Visual Literature Reviews

Literature reviews or synthesis is an important activity in any scientific discipline. It allows scientific communities to digest, simplify, and give structure to the scientific literature on which the community builds and points to future research direction. In this paper, we propose a novel form of visual literature review, in which we combine systematic literature reviews, meta-analysis, and social network analysis to propose the visual meta-analysis. The goal of the method is to extract findings from studied constructs and relationships found in quantitative studies to construct a network representation of the nomological network. We present ways in which such visualization could be utilized to synthesize the literature and extract useful insights for the broader community. We conclude by discussing the limitations of the method and future potential.

Publication Details

Journal
Journal of the Association for Information Systems
Published
2024-11-19
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
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article

Visual Literature Reviews

Journal of the Association for Information Systems
Data Visualization and Analytics
article

Visual Literature Reviews

article en

Abstract

Literature reviews or synthesis is an important activity in any scientific discipline. It allows scientific communities to digest, simplify, and give structure to the scientific literature on which the community builds and points to future research direction. In this paper, we propose a novel form of visual literature review, in which we combine systematic literature reviews, meta-analysis, and social network analysis to propose the visual meta-analysis. The goal of the method is to extract findings from studied constructs and relationships found in quantitative studies to construct a network representation of the nomological network. We present ways in which such visualization could be utilized to synthesize the literature and extract useful insights for the broader community. We conclude by discussing the limitations of the method and future potential.

Journal of the Association for Information Systems
Quality Education
Openalex Percentile: Top 58%
Data Visualization and Analytics
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Visual Literature Reviews · Journal of the Association for Information Systems (2024) | TGRS Research Map | TGRS