Injecting new insights: How do review sentiment and rating inconsistency shape the helpfulness of airline reviews?

IF 7.4 1区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Information Processing & Management Pub Date : 2025-02-07 DOI:10.1016/j.ipm.2025.104088

Yang Liu , Lihua Ma , Yue Dou , Zhen Zhu , Lili Ma , Zhuoxin Liu

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引用次数: 0

Abstract

Evaluating review helpfulness is pivotal in assessing the caliber of airline reviews, instigating lively debates in both academic and practical spheres. This study endeavors to construct a comprehensive conceptual framework grounded in signaling theory, recognizing two factors as indicators shaping the perceived helpfulness of reviews. Empirical analysis was conducted using 82,539 reviews from nine airlines on TripAdvisor. Initially, the study scrutinizes the combined impact of review sentiment and consumer rating, followed by exploring the influence of review inconsistency on review helpfulness. Our experimental results show that most variables achieved a significance of one thousandth. Additionally, we shed light on the moderating effects of several heuristic clues in the model, including text length, seat class, and region. These findings underscore those heuristic clues that collectively influence the helpfulness of reviews. The outcomes of this research can aid airlines in identifying the most helpful reviews, thereby mitigating consumer search costs and empowering reviewers to contribute more valuable insights.

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来源期刊

Information Processing & Management 工程技术-计算机：信息系统

CiteScore

17.00

自引率

11.60%

发文量

276

审稿时长

39 days

期刊介绍： Information Processing and Management is dedicated to publishing cutting-edge original research at the convergence of computing and information science. Our scope encompasses theory, methods, and applications across various domains, including advertising, business, health, information science, information technology marketing, and social computing. We aim to cater to the interests of both primary researchers and practitioners by offering an effective platform for the timely dissemination of advanced and topical issues in this interdisciplinary field. The journal places particular emphasis on original research articles, research survey articles, research method articles, and articles addressing critical applications of research. Join us in advancing knowledge and innovation at the intersection of computing and information science.