Living Room Instead of Hotel Room

The chapter explores shared accommodation platforms such as Airbnb and the primary motivations for its customers. This research will be based on the deductive process, which is focused on primary and secondary research. This research aims to analyze the motivation towards either the Airbnb platform or traditional hotel from different perspectives, such as economic, environmental, and social. Additionally, after secondary data research, the questionnaire has been constructed to understand the main concepts of the P2P platform and its customers' needs. The investigation tried to notice what are the motivations which drive individuals to use P2P accommodation service. Through the survey, it was possible to see the motivations mainly related to the economic factor and environmental. Primarily due to the lower price of Airbnb, there is a more significant intent to book through this specific platform.

Improving Hotel Room Demand Forecasts for Vienna across Hotel Classes and Forecast Horizons: Single Models and Combination Techniques Based on Encompassing Tests

The present study employs daily data made available by the STR SHARE Center covering the period from 1 January 2010 to 31 January 2020 for six Viennese hotel classes and their total. The forecast variable of interest is hotel room demand. As forecast models, (1) Seasonal Naïve, (2) Error Trend Seasonal (ETS), (3) Seasonal Autoregressive Integrated Moving Average (SARIMA), (4) Trigonometric Seasonality, Box–Cox Transformation, ARMA Errors, Trend and Seasonal Components (TBATS), (5) Seasonal Neural Network Autoregression (Seasonal NNAR), and (6) Seasonal NNAR with an external regressor (seasonal naïve forecast of the inflation-adjusted ADR) are employed. Forecast evaluation is carried out for forecast horizons h = 1, 7, 30, and 90 days ahead based on rolling windows. After conducting forecast encompassing tests, (a) mean, (b) median, (c) regression-based weights, (d) Bates–Granger weights, and (e) Bates–Granger ranks are used as forecast combination techniques. In the relative majority of cases (i.e., in 13 of 28), combined forecasts based on Bates–Granger weights and on Bates–Granger ranks provide the highest level of forecast accuracy in terms of typical measures. Finally, the employed methodology represents a fully replicable toolkit for practitioners in terms of both forecast models and forecast combination techniques.

Sistem Pintu Otomatis Menggunakan E-KTP Berbasis Internet of Things (IoT) pada Kamar Hotel

The system of opening and closing the hotel room doors is already using RFID but its use is still not optimal because the card used is very expensive and the card used can only be one card for each room, so if the card is lost, you have to re-enter the card id. Therefore, digital electronic technology systems and devices are needed to make it easier to open the door and close the hotel room so that it can facilitate the hotel security system with automatic locks. This system and device uses an E-KTP and an Internet of Thing (IoT)-based Keypad and which functions to control the device using a NodeMCU while for a card reader with an RFID engine. The research method uses a model, namely with a prototype model for making systems and automatic room door locking system tools. The results and conclusions of the manufacture of hotel room automatic door locking systems and devices using an Internet of Thing (IoT)-based E-KTP equipped with a message LCD and keypad as a door opening solution if the RFID machine does not work. The security of hotel guests who stay is more guaranteed and can also make it easier for guests and hotel staff with an automatic hotel room door lock system. The results of the user's assessment of the work of a series of systems and tools to open and lock this automatic hotel room door are very good with a value of 88.7%.

The Emotional Impact of Hotel Room Colour in Spanish and Equatorian Tourists

Research suggests that colour plays an important role in creating wellness emotions in hotel customers. This paper considers that tourists’ needs for wellness may be satisfied by manipulating existing elements of a hotel, such as the colour of a hotel room. The paper studies the relationship between tourists’ emotions and the main colour of a hotel room, and also the relationship between that emotion and their intention to stay in the hotel, and even the price that the tourists are willing to pay. Also, the paper studies the role of cultural differences in these relationships, specifically between Spanish and Equatorian tourists.

Anthony Bourdain's long-burning suicidal wick -- in his own words

As Bourdain continued to struggle publicly with his demons over the years, he also became increasingly comfortable with the idea of suicide as potential exit strategy. He became particularly comfortable with the idea of hanging himself as an option, and was especially drawn to the idea of hanging himself in the shower. Sufficiently comfortable that he referred casually and explicitly to killing himself in this way throughout his professional career. Not occasionally, but frequently. A cursory review of his public statements over the years reveals 19 separate occasions— in writing, during interviews, and on camera— on which he refers to suicide by hanging. On the vast majority of these occasions he refers explicitly to hanging himself in the shower, on 1 occasion more specifically to hanging himself in the shower of his hotel room, and on 1 occasion even more specifically to hanging himself in the shower stall of his lonely hotel room:

The Threshold-Crossing Effect: Just-Below Pricing Discourages Consumers to Upgrade

Managers often set prices just-below a round number (e.g., $39) – a strategy that lowers price perceptions and increases sales. The authors question this conventional wisdom in a common consumer context: upgrade decisions (e.g., whether to upgrade a car or hotel room). Seven studies—including one field study—provide empirical evidence for a threshold-crossing effect. When a base product is priced at or just-above a threshold, consumers are more likely to upgrade and spend more money (studies 1–3) because they perceive the upgrade option as less expensive (study 4), and they place less weight on price (study 5). Testing theoretically motivated and managerially relevant boundary conditions, studies find that the threshold-crossing effect is mitigated under sequential choice (study 6) and when an upgrade price crosses an upper threshold (study 7). These studies demonstrate that a small increase in price on a base product can decrease price perceptions of an upgrade option and, thus, increase consumers’ likelihood to upgrade. It suggests that just-below pricing, while sometimes advantageous at first, may not always be an optimal strategy for managers trying to encourage consumers to ultimately choose an upgrade option.

Forecasting hotel room demand amid COVID-19

The COVID-19 pandemic has hindered international travel considerably, greatly affecting the hotel industry. Hong Kong, as a well-known international tourist destination, has also been hit hard by the crisis. Recovery forecasts for hotel room demand are critical to managing this ongoing crisis. This study employs the autoregressive distributed lag error correction model to generate baseline forecasts of hotel room demand for Hong Kong followed by compound scenario analysis to optimize forecasts considering the pandemic’s impacts. The COVID-19 Travelable Index is designed to group source markets by their pandemic situations, vaccinations, policy responses, and health resilience. To capture pandemic-related uncertainty, this study presents three scenarios describing recovery patterns based on trough duration, the quarter for lifting travel restrictions, and the quarter for returning to baseline forecasts. Hotel demand forecasts geared toward each source market are analyzed, revealing strategies to help hotel businesses manage this crisis.