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.


2021 ◽  
Vol 18 (1) ◽  
pp. 33-38
Author(s):  
Mohamad Rafi Raihan Rizal

Rapid technological advances have made blockchain technology applicable not only to digital money, but in various fields. One of the areas that can be implemented by blockchain is digital tourism, specifically in the online review system of tourism products. The current online review system has several problems due to its centralized nature. The problem faced is the manipulation of review data which can be in the form of review deletion by a centralized party. This research proposes a decentralized online review system using the Ethereum blockchain technology, Smart Contracts, and IPFS to provide a secure, transparent, and trustworthy online review system platform. The purpose of this research is to implement a permission-less blockchain as a storage for reviews (review forms and log notes) and develop a web application as a user interface. The data used is data from travel sites which contain details about hotels and restaurants in Bukhara. The results displayed are the development of a web application that implements a permission-less blockchain using Ethereum and the system performance is displayed based on system testing, which comprised of unit testing and Black-Box testing.


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