Preparing for Pandemics: Reflecting on the Impact of Strategic Elements in the COVID-19 Influenced Online Travel Agencies' Marketing Mix

Rifa F. Darmawan, John R. Baker
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Abstract

The landscape of online hotel booking, particularly through online travel agencies (OTAs), witnessed a transformation during the COVID-19 pandemic. This shift triggered intense competition among OTA marketers. Interestingly, amidst this competitive environment, while causal predictive models exist that focus on moderate to high effects of major features on Price and hotel BI, the strategic impact of minor features has largely been overlooked. To address this gap, a frequency analysis involving a comprehensive sample of 63 OTAs identified four minor features. Subsequently, a partial least squares structural equation modeling approach explored 499 consumers’ perceptions. Two features were shown to be significant (COVID-19 Hygiene Label, Price Discount), with COVID-19 Hygiene Label mediating Price. However, Scarcity and Loyalty Program showed no direct or mediating effects. The model accounted for a strategic 29.8% R2. As COVID-19 is an ongoing recurring issue and preparation for future pandemics is prudent, the results provide valuable insights for OTA app developers aiming to gain additional predictive marginal performance advantages (i.e., .10 or greater). Implications and suggestions for future research are also offered.
为大流行病做好准备:反思受 COVID-19 影响的在线旅行社营销组合中战略要素的影响
在线酒店预订,尤其是通过在线旅行社(OTA)进行预订的情况在 COVID-19 大流行期间发生了转变。这一转变引发了 OTA 营销人员之间的激烈竞争。有趣的是,在这种竞争环境中,虽然存在一些因果预测模型,这些模型侧重于主要特征对价格和酒店 BI 的中高影响,但次要特征的战略影响却在很大程度上被忽视了。为了填补这一空白,我们对 63 家 OTA 进行了频率分析,确定了四种次要特征。随后,采用偏最小二乘法结构方程建模方法探讨了 499 位消费者的看法。结果表明,有两个特征具有显著性(COVID-19 卫生标签、价格折扣),其中 COVID-19 卫生标签对价格具有中介作用。然而,"稀缺性 "和 "忠诚度计划 "没有显示出直接或中介效应。该模型的 R2 为 29.8%。由于 COVID-19 是一个持续反复出现的问题,为未来的流行病做好准备是谨慎之举,因此研究结果为旨在获得更多边际性能预测优势(即 0.10 或更高)的 OTA 应用程序开发人员提供了有价值的见解。此外,还提出了未来研究的意义和建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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