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Journal articles on the topic 'Hotel Room Rate Pricing'

Author: Grafiati

Published: 10 December 2022

Last updated: 31 July 2025

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1

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 (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 at

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Lysenko, Olena. "Development and Pricing Strategies of Hilton Hotel Chain." Restaurant and hotel consulting. Innovations 8, no. 1 (2025): 44–56. https://doi.org/10.31866/2616-7468.8.1.2025.334823.

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Topicality. The article is devoted to the development of the global Hilton hotel chain (using the example of New York Hilton Midtown and Hilton Kyiv), its history, as well as work principles formulated by Conrad Hilton. Aim and methods. The aim of the article is to analyse pricing strategies of the leading worldwide hotel chain Hilton and to study whether these strategies are predictive or whether the chain’s hotels use non-price factors in forming hotel room prices. For this purpose, to the time series of hotel room prices, the method of constructing prognostic regression mathematical models

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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 (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 an

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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 (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

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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 (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

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Uden, Lorna, and Suppanunta Romprasert. "A hedonic approach to study willingness to pay for certified green hotel by customers in Thailand." Smart Tourism 6, no. 1 (2025): 2852. https://doi.org/10.54517/st2852.

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<p>Green hotels are becoming increasingly popular as more and more people become conscious of the impact of their travel on the environment. There are several certifications known as Green Building Certificates<strong> </strong>given to hotels all over the world to encourage them to move towards eco-friendly attitude. Having a certification is often considered as a marketing tool. These certifications are often internationally known. Although green hotel has been gaining in popularity by both hotel business and tourist demand in Thailand, there is limited information whether

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Ifeanyi Kingsley Egbuna. "Financial analysis and performance review of ATLIQ Hotels: Strategic expansion perspectives." World Journal of Advanced Research and Reviews 27, no. 1 (2025): 823–35. https://doi.org/10.30574/wjarr.2025.27.1.2528.

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ATLIQ Hotels, being one of the upscale hotel chains with hotels in major Indian cities, embarked on data-driven innovation with an aim to enhance its marketing and operational strategy. This capstone project integrates high-value transactional data and interactive Power BI reports to disclose action-oriented insights for the months May to July 2022. From a combination of hotel reservations, room categories, finances, and customer reviews, the project offers an integrated depiction of ATLIQ's day-to-day performance environment. Five key datasets of hotel facilities, room categories, guest actio

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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 (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 literatu

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Satpute, Pratik, and Gautam Surendra Bapat. "The curious case of Hotel King’s Cross." Emerald Emerging Markets Case Studies 14, no. 1 (2024): 1–14. http://dx.doi.org/10.1108/eemcs-05-2023-0188.

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Learning outcomes The learning outcomes of this study are to recall the fundamental concept of revenue management in the hotel industry (remembering); explain the various performance measures used to evaluate room revenue in hotels (understanding); use revenue management strategies to improve room revenue in hotel operations (applying); and examine and evaluate the optimal solution for revenue enhancement, considering factors such as capacity management, duration control and differential pricing (analyzing). Case overview/synopsis This case study delves into the challenges faced by Hotel King’

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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 (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 lod

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Besoni, Berlyan, and Sudarso Kaderi Wiryono. "Financial Feasibility and Risk Analysis of a 4-Star Hotel Development at PT Bukit Asam’s Wisma Ombilin." Jurnal Ilmiah Manajemen Kesatuan 13, no. 4 (2025): 2155–70. https://doi.org/10.37641/jimkes.v13i4.3364.

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This study proposes transforming PT Bukit Asam’s underutilized Wisma Ombilin land into a modern 4-star hotel to diversify revenue, reduce coal dependency, and align with sustainability goals. Located in Padang City, the project aims to boost economic value, create jobs, and support local growth. Combining qualitative and quantitative methods, the research analyzes Padang’s hotel market, financial feasibility, and project risks. Market analysis reveals strong demand for 4-star hotels, with post-pandemic occupancy rates and room prices surpassing pre-pandemic levels. Financial modeling estimates

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Ni Made Dwi Yulianti, I Ketut Budarma, and Gede Ginaya. "Utilizing Static Pricing to Boost Room Revenue in Archipelago International Indonesia Hotels Group." International Journal of Travel, Hospitality and Events 3, no. 3 (2024): 242–54. http://dx.doi.org/10.56743/ijothe.v3i3.423.

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Purpose: This research examines the implementation of static rates to increase room revenue at Archipelago International Indonesia Hotels Group. While the majority of Archipelago International management considers that dynamic rates are more effective at increasing room revenue, the impact of global economic events such as the Covid-19 pandemic, wars, and earthquakes (force majeure) has been underestimated. Static rates can be used to respond to economic downturns induced by these occurrences, which reduce demand. Research methods: This research uses qualitative research methodologies to asses

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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 (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 indic

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Gatera, Anthony. "Role of Artificial Intelligence in Revenue Management and Pricing Strategies in Hotels." Journal of Modern Hospitality 3, no. 2 (2024): 14–25. http://dx.doi.org/10.47941/jmh.1957.

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Purpose: The general objective of the study was to investigate the role of Artificial Intelligence in revenue management and pricing strategies in hotels. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published stud

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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 (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 instr

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Mazaraki, Anatolii, Mariia Kulyk, and Tetiana Zubko. "REVENUE FORECASTING SCENARIOS FOR INTERNATIONAL HOTEL CHAINS." Baltic Journal of Economic Studies 10, no. 3 (2024): 207–14. http://dx.doi.org/10.30525/2256-0742/2024-10-3-207-214.

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The purpose of the study is to develop a system of balanced scorecards for forecasting the income of hotels belonging to international chains. The subject of the study is the system processes of evaluating the effectiveness of the management analysis system, which are determined on the basis of calculating key performance indicators, and as a result of the integral indicator through the analysis and aggregation of individual functional criteria based on comparison with the reference values of the revenue management model for pricing, load planning and its redistribution between revenue centres

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Anly, Syaban Nurul Hadi, and Novani Santi. "Selecting the Best Alternatives of Virtual Hotel Operator Using SMART Analysis: A Case of CBS Hotel." International Journal of Current Science Research and Review 08, no. 05 (2025): 2637–49. https://doi.org/10.5281/zenodo.15558440.

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Abstract : This study investigates the strategic decision faced by CBS Hotel in 2024, following the decline in revenue in 2024, despite stable occupancy rates. The decline was not caused by reduced demand, but rather by centralized pricing policies, and internal competition from an increasing number of properties managed by the same Virtual Hotel Operator (VHO). The purpose of the research is to analyze the root causes of the performance decline and evaluate whether the CBS Hotel should renew its partnership with RedDoorz or switch to OYO or Zuzu. The research employs a two-stage methodology,

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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 (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 (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 Sta

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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

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Chen, Yi-Fen, Tzu-Ting Pang, and Boedi Hartadi Kuslina. "The Effect of Price Discrimination on Fairness Perception and Online Hotel Reservation Intention." Journal of Theoretical and Applied Electronic Commerce Research 18, no. 3 (2023): 1320–37. http://dx.doi.org/10.3390/jtaer18030067.

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In light of the development of online travel agencies (OTAs), the rules of the entire tourism industry have changed. Due to the ease of finding information and comparing products, consumers can choose a hotel not only by room type, but also by rate, according to their preferences. The purpose of this study was to explore the effect of price discrimination on the fairness perception toward reservation intentions. The interaction effects of the brand familiarity and the type of consumers on the fairness perception were also examined. The study used an experimental design, with 2 price discrimina

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Hayatun Nufus. "Bisnis Penginapan Berbasis Syariah Perspektif Hukum Ekonomi Islam." Istidlal: Jurnal Ekonomi dan Hukum Islam 6, no. 2 (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 resea

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Junard, S. Carreon, and L. Tapaya Jr Teofilo. "The Effect of Typhoon Urduja to the Tourism Development of the Municipality of Naval." International Journal of Innovative Science and Research Technology 8, no. 1 (2023): 1726–31. https://doi.org/10.5281/zenodo.7623761.

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The study aims to determine the effect of typhoon Urduja in the Municipality of Naval based profile, damages, and factors to slow tourism development. The study was conducted to identify the situations of the Municipality of Naval after the typhoon. The study applied the descriptive-survey research design, which is appropriate and relevant to the study’s objectives, which shows the actual portrayal of the characteristics of a particular situation. The main subject of this study involved was the employees of the room’s accommodation facilities and restaurants as they know the effect

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Cahyani, Ni Putu Evi Yuli, I. Ketut Astawa, and Ni Nyoman Triyuni. "Increasing Room Occupancy and Room Revenue through Price Decision Strategy." International Journal of Glocal Tourism 1, no. 1 (2021): 1–12. http://dx.doi.org/10.58982/injogt.v1i1.12.

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Purpose: The purpose of this article is to find out the pricing strategy implemented currently and the strategy should be implemented to increase room occupancy and room revenue at 5 star hotel in Kuta tourist area, Bali, Indonesia. Research methods: The data analysis techniques used in this research are quantitative analysis technique, analyzed using path analysis in SPSS Program version 25 and the qualitative descriptive analysis to interpret data information through word based on the result and the real situation. Findings: The pricing strategies implemented currently at the hot

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Castro, Conceição, Fernanda A. Ferreira, and Flávio Ferreira. "Trends in hotel pricing." Worldwide Hospitality and Tourism Themes 8, no. 6 (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 dif

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Gao, Jing. "Optimizing hotel revenue management through dynamic pricing algorithms and data analysis." Journal of Computational Methods in Sciences and Engineering 25, no. 2 (2024): 1200–1209. https://doi.org/10.1177/14727978241298467.

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Dynamic pricing is a hotel approach that adjusts room pricing each week or even daily based on real-time marketplace circumstances, consider, and insist. This adaptive pricing strategy maximizes the hotel’s revenue potential. This study aims to optimize hotel revenue management through dynamic pricing algorithms and data analysis models, analyze factors to regulate room prices dynamically, and maximize revenue based on insisting and marketplace environment. The Kaggle hotel expenses dataset provides an inclusive advance to consider the impact of variables on online room pricing. The dataset in

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Hidayati, Sadila, Jiwangga Hadi Nata, Dian Yulie Reindrawati, and Mohammad Nurul Huda. "The Influence of Dynamic Pricing in Enhancing Room Occupancy and Room Revenue in Bintan Island Resort." TIJAB (The International Journal of Applied Business) 9, no. 1 (2025): 38–50. https://doi.org/10.20473/tijab.v9.i1.2025.58812.

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Background: Dynamic demand-based pricing has increasingly been adopted by capacity-constrained businesses such as hotels. This strategy is deemed highly profitable for both service providers and guests. Resorts on Bintan Island have implemented dynamic pricing by analyzing specific dates and times when occupancy is expected to peak. Objective: This research aims to analyze the impact of dynamic pricing on hotel reservations and revenue, focusing on its effect on increasing room occupancy and revenue. Method: The study utilizes descriptive quantitative research methods, relying on primary data

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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 (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

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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 (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

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Kumar, Ayush. "Design Analysis Approach for Hotel Booking Cancellation Prediction." International Journal for Research in Applied Science and Engineering Technology 11, no. 6 (2023): 824–28. http://dx.doi.org/10.22214/ijraset.2023.53770.

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Abstract: Hotel managers find it beneficial to predict hotel booking cancellations as it enables them to enhance room inventory management, pricing strategies, and customer satisfaction by proactively addressing potential problems. In this study, we present a machine learning-centered method for forecasting hotel booking cancellations. Overall, our proposed approach will equip hotel managers with a robust tool for predicting hotel booking cancellations and a deeper understanding of the factors influencing them. This, in turn, will enable data- driven decision making to optimize room inventory,

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Eureka, Yunisha, Yorike Dwi Putri, Aditya Warman, and Feri Ferdian. "The Influence of Service Quality and Room Rates on Guest Loyalty at UNP Hotel & Convention Center." Jurnal Pariwisata Nusantara (JUWITA) 2, no. 2 (2023): 103–10. http://dx.doi.org/10.20414/juwita.v2i2.7319.

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Purpose: This study aims to elucidate the profound influence of service quality and room rates on hotel guest loyalty within the context of UNP Hotel & Convention Center. Method: Employing an explanatory research design with a quantitative approach, this study examines the interplay between service quality, room rates, and hotel guest loyalty. The study focuses on a population of repeat guests at UNP Hotel & Convention Center. Data was collected from 50 respondents through purposive sampling using a meticulously designed questionnaire. The collected data was subjected to descriptive an

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Sánchez, Pérez Manuel, Manzano María Dolores Illescas, and Puertas Sergio Martínez. "Modeling hotel room pricing: A multi-country analysis." International Journal of Hospitality Management 79 (January 23, 2025): 89–99. https://doi.org/10.5281/zenodo.14728067.

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In the current tourism landscape, pricing decisions reemerge as a key concern for hoteliers. This study examines the impact of specific factors associated with hotels, customers’ experience, and competition on hotel pricing in different countries. Certain features of market behavior can distort expected prices, such as asymmetric information, differences in hotel categorization, hotels spatial concentration or electronic word-of-mouth (eWOM). In order to understand the determinants of pricing and to obtain a complete characterization of them, the present study applies quantile regression

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Putri, Anggia Dasa, and Tukino Tukino. "Analisis Penentuan Harga Kamar Hotel Dengan Fuzzy Logic Metode Sugeno Berdasarkan Kebutuhan Pelanggan Di Kota Batam." Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK) 5 (September 28, 2023): 263–73. http://dx.doi.org/10.33884/psnistek.v5i.8094.

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Determining the right hotel room pricing is a critical aspect of hotel management. In Batam City, a popular destination for both tourism and business, adjusting hotel room prices based on customer needs has become increasingly important. This research focuses on the utilization of Fuzzy Logic Sugeno Method to analyze and determine hotel room prices that can be tailored to the preferences and requirements of customers in Batam City. The Sugeno Method is a powerful technique in fuzzy logic that allows for qualitative modeling of customer preferences. This research integrates historical hotel roo

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Modjo, Mohamad-Ikhsan, and Agus-Supriatna Wibowo. "Pricing Strategy for a Smart-Tourist Area: Does Location Matters?" E3S Web of Conferences 426 (2023): 02061. http://dx.doi.org/10.1051/e3sconf/202342602061.

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This study aims to investigate the effect of hotel characteristics, particularly their locations, on room pricing strategy for hotels in the Bogor Area, Indonesia. The author applies the quantile hedonic regression model on a dataset of Bogor Hotels collected through a travel agent’s website. A total of 194 hotels were collected and used as data samples. Our findings suggest that locations near tourist attractions are a significant factor in explaining hotel room prices in the Bogor area, while in contrast, the city center location is not. In addition, we also find that hotel room size and sta

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Zhang, Li, and Guosheng Xie. "Research on Hotel Room Pricing and Cancellation Policy Strategies Based on Consumer Cancellation Behavior." Academic Journal of Management and Social Sciences 7, no. 2 (2024): 94–98. http://dx.doi.org/10.54097/a652tt41.

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Based on the unbooking behavior of consumers, a single-channel supply chain model of a single hotel is constructed, and the room demand of a hotel is constructed by combining the consumer utility theory. The profit and room pricing of hotels with different unbooking strategies are analyzed, as well as the selection of unbooking strategies. Studies have shown that hotel room prices always increase with the increase of cancellation losses. In the strategy of allowing cancellation, the demand of hotel rooms decreases with the increase of cancellation loss. In the policy of not allowing unbooking,

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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 (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 (1989): 40–45. http://dx.doi.org/10.1177/001088048903000113.

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Streviniotis, Errikos, Athina Georgara, Filippo Bistaffa, and Georgios Chalkiadakis. "FairPlay: A Multi-Sided Fair Dynamic Pricing Policy for Hotels." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 20 (2024): 22368–76. http://dx.doi.org/10.1609/aaai.v38i20.30243.

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In recent years, popular touristic destinations face overtourism. Local communities suffer from its consequences in several ways. Among others, overpricing and profiteering harms local societies and economies deeply. In this paper we focus on the problem of determining fair hotel room prices. Specifically, we put forward a dynamic pricing policy where the price of a room depends not only on the demand of the hotel it belongs to but also on the demand of: (i) similar rooms in the area and (ii) their hotels. To this purpose, we model our setting as a cooperative game and exploit an appropriate g

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XAYSONGKHAM, Chendavanh, and Souksamone SENGCHANH. "Analyze Factors Affecting Room Pricing of Accommodation in Luang Prabang Province." Souphanouvong University Journal Multidisciplinary Research and Development 9, no. 1 (2024): 385–94. http://dx.doi.org/10.69692/sujmrd0901374.

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The study of “Analyze Factors Affecting Room Pricing of Accommodation in Luang Prabang Province”. The objectives of the study are the overview Luang Prabang tourism, hotel and guesthouse statistics, in particular to investigate the way which room rates are determined. Data was collected from Agoda website by survey in May 2108. The sample size is 204 hotel and guesthouse that consists of 1,326 observations. Based on Hedonic Pricing Model for estimation and data analyzing for Ordinary Least Square (OLS) by Stata 13. Our result of finding included that there were 643,319 tourists (2016) from dom

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Lvov, Anatoly, and Raija Komppula. "The essence of the hotel room in the hotel business – the hotel managers’ perspective." European Journal of Tourism Research 36 (November 1, 2023): 3609. http://dx.doi.org/10.54055/ejtr.v36i.3158.

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The objective of this study is to gain a better understanding of how hotel management perceives the role of the hotel room from the customers’ perspective and what role the room plays as regards the hotel management business. Previous research has focused on the hotel’s location, the attributes of the hotel and the room, revenue management, pricing, hotel guest experiences, and customer satisfaction. In this study, 19 managers operating in Finland were interviewed: ten hotel managers from 4-5-star hotels and nine from 2-3-star hotels. An inductive approach to the data analysis was adapted and

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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 (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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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 (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 c

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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 (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 perfo

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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 (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 occupan

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Asshofi, Izza Ulumuddin Ahmad, Mutiara Amelia Putri, Rio Dwi Saputra, and Ani Wijayanti. "Analysis of room rates setting in hotel daily operations." Journal of Gastro Tourism 1, no. 1 (2023): 35–42. http://dx.doi.org/10.52465/jogasto.v1i1.127.

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Hotels have a considerable influence in increasing regional tourism and the economy. The hotel itself means a service or service business operated and managed commercially and provided for everyone to receive services, such as rooms, accommodations, food and beverages, and other service facilities. In the tourism industry, especially in the hotel business, there is a term for room sales that has an important role as one of the elements of calculating income in hotels. The purpose of writing articles is to find out the problems that occur in setting room rates, the factors that affect setting r

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Xie, Guosheng, and Li Zhang. "Pricing Decision and Cancellation Strategy Selection of ''Hotel+Online Platform''." Scientific Journal of Economics and Management Research 6, no. 8 (2024): 1–8. http://dx.doi.org/10.54691/58p8ey91.

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Based on the consumer's cancellation behavior, a “Hotel + online platform” dual-channel supply chain model consisting of a single hotel and a single online platform is constructed, based on the theory of consumer utility, this paper constructs the demand for rooms in the supply chain, and analyzes the profit of the hotel side, room pricing and cancellation strategy under the competition-cooperation relationship by using the Stackelberg game model. The research shows that in the hotel's dual-channel supply chain, the selection of unsubscribing strategy for official direct sales channels and onl

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