Search Gaps and Consumer Fatigue

Abstract

This paper documents that consumers frequently take breaks during their search (“search gaps”) and develops and estimates a model that rationalizes search gaps caused by consumer fatigue.

A Scalable Recommendation Engine for New Users and Items

“…First, given the higher search costs and tighter budget constraints in real field settings, we conjecture that the CFB-A would translate into higher revenue in practice because consumers will not likely search nearly as deeply in real field settings as they tend to in an online experimental setting. For example, Bronnenberg et al (2016) find that an average consumer searching for cameras browses the domain-item web pages for 6 products, Choi and Mela (2019) show that an average consumer in a Korean online marketplace browses 78 products and clicks on 0.8 product detail pages, and Ursu et al (2022) find that an average consumer searching for apparel makes 11 product clicks.…”

Does Privacy Regulation Harm Content Providers? A Longitudinal Analysis of the Impact of the GDPR

“…impose on visitors (Ursu et al, 2022). Almost 60% of websites in our sample use consent mechanisms at the end of our data collection.…”

The Noble Quest: Navigating Toward Sustainable Transportation

“…Further, while product labels can result in positive consumer behavior such as healthier lifestyles (Cook et al 2011), this process tends to be complex and subject to influence by aspects such as urgency of purchase, consumer characteristics, prior experience, and perceived risk (Fast, Vosburgh, and Frisbee 1989). Increased information disclosure may not have the desired additive effect for enhanced decision making, as too much information can result in consumer search fatigue (Ursu, Zhang, and Honka 2023).…”