The purpose of this study is to analyze the characteristic of quality attributes of smart hotels by using a SERVQUAL-IPA model, focusing on Chinese, which has the most proactive approach for the adoption of smart hotel system. Toward this goal, six quality factors—tangibles, reliability, assurance, responsiveness, empathy, and playfulness—were extracted through factor analysis, and IPA was used to appraise the degree of importance and satisfaction for each quality attribute. As a result of the SERVQUAL-IPA model, quality attributes were categorized into four groups of 'keep up the good work,' 'possible overkill,' 'low priority,' and 'concentrate here.'. Furthermore, it was concluded that there is a need to focus on the following elements: ‘smart devices can assist customers in emergency situations’, ‘when the room control system identifies customer needs, the staff can provide prompt service’, ‘development and improvement of mobile applications that enable customers to control room amenities’, ‘regular maintenance for smart devices’, and ‘providing data-driven personalized recommendations through customer activity data analysis’.

본 연구는 코로나 팬데믹 이후 호텔전공 대학생들의 전공만족도가 취 업 준비 행동 간의 영향 관계를 검증하였다. 조사대상자 260명의 응답을 바탕으로 가설검정 결과 교과 만족, 인식 만족, 관계 만족이 모두 취업 준비 행동에 부분적으로 정(+)의 영향을 미치는 것으로 나타났다. 특히 인식 만족이 높을수록 직간접적 취업 준비 행동에 미치는 영향이 높았 다. 본 연구는 학문적으로는 인식 만족이 높을수록 취업 준비 행동에 높 은 영향 관계를 맺는 것에 주목하여 사회적 인식의 변화가 호텔산업 고 용시장의 구인난을 해결하는데 촉매 역할을 할 수 있음을 밝혔고, 실무 적으로는 다양하고 혁신적 교수법과 교과목 개발, 실무수업과 이론 수업 의 적절한 조합, 학생 맞춤형 상담과 취업지도, 커뮤니케이션 강화 등을 통해 호텔 전공학생의 전공만족도를 향상하고 이를 바탕으로 취업 준비 행동을 촉진 시킬 수 있음을 증명하였다.

This study examines the performance of a penalized neural network and the replication of a customer engagement survey scale with text information in the hotel industry. Although the empirical analysis shows highly accurate model performance only in the training sample, the results also clarify the issues of the engagement scale.

The study proposed a dual-path model to examine the relationship between customer perceived hotel innovativeness and customers’ interactivity, building the signaling theory. The model was tested with hotel customers from China. The findings suggest that customers’ perceived hotel innovativeness not only has a positive and direct impact on their interactivity, it also indirectly contributes to customers’ interactivity via two indirect paths, one featuring a cognitive-economic motivation pathway and the other featuring an affective-motivation pathway.

Based on the Anthropomorphism theory and the Computers Are Social Actors paradigm, this research adopts questionnaire method and explores the relationship between robot anthropomorphism, social presence, social cognition and consumer’ continued using intention. In addition, we select technology anxiety as the moderator to explore its boundary effect

The development of Information Communication Technologies (ICTs) has dramatically changed the way of hotel booking. The increasing number of online consumers provides abundant data for demand forcasting in revenue management. The current methods e.g. historical data analysis, normally focus on studying consumers’ behaviors and preferences in the hotel but may not be able to integrate that out of the hotel such as dining, travelling, shopping and entertaining, which will bring crucial references to the co-relationship between these consumption and the way of hotel booking. This research adopts a persona approach to infer consumers’ preference probability by using a variety of real-time data. Quantitative methods are employed. In order to predict the booking needs accurately, this research establish a Bayesian network on the online platform for life service that can be associated with various consumer behavior data. The results indicate that in the environment of uncertain demand, the algorithm is effective and applicable, which will help directors of hotel revenue management in accurate price planning and decision making.

Since social media has become an essential tool in the contemporary hotel industry, companies are now building social media communities to engage customers online (Leung & Bai, 2013) and to maintain satisfaction, trust, commitment, loyalty, and brand relationship quality (Harrigan, Evers, Miles, & Daly, 2017). Despite global hotel companies’ increasing adoption of social media platforms to promote customer engagement, research in this area is still sparse (Harrigan et al., 2017; So, King, & Sparks, 2014). To fill this gap, the authors developed a theoretical model incorporating two antecedents (hotel brand experience and customer involvement to social media) and a consequence (brand relationship quality) of customer engagement (CE) in the context of hotel brand communities embedded in social media. Additionally, the authors included hotel brand reputation (HBR) in the model as another predictor of brand relationship quality (BRQ). This study obtained data from a panel survey consisting of the responses of hotel customers who had stayed at one of ten famous hotel brands in the U.S. within the past 12 months and were simultaneously followers of the hotel brand’s page on Facebook. The findings reveal that both antecedents (ISM and HBX) positively and significantly influence CE and that hotel brand experience (HBX) has a stronger impact on CE than ISM. The findings also demonstrate that CE has the strongest, positive effect on BRQ, followed by HBX and HBR. Furthermore, the findings indicate that the relationship between HBX and BRQ is partially and significantly mediated by CE. This research provides theoretical and practical contributions to the field. First, unlike previous studies, the current study utilized the concept of CE with hotel brand communities embedded in social media as a mediator between HBX and BRQ and found partial and significant mediation effects. Second, the study identified two new and crucial antecedents of CE with brand communities embedded in social media—customer brand experience and customer social media involvement. Third, this study found brand relationship quality as one of the primary outcomes of customer engagement with hotel brand communities in social media. Lastly, the findings confirm that social media-based brand communities (i.e., Facebook) are one tool companies can use to build long-lasting customer-brand relationships.

This is a cross-culture study looking into how organization’s customer orientation and empowerment influence hotel employees’ three types of OCBs (OCB-O, OCB-I and OCB-C). Using data collected from US and Australia employees, the study found that customer orientation was a significant predictor of employees’ three types of OCBs, while empowerment was only a significant predictor for employees’ OCB-C. Culture was found to moderate the proposed relationships, with stronger relationships observed in US than in Australia.