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Unraveling the impact of online consumer reviews on consumer buying behavior

Author

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  • Pooja Katyal

    (United University
    United Institute of Technology)

  • Reetika Sehgal

    (Amity University Rajasthan)

Abstract

The concept of consumer reviews dates back to traditional word-of-mouth recommendations, which have always played a crucial role in consumer decision-making. However, with the advent of the internet and the rapid growth of e-commerce platforms, these reviews have moved online, becoming more accessible and influential than ever. Online Consumer Reviews (OCRs) have become a pivotal resource for consumers seeking information and advice on products and services. They offer valuable insights from experienced individuals, aiding potential buyers in making informed decisions. This transformation in consumer behavior didn’t occur overnight but is the result of a gradual evolution in digital communication, e-commerce, and consumer trust. The purpose of the present study is three-fold: to provide a comprehensive analysis of the rise and popularity of online consumer reviews, to assess the impact of OCRs on consumer buying behavior and to identify gaps and provide recommendations for future research to develop a more coherent understanding of OCRs and their impact. To conduct a comprehensive assessment of previous research work on Online Consumer Reviews (OCRs), this study adopts an extensive literature review approach. Based on the extensive literature review, a conceptual framework is developed. This framework aims to categorize and explain three broad factors of OCRs- Online review credibility, source credibility and platform credibility that influence consumer purchase decisions. The framework serves as a tool for researchers to understand the triggers that result in OCRs impacting consumer behavior. Thus, the novel contribution of this study lies in its comprehensive aggregation and presentation of the most pertinent information on OCRs, offering a clear depiction of the current state of literature. This foundation facilitates the identification of future research opportunities, aiming to propel the field forward. Thus, it can be concluded that online consumer reviews have been revolutionized and play a major role in the decision to purchase products.

Suggested Citation

  • Pooja Katyal & Reetika Sehgal, 2025. "Unraveling the impact of online consumer reviews on consumer buying behavior," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 16(1), pages 330-345, January.
  • Handle: RePEc:spr:ijsaem:v:16:y:2025:i:1:d:10.1007_s13198-024-02618-y
    DOI: 10.1007/s13198-024-02618-y
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    References listed on IDEAS

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    1. Y. Shi & S. Fernandes & R. Panda & V.G. Venkatesh & B.N. Swar, 2022. "Measuring the Impact of Online Reviews on Consumer Purchase Decisions \textendash A Scale Development Study," Post-Print hal-04452847, HAL.
    2. Kim, Jong Min & Lee, Eunkyung & Mariani, Marcello M., 2021. "The influence of launching mobile channels on online customer reviews," Journal of Business Research, Elsevier, vol. 137(C), pages 366-378.
    3. Weijia (Daisy) Dai & Ginger Jin & Jungmin Lee & Michael Luca, 2018. "Aggregation of consumer ratings: an application to Yelp.com," Quantitative Marketing and Economics (QME), Springer, vol. 16(3), pages 289-339, September.
    4. Zheng, Lili, 2021. "The classification of online consumer reviews: A systematic literature review and integrative framework," Journal of Business Research, Elsevier, vol. 135(C), pages 226-251.
    5. Chen, Yubo & Fay, Scott & Wang, Qi, 2011. "The Role of Marketing in Social Media: How Online Consumer Reviews Evolve," Journal of Interactive Marketing, Elsevier, vol. 25(2), pages 85-94.
    6. Reetika Sehgal & Prateek Khanna & Mayank Malviya & Ashish Mohan Dubey, 2023. "Shopping Safety Practices Mutate Consumer Buying Behaviour during COVID-19 Pandemic," Vision, , vol. 27(5), pages 604-615, November.
    7. R. Filieri & Fraser Mcleay & Bruce Tsui & Zhibin Lin, 2018. "Consumer perceptions of information helpfulness and determinants of purchase intention in online consumer reviews of services," Post-Print hal-04779103, HAL.
    8. Guo, Junpeng & Wang, Xiaopan & Wu, Yi, 2020. "Positive emotion bias: Role of emotional content from online customer reviews in purchase decisions," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    9. Román, Sergio & Riquelme, Isabel P. & Iacobucci, Dawn, 2023. "Fake or credible? Antecedents and consequences of perceived credibility in exaggerated online reviews," Journal of Business Research, Elsevier, vol. 156(C).
    10. Petty, Richard E & Cacioppo, John T & Schumann, David, 1983. "Central and Peripheral Routes to Advertising Effectiveness: The Moderating Role of Involvement," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 10(2), pages 135-146, September.
    11. Affifa Sardar & Amir Manzoor & Khurram Adeel Shaikh & Liaqat Ali, 2021. "An Empirical Examination of the Impact of eWom Information on Young Consumers’ Online Purchase Intention: Mediating Role of eWom Information Adoption," SAGE Open, , vol. 11(4), pages 21582440211, October.
    12. Zhuang, Mengzhou & Cui, Geng & Peng, Ling, 2018. "Manufactured opinions: The effect of manipulating online product reviews," Journal of Business Research, Elsevier, vol. 87(C), pages 24-35.
    13. Reema Nofal & Pelin Bayram & Okechukwu Lawrence Emeagwali & Lu’ay Al-Mu’ani, 2022. "The Effect of eWOM Source on Purchase Intention: The Moderation Role of Weak-Tie eWOM," Sustainability, MDPI, vol. 14(16), pages 1-20, August.
    14. Gulfraz, Muhammad Bilal & Sufyan, Muhammad & Mustak, Mekhail & Salminen, Joni & Srivastava, Deepak Kumar, 2022. "Understanding the impact of online customers’ shopping experience on online impulsive buying: A study on two leading E-commerce platforms," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    15. Dellarocas, Chrysanthos, 2003. "The Digitization of Word-of-mouth: Promise and Challenges of Online Feedback Mechanisms," Working papers 4296-03, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    16. Alantari, Huwail J. & Currim, Imran S. & Deng, Yiting & Singh, Sameer, 2022. "An empirical comparison of machine learning methods for text-based sentiment analysis of online consumer reviews," International Journal of Research in Marketing, Elsevier, vol. 39(1), pages 1-19.
    17. R. Filieri & F. Acikgoz & D. Hao, 2023. "Electronic word-of-mouth from video bloggers: The role of content quality and source homophily across hedonic and utilitarian products," Post-Print hal-04713695, HAL.
    18. Thakur, Rakhi, 2018. "Customer engagement and online reviews," Journal of Retailing and Consumer Services, Elsevier, vol. 41(C), pages 48-59.
    19. Fang, Bin & Ye, Qiang & Kucukusta, Deniz & Law, Rob, 2016. "Analysis of the perceived value of online tourism reviews: Influence of readability and reviewer characteristics," Tourism Management, Elsevier, vol. 52(C), pages 498-506.
    20. Srivastava, Vartika & Kalro, Arti D., 2019. "Enhancing the Helpfulness of Online Consumer Reviews: The Role of Latent (Content) Factors," Journal of Interactive Marketing, Elsevier, vol. 48(C), pages 33-50.
    21. Fernandes, Semila & Panda, Rajesh & Venkatesh, V.G. & Swar, Biranchi Narayan & Shi, Yangyan, 2022. "Measuring the impact of online reviews on consumer purchase decisions – A scale development study," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    22. Chrysanthos Dellarocas, 2003. "The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms," Management Science, INFORMS, vol. 49(10), pages 1407-1424, October.
    23. Yubo Chen & Jinhong Xie, 2008. "Online Consumer Review: Word-of-Mouth as a New Element of Marketing Communication Mix," Management Science, INFORMS, vol. 54(3), pages 477-491, March.
    24. Chris Forman & Anindya Ghose & Batia Wiesenfeld, 2008. "Examining the Relationship Between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets," Information Systems Research, INFORMS, vol. 19(3), pages 291-313, September.
    25. Xu, Xun & Lee, Chieh, 2020. "Utilizing the platform economy effect through EWOM: Does the platform matter?," International Journal of Production Economics, Elsevier, vol. 227(C).
    26. Filieri, Raffaele, 2015. "What makes online reviews helpful? A diagnosticity-adoption framework to explain informational and normative influences in e-WOM," Journal of Business Research, Elsevier, vol. 68(6), pages 1261-1270.
    27. Langan, Ryan & Besharat, Ali & Varki, Sajeev, 2017. "The effect of review valence and variance on product evaluations: An examination of intrinsic and extrinsic cues," International Journal of Research in Marketing, Elsevier, vol. 34(2), pages 414-429.
    28. Lutz, Bernhard & Pröllochs, Nicolas & Neumann, Dirk, 2022. "Are longer reviews always more helpful? Disentangling the interplay between review length and line of argumentation," Journal of Business Research, Elsevier, vol. 144(C), pages 888-901.
    29. Filieri, Raffaele, 2016. "What makes an online consumer review trustworthy?," Annals of Tourism Research, Elsevier, vol. 58(C), pages 46-64.
    30. Zhang, Jason Q. & Craciun, Georgiana & Shin, Dongwoo, 2010. "When does electronic word-of-mouth matter? A study of consumer product reviews," Journal of Business Research, Elsevier, vol. 63(12), pages 1336-1341, December.
    31. Cui, Xiling & Zhu, Zhongshan & Liu, Libo & Zhou, Qiang & Liu, Qiang, 2024. "Anomaly detection in consumer review analytics for idea generation in product innovation: Comparing machine learning and deep learning techniques," Technovation, Elsevier, vol. 134(C).
    32. Mostafa Torabi & Charles H. Bélanger, 2022. "Influence of social media and online reviews on university students' purchasing decisions," International Journal of Internet Marketing and Advertising, Inderscience Enterprises Ltd, vol. 16(1/2), pages 98-119.
    33. Purnawirawan, Nathalia & De Pelsmacker, Patrick & Dens, Nathalie, 2012. "Balance and Sequence in Online Reviews: How Perceived Usefulness Affects Attitudes and Intentions," Journal of Interactive Marketing, Elsevier, vol. 26(4), pages 244-255.
    34. Filieri, Raffaele & Acikgoz, Fulya & Du, Hao, 2023. "Electronic word-of-mouth from video bloggers: The role of content quality and source homophily across hedonic and utilitarian products," Journal of Business Research, Elsevier, vol. 160(C).
    35. Park, Sangwon & Nicolau, Juan L., 2015. "Asymmetric effects of online consumer reviews," Annals of Tourism Research, Elsevier, vol. 50(C), pages 67-83.
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