Understanding Issue of Online Consumer Reviews (OCR): Three Theoretical Perspectives
DOI:
https://doi.org/10.14738/abr.1111.15871Keywords:
Online Consumer Reviews, Word of Mouth, Consumer Socialization Theory, Psychosocial Distance, Information Acceptance ModelAbstract
Online Consumer Reviews (OCRs) or Electronic word-of-mouth (eWOM) are important for customers and businesses. For customers, OCRs help them to make purchase decisions. For businesses, it is a direct way to understand customers. In this study, we provide the definition of OCRs and review the OCRs studies in pass few years. We found three theories are useful to understand OCRs, namely, Consumer Socialization Theory (CST), Psychosocial Distance (PD), and Information Acceptance Model (IAM). We also review the studies and identify key constructs of OCRs studies and sumerzried a table that contain major OCRs studies. Research questions that are important to OCRs studies are listed. Finally we found the limitations of the current OCRs studies.
References
Bilal, M., Jianqiu, Z., Dukhaykh, S., Fan, M., & Trunk, A. (2021). Understanding the effects of eWOM antecedents on online purchase intention in China. Information, 12(5), 192.
Chen, M. J., & Farn, C. K. (2020). Examining the influence of emotional expressions in online consumer reviews on perceived helpfulness. Information Processing & Management, 57(6), 102266.
Erkan, I., & Evans, C. (2016). The influence of eWOM in social media on consumers’ purchase intentions: An extended approach to information adoption. Computers in human behavior, 61, 47-55.
Eslami, S. P., Ghasemaghaei, M., & Hassanein, K. (2018). Which online reviews do consumers find most helpful? A multi-method investigation. Decision Support Systems, 113, 32-42.
Güler, Y. C., & Huseynov, F. (2021). The Impact of online consumer reviews on online hotel booking intention. İşletme Araştırmaları Dergisi, 13(3), 2634-2652.
Guo, J., Wang, X., & Wu, Y. (2020). Positive emotion bias: Role of emotional content from online customer reviews in purchase decisions. Journal of Retailing and Consumer Services, 52, 101891.
Harrigan, M., Feddema, K., Wang, S., Harrigan, P., & Diot, E. (2021). How trust leads to online purchase intention founded in perceived usefulness and peer communication. Journal of Consumer Behaviour, 20(5), 1297-1312.
Hernández-Ortega, B. (2018). Don’t believe strangers: Online consumer reviews and the role of social psychological distance. Information & Management, 55(1), 31-50.
Herrando, C., Jiménez-Martínez, J., Martín-De Hoyos, M. J., & Constantinides, E. (2022). Emotional contagion triggered by online consumer reviews: Evidence from a neuroscience study. Journal of Reta iling and Consumer Services, 67, 102973.
Huifeng, P., Ha, H. Y., & Lee, J. W. (2020). Perceived risks and restaurant visit intentions in China: Do online customer reviews matter? Journal of Hospitality and Tourism Management, 43, 179-189.
Ismagilova, E., Slade, E. L., Rana, N. P., & Dwivedi, Y. K. (2020). The effect of electronic word of mouth communications on intention to buy: A meta-analysis. Information Systems Frontiers, 22, 1203-1226.
Jang, S., Chung, J., & Rao, V. R. (2021). The importance of functional and emotional content in online consumer reviews for product sales: Evidence from the mobile gaming market. Journal of Business Research, 130, 583-593.
Leong, C. M., Loi, A. M. W., & Woon, S. (2021). The influence of social media eWOM information on purchase intention. Journal of Marketing Analytics, 1-13.
Lin, C. A., & Xu, X. (2017). Effectiveness of online consumer reviews: The influence of valence, reviewer ethnicity, social distance and source trustworthiness. Internet Research, 27(2), 362-380.
Lucini, F. R., Tonetto, L. M., Fogliatto, F. S., & Anzanello, M. J. (2020). Text mining approach to explore dimensions of airline consumer satisfaction using online consumer reviews. Journal of Air Transport Management, 83, 101760.
Luo, Y., & Xu, X. (2021). Comparative study of deep learning models for analyzing online restaurant reviews in the era of the COVID-19 pandemic. International Journal of Hospitality Management, 94, 102849.
Majumder, M. G., Gupta, S. D., & Paul, J. (2022). Perceived usefulness of online consumer reviews: A review mining approach using machine learning & exploratory data analysis. Journal of Business Research, 150, 147-164.
Moloi, M., Quaye, E. S., & Saini, Y. K. (2022). Evaluating key antecedents and consequences of the perceived helpfulness of online consumer reviews: A South African study. Electronic Commerce Research and Applications, 54, 101172.
Moschis, G. P., & Churchill Jr, G. A. (1978). Consumer socialization: A theoretical and empirical analysis. Journal of marketing research, 15(4), 599-609.
Reyes-Menendez, A., Correia, M. B., Matos, N., & Adap, C. (2020). Understanding online consumer behavior and eWOM strategies for sustainable business management in the tourism industry. Sustainability, 12(21), 8972.
Sheng, J. (2019). Being active in online communications: Firm responsiveness and consumer engagement behaviour. Journal of Interactive Marketing, 46(1), 40-51.
Shi, X., & Liao, Z. (2017). Online consumer review and group-buying participation: The mediating effects of consumer beliefs. Telematics and Informatics, 34(5), 605-617.
Stouthuysen, K., Teunis, I., Reusen, E., & Slabbinck, H. (2018). Initial trust and intentions to buy: The effect of vendor-specific guarantees, customer reviews and the role of online shopping experience☆. Electronic Commerce Research and Applications, 27, 23-38.
Sun, Q., Niu, J., Yao, Z., & Yan, H. (2019). Exploring eWOM in online consumer reviews: Sentiment analysis at a fine-grained level. Engineering Applications of Artificial Intelligence, 81, 68-78.
Tran, G. A., & Strutton, D. (2020). Comparing email and SNS users: Investigating e-servicescape, consumer reviews, trust, loyalty and E-WOM. Journal of Retailing and Consumer Services, 53, 101782.
Tsai, C. F., Chen, K., Hu, Y. H., & Chen, W. K. (2020). Improving text summarization of online hotel reviews with review helpfulness and sentiment. Tourism Management, 80, 104122.
Ventre, I., & Kolbe, D. (2020). The impact of perceived usefulness of online reviews, trust and perceived risk on online purchase intention in emerging markets: A Mexican perspective. Journal of International Consumer Marketing, 32(4), 287-299.
Wang, Q., Zhang, W., Li, J., Mai, F., & Ma, Z. (2022). Effect of online review sentiment on product sales: The moderating role of review credibility perception. Computers in Human Behavior, 133, 107272.
Ward, S. (1974). Consumer socialization. Journal of consumer research, 1(2), 1-14.
Xiao, L., Guo, F., Yu, F., & Liu, S. (2019). The effects of online shopping context cues on consumers’ purchase intention for cross-border E-Commerce sustainability. Sustainability, 11(10), 2777.
Xu, X. (2020). Examining the role of emotion in online consumer reviews of various attributes in the surprise box shopping model. Decision Support Systems, 136, 113344.
Yaseen, S., & Jusoh, N. (2021). THE INFLUENCE OF ELECTRONIC WORD OF MOUTH IN SOCIAL MEDIA ON CONSUMERS'PURCHASING INTENTIONS IN JORDAN. Ilkogretim Online, 20(4).
Zhao, Y., Wang, L., Tang, H., & Zhang, Y. (2020). Electronic word-of-mouth and consumer purchase intentions in social e-commerce. Electronic Commerce Research and Applications, 41, 100980.
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