InsightiGen: a versatile tool to generate insight for an academic systematic literature review
Ardeshir Shojaeinasab, Masoud Jalayer, Homayoun Najjaran

TL;DR
InsightiGen is a versatile tool that automates the generation of insights from literature data, helping researchers identify trends, gaps, and networks in systematic reviews across various fields.
Contribution
The paper introduces InsightiGen, a novel tool that automates insight generation for systematic literature reviews, enhancing efficiency and comprehensiveness.
Findings
Provides rapid, automated insights into research trends.
Identifies knowledge gaps and research networks.
Enhances the quality of systematic reviews.
Abstract
A comprehensive literature review has always been an essential first step of every meaningful research. In recent years, however, the availability of a vast amount of information in both open-access and subscription-based literature in every field has made it difficult, if not impossible, to be certain about the comprehensiveness of one's survey. This subsequently can lead to reviewers' questioning of the novelties of the research directions proposed, regardless of the quality of the actual work presented. In this situation, statistics derived from the published literature data can provide valuable quantitative and visual information about research trends, knowledge gaps, and research networks and hubs in different fields. Our tool provides an automatic and rapid way of generating insight for systematic reviews in any research area.
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Taxonomy
TopicsMeta-analysis and systematic reviews · Impact of AI and Big Data on Business and Society
