Purpose

The new coronavirus is a highly infectious disease with mutating variants leading to pervasive risk around geographies and public health system. The economy has been suffering due to the strategic lockdown adopted by the local administrative bodies, and in most of the countries, it is further leading to a major wave of unemployment with millions of job and business losses affecting the hotels, travel and tourism industry widely. To attain a sustainable business in the post-pandemic situations, the industry now must think of information system approaches to convince tourists to feel safe with the most hygienic hospitality and services to be offered in any property. The key aspect of the study is to provide the impact of new-age AI-driven technology solutions that will dominate the future direction of the modernized hospitality industry promising robust health-safety measures in a hotel, and further help create sustainable business and leisure travel facilities to cope with post-epidemic scenarios.

Design/methodology/approach

The study emphasizes to provide a robust technology-oriented framework based on a mixed research method that would help hotels to adopt and implement new-age AI-driven solution within the hotel premise to serve customers with at most hygiene, contactless service and thereafter, aiming for faster recovery of businesses and regaining customer trust to fuel booking intent in the post-epidemic scenario.

Findings

The paper provides a technology-focused solution that would impact hotel industries' post-pandemic scenario. The study contributes to helping boost the tourism industry using information management solutions such as biosensors, robotic room services and contactless hosting. The findings show the adoption of robots/RPA solutions and Biosensors by the industry will be a disruptive paradigm shift.

Originality/value

The study expands the scope of research in information technology and management with a focus on the hospitality industry while contributing to new factors impacting customer buying behavior in the industry.

中文翻译：

---

影响顾客对酒店或休闲场所预订意向的疫情后因素：实证研究

目的

新型冠状病毒是一种具有高度传染性的疾病，其变异变异导致地理和公共卫生系统普遍存在风险。由于地方行政机构采取的战略性封锁措施，经济一直受到影响，并且在大多数国家，这进一步导致大量失业浪潮，数以百万计的工作和商业损失广泛影响着酒店、旅游业和旅游业. 为了在大流行后的情况下实现可持续的业务，该行业现在必须考虑信息系统方法，以说服游客在任何财产中提供最卫生的款待和服务感到安全。

设计/方法/方法

该研究强调提供一个基于混合研究方法的强大的技术导向框架，帮助酒店在酒店场所内采用和实施新时代的人工智能驱动解决方案，为客户提供最卫生、非接触式的服务，旨在以加快业务恢复并重新获得客户信任，从而在疫情后的情况下激发预订意图。

发现

该论文提供了一种以技术为中心的解决方案，该解决方案将影响酒店行业的大流行后情景。该研究有助于利用生物传感器、机器人客房服务和非接触式托管等信息管理解决方案促进旅游业的发展。研究结果表明，行业采用机器人/RPA 解决方案和生物传感器将是一种颠覆性的范式转变。

原创性/价值

该研究扩大了信息技术和管理的研究范围，重点关注酒店业，同时为影响该行业客户购买行为的新因素做出了贡献。