Online Video Reviews Helpfulness: Exploratory Study

被引：0
|
作者：
Alsharo, Mohammad [1 ]
Sibona, Christopher [2 ]
Alnsour, Yazan [3 ]
机构：
[1] Al Albayt Univ, Al Mafraq, Jordan
[2] Univ North Carolina Wilmington, Wilmington, NC USA
[3] Univ Colorado, Denver, CO 80202 USA
来源：
AMCIS 2016 PROCEEDINGS | 2016年
关键词：
Social commerce; social computing; online video review; online review helpfulness; YouTube; economics of information theory; WORD-OF-MOUTH; SOCIAL COMMERCE; PEOPLE;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Online reviews assist consumers in making an informed purchase decision and they became a trusted source for product information. This study aims to investigate online video reviews on YouTube to understand what are the most commonly reviewed products and what are the factors of YouTube video reviews which contribute to review helpfulness. We use qualitative and quantitative techniques as research methodologies. The results show that major categories reviewed on YouTube are video games, movies, and technology. Exploratory factor analysis revealed four important factors that may determine online video review helpfulness which are review popularity, comments, video information, and review depth. A conceptual model is introduced based on the factor analysis. The study has significant implications to research as it provides new insights regarding the role of online video reviews in purchases decision making process.
引用
收藏
页数：10
相关论文
共 50 条
  • [31] Online product reviews helpfulness prediction based on topic analysis
    Zhang, Wen
    Wang, Qiang
    Du, Yuhang
    Nie, Kun
    Li, Jian
    [J]. Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice, 2022, 42 (10): : 2757 - 2768
  • [32] Message Characteristics in Online Product Reviews and Consumer Ratings of Helpfulness
    Liang, Yuhua
    DeAngelis, Brianna N.
    Clare, David D.
    Dorros, Sam M.
    Levine, Timothy R.
    [J]. SOUTHERN COMMUNICATION JOURNAL, 2014, 79 (05) : 468 - 483
  • [33] Rating and perceived helpfulness in a bipartite network of online product reviews
    Campos, Pedro
    Pinto, Eva
    Torres, Ana
    [J]. ELECTRONIC COMMERCE RESEARCH, 2023,
  • [34] Semantic Analysis and Helpfulness Prediction of Text for Online Product Reviews
    Yang, Yinfei
    Yan, Yaowei
    Qiu, Minghui
    Bao, Forrest Sheng
    [J]. PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL) AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (IJCNLP), VOL 2, 2015, : 38 - 44
  • [35] On the Role of Score, Genre and Text in Helpfulness of Video Game Reviews on Metacritic
    Kasper, Patrick
    Koncar, Philipp
    Santos, Tiago
    Gutl, Christian
    [J]. 2019 SIXTH INTERNATIONAL CONFERENCE ON SOCIAL NETWORKS ANALYSIS, MANAGEMENT AND SECURITY (SNAMS), 2019, : 75 - 82
  • [36] Evaluating key antecedents and consequences of the perceived helpfulness of online consumer reviews: A South African study
    Moloi, Molise
    Quaye, Emmanuel Silva
    Saini, Yvonne Kabeya
    [J]. ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS, 2022, 54
  • [37] Examining the Influence of Emotional Expressions in Online Consumer Reviews on Perceived Helpfulness
    Chen, Mei-Ju
    Farn, Cheng-Kiang
    [J]. INFORMATION PROCESSING & MANAGEMENT, 2020, 57 (06)
  • [38] Investigating the role of review presentation format in affecting the helpfulness of online reviews
    Cui, Yi
    Wang, Xiaoning
    [J]. ELECTRONIC COMMERCE RESEARCH, 2022,
  • [39] Can two-sided messages increase the helpfulness of online reviews?
    Chen, Ming-Yi
    [J]. ONLINE INFORMATION REVIEW, 2016, 40 (03) : 316 - 332
  • [40] ANXIOUS OR ANGRY? EFFECTS OF DISCRETE EMOTIONS ON THE PERCEIVED HELPFULNESS OF ONLINE REVIEWS
    Yin, Dezhi
    Bond, Samuel D.
    Zhang, Han
    [J]. MIS QUARTERLY, 2014, 38 (02) : 539 - 560
12345