Following the herd: The influence of the bandwagon heuristic on e-commerce shoppers
This research study examined how the number of reviews, review scores product involvement, and product review valence affect consumers' shopping decisions. Specifically, two online experiments were conducted to examine how product review scores interact with the number of reviews, product involvement, and review valence in affecting bandwagon perceptions and purchase intention. A mock website that displays products and product review metrics was constructed for the purpose of the research. The findings suggest that product review scores, and their interaction with product involvement and review valence, influenced consumers' shopping decisions.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
The Bandwagon Effect: Not Just Another Bias
Optimizing recommender systems based on user interaction data is mainly seen as a problem of dealing with selection bias, where most existing work assumes that interactions from different users are independent. However, …
Recommendation SystemsSelection biasOptimal Investment with Herd Behaviour Using Rational Decision Decomposition
In this paper, we study the optimal investment problem considering the herd behaviour between two agents, including one leading expert and one following agent whose decisions are influenced by those of the leading expert…
Decision MakingPeer Effects and Herd Behavior: An Empirical Study Based on the "Double 11" Shopping Festival
This study employs a Bayesian Probit model to empirically analyze peer effects and herd behavior among consumers during the "Double 11" shopping festival, using data collected through a questionnaire survey. The results …
Decision MakingMarketingDisturbances in Influence of a Shepherding Agent is More Impactful than Sensorial Noise During Swarm Guidance
The guidance of a large swarm is a challenging control problem. Shepherding offers one approach to guide a large swarm using a few shepherding agents (sheepdogs). While noise is an inherent characteristic in many real-wo…
Herd Behavior: Investigating Peer Influence in LLM-based Multi-Agent Systems
Recent advancements in Large Language Models (LLMs) have enabled the emergence of multi-agent systems where LLMs interact, collaborate, and make decisions in shared environments. While individual model behavior has been …