Performance Analysis of Trustworthy Online Review System using Blockchain

Author(s):  
Tanakorn Karode ◽  
Warodom Werapun
Author(s):  
Paolo Figini ◽  
Laura Vici ◽  
Giampaolo Viglia

Purpose This study aims to compare the rating dynamics of the same hotels in two online review platforms (Booking.com and Trip Advisor), which mainly differ in requiring or not requiring proof of prior reservation before posting a review (respectively, a verified vs a non-verified platform). Design/methodology/approach A verified system, by definition, cannot host fake reviews. Should also the non-verified system be free from “ambiguous” reviews, the structure of ratings (valence, variability, dynamics) for the same items should also be similar. Any detected structural difference, on the contrary, might be linked to a possible review bias. Findings Travelers’ scores in the non-verified platform are higher and much more volatile than ratings in the verified platform. Additionally, the verified review system presents a faster convergence of ratings towards the long-term scores of individual hotels, whereas the non-verified system shows much more discordance in the early phases of the review window. Research limitations/implications The paper offers insights into how to detect suspicious reviews. Non-verified platforms should add indices of scores’ dispersion to existing information available in websites and mobile apps. Moreover, they can use time windows to delete older (and more likely biased) reviews. Findings also ring a warning bell to tourists about the reliability of ratings, particularly when only a few reviews are posted online. Originality/value The across-platform comparison of single items (in terms of ratings’ dynamics and speed of convergence) is a novel contribution that calls for extending the analysis to different destinations and types of platform.


2009 ◽  
Vol 33 (11) ◽  
pp. 925-927
Author(s):  
Marilyn Rhinehart ◽  
Rhonda Barlow ◽  
Stu Shafer ◽  
Debby Hassur
Keyword(s):  

Author(s):  
Tom Stafford

I have been editing for a while. Long enough to have witnessed the evolution from pre-digital journals to the post-digital pure play. I negotiated and obtained the first online review system for this fine journal, back in 2006 when I was building my first proposal to edit The DATA BASE for Advances in Information Systems. I felt at the time that I might be a tad late coming to the digital field, seeing that the association I belonged to had already launched two digital pure-play publications which appeared to be destined for notice.


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