This research examines how individuals respond differently to recommendation options
generated by ChatGPT, an AI-powered language model, in five studies. In contrast to …

This study explores how ChatGPT interprets information through the lens of Construal Level
Theory (CLT). The findings show that ChatGPT exhibits an abstraction bias, generating …

Though artificial intelligence (AI) recommendation is a hot topic in recent marketing
research, previous research has shown a convergent tendency for aversion to AI …

In the e-commerce context, are we persuaded more by a product recommendation that
matches our preferences (content filtering) or by one that is endorsed by others like us …

Rapid development and adoption of AI, machine learning, and natural language processing
applications challenge managers and policy makers to harness these transformative …

This study investigates how inaccurate information provided by ChatGPT impacts travelers'
acceptance of recommendations. Six experiments were conducted based on the …

Previous research suggests that consumers would listen more to product recommendations
from other consumers (human recommenders) than from systems based on artificial …

Consumers increasingly encounter recommender systems when making consumption
decisions of all kinds. While numerous efforts have aimed to improve the quality of algorithm …

To assist consumers in product search and selection while shopping online, many e-
commerce retailers have implemented web-based product recommendation agents (PRAs) …

Recommender systems are an integral part of the online retail environment. Prior research
has focused largely on computational approaches to improving recommendation accuracy …