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Title:
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A TEXT-MINING ANALYSIS OF ONLINE REVIEWS ON CAR-SHARING SERVICES |
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Author(s):
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Yun Jik Jeong, Yeon Ji Yang, Jaehye Suk, Kee Ok Kim |
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ISBN:
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978-989-8533-84-5 |
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Editors:
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Piet Kommers, Tomayess Issa, Theodora Issa, Pedro Isaías and Wendy Hui |
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Year:
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2019 |
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Edition:
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Single |
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Keywords:
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Car-sharing Service, Text Mining, Online Reviews, Topic Modeling |
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Type:
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Poster/Demonstration |
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First Page:
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167 |
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Last Page:
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169 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Two of the key challenges of the 21st century are the sustainable use of natural resources and global climate protection. The car-sharing service has emerged as an alternative to vehicle ownership and can contribute to addressing the economic and environmental challenges posed by mobility. However, for this to happen, consumers must be willing to use car-sharing services, which need to develop a consumer-driven perspective. This study explores consumers perspectives by investigating online reviews on car-sharing in google play website. A text-mining analysis of online reviews in Korea was conducted. Four topic-modeling keywords on car-sharing services were analyzed with text data regarding the last three years. Understanding chances and risks as well as advantages and disadvantages from consumers perspectives aids the planning and designing of a better car-sharing service. This study reveals grass-root opinions from consumers and implies that car-sharing service providers have to meet market demands in order to increase market penetration. |
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