Search
Systematic Literature Review
Economics and Business Administration
SLR Tools (Open Source)
Features Overview
| TOOL | Research Field | Mode | SLR Task | Minimum Requirement | Input Data needed | User Interface | Pre-Screening Support |
|---|---|---|---|---|---|---|---|
| ASR Reviews |
any | Desktop | Classification of relevant papers | Relevant papers: 1; Irrelevant Papers: 1 |
Title & Abstract | Enables users to classify papers as either relevant or irrelevant | Filter paper by keyword |
| Colandr | any | Web | 1. Classification of relevant papers; 2. Identification of the category attributed to the paper by the user. |
1: Relevant papers: 10; Irrelevant Papers: 10; 2: Minimum 50 papers |
Title & Abstract & Fulltext | Enables users to define specific categories to assign to the papers | Filter paper by keyword, colourcoding keywords on their relevance level |
| Fast² | any | Web | Classification of relevant papers | Title & Abstract | |||
| Robot Reviewer/ Robot Search |
Bio- medicine |
Web | Classification of relevant papers | Relevant papers: NA; Irrelevant Papers: NA Title & Abs |
Title & Abstract | PICO identification using distinct colours for highlighting |
Source: Bolaños, F. et al. (2024): Artificial intelligence for literature reviews: opportunities and challenges. In: Artificial Intelligence Review, 57 (10), p. 259. https://doi.org/10.1007/s10462-024-10902-3