Rebate strategy to stimulate online customer reviews

被引:39
|
作者
Yang, Liu [1 ]
Dong, Shaozeng [1 ,2 ]
机构
[1] Univ Int Business & Econ, Business Sch, Beijing 100029, Peoples R China
[2] Harbin Univ Sci & Technol, Rongcheng Campus, Harbin 150080, Heilongjiang, Peoples R China
基金
中国国家自然科学基金;
关键词
Online customer reviews; Rebate strategy; Consumer behavior; e-commerce; Two-period; Online shopping; WORD-OF-MOUTH; CONSUMER REVIEWS; REMANUFACTURED PRODUCTS; SALES; IMPACT; MOTIVATION; SERVICES;
D O I
10.1016/j.ijpe.2018.07.032
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
With the development of e-commerce and communication technology, consumers are heavily relying on the online customer reviews to access to more product information before making purchase decisions online. How to stimulate consumers to provide online customer reviews becomes a critical issue for the online retailers. This paper develops an analytical framework to study the online retailer's optimal rebate strategy and product pricing strategy in a two-period setting. Our analysis shows that the review effort plays a critical role in deterring the retailer's rebate decision and pricing decisions. When the review effort is small, it is efficient for the retailer to set a higher rebate value to persuade consumers to share their opinions online, and charge for a higher product price in the first period to extract more profit. We find that the Rebate strategy expands the market demand in both periods, and earns the retailer more profit. We also examine other influential factors including the unit product cost and the review impact factor.
引用
收藏
页码:99 / 107
页数:9
相关论文
共 50 条
  • [31] The Role of Emotions for the Perceived Usefulness in Online Customer Reviews
    Felbermayr, Armin
    Nanopoulos, Alexandros
    JOURNAL OF INTERACTIVE MARKETING, 2016, 36 : 60 - 76
  • [32] Emotion Analysis and Recognition of TAGLISHUANO Online Customer Reviews
    Bucag, Martin Stefanny I.
    Feliscuzo, Larmie S.
    THEORY AND PRACTICE OF COMPUTATION, 2018, : 181 - 193
  • [33] Examining customer's intention to rely on online reviews
    Sridevi, P.
    Manoraj, N.
    Vedanthachari, Lakshmi Narasimhan
    INTERNATIONAL JOURNAL OF INTERNET MARKETING AND ADVERTISING, 2022, 16 (04) : 369 - 393
  • [34] Identification of key customer requirements based on online reviews
    Li, Nailiang
    Jin, Xiao
    Li, Yupeng
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2020, 39 (03) : 3957 - 3970
  • [35] Hotel WOM Communication Based on Customer Online Reviews
    Wang Yu
    Shui Yue
    Yang Jian
    PROCEEDINGS OF THE 9TH EURO-ASIA CONFERENCE ON ENVIRONMENT AND CSR: TOURISM, SOCIETY AND EDUCATION SESSION (PT I), 2013, : 106 - 114
  • [36] Spotting Collective Behaviour of Online Frauds in Customer Reviews
    Dhawan, Sarthika
    Gangireddy, Siva Charan Reddy
    Kumar, Shiv
    Chakraborty, Tanmoy
    PROCEEDINGS OF THE TWENTY-EIGHTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2019, : 245 - 251
  • [37] Online Customer Reviews Used as Complaint Management Tool
    Maurer, Christian
    Schaich, Sabrina
    INFORMATION AND COMMUNICATION TECHNOLOGIES IN TOURISM 2011, 2011, : 499 - 511
  • [38] Analyzing Online Customer Reviews for the Hotel Classification in Vietnam
    Ha Thi Thu Nguyen
    Tuan Minh Tran
    Giang Binh Nguyen
    JOURNAL OF ASIAN FINANCE ECONOMICS AND BUSINESS, 2021, 8 (08): : 443 - 451
  • [39] An Intervention for Increasing Intention to Post Online Customer Reviews
    Yang, Seungjoo
    Kruschke, John K.
    JOURNAL OF INTERACTIVE MARKETING, 2024, 59 (04) : 400 - 414
  • [40] The influence of launching mobile channels on online customer reviews
    Kim, Jong Min
    Lee, Eunkyung
    Mariani, Marcello M.
    JOURNAL OF BUSINESS RESEARCH, 2021, 137 : 366 - 378