An Empirical Study on the Differences between Online Picture Reviews and Text Reviews

被引:2
|
作者
Luo, Hanyang [1 ]
Zhou, Wanhua [2 ]
Song, Wugang [2 ]
He, Xiaofu [2 ]
机构
[1] Shenzhen Univ, Coll Management, Inst Big Data Intelligent Management & Decis, Shenzhen 518060, Peoples R China
[2] Shenzhen Univ, Coll Management, Shenzhen 518060, Peoples R China
关键词
online hotel review; picture review; text review; e-commerce; review system; CUSTOMER REVIEWS; INFORMATION; PHOTOS; INTERNET; IMPACT; TRUST;
D O I
10.3390/info13070344
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In the context of e-commerce, online travel agencies often derive useful information from online reviews to improve transactions. Based on the dispute on the usefulness of different types of reviews and social exchange theory, this study investigates how the characteristics of pictures and text influence review reading and review posting behaviors and thus influencing the efficiency of online review systems. By analyzing crawled data of online hotels and conducting experiments, we first find that picture reviews are more useful than text reviews, and high-quality pictures in reviews have a significant impact on review usefulness. Second, posting pictures requires review posters to pay more perceived costs. Third, negative review posters have higher perceived costs, so they are more unwilling to post pictures, especially high-quality pictures. Our results indicate that review platforms need to add incentives to encourage consumers to post high-quality picture reviews and design workable interfaces to reduce the burden of negative reviewers to speed up the purchase decision process for review readers. This study provides theoretical implications by demonstrating how the adoption of the picture in review systems influences both review readers' and review posters' behaviors. Additionally, our findings also provide useful managerial insights for online travel suppliers in terms of building an effective review system to promote sales.
引用
收藏
页数:21
相关论文
共 50 条
  • [31] Promotional Reviews: An Empirical Investigation of Online Review Manipulation
    Mayzlin, Dina
    Dover, Yaniv
    Chevalier, Judith
    AMERICAN ECONOMIC REVIEW, 2014, 104 (08): : 2421 - 2455
  • [32] The Roles of Culture in Online User Reviews: An Empirical Investigation
    Kusawat, Poompak
    Teerakapibal, Surat
    JOURNAL OF GLOBAL MARKETING, 2021, 34 (03) : 189 - 204
  • [33] Systematic differences in online reviews of hotel services between business and leisure travelers
    Kim, Jong Min
    Ma, Haoxiang
    Park, Sungjun
    JOURNAL OF VACATION MARKETING, 2023, 29 (02) : 189 - 205
  • [34] Fake Reviews or Not: Exploring the relationship between time trend and online restaurant reviews
    Hlee, Sunyoung
    Lee, Hyunae
    Koo, Chulmo
    Chung, Namho
    TELEMATICS AND INFORMATICS, 2021, 59
  • [35] An empirical study of sentiments in code reviews
    El Asri, Ikram
    Kerzazi, Noureddine
    Uddin, Gias
    Khomh, Foutse
    Idrissi, M. A. Janati
    INFORMATION AND SOFTWARE TECHNOLOGY, 2019, 114 : 37 - 54
  • [36] An empirical comparison of machine learning methods for text-based sentiment analysis of online consumer reviews
    Alantari, Huwail J.
    Currim, Imran S.
    Deng, Yiting
    Singh, Sameer
    INTERNATIONAL JOURNAL OF RESEARCH IN MARKETING, 2022, 39 (01) : 1 - 19
  • [37] Immigration Judicial Reviews: An Empirical Study
    Khilmi, Erfina Fuadatul
    SOCIAL & LEGAL STUDIES, 2024, 33 (02) : 300 - 303
  • [38] Exploring the Relationship Between Viewer Experience and Movie Genre - A Study Based on Text Mining of Online Movie Reviews
    Swierczynska-Kaczor, Urszula
    PROBLEMY ZARZADZANIA-MANAGEMENT ISSUES, 2019, 17 (05): : 154 - 175
  • [39] DISCOVERING CULTURAL DIFFERENCES IN ONLINE CONSUMER PRODUCT REVIEWS
    Wang, Yu
    Wang, Zhigang
    Zhang, Dongsong
    Zhang, Ru
    JOURNAL OF ELECTRONIC COMMERCE RESEARCH, 2019, 20 (03): : 169 - 183
  • [40] Gender differences in consumers’ perception of online consumer reviews
    Soonyong Bae
    Taesik Lee
    Electronic Commerce Research, 2011, 11 : 201 - 214