The Impact of Online Consumer Reviews on Online Sales: The Case-Based Decision Theory Approach

2020 ◽  
Vol 43 (3) ◽  
pp. 463-490
Author(s):  
M. Huang ◽  
A. D. Pape
Author(s):  
Dhiraj Jain ◽  
Lovish Bhansali ◽  
K. Sanal Nair

Internet has enabled today's consumer to transform himself from passive to an active and an informed consumer who can share his experiences, opinions about product or services with an infinite number of consumers around the globe. These reviews or opinions are further used by potential buyers of that particular product or service via electronic Word of Mouth (e-WOM). The study on the impact of e-WOM on online sales has gradually emerged but a number of questions still remain unanswered. The aim of this study is to assess the impact of one type of e-WOM i.e., the online consumer reviews, on purchasing decisions of electronic products. This empirical study also focuses on the relationship between reviews and purchasing behaviour. An instrument was prepared to measure the proposed constructs, with questionnaire items taken from prior studies but adapted to fit the context of e-commerce. The survey was applied to academicians in India through internet. The results show that consumer reviews have a causal impact on consumer purchasing behaviour and they have an effect on choosing the products by consumer. Finally, the results and their implications are discussed.


2016 ◽  
Vol 28 (9) ◽  
pp. 2035-2051 ◽  
Author(s):  
Giampaolo Viglia ◽  
Roberta Minazzi ◽  
Dimitrios Buhalis

Purpose Online consumer reviews have become increasingly important for consumer decision-making. One of the most prominent examples is the hotel industry where consumer reviews on websites, such as Bookings.com, TripAdvisor and Venere.com, play a critical role in consumers’ choice of a hotel. There have been a number of recent studies analyzing various aspects of online reviews. The purpose of this paper is to investigate their effects in terms of hotel occupancy rates. Design/methodology/approach This paper measures through regression analysis the impact of three dimensions of consumer reviews (i.e. review score, review variance and review volume) on the occupancy rates of 346 hotels located in Rome, isolating a number of other factors that might also affect demand. Findings Review score is the dimension with the highest impact. The results suggest that after controlling for other variables, a one-point increase in the review score is associated to an increase in the occupancy rate by 7.5 percentage points. Regardless the review score, the number of reviews has a positive effect, but with decreasing returns, implying that the higher the number of reviews, the lower the beneficial effect in terms of occupancy rates is. Practical implications The findings quantify the strong association of online reviews to occupancy rates suggesting the use of appropriate reputational management systems to increase hotel occupancy and therefore performance. Originality/value A major contribution of this paper is its comprehensiveness in analyzing the relation between online consumer reviews and occupancy across a heterogeneous sample of hotels.


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