MiStay: Web-based hourly hotel accommodation service

This case focuses on initiatives taken by the Indian travel tech company MiStay during the COVID-19 pandemic and describes the unique strategies that forced its presence into the accommodation industry of India. The travel tech company acts as a liaison between hotels and travellers. With its online booking system, travellers can book rooms on an hourly basis. This discussion is based on the various hiccups the company has faced along with how the new idea of flexible room booking systems benefit all relevant parties. Here, the focus is on the change of the century-old hotel booking system, resulting in the creation of a new era for accommodation businesses. The changing perception caused by this paradigm shift in hotel booking systems is going to impact the hospitality industry as MiStay may face many potential competitors in the future.

The Impact of Evaluation and Recollection on Smoke-free Hotel Accommodation Experience

Objectives: It is shown by studies prior that smoke-free hotel accommodation destinations should have the edge over their rivals via offering impressive and unforgettable value to consumers. There is an increasing number of customers who hope to enjoy experiential service when traveling. Studies are scant in investigating the extent to which the experiential value has an impact on positive behavioral intention in customers’ cognitive appraisals. This paper, therefore, applied the cognitive appraisal theory (CAT) and script theory to explore the determining factors of customers’ affective responses and the impact of these enticed affections on recollection and consequent behavior. Results of this research elucidate the influence exerted by the experiential value of "pleasure" on behavior. This paper also contributes to the practical implication, helping marketers through an explicit direction for triggering positive emotions of tourists.

Pengaruh akomodasi pariwisata terhadap pendapatan asli daerah (PAD) provinsi Jawa Timur

In the decentralization and regional autonomy era, each region in Indonesia has self authority and obligation to be able to regulate and govern their region. However, performing the authority is costly. The fund is obtained from local government revenue (LCR). There are many factors can increase LCR, for instance, hotel accommodation. Therefore, this study aims to determine the influence of tourism accommodation and other factors which affect Local Government Revenue (LCR). It can be concluded that the number of restaurants, Gross Regional Domestic Product (GRDP), Regional Expenditure has a significant effect to Local Government Revenue (LCR) in accordance with using linear regression analysis method. Abstrak Dalam era desentralisasi dan otonomi daerah saat ini, menjadikan setiap daerah di Indonesia memiliki wewenang serta kewajiban sendiri untuk dapat mengatur dan mengurus sendiri urusan pemerintahan dan kepentingan daerahnya, namun untuk menjalankan kewenangan tersebut dibutuhkan pembiayaan. Pembiayaan tersebut salah satunya berasal dari pendapatan asli daerahnya (PAD). Beberapa faktor yang mempengaruhi peningkatan PAD, salah satunya akomodasi hotel. Penelitian ini bertujuan untuk mengetahui pengaruh akomodasi pariwisata dan faktor-faktor lainnya terhadap PAD. Dengan menggunakan metode analisis regresi linear berganda, hasil penelitian menunjukkan bahwa jumlah rumah makan, Produk Domestik Regional Bruto (PDRB), dan Belanja Daerah berpengaruh signifikan terhadap PAD.

ASSESSING TOURISM STUDENTS’ ENGLISH PROFICIENCY COMPETENCE BASED ON ASEAN COMMON COMPETENCY STANDARD

This study is aimed to analyze the tourism students’ English proficiency competence based on ASEAN Common Competency Standard (ACCS). The study used a descriptive qualitative method and the data were gained through English competency based workplace assessment for the students in three sub divisions at PDD Lombok Barat; hotel accommodation, culinary, and hotel engineering. The findings of the study showed that more than half of tourism students are still in the category of “low competence” in attaining English competencies based on ACCS.

Bernoulli Time Series Modelling with Application to Accommodation Tourism Demand

In this research, a new uncertainty method has been developed and applied to forecasting the hotel accommodation market. The simulation and training of Time Series data are from January 2001 to December 2018 in the Spanish case. The Log-log BeTSUF method estimated by GMM-HAC-Newey-West is considered as a contribution for measuring uncertainty vs. other prognostic models in the literature. The results of our model present better indicators of the RMSE and Ratio Theil’s for the predictive evaluation period of twelve months. Furthermore, the straightforward interpretation of the model and the high descriptive capacity of the model allow economic agents to make efficient decisions.

Tourism and Big Data: Forecasting with Hierarchical and Sequential Cluster Analysis

A new Big Data cluster method was developed to forecast the hotel accommodation market. The simulation and training of time series data are from January 2008 to December 2019 for the Spanish case. Applying the Hierarchical and Sequential Clustering Analysis method represents an improvement in forecasting modelling of the Big Data literature. The model is presented to obtain better explanatory and forecasting capacity than models used by Google data sources. Furthermore, the model allows knowledge of the tourists’ search on the internet profiles before their hotel reservation. With the information obtained, stakeholders can make decisions efficiently. The Matrix U1 Theil was used to establish a dynamic forecasting comparison.

Cycles and Uncertainty: Applications in the Tourist Accommodation Market

In the socio-economic field, it is not surprising that decision-making is based on asymmetric information. Economic agents make decisions to forecast in primary and secondary industries related to the tourism sector. This study aims to provide knowledge in situations of asymmetric information with increasing randomness using time series for tourism accommodation markets. We are trying to solve the question of how consumers exchange their preferences for tourist accommodation between tourist apartments and hotel accommodation in Spain. The emergence of the sharing economy concept has emerged as a competitor to the traditional hotel accommodation in the tourist market. To do this, we will develop a theoretical framework to measure situations of uncertainty and their temporal evolution. Information Theory (IT) is the central axis of the study, particularly the concept of entropy. The Shannon entropy (SE) concept is a static measure of information. This work proposes to model the temporal arrangement of SE to discover the behaviors of the systems. The study in the domain of time and frequency allows us to understand the cycles of uncertainty between systems. To apply the theoretical framework, we will work with data from official Spanish sources for tourist accommodation from January 2008 to December 2019. The results of the empirical analysis show the decision changes of economic agents according to a seasonal pattern. Consumers have new accommodation options, and the answer we get from this work is that consumers have different preferences depending on seasonality. The use of SE allows us to make better predictions compared to SARIMA models, the traditional modelling of seasonal dummy variables, and VAR models. The results of the Matrix U1 Theil verify this hypothesis. The theoretical framework and empirical analysis find an answer to asymmetric information. The implications of this work contribute to the field of social sciences related to the tourism sector, in particular to thermodynamics, statistical mechanics, and IT. The modelling of uncertainty allows for the forecasting and control of accommodation tourist markets in random situations. The applications of this study can be tested in other areas of the economy such as finance, transportation, or investment.

Short-Term Rentals and the Residential Housing System: Lessons from Berlin

The increasing professionalisation of Airbnb-style short-term rentals has emerged within a grey space between residential housing and hotel accommodation. Subsequently, an array of contestations have arisen, due in no small part to the intangibility of online short-term rental platforms as well as the absence of clear regulation at the municipal level. In urban settings already confronted with housing issues such as supply shortages and reduced affordability, recent studies show how the proliferation of short-term rentals can amplify housing market pressure while feeding into the broader urban processes of gentrification, touristification, and displacement. Using Berlin, Germany, as a site of analysis, this paper explores the expansion of short-term rentals in relation to various policy interventions designed to regulate the conversion of residential housing into tourist accommodation.

APPLICATION OF WEB BASED VE.RUBRIC TO THE PERFORMANCE ASSESSMENT MAKING BED IN SMK HOTEL ACCOMODATION

This background of this research is motivated by the fast moving technology development of the education world which implicates the development standard development of performance assessment in assessing student's competence in SMK Hotel Accommodation, so the result of performance assessment could be well documented for a long time. The purpose of this research is to develop a Web-Based VE.Rubric to the Making Bed Performance Assessment Application in SMK Hotel Accommodation. This research is using descriptive method with the planning, production, and evaluation phase. Data collecting technique was used by utilizing interview and validation test through Expert Judgement to IT Expert, Assessor, Teacher, and Hotel Practitioner as Housekeeping's Expert. The result of the shows that VE.Rubric to the Making Bed Performance Assessment is considered worthy to be implemented to the performance test in SMK Hotel Accommodation and the in the Hotel Industry to the Job Performance Housekeeping Department.Keywords: VE.Rubric, Web based application, Performance assessment, Making bed, SMK Hotel Accommodation

Universal value worldview: analysis of virtual tourist reviews

All realities of the surrounding human environment have an axiological potential, and it is generally believed that the ethnic worldviews are characterized by various evaluative dominants. This work substantiates the idea of the existence of universal value attitudes of the representatives of different locative worldviews. The object of this research is the evaluative field “Recreation”; the subject is evaluative judgments of the authors of virtual reviews about vacation on the island Hainan (China), which contain an axiological response to a particular object related to the analyzed evaluative field. The virtual tourist reviews from three locative groups (USA, Europe, Russia) served as the material for this research. The analysis was based on the field method of language description. The conducted research demonstrates that the evaluative field “Recreation” has a similar structure in the representations of native speakers of the three locative groups. The nuclear zone is represented by the thematic group “Hotel accommodation”; the near periphery is formed by the thematic groups “Service”, “Food”, “Beach recreation”; the far periphery includes evaluative judgments of the thematic groups “Activities outside the hotel”, “Landscape”, “Overall impression”, “Fauna”. Each group consists of several objects of evaluation, the axiological response to which is verbalized through evaluative predicates. As a result of studying the evaluation field “Recreation”, the author established that nationality and place of residence of a person do not impact the choice of the object of evaluation of recreation sphere; responses of the representatives of the three locations to tourist objects are very similar.