Are Satisfied Customers More Loyal? Examining the Moderating Influences of Consideration Set Size and Price-Consciousness

2010 ◽  
Author(s):  
Vishal Bindroo ◽  
Xin He ◽  
Raj Echambadi
Keyword(s):  
Consideration Set ◽  
Price Consciousness ◽  
Set Size

Combining the role of convenience and consideration set size in explaining fish consumption in Norway

Appetite ◽  
2009 ◽  
Vol 52 (2) ◽  
pp. 313-317 ◽  
Author(s):  
Asbjorn Warvik Rortveit ◽  
Svein Ottar Olsen
Keyword(s):  
Fish Consumption ◽  
Consideration Set ◽  
Set Size

scholarly journals Managing sub-branding affect transfer: the role of consideration set size and brand loyalty

2014 ◽  
Vol 27 (1) ◽  
pp. 103-113 ◽  
Author(s):  
Yi He ◽  
Qimei Chen ◽  
Leona Tam ◽  
Ruby P. Lee
Keyword(s):  
Brand Loyalty ◽  
Consideration Set ◽  
Set Size ◽  
Affect Transfer

How Digital Word-of-Mouth Affects Consumer Decision Making: Evidence from Doctor Appointment Booking

2020 ◽  
Author(s):  
Aishwarya Deep Shukla ◽  
Guodong (Gordon) Gao ◽  
Ritu Agarwal
Keyword(s):  
Decision Making ◽  
Word Of Mouth ◽  
Three Dimensions ◽  
Consumer Decision Making ◽  
Consumer Decision ◽  
Consideration Set ◽  
Clickstream Data ◽  
Set Size ◽  
Online Word Of Mouth ◽  
Decision Making Processes

We use detailed clickstream data on online word-of-mouth (WOM) to uncover mechanisms underlying its influence on consumer decision making. A feature launch on a major doctor appointment booking platform allows us to examine the effects of online WOM on three dimensions of a consumer’s choice process: the consideration set size, the time taken to consider alternatives (web session duration), and the geographic dispersion of the choices considered. Results indicate that the effects of WOM on decision-making processes are not monotonic but rather are contingent on the abundance of WOM (number of rated doctors) in a market. When the abundance of WOM is high, the introduction of WOM makes patients consider fewer doctors, browse for a shorter duration, and focus on doctors that are geographically more proximate. In contrast, when the abundance of WOM is low, the introduction of WOM makes patients consider more doctors, browse for longer duration, and consider doctors that are geographically more dispersed. We also find that WOM can lead to a cannibalization effect: when ratings are published, the highly rated doctors reap the benefits (in the form of increased demand) at the expense of unrated doctors. Our study contributes to the extant literature on online WOM by providing new insights into how WOM influences consumer decision making and by examining this question at a more granular level than prior work. This paper was accepted by Anandhi Bharadwaj, information systems.

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