from file properties. Cite the authors’ own work in the third person and do not obscure references needed to assess the scholarship. Provide complete author details only in the submission system or in a separate title page when requested.

4. Manuscript organization
Use a clear title that accurately reflects the work. The abstract should state the purpose, approach, principal findings, and contribution. Provide focused keywords that improve discoverability. Organize the main text appropriately for the study, normally including an introduction, relevant literature or conceptual background, methods, results or findings, discussion, and conclusions. Explain the research question, context, methods, analysis, limitations, contribution, and implications with sufficient detail for evaluation and, where applicable, replication.

After the main text, include the applicable declarations: author contributions, ethics approval, informed consent, funding, competing interests, data availability, acknowledgements, and generative-AI disclosure. If a declaration does not apply, state this clearly where appropriate.

5. Tables, figures, and supplementary files
Number tables and figures in the order cited and provide a concise title or caption for each. Every table and figure must be cited in the text. Ensure that labels are legible and that files are of publication quality. Supply editable tables and, when requested, separate high-resolution figure files. Supplementary materials should use common, accessible formats and must be clearly described in the manuscript.

6. Authorship and contributor information
List only contributors who meet accepted authorship criteria. All authors must approve the submitted version, agree to submission, and accept responsibility for their contributions. The corresponding author must ensure that the author list and order are accurate and that no eligible contributor is omitted. Enter each author’s full name, institutional affiliation, country, email address, and ORCID iD where available. Describe author contributions using a recognized contributor-role framework when appropriate.

7. Research ethics and informed consent
Research involving human participants, surveys, interviews, identifiable personal data, or other regulated activities must report the approving body, approval identifier where available, and informed-consent procedure. If approval or consent was not required, explain the basis where relevant. Protect privacy and confidentiality and do not include identifiable information without appropriate consent. Research involving animals or sensitive data must comply with applicable institutional, national, and disciplinary standards.

8. Funding and competing interests
Disclose all financial and non-financial support and identify funders and grant numbers where applicable. Disclose any financial, institutional, personal, professional, or academic relationship that could reasonably be perceived to influence the work. If there was no funding or no competing interest, include an explicit statement to that effect.

9. Data availability and reproducibility
Include a data-availability statement for every submission. State where supporting data, code, instruments, or other materials can be accessed and provide repository identifiers or persistent links when available. If materials cannot be shared because of legal, ethical, privacy, security, or proprietary restrictions, describe the restriction and any conditions for access. Authors remain responsible for the accuracy and integrity of all submitted data.

10. Generative AI and AI-assisted tools
Disclose any material use of generative AI or AI-assisted tools in preparing the manuscript, analysis, code, images, or other content, including the tool and purpose. AI systems cannot be authors. Authors are fully responsible for originality, accuracy, citations, permissions, data, images, and conclusions. Do not upload confidential manuscript or participant information to public AI systems.

11. References
References must be complete, accurate, and consistent. Ensure every in-text citation has a matching reference and every listed reference is cited. Include DOI links in the form https://doi.org/... or another stable URL when available. Authors should cite relevant primary literature and avoid unnecessary or coercive citation.

12. Permissions and originality
Authors must obtain written permission for copyrighted material they do not own and provide the required acknowledgement. Clearly identify adapted material and cite its source. Submission confirms that the manuscript is original, is not under consideration elsewhere, and appropriately discloses any related publication, preprint, or prior dissemination.

13. Language and presentation
Manuscripts must be written in clear academic English. Define abbreviations at first use, use consistent terminology and units, and check spelling, grammar, tables, figures, equations, and references before submission. Language editing does not guarantee acceptance.

14. Revisions and accepted manuscripts
When revising, submit a clean manuscript and a point-by-point response explaining how each editor and reviewer comment was addressed, with changes clearly identified when requested. On acceptance, provide all editable source files and resolve any outstanding metadata, permissions, ethics, disclosure, and production queries.

Submission Preparation Checklist

All submissions must meet the following requirements.

1. The manuscript is original, has not been published previously, and is not under consideration by another journal. Any related manuscripts, preprints, or prior dissemination have been disclosed to the editor.

2. All listed authors meet accepted authorship criteria, have approved the submitted version, and agree to its submission to MASI. No eligible contributor has been omitted.

3. The manuscript has been prepared for double-blind peer review. Author names, affiliations, acknowledgements, and identifying file properties have been removed from the blinded review file.

4. The submission follows the MASI template and author guidelines. The main manuscript and any required source files, figures, tables, captions, and supplementary materials have been provided in suitable formats.

5. The title, abstract, keywords, author information, affiliations, ORCID identifiers where available, references, and other submission metadata are complete and accurate. DOI links or stable URLs have been supplied for references when available.

6. Ethics approval and informed consent have been obtained and reported when the research involves human participants, surveys, interviews, identifiable personal data, or other regulated research. If approval was not required, the manuscript explains why where relevant.

7. Funding sources and all financial, institutional, personal, or academic conflicts of interest have been fully disclosed. If none exist, appropriate no-funding and no-conflict statements are included.

8. A data-availability statement is included where relevant. Data and code are shared through an appropriate repository when possible, or any legal, ethical, privacy, or proprietary restriction is explained.

9. Any use of generative AI or AI-assisted tools that requires disclosure has been described transparently. AI systems are not listed as authors, and the authors remain fully responsible for the accuracy, originality, citations, data, images, and conclusions of the manuscript.

10. The manuscript complies with the journal's copyright, CC BY 4.0 licensing, publication-ethics, plagiarism, and permissions policies.

Articles

The Articles section publishes original research articles, review articles, systematic reviews, methodological articles, case studies, and well-grounded conceptual or perspective articles that fall within the journal's aims and scope. Submissions must make a clear contribution to management analytics, business or decision analytics, operations and decision sciences, optimization, multiple-criteria decision-making, artificial intelligence in management, or social and behavioral insights relevant to managerial, organizational, operational, or policy decisions. All submissions undergo editorial screening and, when suitable, double-blind peer review by independent experts. Acceptance is based on originality, methodological rigor, validity of evidence and analysis, clarity, ethical compliance, relevance to MASI, and the significance of the contribution.

Copyright Notice

By submitting a manuscript to Management Analytics and Social Insights (MASI), the authors confirm that the work is original, has not been published previously, is not under consideration by another journal, and has been approved by all listed authors.

Copyright and first publication: Authors retain copyright in their work. If the manuscript is accepted, the authors grant MASI the right of first publication and the non-exclusive right to publish and identify itself as the original publisher.

License: Published articles are made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits use, sharing, adaptation, distribution, and reproduction in any medium or format, including for commercial purposes, provided that appropriate credit is given to the author(s) and the source, a link to the license is provided, and any changes are indicated.

Author rights and self-archiving: Authors may deposit and share the published version of their article in institutional, subject, or other repositories and on personal or institutional websites, provided that the version of record is appropriately cited.

Permissions and research integrity: Authors are responsible for obtaining permission to reproduce copyrighted material and for complying with applicable research-ethics, informed-consent, privacy, authorship, funding, conflict-of-interest, data-availability, and disclosure requirements. MASI may make copyediting and formatting changes that do not alter the scholarly meaning of the work.

By completing the submission, the submitting author confirms agreement with these terms on behalf of all authors. Questions may be directed to masi@reapress.com.

Privacy Statement

PRIVACY STATEMENT

Management Analytics and Social Insights (MASI) collects and processes personal information only as needed to operate the journal, manage submissions and peer review, publish scholarly content, communicate with users, maintain the integrity of the scholarly record, and meet legal, ethical, and technical requirements.

Information collected
Information may include names, email addresses, usernames, passwords stored in protected form, institutional affiliations, countries, ORCID iDs, biographies, correspondence, submission and review records, declarations, and other information that users provide. The platform may also collect technical data such as IP address, browser information, access time, and activity logs for security, troubleshooting, and service administration.

How information is used
Personal information is used to:
• create and administer user accounts;
• manage manuscript submission, editorial assessment, peer review, production, and publication;
• communicate editorial decisions, review requests, publication information, and essential service notices;
• verify authorship, contributor, reviewer, and editor records;
• detect and investigate security incidents, misconduct, duplicate submission, or other threats to research integrity;
• generate internal and aggregated journal statistics; and
• preserve an accurate scholarly and editorial record.

Disclosure and access
Access to personal information is limited to authorized journal and publisher personnel and, where required for the editorial process, assigned editors, reviewers, authors, and service providers. MASI does not sell personal information. Information will not be disclosed for unrelated commercial purposes. It may be disclosed when required by law, to protect the security or integrity of the service, to investigate suspected misconduct under appropriate procedures, or to service providers acting on behalf of the journal subject to suitable confidentiality and security obligations.

Peer review and publication
MASI uses double-blind peer review. The journal takes reasonable steps to withhold author and reviewer identities from one another during review, but complete anonymity cannot be guaranteed where identity is apparent from the work or external information. Information intentionally included in a published article—such as author names, affiliations, ORCID iDs, acknowledgements, funding, competing-interest statements, and contact details designated for publication—becomes part of the public scholarly record and may be indexed, archived, and redistributed with the article.

Retention
Account, submission, review, decision, and publication records may be retained for as long as reasonably necessary to operate the journal, preserve the scholarly record, resolve disputes, investigate ethical concerns, and satisfy legal or contractual obligations. Information that is no longer required will be deleted or anonymized where reasonably practicable, subject to the integrity of published and editorial records.

Security
MASI and its service providers use reasonable administrative and technical measures to protect information against unauthorized access, alteration, disclosure, or loss. No online system can guarantee absolute security. Users are responsible for maintaining the confidentiality of their login credentials and should notify the journal of suspected unauthorized access.

Cookies and technical data
The journal platform may use essential cookies and similar technologies for authentication, session management, preferences, security, and site operation. Server logs and usage information may be used to maintain performance, prevent abuse, and understand use of the journal service.

User choices and requests
Subject to applicable law and the need to preserve legitimate editorial and scholarly records, users may request access to or correction of their personal information and may request account deactivation or deletion of information that is not required for the scholarly record or other legitimate purposes. Users may update many account details through their profile.

Contact
Questions or requests concerning personal information may be sent to masi@reapress.com. To protect users, the journal may need to verify identity before acting on a request.

By registering, submitting, reviewing, or otherwise using the journal platform, users acknowledge that their information will be handled as described in this statement.