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
  • [21] Online customer reviews and consumer evaluation: The role of review font
    Huang, Yunhui
    Li, Changxin
    Wu, Jiang
    Lin, Zhijie
    INFORMATION & MANAGEMENT, 2018, 55 (04) : 430 - 440
  • [22] HANDLING NEGATIVE ONLINE CUSTOMER REVIEWS: THE EFFECTS OF ELABORATION LIKELIHOOD MODEL AND DISTRIBUTIVE JUSTICE
    Cheng, Vincent T. P.
    Loi, Mei Kun
    JOURNAL OF TRAVEL & TOURISM MARKETING, 2014, 31 (01) : 1 - 15
  • [23] Leveraging Online Customer Reviews to Boost Business Performance and Efficiency
    Faizi, Rdouan
    El Fkihi, Sanaa
    VISION 2025: EDUCATION EXCELLENCE AND MANAGEMENT OF INNOVATIONS THROUGH SUSTAINABLE ECONOMIC COMPETITIVE ADVANTAGE, 2019, : 6604 - 6609
  • [24] An exploratory study of business-to-business online customer reviews: external online professional communities and internal vendor scorecards
    Steward, Michelle D.
    Narus, James A.
    Roehm, Michelle L.
    JOURNAL OF THE ACADEMY OF MARKETING SCIENCE, 2018, 46 (02) : 173 - 189
  • [25] Perceived derived attributes of online customer reviews
    Elwalda, Abdulaziz
    Lue, Kevin
    Ali, Maged
    COMPUTERS IN HUMAN BEHAVIOR, 2016, 56 : 306 - 319
  • [26] Customer Motivation and Response Bias in Online Reviews
    Han, Saram
    Anderson, Chris K.
    CORNELL HOSPITALITY QUARTERLY, 2020, 61 (02) : 142 - 153
  • [27] The Value of Online Customer Reviews
    Askalidis, Georgios
    Malthouse, Edward C.
    PROCEEDINGS OF THE 10TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS'16), 2016, : 155 - 158
  • [28] Customer knowledge discovery from online reviews
    You, Weijia
    Xia, Mu
    Liu, Lu
    Liu, Dan
    ELECTRONIC MARKETS, 2012, 22 (03) : 131 - 142
  • [29] Customer engagement and online reviews
    Thakur, Rakhi
    JOURNAL OF RETAILING AND CONSUMER SERVICES, 2018, 41 : 48 - 59
  • [30] The Effects of Positive and Negative Online Customer Reviews: Do Brand Strength and Category Maturity Matter?
    Ho-Dac, Nga N.
    Carson, Stephen J.
    Moore, William L.
    JOURNAL OF MARKETING, 2013, 77 (06) : 37 - 53