Chatbot Decision-Making Literature Review Analysis

A systematic literature review analyzes 36 academic articles on the use of chatbots for decision-making. The review, authored by Phiwe M. Simelane, categorizes findings into six themes including benefits, challenges, and ethical considerations. It was posted to figshare in April 2026.

Use Cases

• Analyzing the theme 'benefits of using chatbot for decision-making' to identify common positive outcomes reported across studies.
• Comparing findings in the 'human vs. AI decision-making' theme to assess performance gaps between chatbots and humans.
• Extracting information from the 'algorithms/tools used in designing chatbots' theme to map the technological landscape of reviewed systems.
• Reviewing the 'chatbot decision-making in different fields' theme to understand application domains like healthcare or finance.
• Investigating the 'ethical considerations' theme for concerns related to data privacy and bias in chatbot outputs.

Strengths

• Systematic review methodology analyzing 36 distinct academic articles.
• Findings organized into six specific thematic categories for structured analysis.
• Published under a permissive CC-BY-4.0 license allowing for reuse and redistribution.

Limitations

• The dataset is a single 33.1 KB document, offering limited scope and no raw data for computational analysis.
• The literature review covers only 36 articles, representing a small sample of the available research.
• As a review paper, it contains synthesized conclusions rather than primary experimental data.

Provenance

Source

figshare, authored by Phiwe M. Simelane.

Collection Method

Systematic literature review of articles from seven academic databases.

Time Range

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Freshness

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Geography

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