The determinants of hotel room rates: an analysis of the hotel industry in Warsaw, Poland

Pawlicz, Adam; Napierała, Tomasz

doi:10.1108/ijchm-12-2015-0694

Cited by 66 publications

(38 citation statements)

References 37 publications

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“…Thus, city centre is the most impactful place creating hotel spatial clusters. This was confirmed by Napierała and Leśniewska (2015), Pawlicz and Napierała (2017), Shoval (2006), and Shoval and Cohen-Hattab (2001) who investigated the impact of distance from the city centre, or location in central district of the city, on hotel room rates. The authors used both quantitative and qualitative methods and found that location in a city centre allows hoteliers to offer their services at higher prices.…”

Section: Agglomeration Effect Of Intra-urban Location Of Hotelsmentioning

confidence: 68%

Polycentric intra-urban development of hotels: Evidence from Budapest

Napierała¹

2019

Geogr. Pol.

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The aim of the paper is to understand evolutionary changes of hotel intra-urban location policy during the period of the economic transition. Thus, the theoretical model of polycentric intra-urban development of hotel facilities is introduced in this research. Polycentric development is defined as the result of two ongoing and contrary tendencies: (1) spatial sprawl of hotel facilities resulting from new hotel investments, and (2) concentration of hotel enterprises, which is the effect of demand-based and production-based agglomeration processes of hotel facilities in particular locations. To examine this theoretical concept, the changes of spatial distribution of hotel entities in Budapest since 1982 were investigated. Kernel density estimation was applied to identify the number, location, and area of clusters of hotel services. Empirical evidence confirms the proposed theoretical model of polycentric intra-urban development of hotels, although significant hotel clusters are only formed in the central districts of Budapest.

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Section: Agglomeration Effect Of Intra-urban Location Of Hotelsmentioning

confidence: 68%

Polycentric intra-urban development of hotels: Evidence from Budapest

Napierała¹

2019

Geogr. Pol.

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“…Revenue management research has drawn attention in recent decades from scholars and professionals focused on areas such as RM uses, processes, and structures. There has been a rise in RM models such as the hedonic price model for measuring the impacts of various factors on hotel prices [17], the successive consumer decision procedures model [18], dynamic and deterministic programming models, used to manage matters of RM in hotels [19], RM implementation and strategy models [10], the choice model [20], the room intensification integrated model for hotel proceeds [21], forecasting models [22], and the multinomial logit model for RM [23].…”

Section: Practices Of Revenue Management In Hotelsmentioning

confidence: 99%

Determinants of revenue management practices and their impacts on the financial performance of hotels in Kenya: a proposed theoretical framework

2021

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This conceptual paper aims at identifying a theoretical framework for the determinants of revenue management (RM) practices and their impacts on the financial performance of hotels. To create this framework, a two-phased process is employed where the first stage involves an explicit examination of the literature related to practices of revenue management and their determinants and to hotel financial performance. The second stage involves an enhancement of the framework. The theoretical structure is developed based on past theoretical explanations, and empirical analysis is conducted in the fields of revenue management. The researchers propose a theoretical framework illustrating how revenue management practices and their determinants affect the financial performance of Kenyan hotels. The use of contingency theory and its justifications and inadequacies among studies on revenue management in hotels is highlighted. The methods highlighted by the reviewed theoretical framework may be utilized to organize revenue management (RM) practices and their determinants for Kenyan hotels. Measurements for the financial performance of hotels are also described. Last, the researchers call for empirical research that authenticates the proposed model using a cross-sectional survey. The present work can inspire scholars and specialists to determine how RM practices and their determinants impact the financial performance of hotels. By assimilating knowledge from numerous disciplines, this paper emphasizes aggregated awareness surrounding the conceptualization of RM, RM practices adopted in hotels, and the financial performance of hotels.

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“…Similarly, models developed for pricing incorporate some notion of external conditions, e.g. weather or politics [20] and hotel characteristics like location and star rating [21]. The approach proposed in [22] is worth to mention as the authors use not only nonlinear model but also employ automatic feature selection to introduce additional variables.…”

Section: Related Workmentioning

confidence: 99%

Improving Time-Series Demand Modeling in Hospitality Business by Analytics of Public Event Datasets

Кamola

Arabas

2020

IEEE Access

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Forecasting occupancy in hospitality business with autoregressive time-series models does not intercept occasional impact of public events. Our goal was to find appropriate datasets and enrich existing predictive models to account for rare and explicable demand surges. The paper proposes processing framework: data source types and formats, and forecast algorithms based on natural language processing. The study shows that classical models using word collocations outperform state of the art deep neural networks. Also, the collocations that turn out to be important, occupy certain locations in a graph that represents the natural language. The findings may result in yet improved forecasts, leading to smarter offer pricing and, finally, increased competitiveness in hospitality business. They may also serve public interest in areas like parking management or public transport planning. INDEX TERMS Time series analysis, recurrent neural networks, regression analysis, natural language processing, predictive models.

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The determinants of hotel room rates: an analysis of the hotel industry in Warsaw, Poland

Cited by 66 publications

References 37 publications

Polycentric intra-urban development of hotels: Evidence from Budapest

Polycentric intra-urban development of hotels: Evidence from Budapest

Determinants of revenue management practices and their impacts on the financial performance of hotels in Kenya: a proposed theoretical framework

Improving Time-Series Demand Modeling in Hospitality Business by Analytics of Public Event Datasets

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