Día: 14 de diciembre de 2024

Using AI to Make Literature Reviews Smarter and More Efficient

Marin-Garcia, J. A., Martinez-Tomas, J., Juarez-Tarraga, A., & Santandreu-Mascarell, C. (2024). Protocol paper: From Chaos to Order. Augmenting Manual Article Screening with Sentence Transformers in Management Systematic Reviews. WPOM-Working Papers on Operations Management, 15, 172–208. https://doi.org/10.4995/wpom.22282

What is it about?

This protocol paper describes a new method to help researchers screen and classify scientific articles more efficiently during systematic literature reviews. The authors propose using AI language models called «sentence transformers» to automatically analyze article titles and abstracts, comparing them to the review’s topic of interest. This helps researchers prioritize which articles to review first, rather than working through them randomly. The method was tested with 14 different AI models on a small set of articles about workplace management practices.

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Why is it important?

As scientific publications grow exponentially, researchers struggle to efficiently review all relevant literature. This method could: * Save significant time in the screening process * Reduce researcher fatigue and potential bias * Make systematic reviews more accessible to researchers with limited resources * Help democratize access to advanced AI tools for academic research * Support evidence-based management practices by making literature reviews more feasible The approach is particularly valuable because it’s designed to complement rather than replace human judgment, and can be implemented using free, accessible tools.

Perspectives

This protocol represents an innovative bridge between cutting-edge AI technology and traditional academic research methods. The authors’ commitment to making the tool freely available and easy to use for researchers worldwide, regardless of technical expertise or resources, is particularly noteworthy. The pilot results suggest promising potential, though more testing is needed to validate the approach at larger scales.

Professor Juan A. Marin-Garcia
Universitat Politecnica de Valencia

Read the Original

This page is a summary of: Protocol paper: From Chaos to Order. Augmenting Manual Article Screening with Sentence Transformers in Management Systematic Reviews, WPOM – Working Papers on Operations Management, December 2024, Universitat Politecnica de Valencia,
DOI: 10.4995/wpom.22282.

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A Three-Step Publishing Model to Support Evidence-Based Management

Marin-Garcia, J. A. (2021). Three-stage publishing to support evidence-based management practice. WPOM-Working Papers on Operations Management, 12(2), 56–95. https://doi.org/10.4995/wpom.11755 

 

What is it about?

This paper proposes a new model for publishing scientific research in business and management that aims to make studies more transparent and useful for practitioners. The model includes three key stages: 1) Publishing the research protocol/plan before starting, 2) Publishing the collected data, and 3) Publishing the final results and conclusions. This approach helps ensure research is well-planned, data is accessible for verification, and findings can be confidently applied in real-world management practice.

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Why is it important?

Currently, there’s a big gap between management research and practice – many research findings never get implemented by actual managers. This model helps bridge that gap by: * Making the research process more transparent and trustworthy * Ensuring data quality through peer review at each stage * Making it easier for practitioners to access and understand findings * Encouraging more systematic, well-planned studies * Supporting evidence-based management decisions The model could significantly improve how management research is conducted and shared, ultimately making it more valuable for both academics and practitioners.

Perspectives

This innovative proposal challenges traditional publishing approaches in management research. While similar models exist in medicine and other fields, this is one of the first attempts to systematically apply such rigorous standards to business research. This offers a practical solution to improve research quality and impact. The detailed guidelines and examples make this a valuable roadmap for researchers wanting to conduct more transparent, reproducible studies.

Professor Juan A. Marin-Garcia
Universitat Politecnica de Valencia

Visitas: 1