Harnessing Social Media Lead Users for Product Innovation: A Comparative Analysis with E-commerce Buyers Using Large Language Models

Online reviews not only influence consumers’ purchasing decisions but can also serve as valuable inputs for product innovations. This study aims to investigate how social media lead users compared to customers in contributing to product innovation, using generative large language models (LLMs). This research will analyse reviews from YouTube and Amazon, in which LLMs will perform content summarisation, thematic analysis, and sentiment analysis to identify different perspectives between these user groups. The expected outcomes include a better understanding of the distinct roles that lead users and e-commerce buyers play in product innovation, along with a low-cost and accessible method for analysing online product reviews. The study contributes by offering new insights into how different types of user feedback can be leveraged for open innovation.

Publication Details

Journal
Journal of the Association for Information Systems
Published
2024-12-10
Primary Topic
Magnetic confinement fusion research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Harnessing Social Media Lead Users for Product Innovation: A Comparative Analysis with E-commerce Buyers Using Large Language Models

Journal of the Association for Information Systems
Magnetic confinement fusion research
article

Harnessing Social Media Lead Users for Product Innovation: A Comparative Analysis with E-commerce Buyers Using Large Language Models

article en

Abstract

Online reviews not only influence consumers’ purchasing decisions but can also serve as valuable inputs for product innovations. This study aims to investigate how social media lead users compared to customers in contributing to product innovation, using generative large language models (LLMs). This research will analyse reviews from YouTube and Amazon, in which LLMs will perform content summarisation, thematic analysis, and sentiment analysis to identify different perspectives between these user groups. The expected outcomes include a better understanding of the distinct roles that lead users and e-commerce buyers play in product innovation, along with a low-cost and accessible method for analysing online product reviews. The study contributes by offering new insights into how different types of user feedback can be leveraged for open innovation.

Journal of the Association for Information Systems
Industry, innovation and infrastructure
Openalex Percentile: Top 51%
Magnetic confinement fusion research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.