Analyzing the impact of review recency on helpfulness through econometric modeling

Abstract

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.

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Correspondence to Aakash Aakash.

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Tandon, A., Aakash, A., Aggarwal, A.G. et al. Analyzing the impact of review recency on helpfulness through econometric modeling. Int J Syst Assur Eng Manag 12, 104–111 (2021). https://doi.org/10.1007/s13198-020-00992-x

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Keywords

  • eWOM
  • Recency
  • Readability
  • Sentiment
  • Helpfulness
  • Online reviews