Submissions

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Author Guidelines

Authors are invited to submit scientific and professional articles relevant to the scope of the journal. All submissions are first screened by the editors and then sent for double-blind peer review, which assesses the originality, methodological adequacy and academic contribution of the article.

Two-stage preparation

  • Initial submission (peer review): no template is required. Submit an anonymised Word file in any clear, readable layout that follows the requirements below.
  • Accepted manuscripts: after acceptance, the editorial office prepares the final layout. Authors check and approve the proofs before publication.

Manuscript preparation

  • Language: English. British or American English may be used, but consistently throughout the manuscript.
  • Length: scientific articles up to 36,000 characters including spaces; review studies, case studies and other article types up to 20,000 characters including spaces. Counts include the title, abstract and references.
  • Title: no more than 15 words.
  • Abstract: 150–200 words, structured under four headings: Purpose; Study design/methodology/approach; Findings; Originality/value. No citations or abbreviations.
  • Keywords: 3 to 7.
  • Structure: logically organised; for empirical articles we recommend the IMRAD format. Use no more than three heading levels, numbered 1, 1.1 and 1.1.1.
  • Layout for review: 1.5 or double line spacing; line numbering is recommended.
  • Figures and tables: placed in the text where they belong, numbered consecutively and titled. Figures must also be uploaded as separate files, named as in the text (Figure 1, Figure 2, etc.), at a resolution of at least 300 dpi at print size. Figures of insufficient technical quality may be excluded.
  • References: APA 7th edition, listed alphabetically, with DOIs wherever available (see the examples below).

Files to upload

  1. Manuscript (anonymised): the full text without author names, affiliations, acknowledgements or funding information. Remove identifying information from the file properties and refer to your own previous work in the third person.
  2. Title page: the title of the manuscript; for each author, full name, affiliation, country, e-mail address and ORCID iD; the corresponding author; acknowledgements; funding information; a conflict of interest statement; and author contributions (CRediT). Please do not include academic titles. This file is not shared with reviewers.
  3. Figures (if applicable).

File names must not contain the authors' names (e.g., Manuscript.docx, Title_page.docx).

Submitting through the online system

  • Username: when registering, choose a username consisting only of lowercase letters, numbers, hyphens and underscores. Your e-mail address cannot be used as a username; some browsers fill it in automatically.
  • Submission form: the title, abstract, keywords and author details must also be entered in the form, even though they appear in your files. These metadata are used for indexing (e.g., Crossref and DOAJ) and are shown to reviewers when they are invited. Please enter all co-authors in the correct order and without academic titles.
  • Confirmation: you will receive a confirmation e-mail after submission. If it does not arrive within a few hours, please check your spam folder and then contact the editorial office.

Data availability

Every manuscript must include a short Data Availability statement indicating where the data supporting the findings are stored, that they are available from the corresponding author on request, or why they cannot be shared (see the policy below).

Ethical obligations

The authors are responsible for:

  • obtaining permission to use copyrighted material (photographs, data, documents);
  • accurately listing all co-authors, who must agree to publication and who jointly bear full responsibility for the content;
  • compliance with ethical standards where applicable, including approval from the relevant ethics committee.

Use of generative AI

  • Generative AI tools, such as large language models, do not meet the criteria for authorship and may not be listed as authors. Authorship entails responsibilities that only humans can assume.
  • Authors may use AI tools in preparing their manuscripts. They remain fully responsible for the content, including the accuracy of facts, data and references, and its originality.
  • Any use of AI beyond language editing must be disclosed in the Methods section, or in another appropriate section if the article has no Methods section. This includes use in data collection or analysis, coding, literature searches, and generating text or figures. The disclosure must state the name and version of the tool, how it was used and why.
  • AI-assisted copy editing does not need to be declared. This covers improving the grammar, spelling, style and readability of text written by the authors.
  • Images and figures created with generative AI are not permitted unless AI itself is the subject of the research. In that case their use must be disclosed and explained.
  • Reviewers must not upload manuscripts or any part of them into generative AI tools, as this may breach confidentiality.

Submission Preparation Checklist

  • The submission has not been previously published and is not under consideration by another journal.
  • The manuscript is in English (British or American, used consistently) and within the length limit for its article type.
  • The manuscript file is anonymised. Author details are provided in a separate Title page file, and no file name contains the authors' names.
  • The title has no more than 15 words, the structured abstract has 150–200 words, and there are 3–7 keywords.
  • Headings use no more than three numbered levels.
  • Figures and tables are placed in the text, and figures are also uploaded separately at a minimum of 300 dpi.
  • References follow APA 7th edition and include DOIs where available.
  • A Data Availability statement is included.
  • Any use of generative AI beyond language editing is disclosed in the manuscript.

Articles

Reference examples

The journal uses APA 7th edition, which requires author–date in-text citations. Every source cited in the text must have a complete entry in the reference list. Full guidelines: https://apastyle.apa.org/style-grammar-guidelines

In-text citations

  • One author: According to Smith (2020) … / … (Smith, 2020). Omit suffixes such as "Jr." in in-text citations.
  • Two authors: According to Smith and Jones (2020) … / … (Smith & Jones, 2020). Use "and" in running text and "&" within parentheses.
  • Three or more authors: According to Smith et al. (2020) … / … (Smith et al., 2020). Use "et al." from the first citation onwards.
  • Group author: World Health Organization (2024) … / … (World Health Organization, 2024).
  • Several works: list them alphabetically and separate them with semicolons: (Jones, 2018; Smith, 2020).

Reference list

Book

Dewey, J. (1916). Democracy and education: An introduction to the philosophy of education. Macmillan.

Cohen, L., Manion, L., & Morrison, K. (2018). Research methods in education (8th ed.). Routledge.

Edited book

Schutz, P. A., & Muis, K. R. (Eds.). (2023). Handbook of educational psychology (4th ed.). Routledge. https://doi.org/10.4324/9780429433726

Book chapter

Caldecott-Davis, K., Collie, R. J., & Martin, A. J. (2023). Need satisfaction and links with social-emotional motivation and outcomes among students. In B. Ng (Ed.), Self-determination theory and socioemotional learning (pp. 19–37). Springer. https://doi.org/10.1007/978-981-99-7897-7_2

Journal article

Fuchs, L. S., Fuchs, D., Sterba, S. K., Barnes, M. A., Seethaler, P. M., & Changas, P. (2022). Building word-problem solving and working memory capacity: A randomized controlled trial comparing three intervention approaches. Journal of Educational Psychology, 114(7), 1633–1653. https://doi.org/10.1037/edu0000752

Gornjak, M. (2017). Comparison of IAS 39 and IFRS 9: The analysis of replacement. International Journal of Management, Knowledge and Learning, 6(1), 115–130. https://EconPapers.repec.org/RePEc:isv:jouijm:v:6:y:2017:i:1:p:115-130

Report

Vuorikari, R., Kluzer, S., & Punie, Y. (2022). DigComp 2.2: The Digital Competence Framework for Citizens – With new examples of knowledge, skills and attitudes. Publications Office of the European Union. https://doi.org/10.2760/115376

Webpage and online news

National Alliance on Mental Illness. (n.d.). Mental health conditions. https://www.nami.org/Learn-More/Mental-Health-Conditions

Tamez-Robledo, N. (2025, March 27). Teachers believe that AI is here to stay in education. How it should be taught is debatable. EdSurge. https://www.edsurge.com/news/2025-03-27-teachers-believe-that-ai-is-here-to-stay-in-education-how-it-should-be-taught-is-debatable

World Health Organization. (2023, December 20). Infant and young child feeding. Retrieved May 15, 2025, from https://www.who.int/news-room/fact-sheets/detail/infant-and-young-child-feeding (include a retrieval date only for content designed to change over time).

Thesis or dissertation

Vrtačič, T. (2020). Pripovedovanje zgodb po kriteriju koherentnosti in kohezivnosti ter vpliv družinskega branja na govorno-jezikovni razvoj otrok [Storytelling according to the criteria of coherence and cohesion and the influence of family reading on children's speech and language development] [Bachelor's thesis, University of Ljubljana]. PeFprints. http://pefprints.pef.uni-lj.si/6168/

Author, A. A. (Year). Title of dissertation [Unpublished doctoral dissertation]. Name of University.

Dataset

Creator, A. A., & Creator, B. B. (Year). Title of dataset (Version x) [Data set]. Repository. https://doi.org/xxxx

Research Data Retention and Availability Policy

To support transparency, reproducibility, and responsible research conduct, the International Journal of Management, Knowledge and Learning (IJMKL) requires that authors retain the research data and other materials underpinning the results reported in submitted manuscripts.

What must be retained

Authors must retain, where applicable:

  • the underlying dataset(s) used for analyses (including processed data used to generate tables/figures),
  • documentation needed to interpret the data (e.g., codebooks, survey instruments, interview protocols, variable definitions),
  • analysis materials required to reproduce the results (e.g., scripts, code, model specifications, calculation workflows).

Where data should be stored

IJMKL strongly encourages authors to deposit data in a trusted repository appropriate for their discipline and data type (public, institutional, or certified repositories), including a persistent identifier where available (e.g., DOI).

If repository deposition is not feasible, authors must ensure that:

  • the research data are retained by the corresponding author (or the author’s institution), and
  • the data are available for re-analysis, verification, or inspection upon reasonable request.

How data are made available

Unless legal, ethical, contractual, privacy, security, or intellectual-property constraints apply, authors must make the retained data available to qualified researchers upon request via the corresponding author’s email address. Where restrictions apply, authors must provide an explanation and, where possible, share de-identified, aggregated, or otherwise appropriately restricted versions of the data.

Data availability statement

IJMKL requires a short “Data Availability” statement in the manuscript, indicating:

  • where the data are stored (repository link/identifier), or
  • that data are held by the corresponding author and available on request (including the contact email), or
  • the reason data cannot be shared (with a brief justification).

Policy on Requiring Citation of Research Data and Other Research Outputs in References

Data Citation and Citation of Research Outputs Policy

IJMKL requires appropriate citation of research data and other non-traditional research outputs (e.g., datasets, software/code, protocols, instruments, preprints, registered reports, supplementary materials) that are used, generated, or reused in the research reported in submitted manuscripts.

General requirement

Any dataset or other research output that materially supports the findings of a paper must be cited in the manuscript and included in the reference list, not only mentioned in the text or acknowledgements.

How to cite datasets

When authors use or generate research data that are publicly available, deposited in a repository, or otherwise shared, the dataset should be cited with standard bibliographic elements, as applicable:

  • Creator(s)/Author(s)
  • Year
  • Title of dataset
  • Version (if applicable)
  • Repository/Publisher
  • Persistent identifier (preferably DOI) or stable URL

Example dataset reference format (template)

Creator, A. A., & Creator, B. B. (Year). Title of dataset (Version x) [Data set]. Repository. https://doi.org/xxxx

Software/code and other outputs

Software, code, and other research outputs that are necessary to interpret or reproduce the results should also be cited in the reference list using a persistent identifier where possible (e.g., DOI for archived code releases) or a stable repository URL.

Data reuse

If authors reuse third-party datasets or research outputs, they must cite the original source and comply with the applicable license/terms of use.

Copyright Notice

IJMKL is an Open Access journal. Articles are published under the Creative Commons Attribution-ShareAlike 4.0 International licence (CC BY-SA 4.0).

All articles are freely and permanently accessible online immediately upon publication, without subscription charges or registration barriers. Readers may read, download, copy, distribute, print, search or link to the full texts of all articles.

Copyright for all articles published in IJMKL is retained by the authors.

No article submission or article processing charges are applied.

Privacy Statement

The IJMKL journal is committed to protecting personal data in accordance with applicable data protection legislation in Slovenia and the EU, including the General Data Protection Regulation (GDPR).

Processing of personal data

The personal data of authors, reviewers, and other contributors are collected and processed exclusively for the purposes of managing the review process, publishing scientific articles, and ensuring the quality of scientific communication.

Data storage and protection

The collected data is stored on secure servers and is not accessible to unauthorized persons. We use appropriate technical and organizational measures to protect data from unauthorized access, loss, or misuse.

Data sharing

Personal data will not be disclosed to third parties without explicit consent, except in cases where this is required by law or is necessary for the editorial process (e.g., exchange of data between authors and reviewers in the context of the review process).

Individual rights

Individuals have the right to access their personal data, correct inaccurate data, restrict processing, or delete data where this does not affect the legitimacy of the editorial process. Requests regarding the processing of personal data can be addressed to the editorial office of the journal via email.

For more information on personal data protection, please contact the editorial office of the journal.