The Relationship Between Emotional Value, Utility Value, and Product Sales—An Empirical Analysis Based on Amazon Electronics Review Data

Jiaran Liu

doi:10.54254/2754-1169/2026.BJ30721

Article Information

Received: 13 December 2025

Published: 18 December 2025

DOI: https://doi.org/10.54254/2754-1169/2026.BJ30721

Article Type: Research Article

Cite this article

Liu,J. (2025). The Relationship Between Emotional Value, Utility Value, and Product Sales—An Empirical Analysis Based on Amazon Electronics Review Data. Advances in Economics, Management and Political Sciences,243,149-153.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About this Volume

Volume Title: AEMPS Vol.243

Part of Series: Advances in Economics, Management and Political Sciences

ISSN: 2754-1169 (Print) / 2754-1177 (Online)

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[1]Chevalier, J. A., & Mayzlin, D. (2006). The effect of word of mouth on sales: Online book reviews. Journal of Marketing Research, 43(3), 345-354.

[2]Liu, Y. (2006). Word of mouth for movies: Its dynamics and impact on box office revenue. Journal of Marketing, 70(3), 74-89.

[3]López-López, I., & Parra, J. F. (2023). The impact of online reviews on consumer purchasing decisions: A meta-analysis of 15 years of research. Journal of Retailing and Consumer Services, 70, 103-115.

[4]King, R. A., Racherla, P., & Bush, V. D. (2014). What we know and don't know about online word-of-mouth: A review and synthesis of the literature. Journal of Interactive Marketing, 28(3), 167-183.

[5]Archak, N., Ghose, A., & Ipeirotis, P. G. (2011). Deriving the pricing power of product features by mining consumer reviews. Management Science, 57(8), 1485-1509.

[6]Ghose, A., & Ipeirotis, P. G. (2011). Estimating the helpfulness and economic impact of product reviews: Mining text and reviewer characteristics. IEEE Transactions on Knowledge and Data Engineering, 23(10), 1498-1512.

[7]Tirunillai, S., & Tellis, G. J. (2014). Mining marketing meaning from online chatter: Strategic brand analysis of big data using latent dirichlet allocation. Journal of Marketing Research, 51(4), 463-479.

[8]Goh, K. Y., Heng, C. S., & Lin, Z. (2013). Social media brand community and consumer behavior: Quantifying the relative impact of user- and marketer-generated content. Information Systems Research, 24(1), 88-107.

[9]Forman, C., Ghose, A., & Wiesenfeld, B. (2008). Examining the relationship between reviews and sales: The role of reviewer identity disclosure in electronic markets. Information Systems Research, 19(3), 291-313.

[10]Cheng, X., & Zhou, M. (2019). The effects of online reviews on purchase intention: A comparative study between the United States and China. International Journal of Electronic Commerce, 23(4), 454-478.

[11]Duan, W., Gu, B., & Whinston, A. B. (2008). The dynamics of online word-of-mouth and product sales—An empirical investigation of the movie industry. Journal of Retailing, 84(2), 233-242.

[12]Pavlou, P. A., & Dimoka, A. (2006). The nature and role of feedback text comments in online marketplaces: Implications for trust building, price premiums, and seller differentiation. Information Systems Research, 17(4), 392-414.

[13]Li, X., & Hitt, L. M. (2008). Self-selection and information role of online product reviews. Information Systems Research, 19(4), 456-474.

[14]Baek, H., Ahn, J., & Choi, Y. (2012). Helpfulness of online consumer reviews: Readers' objectives and review cues. International Journal of Electronic Commerce, 17(2), 99-126.