Journal articles: 'Hotel Room Rate Pricing'

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Karunarathne, A. C. I. D., and D. A. C. Silva. "The impact of hotel attributes on room rate in star graded hotels in Colombo, Sri Lanka." Journal of Sustainable Tourism and Entrepreneurship 2, no. 3 (March 25, 2021): 159–70. http://dx.doi.org/10.35912/joste.v2i3.557.

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Abstract Purpose: The purpose of this study was to examine how the availability or absence of different hotel attributes affect the room rate during a given period. This study identified the impact of various hotel attributes on the room rate. Research methodology: Published data on available hotel attributes, and room rates of selected room categories of star-graded hotels in Colombo district, Sri Lanka, were gathered online through booking.com. The Ordinary Least Squares (OLS) method was used to estimate the impact of key determinants under hotel amenities, quality signals, and locational attributes. Results: The results revealed eleven key attributes of the room rate in star-graded hotels, illustrating the positive impact from seven determinants and the negative impact from four determinants. Hotel class or star grade was the most significant determinant in the room rate, which generally determines the pricing behavior and service quality and most of the attributes and characteristics in a hotel. Availability of a business center, location of the hotel, fitness center/spa, total number of rooms in the hotel, room size, and view from room also significantly determined the room rate. Limitations: Booking.com, as the most popular Online Travel Agent (OTA) used in Sri Lanka, it was assumed that the information is frequently updated. The study was extended for the hotels in the Colombo district, and hence, the results were based on the point data, which may not be an islandwide representation or year through data. Contribution: As theoretical applications are underused in pricing and revenue decisions in the Sri Lankan hotel sector, results will lead to advance the decision making of practitioners, and this study will be a complement to the lack of literature in the field of revenue management in Sri Lankan context and may encourage future researchers laying an inspiring beginning.

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Nadia, El-Nemr, Canel-Depitre Beatrice, and Taghipour Atour. "The Determinants of Hotel Room Rates in Beirut: A Hedonic Pricing Model." International Journal of Trade, Economics and Finance 12, no. 2 (April 2021): 33–42. http://dx.doi.org/10.18178/ijtef.2021.12.2.690.

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This work attempts to identify locational, structural and other attributes that have an effect on room rates in Beirut region. Therefore, a sample of 89 hotels were considered in this study. Data were collected from TripAdvisor website during March 2019, considered as a low season in Lebanon. An OLS regression analysis was used to identify significant variables. Results has shown a strong positive significance of star rating category and accessible rooms, and a strong negative significance of centrally located, business and safe labels. Hotel managers are advised to use current findings and analysis to adjust their pricing strategies and communicated image.

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Zheng, Tianxiang, Shaopeng Liu, Zini Chen, Yuhan Qiao, and Rob Law. "Forecasting Daily Room Rates on the Basis of an LSTM Model in Difficult Times of Hong Kong: Evidence from Online Distribution Channels on the Hotel Industry." Sustainability 12, no. 18 (September 7, 2020): 7334. http://dx.doi.org/10.3390/su12187334.

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Given the influence of the financial-economic crisis, hotel room demand in Hong Kong has experienced a significant drop since June 2019. Given that studies on the room rate aspect remains limited, this study considers the demand for hotel rooms from different categories and districts. This study makes forecast attempts for room rates from mid-October of 2019 to mid-June of 2020, which was a difficult period for Hong Kong owing to the onset of the social unrest and novel coronavirus outbreak. This study develops an approach to the short-term forecasting of hotel daily room rates on the basis of the Long Short-Term Memory (LSTM) model by leveraging the key properties of day-of-week to improve accuracy. This study collects a data set containing 235 hotels of the period from various online distribution channels and generates different time series data with the same day-of-week. This study verifies the proposed model through three baseline models, namely, autoregressive integrated moving average (ARIMA), support vector regression (SVR), and Naïve models. Findings shed light on how to lessen the impact of violent fluctuations by combining a rolling procedure with separate day-of-week time series for the hospitality industry. Hence, theoretical and managerial areas for hotel room demand forecasting are enriched on the basis of adjusting room pricing strategies for hoteliers in improving revenue management and making appropriate deals for customers in booking hotel rooms.

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Battiti, Roberto, Mauro Brunato, and Filippo Battiti. "RoomTetris: an optimal procedure for committing rooms to reservations in hotels." Journal of Hospitality and Tourism Technology 11, no. 4 (November 2, 2020): 589–602. http://dx.doi.org/10.1108/jhtt-08-2019-0108.

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Purpose Many hotels allocate guests to specific rooms immediately after reservation. This happens because individual rooms are sold (and there is no concept of room type) or because the assignment is done by hand at reservation or because of a connection with a channel manager, which is immediately fixing the room number after a reservation request. This early allocation is suboptimal, and it causes the unnecessary rejection of some reservations when the hotel has a high occupancy level. The purpose of this paper is to investigate different room allocation algorithms, including an optimal one (called RoomTetris), aiming at higher occupancy levels and profitability. Design/methodology/approach The methodology is based on theoretical results and experimentation. The optimality or the proposed RoomTetris algorithm is demonstrated. Experiments are executed in different contexts, including realistic ones, through the adoption of a hotel simulator, to measure the improvements in the occupancy rate of the optimal and heuristic strategies with respect to random or sub-optimal assignments of rooms. Findings The main results are that smart allocation algorithms can greatly reduce the rejection rate (reservation requests which cannot be fit into the hotel room plan) and improve the occupancy level, the percentage of available rooms or beds sold for the various periods. Research limitations/implications This analysis can be extended by considering cancellations and overbookings. A second possibility to add flexibility in room allocation for hotels having more than one type of rooms is that the hotel can upgrade and offer a high-price room to the customer, which given an even large flexibility to fix rooms by shifting customers to other compatible types. In addition, more complex integrations with revenue management can also be considered, for cases in which the cost of a room depends on the number of guests. Practical implications Given that the difference in occupancy rate of the optimal algorithm is particularly large in high season and high-request periods, periods which are usually associated to higher rates and higher volumes, the proposed algorithm will improve the main financial performance indicators such as revenue per available room by an even bigger multiplier, depending on the hotel pricing policy. Because the room allocation process can be completely automated, the adoption of appropriate smart allocation algorithms represents a low-hanging fruit to be picked by efficient hotel managers. Originality/value To the best of the knowledge this is the first proposal of an optimal algorithm (with proof of optimality) for the considered problem.

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Schwartz, Zvi. "A Dynamic Equilibrium Pricing Model: A Game Theoretic Approach to Modelling Conventions' Room Rates." Tourism Economics 2, no. 3 (September 1996): 251–63. http://dx.doi.org/10.1177/135481669600200304.

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Utilizing the theoretical framework of game theory, this study provides an economic model to describe the process of determining a convention's room rates. It provides a method to infer simultaneously the room rate and the number of rooms allocated at each price level. This approach exploits information both on consumers' utilities and expectations, and on the hotel's perceptions of its markets. Equilibria in pure strategies are derived for various combinations of the market segments' relative size, supply demand ratios, and levels of willingness to pay. The study extends the existing literature on price optimization in hotels by including the customers as active participants in this strategic behaviour framework. The model demonstrates that the effectiveness of price optimization depends on the validity of the assumptions one makes about the segments' characteristics. The model identifies the market conditions under which yield management (allocation of rooms to room rates) maximizes the hotel's revenue. It shows the importance of a credible commitment by the hotel to maintain high room rates as time draws closer to the date of stay and shows how discounts can be used effectively to segment the market.

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Barreda, Albert A., Sandra Zubieta, Han Chen, Marina Cassilha, and Yoshimasa Kageyama. "Evaluating the impact of mega-sporting events on hotel pricing strategies: the case of the 2014 FIFA World Cup." Tourism Review 72, no. 2 (June 19, 2017): 184–208. http://dx.doi.org/10.1108/tr-02-2017-0018.

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PurposeThis study aims to examine the impact of a mega-sporting event “2014 FIFA World Cup” on hotel pricing strategies and performance. Design/methodology/approachThe present project examines the host regions’ response to the 2014 FIFA World Cup which was established by the variance in the main hotel key performance indexes: occupancy, average daily rate, revenue per available room (RevPAR) and supply. Using data gathered from STR, this research distinctly shows how the Brazilian host regions reacted to the World Cup. FindingsResults suggest that the key performance indicators of Brazil’s lodging sector reacted differently to the World Cup. Although all hosting cities experienced significant RevPAR growth because of the increase in hotel room rates during the event, the supply and occupancy performed differed from each city. Research limitations/implicationsResearch is limited to the case of hotel performance at the country level for mega-events. The study focused on the reaction of revenue managers in the Latin America context. Other contexts may generate different results. Practical implicationsThe study helps revenue managers to examine how the FIFA World Cup travel demand affected pricing strategies and revenue management practices in the Brazilian hotel sector in areas undergoing seasonal growths in overnight tourism. This study serves to inform hoteliers and practitioners about revenue management pricing strategies to improve hotel performance during mega-sporting events. Social implicationsThis study reveals that the benefits brought by a mega-event are not always translated into strong hotel revenue performance. This study highlights an important but understudied research area of revenue management pricing strategies and the effect of mega-sporting events in the hotel sector. This study contributes to the literature as one of the few investigations to benefit hotel pricing strategies and overall revenue performance. Originality/valueThis study is one of the few studies about exploring the reaction of revenue managers during the execution of a mega-sporting event. The value of the present study lies in the fact that the authors extend previous studies examining the impact of the most important sporting event in the hotel industry at the country-level perspective. This study serves to inform hoteliers and practitioners about revenue management pricing strategies to improve hotel performance during mega-sporting events.

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Surya, Putu Rian Arde, Dewa Made Suria Antara, Ni Gst Nym Suci Murni, and Ni Luh Ayu Kartika Yuniastari Sarja. "The Implementation of E-Commerce Dynamic Rate to Generate Room Revenue." International Journal of Green Tourism Research and Applications 1, no. 1 (December 23, 2019): 34–54. http://dx.doi.org/10.31940/ijogtra.v1i1.1629.

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This study aims to determine the e-commerce dynamic rate structure to generate room revenue and the better implementation between dynamic rate and the static rate at a 3 star hotel in Kuta, Bali. Data collection methods used in this research as follows: interviews, observation, and documentation. The data analysis technique used is the mean analysis technique, dynamic pricing method, profit margin ratio, and descriptive analysis techniques. The results of the study showed the step by step of dynamic rate structure determination and the dynamic rate is better than the static rate. This is indicated by the results of the average profit margin ratio in 2016-2018 on the dynamic rate at 39.41% compared to the static rate at 2.00%. Based on the results of the analysis, any efforts that can be made are paying attention to the dynamic rate during decreasing the Price Points (PP), thus avoiding complaints from offline travel agents and implement the dynamic rates for offline travel agents, hence generate profits with a greater profit margin ratio for the hotel

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Zemke, Dina Marie V., Carola Raab, and Kaiyang Wu. "How does hotel design contribute to property performance?" International Journal of Contemporary Hospitality Management 30, no. 2 (February 12, 2018): 919–38. http://dx.doi.org/10.1108/ijchm-06-2016-0330.

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Purpose The purpose of this paper is to test the relationships between a hotel’s design quality and the property’s business performance. Design/methodology/approach Hotel guests’ assessments of the design quality of hotels that they recently visited are tested using the design quality indicator (DQI). Business performance is measured using indexed values for each property’s occupancy, average daily rate (ADR) and revenue per available room (RevPAR). The data are analyzed using exploratory factor analysis and a variation of a hedonic pricing model. Findings Factor analysis reduced the DQI instrument to 19 measurement items. Factors that measure navigability and signage positively impact occupancy index. Factors that measure flexible space usage negatively impact the RevPAR and ADR indices. Factors that reflect aesthetic constructs, including Urban & Social Integration and Character & Form, positively impact the RevPAR and ADR indices. Research limitations/implications The study examines a nationwide sample of guests from two full-service brands of a single multi-brand hotel company. The study provides a parsimonious, validated design measurement instrument and a revised hedonic pricing analysis. Practical implications Hoteliers can use this technique to assist with resource allocation decisions. Aesthetic elements, including the building’s Urban & Social Integration with its surroundings and its Character & Form, lead to higher ADR and RevPAR performance. Managers should ensure a coherent layout and good signage program to drive occupancy. Originality/value This study offers a technique to measure design quality and a new method of performing a hedonic pricing analysis.

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Yup Chung, Kyoo. "Hotel room rate pricing strategy for market share in oligopolistic competition — eight-year longitudinal study of super deluxe hotels in Seoul." Tourism Management 21, no. 2 (April 2000): 135–45. http://dx.doi.org/10.1016/s0261-5177(99)00043-6.

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Koh, Yoon, Amanda Belarmino, and Min Gyung Kim. "Good fences make good revenue: An examination of revenue management practices at peer-to-peer accommodations." Tourism Economics 26, no. 7 (August 12, 2019): 1108–28. http://dx.doi.org/10.1177/1354816619867579.

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While hotel revenue managers utilize tools such as pricing, market segmentation, rate fences, and forecasting to maximize revenue, hosts in peer-to-peer (P2P) accommodations often have limited knowledge and lack the sophisticated pricing tools. Despite online resources for revenue management available, there has yet to be an examination regarding how widely spread these practices are in the P2P accommodation segment. Based on daily best available rates and booking restrictions information for P2P accommodations listed on Airbnb from top 10 cities with highest room inventories in the United States, this study aims to shed light on the current state of revenue management adoption on Airbnb. Utilizing a total of 307,955 Airbnb property’s daily data for 32 months, this study found that there are significant differences in revenue management practices by host characteristics (multi-unit hosts vs. single-unit hosts: Superhosts vs. non-Superhosts) for three revenue management tactics: dynamic pricing, minimum night’s stay, and restricted cancellation, and the hosts practices changes as their experience accumulates.

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Temelkov, Zoran. "Overview of price discrepancies among hotels positioned in the same category." Menadzment u hotelijerstvu i turizmu 8, no. 2 (2020): 11–23. http://dx.doi.org/10.5937/menhottur2002011t.

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Hotels have a variety of pricing methods at their disposal when defining adequate pricing strategy. Nevertheless, irrespective of the complexity and the manner in which room prices are calculated all methods are based on certain factors which have an influence on the final room rate. Accordingly, the perception regarding the impact of each factor along with the expected value provided to the customer will cause for hotels to charge different prices. The prices offered on Booking.com for hotels falling in different categories allow examination of the potential price differences among five, four, three and two stars hotels in multiple cities in Europe. The findings suggest that even though two hotels may belong to the same category, their prices may differ few hundreds of per cents which implies that the level of value offered to guests can vary significantly.

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Hayatun Nufus. "Bisnis Penginapan Berbasis Syariah Perspektif Hukum Ekonomi Islam." Istidlal: Jurnal Ekonomi dan Hukum Islam 6, no. 2 (November 17, 2022): 118–31. http://dx.doi.org/10.35316/istidlal.v6i2.438.

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Seven Dream Syariah Hotel Jember was the only lodging business that includes a sharia label on its business. Concerning Islamic law to avoid things that were violated, the researcher focuses on service transactions in the sharia-based lodging business that had been practised.Discussion in this study. How were service transactions in sharia-based lodging at Seven Dream Syariah Hotel Jember? How were service transactions in sharia-based lodging at Seven Dream Syariah Hotel Jember from the perspective of Islamic economic law? This research used qualitative methods. The data collected by the researcher includes primary and secondary data. While the source data was obtained through observation, interviews and documentation. Then the data were analyzed descriptively through data reduction, display and verification. Based on the results of the study, the presence of 'aqidain, mu'jir and musta'jir had reached puberty. The object of this transaction was the rental of guest rooms, meeting rooms and laundry services. In the pricing, tabaduli was due to a lack of information which results in ambiguity. The practice of this transaction was legal if the musta'jir did not object to paying the rental rate. If the mu'jir did not provide complete information and object, then the law was invalid.

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Castro, Conceição, Fernanda A. Ferreira, and Flávio Ferreira. "Trends in hotel pricing." Worldwide Hospitality and Tourism Themes 8, no. 6 (December 5, 2016): 691–98. http://dx.doi.org/10.1108/whatt-09-2016-0047.

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Purpose The aim of this paper is to analyze and compare the effect of different hotel characteristics and room attributes on room rates of hotels in the cities of Lisbon and Porto, the capital and second most important city in Portugal. Design/methodology/approach Using the hedonic pricing method, hotel characteristics are decomposed and analyzed, giving us the perception of the impact of each hotel attributes on the room rates and the people’s willingness to pay for this. Ordinary least square regression analysis was applied to the hedonic price model to find which variables could explain differences in the hotel room rates in Lisbon and Porto. Findings The results suggest that in Lisbon and in Porto, a number of common characteristics have significant effects on consumer willingness to pay for a stay in a hotel as star rating, consumer rating and the room size. In Porto, the existence of a fitness centre and in Lisbon, the distance to the city centre are also attributes that create a premium in room rates. Practical implications The knowledge of the most valued characteristics by consumers is an important tool for hotel managers to define a price strategy. Also important is the knowledge of the attributes that provide more added value for consumers as these should be taken into account in new investment decisions. Originality/value This study highlights the implications of the way one defines and measures qualitative hotel characteristics in hedonic pricing. Although the hedonic method has been applied in several studies, to our knowledge, in Portugal, there are few studies applied only to hotel room rates, and there are no studies comparing hotel room rates in different Portuguese cities. Moreover, the research highlights the critical role of a proper definition and measurement of the variables in hedonic pricing in general and the hotel star in particular.

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Hamdan. "Determination of Hotel Room Rental Rates Using the Cost-Plus Pricing Method." Ilomata International Journal of Management 2, no. 3 (July 30, 2021): 201–5. http://dx.doi.org/10.52728/ijjm.v2i3.281.

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Room rental rates in the hotel business is the one of the customer consideration for selected the hotel. This study aims to compare the pricing determined by the hotel with the price-plus pricing method. The study was conducted a hotel in a tourist area in Banten by analyzing the operational costs incurred by the hotel and the standard cost that has been made. Determination of price based on full costing method obtained Standard room Rp 556.688, deluxe room Rp 722.855, Junior Executive Rp 1.077.091, Executive Rp 2.111.098, President Suite room Rp 3.546.987. But when using Variable Costing, the price of Standard room is Rp 246,089, Deluxe Room Rp 344,432, Junior Executive Rp 345,678, Executive Rp 487.244, President Suite Rp 1.934.805, so it is possible to win the competition because the price can be cheaper.

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Hamdan. "Determination of Hotel Room Rental Rates Using the Cost-Plus Pricing Method." Ilomata International Journal of Management 2, no. 3 (July 30, 2021): 201–5. http://dx.doi.org/10.52728/ijjm.v2i3.281.

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Room rental rates in the hotel business is the one of the customer consideration for selected the hotel. This study aims to compare the pricing determined by the hotel with the price-plus pricing method. The study was conducted a hotel in a tourist area in Banten by analyzing the operational costs incurred by the hotel and the standard cost that has been made. Determination of price based on full costing method obtained Standard room Rp 556.688, deluxe room Rp 722.855, Junior Executive Rp 1.077.091, Executive Rp 2.111.098, President Suite room Rp 3.546.987. But when using Variable Costing, the price of Standard room is Rp 246,089, Deluxe Room Rp 344,432, Junior Executive Rp 345,678, Executive Rp 487.244, President Suite Rp 1.934.805, so it is possible to win the competition because the price can be cheaper.

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Li, Yihua, Lila Rasekh, Xiubin Bruce Wang, and Qing Miao. "Stochastic model for hotel room pricing and upgrading." Journal of Revenue and Pricing Management 15, no. 6 (November 14, 2016): 500–508. http://dx.doi.org/10.1057/s41272-016-0066-9.

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Sánchez-Pérez, Manuel, María D. Illescas-Manzano, and Sergio Martínez-Puertas. "Modeling hotel room pricing: A multi-country analysis." International Journal of Hospitality Management 79 (May 2019): 89–99. http://dx.doi.org/10.1016/j.ijhm.2018.12.014.

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Relihan, Walter J. "The Yield-Management Approach to Hotel-Room Pricing." Cornell Hotel and Restaurant Administration Quarterly 30, no. 1 (May 1989): 40–45. http://dx.doi.org/10.1177/001088048903000113.

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Aziz, Heba Abdel, Mohamed Saleh, Mohamed H. Rasmy, and Hisham ElShishiny. "Dynamic room pricing model for hotel revenue management systems." Egyptian Informatics Journal 12, no. 3 (November 2011): 177–83. http://dx.doi.org/10.1016/j.eij.2011.08.001.

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Xu, n., and Yibai Li. "Maximising hotel profits with pricing and room allocation strategies." International Journal of Services and Operations Management 28, no. 1 (2017): 46. http://dx.doi.org/10.1504/ijsom.2017.085904.

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Li, Yibai, and Xun Xu. "Maximising hotel profits with pricing and room allocation strategies." International Journal of Services and Operations Management 28, no. 1 (2017): 46. http://dx.doi.org/10.1504/ijsom.2017.10006273.

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Chica-Olmo, Jorge. "Effect of monumental heritage sites on hotel room pricing." International Journal of Hospitality Management 90 (September 2020): 102640. http://dx.doi.org/10.1016/j.ijhm.2020.102640.

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Vinod, B. "Hotel retailing with attribute-based room pricing and inventory control." Journal of Revenue and Pricing Management 18, no. 6 (August 9, 2019): 429–33. http://dx.doi.org/10.1057/s41272-019-00207-4.

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Steed, Emmett, and Zheng Gu. "An examination of hotel room pricing methods: Practised and proposed." Journal of Revenue and Pricing Management 3, no. 4 (January 2005): 369–79. http://dx.doi.org/10.1057/palgrave.rpm.5170121.

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Hong, Jinhua, Toni Repetti, Mehmet Erdem, and Tony Henthorne. "Effect of guest demographics on perception of hotel room price." Journal of Hospitality and Tourism Insights 3, no. 1 (November 20, 2019): 3–16. http://dx.doi.org/10.1108/jhti-01-2019-0014.

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Purpose A review of past scholarly work on pricing issues in hospitality has revealed a lack of focus on customers’ demographic profiles. However, research in other disciplines reveals that understanding price perception differences among groups of customers with different demographics, including culture, is an important consideration when offering pricing strategies. The purpose of this paper is to contribute to the body of pricing research by exploring the effect of hotel guests’ demographics on their perception of hotel room prices. Design/methodology/approach Through Qualtrics, data were collected from 414 respondents who stayed at a mid-scale hotel within the past 24 months. The respondents’ perceived value (PV), perceived fairness (PF) and willingness to pay (WTP) for hotel rooms were examined with MANOVA and ANOVA tests to determine the effects of customer demographics on these variables. Findings Age, gender and marital status showed a significant effect on PV while age, gender and culture significantly affected PF. However, none of these variables significantly affected WTP. The culture of origin and the culture raised-in influenced PV, PF and WTP similarly. Originality/value This study reconciles several divergent results from previous studies and extends the scope of others by introducing different scenarios to each of the three dependent variables. To the best of the authors’ knowledge, it is also the first research study on this subject to evaluate more than two cultures and their effects on the independent variables.

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Asshofi, Izza Ulumuddin Ahmad, and Prima Setia Judha Pranata. "STRATEGI PENINGKATAN OCCUPANCY RATE DAN AVERAGE ROOM RATE PADA MASA PANDEMI COVID-19 DI HOTEL NOORMANS SEMARANG." LITE: Jurnal Bahasa, Sastra, dan Budaya 16, no. 2 (February 26, 2021): 234–49. http://dx.doi.org/10.33633/lite.v16i2.4412.

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The Covid-19 pandemic has caused unrest for all citizens of the world in the health, trade, economy, security, politics, transportation, human mobility and tourism sectors. As the second largest contributor to foreign exchange in Indonesia in 2019, tourism, especially hospitality, has experienced a significant decline in business. Starting from canceling room reservations to canceling various activities at the hotel. As a consequence, the hotel occupancy rate and average room rate dropped dramatically to 10% - 25%. This was also experienced by Hotel Noormans Semarang, which only had an occupancy rate of 15% in April 2020 with an average room rate below the price of IDR 300,000.00. The aim of this paper is to observe the strategy to increase the occupancy rate and average room rate during the Covid-19 pandemic at the Hotel Noormans Semarang. This research was designed with a descriptive qualitative paradigm. This research shows that the strategy of increasing the occupancy rate and average room rate during the pandemic at Noormans hotels in 2020 does not show positive results. However, what happened was the opposite, a decline from 2019 to 2020. The occupancy rate decreased from 70% to 36% and the average room rate decreased from IDR 332,094.00 to IDR 258,250.00. Keywords: occupancy rate, average room rate, hotel, Covid-19

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Repetti, Toni, Susan Roe, and Amy Gregory. "Pricing strategies for resort fees: consumer preferences favor simplicity." International Journal of Contemporary Hospitality Management 27, no. 5 (July 13, 2015): 790–809. http://dx.doi.org/10.1108/ijchm-06-2013-0237.

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Purpose – The purpose of this study is twofold: to determine hotel customers’ preference among hotel amenities pricing strategies, specifically a bundled, all-inclusive charge in the form of a resort fee, a limited choice resort fee at a lower price or a la carte pricing, and to determine whether hotel customer prefer bundled or partitioned pricing when faced with a mandatory resort fee. Design/methodology/approach – An online survey of participants aged 18 years and older who had taken an overnight leisure trip in the past six months is conducted. A fixed-choice set conjoint analysis is performed to analyze the 353 usable surveys. Findings – Results of this conjoint analysis show that 67 per cent of respondents prefer bundled pricing over partitioned pricing. Respondents also show higher utility for no resort fee and paying for amenities based on usage instead of being forced to pay a mandatory resort fee. Practical implications – Guest preferences for pricing strategies can provide hotel operators with valuable information on how to establish pricing structures. Results suggest that hotel operators could benefit from presenting a bundled price inclusive of room rates and mandatory fees. Originality/value – This is the only known study that examines mandatory fees in which customers receive additional amenities or services in exchange for an additional surcharge. This study also adds to the literature on pricing research in the hospitality industry.

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Nelson, Robert R. "Current issues in hotel room rate discounting." Journal of Hospitality & Leisure Marketing 1, no. 1 (January 1992): 71–75. http://dx.doi.org/10.1080/19368629209511122.

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Gao, Yixing (Lisa), Basak Denizci Guillet, and Peihao Wang. "Effect of Price Change Alert on Perceptions of Hotel Attribute-based Room Pricing (ABP) versus Traditional Room Pricing (TRP)." International Journal of Hospitality Management 92 (January 2021): 102725. http://dx.doi.org/10.1016/j.ijhm.2020.102725.

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Dwiyanto, Titis, M. Fauzie Siswato, and Hrc Priyosulistyo. "PENGARUH BIAYA LIFE CYCLE COST PADA HARGA SEWA KAMAR BUDGET HOTEL DI KOTA YOGYAKARTA (Studi Kasus Hotel Musafira, Hotel Asana Grove, dan Hotel Nagari)." INERSIA: lNformasi dan Ekspose hasil Riset teknik SIpil dan Arsitektur 16, no. 1 (April 23, 2020): 49–63. http://dx.doi.org/10.21831/inersia.v16i1.31315.

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ABSTRAK Persaingan pasar yang terjadi menyebabkan harga sewa yang ditentukan oleh budget hotel kepada konsumen terbilang rendah. Dengan anggapan bahwa lahan hotel tersebut merupakan lahan sewa, penentuan harga sewa kamar menjadi salah satu keputusan penting karena harga yang ditawarkan harus bisa menutup semua biaya yang dikeluarkan. Kajian ini dilakukan dengan metode wawancara dan analisis data sekunder untuk mendapatkan biaya keseluruhan dari awal hotel dan diprediksi sampai periode 25 tahun dengan metode Future Worth Method, Simple Payback Method dan Discounted Payback Method untuk menentukan harga pokok produksi. Hasil kajian menunjukkan bahwa harga pokok produksi sewa hotel dengan penghitungan life cycle cost lebih tinggi rata - rata 13.31% jika dibandingkan dengan harga sewa kamar hotel yang ditawarkan, oleh karena itu target tingkat hunian hotel per tahun harus ditingkatkan rata – rata sebesar 12.59% untuk menutup selisih kekurangan biaya life cycle cost bangunan budget hotel jika ingin tetap mempertahankan harga sewa yang ditawarkan saat ini. Kata kunci: budget hotel, life cycle cost, harga sewa kamar ABSTRACTDue to market competition among budget hotel managements the room rate may have gone below rational basis. Assuming that the rent of land area used by the hotel was considered, the price of the room rate may become a significant and important decision, since such a cost shall be able to cope the overall cost including cost of building construction as well as operational and maintenance cost. This research was conducted by interview and by analyzing the secondary data, collected from three budget hotels. The overall cost including planning, designing, construction and maintenance for life period of 25 years was analyzed using Future Worth Method, Simple Payback Method, and Discounted Payback Method in determining the basic production cost. This research concludes that the basic production cost, where life cycle cost is considered, is 13,31% higher than that average room rate as being offered. Therefore, targeted occupancy of the room in the coming years shall be increased by 12,59%, if available room rate is maintained the same.Keywords: budget hotel, life cycle cost, room rate

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Hu, Tao, and Haoyu Song. "Analysis of Influencing Factors and Distribution Simulation of Budget Hotel Room Pricing Based on Big Data and Machine Learning from a Spatial Perspective." Sustainability 15, no. 1 (December 29, 2022): 617. http://dx.doi.org/10.3390/su15010617.

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The goal of investors in the hotel business is to maximize profits, and the price is an important means of achieving this goal. This has attracted many scholars to study the spatiotemporal relationship between hotel room prices and their possible influencing factors from different perspectives. However, most existing studies adopt the linear assumption of the hedonic model, with limited features and a lack of feature selection procedures. Additionally, there are few forecasts of hotel pricing from a spatial perspective. To overcome these gaps, this study adopts linear and nonlinear machine learning methods based on the “big data” of Sanya City to explore the influencing factors of budget hotel pricing. Based on the spatial perspective, 81 potential factors were considered. They are further selected using a feature extraction model called recursive feature elimination. Six machine-learning algorithms were evaluated and compared: random forest, extreme gradient boosting, multi-linear regression, support vector regression, multilayer perceptron regression, and K-nearest neighbor regression. The optimal value was used to further calculate the feature importance. They disclosed 40 important impact characteristics and predicted the spatial distribution of hotel pricing.

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Lee, Chew Ging. "Are we explaining the movement of hotel room rates correctly?" Tourism 68, no. 1 (2020): 21–33. http://dx.doi.org/10.37741/t.68.1.2.

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Demand function, inverse demand function or market equilibrium condition has been used to estimate the empirical models that explain the movement of hotel room rates. However, hotels generally face excess supply of rooms. This research paper develops a simple theoretical model to link hotel room rates to excess supply of hotel rooms. The annual data of Singapore from 1991 to 2017 is used to test this framework. Due to small sample size, with only 27 observations, the bounds testing approach to cointegration is applied on the annual data of hotel industry in Singapore because the obtained estimators are super-consistent. It is found that average hotel room rate and average hotel occupancy rate are cointegrated to confirm hotel room rates and excess supply of hotel rooms are inversely correlated. In order to avoid model mis-specification, major crises are captured by dummy variables which are treated as fixed regressors in the bounds testing approach to cointegration. The empirical and theoretical frameworks used in this study suggest that when hotel occupancy rate is used as an independent variable in modelling the determination of hotel room rates, a researcher is adopting excess supply framework developed in this paper. Furthermore, this framework teaches students in tourism a simplified way to explain the movement of hotel room rates, while still reminding students about the complexity of hotel industry.

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Chen, ChihChien, and Zvi Schwartz. "Room Rate Patterns and Customers' Propensity To Book a Hotel Room." Journal of Hospitality & Tourism Research 32, no. 3 (April 29, 2008): 287–306. http://dx.doi.org/10.1177/1096348008317389.

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Riasi, Arash, Zvi Schwartz, Xuan Liu, and Songzi Li. "Revenue Management and Length-of-Stay-Based Room Pricing." Cornell Hospitality Quarterly 58, no. 4 (April 21, 2017): 393–99. http://dx.doi.org/10.1177/1938965517704372.

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From a theoretical perspective, it is unclear whether hotels should offer a discount to customers who stay for longer periods, while it is rather clear that customers feel entitled to such length-of-stay (LOS)-based discounts. Accordingly, the major theoretical contribution of this study is to provide empirical evidence of hotels’ LOS-based pricing practices. The findings revealed that on average, hotels charge more per night when the guests stay longer. The finding that hotels increase their room rates as LOS increases, suggests that hotel revenue managers may want to address the customers’ misinformed expectations of getting lower prices for longer LOS and/or devise pricing or communication strategies to deal with it.

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Israeli, Aviad A., and Natan Uriely. "The Impact of Star Ratings and Corporate Affiliation on Hotel Room Prices in Israel." Tourism and Hospitality Research 2, no. 1 (April 2000): 27–36. http://dx.doi.org/10.1177/146735840000200107.

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The purpose of this paper is to investigate the pricing decisions of hotels in an effort to ascertain whether corporate affiliation and stars influence hotels' pricing decisions. The findings suggest that high-quality (ie four- and five-star) hotels tend to be affiliated with chains and signal this affiliation using a naming strategy. In addition, the industry-based star rating system explains a large part of the price variation. The impact of corporate affiliation, modelled as the size of the corporation, has a relatively smaller, but overall positive, impact on price. An investigation of different locations reveals that the intensity of corporate affiliation, and specific characteristics of the consumers' market in each location are also significant in explaining the hotels' pricing decisions.

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Erdem, Mehmet, Hilmi A. Atadil, and Pelin Nasoz. "Leveraging guest-room technology: a tale of two guest profiles." Journal of Hospitality and Tourism Technology 10, no. 3 (September 17, 2019): 255–68. http://dx.doi.org/10.1108/jhtt-06-2018-0046.

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Purpose The purpose of this study is to examine hotel guests’ attitudes toward guest room technologies (GRTs) and determine whether hotel guests’ characteristics and attitudes regarding GRTs vary according to hotel guest typologies. Design/methodology/approach The data were gathered from a sample of 508 hotel guests who had stayed in a hotel in the past 12 months via a self-administered survey on Qualtrics survey software. The analysis of the study consisted of two main research steps: identification of cluster groups via the K-means cluster analysis algorithm and discriminant analysis; and performing a series of chi-square analyses to determine whether hotel guests’ characteristics and attitudes vary according to obtained hotel guest typologies. Findings Results indicated significant attitudinal (e.g. internet payment preference) and demographic (e.g. age) differences among the obtained hotel guest typologies regarding their attitudes toward GRTs. Practical implications The results provide valuable guidance and a pragmatic approach for those hotel managers that aim to generate tailored marketing strategies for guest segments that are interested in GRTs. Originality/value This study concentrates on GRTs with a market segmentation approach by using advanced statistical procedures. It contributes to the body of related research literature by offering empirical evidence where the study evaluates the impact of the availability of new GRTs on guest decision-making based on the principles of the theory of planned behavior. Practitioners will be able to use the presented findings to generate marketing and pricing strategies with respect to the technological needs and wants of each typology.

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Zebua, Mira Trifanni, Daulat Sihombing, and Melanthon Rumapea. "ANALISIS INFORMASI AKUNTANSI PENUH DALAM PENENTUAN TARIF KAMAR GUNA MENDUKUNG PENCAPAIAN TARGET LABA PADA GARUDA PLAZA HOTEL MEDAN." Majalah Ilmiah METHODA 10, no. 2 (August 31, 2020): 94–107. http://dx.doi.org/10.46880/methoda.vol10no2.pp94-107.

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This research was conducted to find out whether there is an accounting information system that is suitable with room rates are effective or not in supporting the achievement of profit targets as well as the method of selecting room selling prices at Garuda Plaza Hotel Medan. The form of research used in this research is descriptive research by obtaining qualitative, while data collection techniques are based on interviews, documentation, and literature. The data analysis technique used is descriptive data analysis by describing and interpreting data obtained from the field and interviews with the Accounting, Internal Control, and HRD sections. Data obtained from interviews and documents are collected, compiled, interpreted, and analyzed so as to provide complete information to solve problems that require. The results of this study indicate the facts about complete accounting information in the process of determining the selling price of room rates at Garuda Plaza Hotel Medan. In calculating the full accounting of Garuda Plaza Hotel using the cost plus pricing method, the full costing approach. In the cost plus pricing method the full costing approach shows diffrences in calculation. The difference lies in the estimated full costs, calculation of expected earnings, mark up calculations and selling price calculations. Hotels have a special method of determining rates.

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Zebua, Mira, Daulat Sihombing, and Melanthon Rumapea. "Analisis Informasi Akuntansi Penuh Dalam Penentuan Tarif Kamar Guna Mendukung Pencapaian Target Laba Pada Garuda Plaza Hotel Medan." Majalah Ilmiah METHODA 10, no. 2 (August 31, 2020): 94–107. http://dx.doi.org/10.46880/methoda.v10i2.544.

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This research was conducted to find out whether there is an accounting information system that is suitable for room rates are effective or not in supporting the achievement of profit targets as well as the method of selecting room selling prices at Garuda Plaza Hotel Medan. The form of research used in this research is descriptive research by obtaining qualitative, while data collection techniques are based on interviews, documentation, and literature. The data analysis technique used is descriptive data analysis by describing and interpreting data obtained from the field and interviews with the Accounting, Internal Control, and HRD sections. Data obtained from interviews and documents are collected, compiled, interpreted, and analyzed so as to provide complete information to solve problems that require. The results of this study indicate the facts about complete accounting information in the process of determining the selling price of room rates at Garuda Plaza Hotel Medan. In calculating the full accounting of Garuda Plaza Hotel using the cost-plus pricing method, the full costing approach. In the cost-plus pricing method, the full costing approach shows differences in the calculation. The difference lies in the estimated full costs, calculation of expected earnings, mark-up calculations, and selling price calculations. Hotels have a special method of determining rates.

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Kuminoff, Nicolai V., Congwen Zhang, and Jeta Rudi. "Are Travelers Willing to Pay a Premium to Stay at a “Green” Hotel? Evidence from an Internal Meta-Analysis of Hedonic Price Premia." Agricultural and Resource Economics Review 39, no. 3 (October 2010): 468–84. http://dx.doi.org/10.1017/s1068280500007450.

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A growing number of hotels provide “green” lodging for travelers with strong environmental preferences. Twelve states have developed certification programs to regulate these claims. After describing the new market for green lodging, we use data on prices and amenities of “green” and “brown” hotels in Virginia to estimate a hedonic model of hotel room pricing. We find that travelers can expect to pay a significant premium for a standard room in a green hotel. An internal meta-analysis is used to evaluate the robustness of this result to subjective econometric modeling decisions. Our results indicate a premium between $9 and $26.

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BİLİCİ, Özgül, and Elif KARAAHMETOĞLU. "Using the Hedonic Price Model to Examine the Impact of Location on Room Rates in the East Black Sea Region (TR9)." Akademik Araştırmalar ve Çalışmalar Dergisi (AKAD) 14, no. 27 (November 29, 2022): 435–52. http://dx.doi.org/10.20990/kilisiibfakademik.1169807.

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Despite the destructive impact of the Covid-19 Pandemic, tourism is one of the Turkey’s dynamic and fastest growing sectors. In recent years, the sector started to attract visitors for alternative forms of tourism such as sports, health and nature tourism. Lately, the East Black Sea Region (TR9) is preferred by outdoor sports and nature enthusiasts. The constant growth in tourist arrivals and overnights have increased both supply and demand for tourist accommodation which is considered as a differentiated product in terms of pricing. There is a variety of attributes or 'characteristics' on the rates charged for hotel rooms. To this end, this study aims to seek the attributes that influence the overall prices of tourism facilities using hedonic price methods. The particular impact of location on room rates is investigated. The results show that star category, hotel and room size, parking, beach, and Arabic speaking staff are significantly associated with room rates. Moreover, tourists are willing to pay more for accommodations that are close to the airport and visiting sites which are mostly located in highlands in the region. Therefore, the location of accommodation establishments in the region explains the price differences in terms of accessibility and site selection. The results would be useful for hotel managers and local policy-makers in order for design their pricing policies to attract more tourists to the region.

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Appau, Williams, Samson Akanvose Aziabah, and Elvis Attakora-Amaniampong. "Examining the Determinants of Location Attributes and their Effect on Hotel Pricing in the Period of the Covid-19 Pandemic in an Emerging Market." African Journal of Hospitality and Tourism Management 3, no. 2 (May 30, 2022): 23–39. http://dx.doi.org/10.47963/ajhtm.v3i2.528.

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The emergence of COVID-19 and the consequent travel restrictions have led to a decrease in the patronage of hotel services in nearly all economies in the world. In this circumstance, location attributes have become even more important in hotel pricing and investment decision-making. It is even more interesting to see how this plays out in emerging economies such as Ghana. The study assesses the effect of location attributes on hotel pricing during the COVID-19 pandemic period in Tamale. A sequential mixed research design including Mixed Spatial Hedonic Price Approach, Exploratory Factor Analysis and key informant interviews was employed. A sample of 815 tourists and 163 hotels was used. Hotel class, road accessibility, age of building, and hotel rate are the key determinants of hotel pricing. Among these, the hotel class showed more significance in influencing pricing decisions in the COVID-19 period. The models show that the hotel class with positive coefficients are located outside the city centre of Tamale. This has resulted in increased Yield To Maturity because the hotels located outside the city centre received more clients, with grade one hotels showing a huge net income and good post-COVID-19 investment drive. The results show that potential hotel investors should consider hotel class as a major entry decision factor during and after periods of the pandemic.

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Chattopadhyay, Manojit, and Subrata Kumar Mitra. "What Airbnb Host Listings Influence Peer-to-Peer Tourist Accommodation Price?" Journal of Hospitality & Tourism Research 44, no. 4 (March 14, 2020): 597–623. http://dx.doi.org/10.1177/1096348020910211.

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Recognizing that the pricing strategy of the newly emerging online shared accommodation industry would be different from that of the traditional hotel industry, this study attempted to identify the variables that are the main determinants of the peer-to-peer tourist accommodation price. Using a data set of Airbnb accommodation listings for Toronto, the study established a relationship between room pricing and various listing variables and identified a reduced number of listing attributes that influence the room price significantly. Focusing on a reduced number of important variables, Airbnb hosts can not only increase average profit but would also give tourists a better rental experience. Along with traditional multiple regressions approach, the study also applied two different approaches and found that the analysis of hedonic pricing using nonlinear and nonparametric approaches is quite promising.

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Sánchez-Lozano, Gloria, Luis Nobre Pereira, and Esther Chávez-Miranda. "Big data hedonic pricing: Econometric insights into room rates’ determinants by hotel category." Tourism Management 85 (August 2021): 104308. http://dx.doi.org/10.1016/j.tourman.2021.104308.

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Suardana, Wayan, Muhadjir Suni, and Masri Ridwan. "The Influence of Room Prices and Promotion Costs on Hotel Room Occupancy Rates in Palopo City, South Sulawesi." Jurnal Ad'ministrare 6, no. 2 (February 4, 2020): 123. http://dx.doi.org/10.26858/ja.v6i2.12081.

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Hotel competition in South Sulawesi Province in 2018 has increased. This study aims to: determine the price of hotel rooms in the city of Palopo, South Sulawesi Province, find out how the cost of hotel promotions in the City of Palopo, South Sulawesi Province, find out whether the room price and promotion costs have a significantly positive effect on hotel room occupancy rates in Palopo City, South Sulawesi Province. This type of research is descriptive quantitative research. Data collection techniques used are the method of observation, documentation techniques and questionnaires. The results showed that of 17 Hotels / Pensions / Villas in Palopo City, South Sulawesi Province, the room occupancy rate was on average 27%. Promotion fee is Rp. 17,368, - per room. Of the two regression coefficients possessed by the two independent variables, the two independent variables (X1) namely room price and promotion costs (X2) have a significant positive effect on the occupancy rate of the room (Y).

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Mohammed, Ibrahim, Basak Denizci Guillet, and Rob Law. "Modeling dynamic price dispersion of hotel rooms in a spatially agglomerated tourism city for weekend and midweek stays." Tourism Economics 25, no. 8 (February 3, 2019): 1245–64. http://dx.doi.org/10.1177/1354816619826829.

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In spite of the abundant evidence suggesting the existence of spatial agglomeration in the hotel industry and the potential for spatial econometric methods to contribute to the understanding on the effect of spatial competition on room pricing, limited research has been conducted in this regard. To contribute to this area of research, this study applied spatial models to examine online pricing data of hotels in Hong Kong to determine the effect of spatial agglomeration on dynamic or intertemporal price dispersion. The findings revealed that the magnitude of dynamic price dispersion is not only influenced by demand but also the pricing of neighboring hotels and hotel-specific attributes, such as number of rooms, star rating, chain affiliation, and scale. A major implication of this finding is that real-time tracking and analysis of neighboring hotels’ prices could be an effective strategy to stay competitive in a spatially agglomerated environment.

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Gallagher, Bram, and Jack Corgel. "Natural Occupancy Shifts in Hotel Markets." Cornell Hospitality Quarterly 59, no. 4 (March 21, 2018): 352–63. http://dx.doi.org/10.1177/1938965518762837.

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The natural occupancy rate underpins room price adjustment models for hotel market evaluations; however, models that assume that this rate is time invariant and everywhere constant may introduce error when forecasting future real room rates and benchmarking market strength. We use monthly STR room rate and occupancy data for five large U.S. metropolitan hotel markets to estimate natural occupancy differences in time and across markets. The notion of a time-varying natural occupancy aligns with changing market equilibrium. When aggregating over the entire sample, long-run average occupancy is reasonably good approximation of estimated constant natural occupancy. We use a Markov switching model to determine the likely equilibrium occupancy for unique periods in time, and these results inform Tse and Fischer’s model to estimate time- and market-specific natural occupancy. Using the estimated natural occupancy rates for prevailing market regimes produces better fitting predictions than either constant natural occupancy or long-run average occupancy. Accordingly, they are most appropriate for practical applications.

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Harahap, Zulkifli. "PENERAPAN METODE PERAMALAN RUNTUT WAKTU DALAM MENENTUKAN TARGET TINGKAT HUNI KAMAR DI HOTEL EL CAVANA BANDUNG." Tourism Scientific Journal 2, no. 1 (January 30, 2017): 27. http://dx.doi.org/10.32659/tsj.v2i1.16.

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Sebagai sebuah bentuk usaha komersil, tentunya hotel berusaha mendapatkan pendapatan yang sebesar-besarnya. Pada usaha akomodasi seperti hotel, pendapatan yang diterima umumnya berasal dari 3 departemen, yaitu:Rooms Department, Food and Beverage Department, dan Minor Operating Department , seperti: Telephone, Business Centre, Leisure Activities, Spa dan lain sebagainya. Kamar sebagai core product dari sebuah hotel dimana dalam menentukan besar kecilnya tingkat pendapatan yang diterima dari Room Department, dapat dilihat dari pendekatan Occupancy Rate, Average Room Rate, serta REVPAR (Revenue per Available Room). Pada setiap hotel secara umumnya, Rooms Department menyumbang pendapatan yang sedemikian besar bagi pendapatan hotel secara keseluruhan.Demikian juga khususnya bagi pihak manajemen Hotel EL Cavana Bandung. Dalam mengukur pendapatan tersebut, terlebih dahulu kita dapat melihat melalui seberapa besar jumlah kamar yang terjual dalam suatu periode waktu tertentu. Untuk mencermati keberhasilan penerapan forecast yang telah dibuat sebelumnya terhadap besar aktual yang dicapai, sederhananya kita dapatmelihat sejauh mana besar perbedaan dari masing-masing variabel tersebut, atau yang biasa disebut varian (variance).

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Kim, Jungkeun, Drew Franklin, Megan Phillips, and Euejung Hwang. "Online Travel Agency Price Presentation: Examining the Influence of Price Dispersion on Travelers’ Hotel Preference." Journal of Travel Research 59, no. 4 (June 28, 2019): 704–21. http://dx.doi.org/10.1177/0047287519857159.

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This research investigates the impact of different degrees of price dispersion on travelers’ hotel choice. More specifically, within an online travel agency (OTA) context, we examine the effect of wide (vs. narrow) price dispersion on hotel preference. In addition, we suggest two boundary conditions for this effect: salience of external regular price and perception of destination uncertainty. Across multiple studies, our results show that travelers prefer a hotel option featuring wide price dominance dispersion. Additionally, both the presence of an external regular price and the level of uncertainty associated with the hotel destination act as moderating influences. This work represents an emerging direction in the online price dispersion literature, namely, exploring the consequences of online price dispersion. In practice, by understanding the influence of price dispersion on consumer choice, OTAs can develop more effective pricing strategies in partnership with their hotel room suppliers.

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Ariantha, Wayan Suyasa, I. Gusti Agung Gede Witarsana, and Ni Made Suastini. "Pengaruh Average Daily Rate dan Nilai Tukar Mata Uang terhadap Revenue Per Available Room di Hotel XYZ." Jurnal Bisnis Hospitaliti 10, no. 1 (June 25, 2021): 23–27. http://dx.doi.org/10.52352/jbh.v10i1.477.

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Revenue Per Available Room (RevPAR) at Hotel XYZ has decreased since 2017 to 2019. Hotel XYZ applied Best Average Daily Rate (ADR) to increase the income without reducing the guest satisfaction. This ADR used USD nominal, so the currency exchange rate (dollar to rupiah) will have an effect on RevPAR that should be reported by using rupiah nominal. There was a phenomenon that the increase of ADR and the currency exchange rates were not followed by the increase of RevPAR at Hotel XYZ in 2017 until 2019. The purpose of this research was to analyze the effect of Average Daily Rate (ADR) and the currency exchange rate on Revenue Per Available Room (RevPAR) at Hotel XYZ. This research was a quantitative research and used multiple linier regression analysis techniques, t-test, F test and coefficient of determination test by using SPSS version 23.0 program. In determining the sample of this study, non-probability sampling method was used. The sample used in this study is data from the last 3 years, 2017, 2018, and 2019. The result of the study showed that Average Daily Rate (X1) and the currency exchange rate (X2) had a significant effect on Revenue Per Available Room (Y) at Hotel XYZ, both partially or simultaneously.

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Akın, Adnan. "Otel İşletmelerinde Oda Fiyatlama Yöntemlerinin Tespiti (Determination of Room Pricing Methods in Hotel Businesses)." Journal of Tourism and Gastronomy Studies 8, no. 3 (September 30, 2020): 1993–2012. http://dx.doi.org/10.21325/jotags.2020.645.

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Journal articles on the topic 'Hotel Room Rate Pricing'

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