Relevant bibliographies by topics / Hotel Pricing Dynamics

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Hotel Pricing Dynamics'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 February 2022

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Journal articles on the topic "Hotel Pricing Dynamics"

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Nair, Girish K. "Dynamics of pricing and non-pricing strategies, revenue management performance and competitive advantage in hotel industry." International Journal of Hospitality Management 82 (September 2019): 287–97. http://dx.doi.org/10.1016/j.ijhm.2018.10.007.

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Vaishnav, Tushar, and Levent Altinay. "The franchise partner selection process and implications for India." Worldwide Hospitality and Tourism Themes 1, no. 1 (2009): 52–65. http://dx.doi.org/10.1108/17554210910949887.

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PurposeThe purpose of this paper is to provide insights on the franchise partner recruitment process and decision‐making criteria used to select partners. It aims to investigate the process and parameters considered by franchisees in selecting potential international hotel organizations as partners. The success of such choices influences growth of the firms and consequently affecting industry and economy.Design/methodology/approachIn‐depth semi‐structured interviews with owners, directors, vice presidents and mangers of the franchisee organizations were deployed.FindingsFindings suggest that p
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Gibbs, Chris, Daniel Guttentag, Ulrike Gretzel, Lan Yao, and Jym Morton. "Use of dynamic pricing strategies by Airbnb hosts." International Journal of Contemporary Hospitality Management 30, no. 1 (2018): 2–20. http://dx.doi.org/10.1108/ijchm-09-2016-0540.

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Purpose The purpose of this paper is to provide a comprehensive analysis of dynamic pricing by Airbnb hosts. Design/methodology/approach This study uses attribute and sales information from 39,837 Airbnb listings and hotel data from 1,025 hotels across five markets to test different hypotheses which explore the extent to which Airbnb hosts use dynamic pricing and how their pricing strategies compare to those of hotels. Findings Airbnb is a unique and complex platform in terms of dynamic pricing where hosts make limited use of dynamic pricing strategies, especially as compared to hotels. Notwit
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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 (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
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Hemalatha, S., and S. P. Deepeka. "Revenue Management and Dynamic Pricing Practices at the Gateway Hotel, Chennai." Bonfring International Journal of Industrial Engineering and Management Science 6, no. 3 (2016): 63–66. http://dx.doi.org/10.9756/bijiems.8142.

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Vives, Aldric, and Marta Jacob. "Dynamic pricing for online hotel demand: The case of resort hotels in Majorca." Journal of Vacation Marketing 26, no. 2 (2019): 268–83. http://dx.doi.org/10.1177/1356766719867377.

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Online customer behavior in terms of price elasticity of demand and the effect of time along the booking horizon are key requirements for the price optimization process that allows hotels to maximize their revenues. In this vein, this study adapts the online transient hotel demand functions to deterministic and stochastic dynamic models—two extended optimal pricing methods existing in the literature—in order to determine the prices that maximize the revenues of two resort hotels located in Majorca. The main findings indicate that (1) seasonality, the number of rooms available, the hotel locati
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Bandalouski, Andrei M., Natalja G. Egorova, Mikhail Y. Kovalyov, Erwin Pesch, and S. Armagan Tarim. "Dynamic pricing with demand disaggregation for hotel revenue management." Journal of Heuristics 27, no. 5 (2021): 869–85. http://dx.doi.org/10.1007/s10732-021-09480-2.

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AbstractIn this paper we present a novel approach to the dynamic pricing problem for hotel businesses. It includes disaggregation of the demand into several categories, forecasting, elastic demand simulation, and a mathematical programming model with concave quadratic objective function and linear constraints for dynamic price optimization. The approach is computationally efficient and easy to implement. In computer experiments with a hotel data set, the hotel revenue is increased by about 6% on average in comparison with the actual revenue gained in a past period, where the fixed price policy
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Макаренко, Зоя, Zoya Makarenko, Юлия Жилкова, Yuliya Zhilkova, Лилия Насырова, and Liliya Nasyrova. "Strategy of a hotel enterprise: Aspects of formation under modern conditions." Services in Russia and abroad 10, no. 4 (2016): 3–15. http://dx.doi.org/10.12737/20178.

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The article deals with the question of the hotel services competitiveness and the impact of external factors on the formation of the hotel enterprises strategy. Despite the economic crisis, sanctions and anti-sanctions the hotel market still remains highly competitive. Today, however, supply exceeds demand, so in the foreseeable future it is not clear how the market will correct it. Under these conditions, hotels in Moscow constantly carry out monitoring of competitors´ pricing and assortment policy. Changing of a consumer portrait is a new trend that has appeared, which required a ne
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Ji Yan, Liu Hong, and GU Mingchong. "Dynamic Pricing Strategy of Hotel Revenue Management." INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences 5, no. 8 (2013): 473–79. http://dx.doi.org/10.4156/aiss.vol5.issue8.57.

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Bandalouski, Andrei M., Mikhail Y. Kovalyov, Erwin Pesch, and S. Armagan Tarim. "An overview of revenue management and dynamic pricing models in hotel business." RAIRO - Operations Research 52, no. 1 (2018): 119–41. http://dx.doi.org/10.1051/ro/2018001.

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Basic concepts and brief description of revenue management models and decision tools in the hotel business are presented. An overview of the relevant literature on dynamic pricing, forecasting methods and optimization models is provided. The main ideas of the authors’ customized revenue management method for the hotel business are presented.
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Dissertations / Theses on the topic "Hotel Pricing Dynamics"

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(9597320), Haejin Kim. "APPLICATION OF FINANCIAL MARKET MODELS IN THE HOTEL INDUSTRY." Thesis, 2020.

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<p>In this dissertation, I investigated price dynamics in the hotel room-night market and attempted to explain pricing decisions from a market perspective. Since market dynamics of the hotel room-night market can be paralleled to those in the financial market, financial market models allowed for examination of various aspects of hotel room pricing decisions.</p><p>In the first study, advance-purchase discounts were estimated through application of an option pricing model considering property-specific attributes. Non-refundable advance-purchase discounts are a commonly used rate fence. One chal
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Book chapters on the topic "Hotel Pricing Dynamics"

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Domínguez-Menchero, J. Santos, and Emilio Torres-Manzanera. "Modelling Dynamic Hotel Pricing with Isotonic Functions." In Studies in Systems, Decision and Control. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73848-2_11.

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Mariello, Andrea, Manuel Dalcastagné, and Mauro Brunato. "HotelSimu: Simulation-Based Optimization for Hotel Dynamic Pricing." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53552-0_31.

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Möhring, Michael, Barbara Keller, and Rainer Schmidt. "Insights into Advanced Dynamic Pricing Systems at Hotel Booking Platforms." In Information and Communication Technologies in Tourism 2019. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-05940-8_21.

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Kardaras, Dimitris K., Xenia J. Mamakou, Bill Karakostas, and George Gkourakoukis. "An Approach to Hotel Services Dynamic Pricing Based on the Delphi Method and Fuzzy Cognitive Maps." In IFIP Advances in Information and Communication Technology. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41142-7_56.

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Fernandez, Noelia Oses, Jon Kepa Gerrikagoitia, and Aurkene Alzua-Sorzabal. "Dynamic Pricing Patterns on an Internet Distribution Channel: The Case Study of Bilbao’s Hotels in 2013." In Information and Communication Technologies in Tourism 2015. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-14343-9_53.

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Mauri, Aurelio G., Ruggero Sainaghi, and Giampaolo Viglia. "The Use of Differential Pricing in Tourism and Hospitality." In Advances in Marketing, Customer Relationship Management, and E-Services. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-5835-4.ch005.

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Due to the widespread adoption of revenue management strategies within the hospitality business, pricing has become more and more a central topic both for academics and practitioners. In particular, pricing has evolved towards value-based approaches, dynamic and customized through the use of price differentiation. “Rate fences” are the criteria that hotels adopt to separate customer segments whose service values may differ. The purpose of this chapter is to analyze the academic literature as well as the business practices relating to this subject. The authors propose a logical link between rate fences and the hedonic pricing approach. Main topics are 1) rate fence classifications and 2) the effectiveness of rate fences and their impacts on perceptions of fairness. Overall, this contribution suggests that time-based rate fences are fundamental at the destination level, and they are strictly connected to seasonality. Destinations' policymakers and firms can consider strategies and tools for overcoming seasonality, including special events that may take place in a destination.
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Conference papers on the topic "Hotel Pricing Dynamics"

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Zhang, Qing, Liyuan Qiu, Huaiwen Wu, Jinshan Wang, and Hengliang Luo. "Deep Learning Based Dynamic Pricing Model for Hotel Revenue Management." In 2019 International Conference on Data Mining Workshops (ICDMW). IEEE, 2019. http://dx.doi.org/10.1109/icdmw.2019.00061.

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Fadly, Muhammad, Ari Yanuar Ridwan, and Mohammad Deni Akbar. "Hotel Room Price Determination Based on Dynamic Pricing Model Using Nonlinear Programming Method to Maximize Revenue." In 2019 2nd International Conference on Applied Information Technology and Innovation (ICAITI). IEEE, 2019. http://dx.doi.org/10.1109/icaiti48442.2019.8982154.

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