How do recommender systems induce consumers to buy? Extant research neglects to examine the causal paths through which the use of recommender systems leads to consumer purchases. In this study, we conduct a randomized controlled field experiment on the website of an online book retailer and explore the causal paths by employing the recently developed causal mediation approach. Not surprisingly, the results show that the presence of personalized recommendations increases consumers' propensity to buy by 12.4% and basket value by 1.7%. More importantly, we find that these positive economic effects are largely mediated through affecting the consumers' consideration sets. Specifically, the presence of personalized recommendations increases both ...
The last ten years have seen a large increase in the number of products available. Many believe this...
Existing research on recommender systems has mostly focused on developing algorithms to predict the ...
Recommender Systems (RSs) help users search large amounts of digital contents and services by allowi...
How do recommender systems induce consumers to buy? Extant research neglects to examine the causal p...
[eng] Psychological perspective has been omitted or considered a secondary issue by past studies foc...
As recommender systems have increasingly become prevalent to guide consumers to find their desired p...
Recommender systems are becoming a salient part of many e-commerce websites. Much research has focus...
This paper investigates the potential of recommendation agents for electronic shopping to influence ...
Personalization mechanisms such as recommender systems play an important role in online retail, and ...
Online retailers are increasingly utilizing recommender systems to offer product recommendations to ...
We investigate the impact of several different recommender algorithms (e.g., Amazon.com's “Cons...
Online stores offer an increasingly large set of products. Interactive decision aids are becoming in...
The book deals with product recommendations generated by information systems referred to as recommen...
Recommender systems have been introduced to help consumers navigate large sets of alternatives. They...
Using high-frequency transaction-level data from an online retail store, we examine whether consumer...
The last ten years have seen a large increase in the number of products available. Many believe this...
Existing research on recommender systems has mostly focused on developing algorithms to predict the ...
Recommender Systems (RSs) help users search large amounts of digital contents and services by allowi...
How do recommender systems induce consumers to buy? Extant research neglects to examine the causal p...
[eng] Psychological perspective has been omitted or considered a secondary issue by past studies foc...
As recommender systems have increasingly become prevalent to guide consumers to find their desired p...
Recommender systems are becoming a salient part of many e-commerce websites. Much research has focus...
This paper investigates the potential of recommendation agents for electronic shopping to influence ...
Personalization mechanisms such as recommender systems play an important role in online retail, and ...
Online retailers are increasingly utilizing recommender systems to offer product recommendations to ...
We investigate the impact of several different recommender algorithms (e.g., Amazon.com's “Cons...
Online stores offer an increasingly large set of products. Interactive decision aids are becoming in...
The book deals with product recommendations generated by information systems referred to as recommen...
Recommender systems have been introduced to help consumers navigate large sets of alternatives. They...
Using high-frequency transaction-level data from an online retail store, we examine whether consumer...
The last ten years have seen a large increase in the number of products available. Many believe this...
Existing research on recommender systems has mostly focused on developing algorithms to predict the ...
Recommender Systems (RSs) help users search large amounts of digital contents and services by allowi...