A Study on the Influence of Linguistic Styles of Reviews on Sales Performance in Second-Hand Transactions
- DOI
- 10.2991/978-2-38476-126-5_114How to use a DOI?
- Keywords
- second-hand transaction; review; linguistic style; sales performance
- Abstract
With the change of people’s consumption philosophy, second-hand consumption has become more and more popular. However, how to solve the information asymmetry between buyers and sellers in the second-hand market has become a key concern for second-hand platforms. Reviews play an important role in consumer decision, and the linguistic styles reflected in reviews have different persuasive effects on users. This study explores the relationship between reviews and sales performance from the perspective of review linguistic style based on a second-hand book platform, using text mining methods to process unstructured review texts and multiple linear regression for empirical analysis. Conclusions are both specific and intimate styles are positively related with sales volume, while intimate style is also positively related with sales speed.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yini Liu AU - Hao Zhang PY - 2023 DA - 2023/10/31 TI - A Study on the Influence of Linguistic Styles of Reviews on Sales Performance in Second-Hand Transactions BT - Proceedings of the 2023 7th International Seminar on Education, Management and Social Sciences (ISEMSS 2023) PB - Atlantis Press SP - 1028 EP - 1036 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-126-5_114 DO - 10.2991/978-2-38476-126-5_114 ID - Liu2023 ER -