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Analyzing the impact of review recency on helpfulness through econometric modeling
International Journal of System Assurance Engineering and Management Pub Date : 2020-06-08 , DOI: 10.1007/s13198-020-00992-x
Abhishek Tandon , Aakash Aakash , Anu G. Aggarwal , P. K. Kapur

The eWOM helpfulness and its effect on customer buying behavior are well recognized. All previous helpfulness related studies mainly focus on the determinants of review helpfulness. However, the helpfulness of newly posted eWOM over earlier online reviews (eWOM) has not yet been studied within the context of hospitality and tourism sector. The aim of this paper is to analyze the impact of review recency on the helpfulness of that review. This study also examines the interaction of eWOM recency with eWOM text characteristics such as length, sentiment, and readability on their helpfulness. Our findings show that recently posted eWOM receives more helpful votes than those were posted earlier. Our results also support that lengthy reviews collect more helpful ratings even after becoming old. Our research adds to the social science studies related to eWOM helpfulness. Limitations and future research directions have been also discussed.



中文翻译:

通过计量经济学模型分析评论新近度对有用性的影响

eWOM的帮助及其对客户购买行为的影响已广为人知。以往所有与帮助性相关的研究都主要集中于评价帮助性的决定因素。但是,尚未在酒店和旅游业的背景下研究新发布的eWOM对早期在线评论(eWOM)的帮助。本文的目的是分析评论新近度对该评论有用性的影响。这项研究还研究了eWOM新近度与eWOM文本特征(例如长度,情感和可读性)之间的交互作用,以帮助他们。我们的发现表明,最近发布的eWOM投票比之前发布的投票更有帮助。我们的结果还支持冗长的评论即使在变老后也能收集更多有用的评分。我们的研究增加了与eWOM帮助有关的社会科学研究。还讨论了局限性和未来的研究方向。

更新日期:2020-06-08
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