Good Practice for Product Management Decision-Making: Using Amazons Dataset and ChatGPT

This study examines how Chat Generative Pre-trained Transformer (ChatGPT) can be effectively utilised as a good practice to analyse Amazon reviews within the creative and cultural industry category of Design, particularly Arts, Crafts & Sewing.By focusing on specific products and reviews extracted from a dataset containing over 800,000 products and nearly nine million reviews, ChatGPT identified common themes and customer issues such as software problems and product reliability.When we compared ChatGPT's results with those from manual data reviews, we found that ChatGPT was adept at identifying main topics but sometimes missed detailed insights or altered the original reviews when providing examples.This indicates that while ChatGPT can quickly highlight important areas for product managers, it should be used in conjunction with human analysis to achieve a comprehensive understanding.Nonetheless, the results demonstrate that when considering group creativity, ChatGPT can be a valuable member.

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Publication Details

Journal
Amfiteatru Economic
Published
2025-05-01
DOI
https://doi.org/10.24818/ea/2025/69/675
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
2.28
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article

Good Practice for Product Management Decision-Making: Using Amazons Dataset and ChatGPT

Tine Bertoncel, Mitja Bervar
1 citations
Amfiteatru Economic
Big Data and Business Intelligence
2.28
article

Good Practice for Product Management Decision-Making: Using Amazons Dataset and ChatGPT

Tine Bertoncel, Mitja Bervar
article en
1 citations

Abstract

This study examines how Chat Generative Pre-trained Transformer (ChatGPT) can be effectively utilised as a good practice to analyse Amazon reviews within the creative and cultural industry category of Design, particularly Arts, Crafts & Sewing.By focusing on specific products and reviews extracted from a dataset containing over 800,000 products and nearly nine million reviews, ChatGPT identified common themes and customer issues such as software problems and product reliability.When we compared ChatGPT's results with those from manual data reviews, we found that ChatGPT was adept at identifying main topics but sometimes missed detailed insights or altered the original reviews when providing examples.This indicates that while ChatGPT can quickly highlight important areas for product managers, it should be used in conjunction with human analysis to achieve a comprehensive understanding.Nonetheless, the results demonstrate that when considering group creativity, ChatGPT can be a valuable member.

Amfiteatru EconomicVol. 27(69)
Peace, Justice and strong institutions
Openalex Percentile: Top 12%
Big Data and Business Intelligence
2.28
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