Do Professional Reviews Affect Online User Choices Through User Reviews? An Empirical Study

被引：83

作者：

Zhou, Wenqi ^{[1
]}

Duan, Wenjing ^{[2
]}

机构：

[1] Duquesne Univ, Palumbo Donahue Sch Business, Informat Syst Management, Pittsburgh, PA 15282 USA

[2] George Washington Univ, Sch Business, Informat Syst & Technol Management, Washington, DC 20052 USA

来源：

JOURNAL OF MANAGEMENT INFORMATION SYSTEMS | 2016年 / 33卷 / 01期

关键词：

Bayesian modeling; electronic word of mouth; eWoM; mediation model; online reviews; online software markets; professional reviews; word of mouth; WORD-OF-MOUTH; CONSUMER REVIEWS; PRODUCT REVIEWS; MODERATING ROLE; FILM-CRITICS; SOFTWARE; IMPACT; SALES; DYNAMICS; INTERNET;

D O I：

10.1080/07421222.2016.1172460

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

With the broad reach of the Internet, online users frequently resort to various word-of-mouth (WOM) sources, such as online user reviews and professional reviews, during online decision making. Although prior studies generally agree on the importance of online WOM, we have little knowledge of the interplay between online user reviews and professional reviews. This paper empirically investigates a mediation model in which online user reviews mediate the impact of professional reviews on online user decisions. Using software download data, we show that a higher professional rating not only directly promotes software download but also results in more active user-generated WOM interactions, which indirectly lead to more downloads. The indirect impact of professional reviews can be as large as 20 percent of the corresponding total impact. These findings deepen our understanding of online WOM effect, and provide managerial suggestions about WOM marketing and the prediction of online user choices.

引用

页码：202 / 228

页数：27

共 50 条

[1] Do Critical Reviews Affect Box Office Revenues Through Community Engagement and User Reviews?
Chiu, Ya-Ling
Du, Jiangze
Sun, Yide
Wang, Jying-Nan
FRONTIERS IN PSYCHOLOGY, 2022, 13
[2] The Roles of Culture in Online User Reviews: An Empirical Investigation
Kusawat, Poompak
Teerakapibal, Surat
JOURNAL OF GLOBAL MARKETING, 2021, 34 (03) : 189 - 204
[3] User Experience Quantification Model from Online User Reviews
Hussain, Jamil
Azhar, Zahra
Ahmad, Hafiz Farooq
Afzal, Muhammad
Raza, Mukhlis
Lee, Sungyoung
APPLIED SCIENCES-BASEL, 2022, 12 (13):
[4] A Study on Visualization of User Reviews
Yang, Eric
ACHI 2018: THE ELEVENTH INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTER-HUMAN INTERACTIONS, 2018, : 180 - 187
[5] THE ECONOMIC AND BEHAVIORAL CONSEQUENCES OF ONLINE USER REVIEWS
Magnani, Marco
JOURNAL OF ECONOMIC SURVEYS, 2020, 34 (02) : 263 - 292
[6] Feature Extraction from Online User Reviews
Karunathilake, S. P.
Shamal, J. L. A. J.
Pemathilake, R. G. H.
Ganegoda, G. U.
2018 18TH INTERNATIONAL CONFERENCE ON ADVANCES IN ICT FOR EMERGING REGIONS (ICTER) CONFERENCE PROCEEDINGS, 2018, : 265 - 272
[7] Expressions of doubt and trust in online user reviews
Evans, Anthony M.
Stavrova, Olga
Rosenbusch, Hannes
COMPUTERS IN HUMAN BEHAVIOR, 2021, 114
[8] The impact of online user reviews on cameras sales
Zhang, Lin
Ma, Baolong
Cartwright, Debra K.
EUROPEAN JOURNAL OF MARKETING, 2013, 47 (07) : 1115 - 1128
[9] EXPLORING ONLINE REVIEWS FOR USER EXPERIENCE MODELING
Liang, Yan
Liu, Ying
Loh, Han Tong
DESIGN FOR HARMONIES, VOL 7: HUMAN BEHAVIOUR IN DESIGN, 2013,
[10] User Experience of Different Groups in Social VR Applications: An Empirical Study Based on User Reviews
Dong, Jiong
Ota, Kaoru
Dong, Mianxiong
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2024,

← 1 2 3 4 5 →