A novel recommendation system for dental services based on online word-of-mouth

Wen Chin Hsu, Li Chuan Chen

研究成果: 雜誌貢獻期刊論文同行評審

1 引文 斯高帕斯(Scopus)

摘要

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.

原文???core.languages.en_GB???
頁(從 - 到)30-47
頁數18
期刊Information Resources Management Journal
30
發行號1
DOIs
出版狀態已出版 - 1 1月 2017

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