A new theoretical model for online customer review intention

被引:0
作者
Chatterjee, Sheshadri [1 ]
Chaudhuri, Ranjan [2 ]
Vrontis, Demetris [3 ]
Kastanakis, Minas [4 ]
机构
[1] Indian Inst Technol Kharagpur, Dept Comp Sci & Engn, Kharagpur, India
[2] Indian Inst Management Ranchi, Dept Mkt, Ranchi, India
[3] Univ Nicosia, Sch Business, Nicosia, Cyprus
[4] ESCP Business Sch London, Dept Mkt, Hampstead, London, England
关键词
Individualism; OCR; International consumer; Peer influence; Review ratings; Social norm; Internet usage; WORD-OF-MOUTH; IMPACT; PERFORMANCE; ENGAGEMENT; STRATEGIES; PRINCIPLE; CONGRUITY; INTERNET; EWOM; SEM;
D O I
10.1108/JGR-07-2022-0070
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
PurposeThis study aims to investigate the insights on how international customer behavior is impacted toward online customer review (OCR) by the mediating effects of social and personal norms in the varied cultural context. The study also investigates how support of peer influence could moderate the effect of OCR. Design/methodology/approachThis study has used socialization theory, congruity theory and theory of planned behavior along with studies of different literature to develop a conceptual model. The conceptual model has been validated using PLS-SEM analysis with survey considering 306 usable respondents. The mediating effects and moderating impacts have been analyzed by mediating analysis process (process tool) and multi group analysis, respectively. FindingsThe results of the model, with 62% explanative power, highlight that social norm acts as a strong mediating variable to impact OCR intention while peer influence acts as a vital moderator to impact OCR intention. Research limitations/implicationsThe theoretical model provides a solid foundation to future researchers for further study in this field. This study also provides the practitioners a unique opportunity towards understanding customer motivation for OCR intention. Accordingly, practitioners could bring some transformational changes in their organizations for getting better reviews from the customers. Originality/valueThis study develops a unique theoretical model with high explanative power. Very few studies have ventured in this field. This study has added value to the body of literature on consumer behavior as well as individualism. Furthermore, this study has developed some of the novel relationships between different factors such as individualism, peer influence, international consumers, social norm and so on in the context of OCR which is one of the unique contributions of this study.
引用
收藏
页码:254 / 272
页数:19
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] The role of customer experience in the effect of online flow state on customer loyalty
    Ertemel, Adnan Veysel
    Civelek, Mustafa Emre
    Pektas, Guzide Oncu Eroglu
    Cemberci, Murat
    PLOS ONE, 2021, 16 (07):
  • [23] Delight the experts, but never dissatisfy your customers! A multi-category study on the effects of online review source on intention to buy a new product
    Plotkina, Dania
    Munzel, Andreas
    JOURNAL OF RETAILING AND CONSUMER SERVICES, 2016, 29 : 1 - 11
  • [24] Modeling customer satisfaction and revisit intention from online restaurant reviews: an attribute-level analysis
    Zhao, Futao
    Liu, Hao
    INDUSTRIAL MANAGEMENT & DATA SYSTEMS, 2023, 123 (05) : 1548 - 1568
  • [25] The impact of online reviews on destination trust and travel intention: The moderating role of online review trustworthiness
    Su, Lujun
    Yang, Qingyue
    Swanson, Scott R.
    Chen, Ning Chris
    JOURNAL OF VACATION MARKETING, 2022, 28 (04) : 406 - 423
  • [26] Customer satisfaction and loyalty with online consumer reviews: Factors affecting revisit intentions
    Camilleri, Mark Anthony
    Filieri, Raffaele
    INTERNATIONAL JOURNAL OF HOSPITALITY MANAGEMENT, 2023, 114
  • [27] An Investigation of Peripheral and Central Cues of Online Customer Review Voting and Helpfulness through the Lens of Elaboration Likelihood Model
    Mousavizadeh, Mohammadreza
    Koohikamali, Mehrdad
    Salehan, Mohammad
    Kim, Dam J.
    INFORMATION SYSTEMS FRONTIERS, 2022, 24 (01) : 211 - 231
  • [28] Development of methodology for classification of user experience (UX) in online customer review
    Son, Youngdoo
    Kim, Wonjoon
    JOURNAL OF RETAILING AND CONSUMER SERVICES, 2023, 71
  • [29] Classification of Customer Satisfaction Attributes: An Application of Online Hotel Review Analysis
    Dong, Jian
    Li, Hongxiu
    Zhang, Xianfeng
    DIGITAL SERVICES AND INFORMATION INTELLIGENCE, 2014, 445 : 238 - 250
  • [30] Exploring online customer experience: A systematic literature review and research agenda
    Kacprzak, Agnieszka
    Hensel, Przemyslaw
    INTERNATIONAL JOURNAL OF CONSUMER STUDIES, 2023, 47 (06) : 2583 - 2608