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Research Resources

Guides for stronger research and writing

Practical guidance on research methodology, data analysis, academic writing, and publishing — curated by the IJKRI editorial team.

GuideResearch Methodology

A Practical Guide to Choosing Your Research Design

How to match your research question to the right design — experimental, correlational, qualitative, or mixed-methods — before you collect a single data point.

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GuideAcademic Writing

Structuring Your Manuscript for Clarity and Impact

A section-by-section guide to structuring a manuscript so reviewers can follow your argument without friction.

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GuideData Analysis

Choosing the Right Statistical Test for Your Data

A quick-reference guide to matching your data type and research question to the appropriate statistical test.

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GuidePublishing

How to Choose the Right Journal for Your Manuscript

What to check before you submit — scope fit, audience, and realistic turnaround — so your manuscript lands with the right readers the first time.

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GuideResearch Methodology

Research Ethics: A Quick-Reference Guide for Authors

Core ethical obligations authors should address before submission — consent, authorship, data integrity, and disclosure.

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GuideResearch Methodology

Framing Innovative and Interdisciplinary Research for Reviewers

How to present novel or cross-disciplinary work so its contribution is legible to reviewers who may not share your specific background.

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GuideResearch Methodology

Managing Multi-Author Research Projects: A Practical Guide

Practical approaches to planning timelines, assigning responsibilities, and coordinating collaborators across a multi-author research project.

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GuideData Analysis

An Introduction to Business Research Methods

An overview of the qualitative and quantitative approaches most common in business and management research, with guidance on when to use each.

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GuideData Analysis

AI and Technology Tools in Academic Research: What's Allowed

A practical look at using AI and research-technology tools responsibly across literature review, analysis, and writing, including disclosure expectations.

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