Automated Hotel Booking and Cancellation Web-Based Application: A Prototype

Michael G. Albino, Cyrel B. Alvarez, Shermaine B. Murillo, Aubrey Jaye S. Tuzon, Kris Danica P. Paña
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Abstract

The purpose of this study is to provide new insights into the factors that influence cancellation behaviour with respect to hotel bookings. Cancellations of bookings are one of the most common concerns in the hotel sector. Before the specified arrival date, the client would cancel their reservation. The cancellation has had a major impact on hotel operations as well. The researchers developed a prototype system called Automated Hotel Booking Cancellation that can assist a hotel in better anticipating consumer cancellations and booking transactions. The researchers utilized a survey questionnaire following the ISO 25010 Software Quality Standard to assess the system's usefulness, functionality, accuracy, security, reliability, and maintainability. The results show "strongly agree" in all the domains with an overall mean = 3.46. IT Experts and respondents evaluated the proposed prototype and gained a "Strongly Agree" rating in all the domains under the survey. The domain on the usefulness of the system gained the highest mean = 3.89 with an interpretation of "strongly agree," and the lowest was the domain of security with a mean = 3.15 or "strongly agree," which ranked 6 in summary. The researchers concluded based on the findings that the developed prototype web-based system was useful and functional to the needs of the target users/beneficiaries. The user interface of the web-based system was user-friendly, representing an object-oriented user interface for the users. An improvement recommended on the cancellation to automatically predict cancellations that can be incorporated into the system using Machine Learning Algorithms to ease the process of cancellation were recommended for future researchers who want to pursue advanced studies about the topic.
基于web的自动酒店预订和取消应用程序:原型
本研究的目的是为影响酒店预订取消行为的因素提供新的见解。取消预订是酒店行业最常见的问题之一。在指定的到达日期之前,客户将取消他们的预订。这一取消也对酒店的运营产生了重大影响。研究人员开发了一个名为“酒店预订自动取消”的原型系统,它可以帮助酒店更好地预测消费者取消预订和预订交易。研究人员根据ISO 25010软件质量标准使用调查问卷来评估系统的有用性、功能、准确性、安全性、可靠性和可维护性。结果显示,在所有领域“非常同意”,总体平均值= 3.46。IT专家和受访者对提议的原型进行了评估,并在调查的所有领域中获得了“非常同意”的评级。在系统的有用性领域获得了最高的平均值= 3.89,解释为“非常同意”,最低的是安全领域,平均值= 3.15或“非常同意”,在总结中排名第6。研究人员根据研究结果得出结论,开发的基于网络的原型系统对目标用户/受益者的需求是有用的和功能性的。基于web的系统的用户界面是用户友好的,代表了面向对象的用户界面。建议对取消进行改进,以自动预测取消,可以使用机器学习算法将其纳入系统,以简化取消过程,供未来想要对该主题进行高级研究的研究人员使用。
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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