A Novel Recommendation System for Dental Services Based on Online Word-of-Mouth

A Novel Recommendation System for Dental Services Based on Online Word-of-Mouth

Wen-Chin Hsu (National Central University, Jhongli City, Taiwan) and Li-Chuan Chen (National Central University, Jhongli City, Taiwan)
Copyright: © 2017 |Pages: 18
DOI: 10.4018/IRMJ.2017010103

Abstract

Electronic word of mouth (eWoM) is one of the most valuable resources available to consumers in the search for products and services. This paper presents a novel recommendation system in which eWoM citations compiled using search engines are filtered according to the preferences and requirements of users. The proposed mechanism uses descriptive term creation to formalize the language used in searches, which is then classified according to the Rational Decision Making model to facilitate the analysis of eWoM. The proposed system was evaluated by applying it to the search for dental services in Chungli, Taiwan. Experiment results show that the proposed system reduces the time and effort required to sift through search results. Participants reported that the proposed system excels in quality and effectiveness and had a positive effect on their satisfaction and behavioral intentions. From a managerial perspective, the proposed system provides a valuable tool with which to improve service quality by identifying areas in which previous users have provided negative commentary via eWoM.
Article Preview

2. Literature Review

The popularity of online shopping and e-commerce has led to the growth of recommendation systems for the promotion of products as well as services (Sarwar, Karypis, Konstan, & Riedl, 2000). In the following section, we present the concepts on which recommendation systems are constructed as well as an overview of previous literature related to health recommendation systems:

Purchase this article to continue reading all 18 pages >

Complete Article List

Search this Journal:
Reset
Open Access Articles: Forthcoming
Volume 32: 4 Issues (2019): Forthcoming, Available for Pre-Order
Volume 31: 4 Issues (2018)
Volume 30: 4 Issues (2017)
Volume 29: 4 Issues (2016)
Volume 28: 4 Issues (2015)
Volume 27: 4 Issues (2014)
Volume 26: 4 Issues (2013)
Volume 25: 4 Issues (2012)
Volume 24: 4 Issues (2011)
Volume 23: 4 Issues (2010)
Volume 22: 4 Issues (2009)
Volume 21: 4 Issues (2008)
Volume 20: 4 Issues (2007)
Volume 19: 4 Issues (2006)
Volume 18: 4 Issues (2005)
Volume 17: 4 Issues (2004)
Volume 16: 4 Issues (2003)
Volume 15: 4 Issues (2002)
Volume 14: 4 Issues (2001)
Volume 13: 4 Issues (2000)
Volume 12: 4 Issues (1999)
Volume 11: 4 Issues (1998)
Volume 10: 4 Issues (1997)
Volume 9: 4 Issues (1996)
Volume 8: 4 Issues (1995)
Volume 7: 4 Issues (1994)
Volume 6: 4 Issues (1993)
Volume 5: 4 Issues (1992)
Volume 4: 4 Issues (1991)
Volume 3: 4 Issues (1990)
Volume 2: 4 Issues (1989)
Volume 1: 1 Issue (1988)
View Complete Journal Contents Listing