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1

Prof, Pratik R. Satpute. "Concept of Room up Sell Index and its Utility in Rooms Division in Star Rated Hotels." International Journal of Trend in Scientific Research and Development 3, no. 3 (2019): 423–25. https://doi.org/10.31142/ijtsrd22805.

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Today, we find that the hospitality industry has flourished and become a major source of revenue generation all over the world. The growth of hospitality industry led to emergence of many hotel chains in India. The increasing competition and over supply of rooms has led to fall in the prices of room rates thus affecting the room revenue, average room rate and revenue per available room in all major cities of India. This condition has compelled the hotels to work on strategies and techniques to maximize the room revenue. Up selling is one such strategy. The paper will put light on the concept o
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Sastri Pitanatri, Putu Diah, Made Deny Kharisma, and I. Dewa Putu Hendri Pramana. "Pengaruh saluran distribusi offline dan online travel agent dan implikasinya terhadap revenue per available room di the anvaya beach resort bali." Jurnal Kepariwisataan dan Hospitalitas 4, no. 1 (2020): 1. http://dx.doi.org/10.24843/jkh.2020.v04.i01.p01.

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Abstrak
 Ketatnya persaingan yang terjadi dan mulai terdisrupsinya pasar Offline Travel Agent oleh Online Travel Agent menuntut pihak manajemen hotel mempertimbangkan secara selektif saluran distribusi mana yang harus dimaksimalkan guna meraih kinerja pendapatan kamar yang baik melalui Revenue per Available Room. Penelitian ini bertujuan untuk mengetahui dan mengkaji bagaimana pengaruh penjualan kamar melalui saluran distribsui Offline Travel Agent dan Online Travel Agent secara parsial maupun simultan terhadap Revenue per Available Room. Hasil penelitian secara parsial dan simultan menun
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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 (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 cu
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Kimes, Sheryl E. "The Relationship between Product Quality and Revenue Per Available Room at Holiday Inn." Journal of Service Research 2, no. 2 (1999): 138–44. http://dx.doi.org/10.1177/109467059922002.

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DeFranco, Agnes, Yoon Koh, Piyush Prem, and Benjamin Love. "Inclusion of Condominium Units in Luxury Hotels as a Diversification Strategy: Property Performance Perspective." Cornell Hospitality Quarterly 63, no. 1 (2021): 108–18. http://dx.doi.org/10.1177/19389655211050398.

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There is a new wave of mixed development where luxury hotels come with condominium units, though this type of diversification has gained scant attention. Prior hospitality literature on diversification strategies has mostly taken the firm-level approach and documented its impact on performance from various angles such as brand diversification, segment diversification, and geographic diversification, therefore leaving a void. In this work, we use the multilevel mixed effect model to examine 15,340 property-level data points from 2010 to 2019 for U.S. luxury hotels with and without condominium u
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Sabudi, I. Nyoman Sukana, I. Putu Alit Aswina Suta, and I. Gusti Agung Gede Witarsana. "Examining the Effects of Online Travel Agents on Room Revenue." International Journal of Management, Innovation & Entrepreneurial Research 9, no. 2 (2023): 11–16. http://dx.doi.org/10.18510/ijmier.2023.922.

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Purpose of the study: This study aims to determine the impact of online travel agent distribution channels on the Revenue Per Available Room (RevPAR) at Aloft Bali Seminyak over two years (2021-2022).
 Methodology: This study employs classical assumption tests, simple linear regression tests, t-tests, and coefficient of determination tests. These analyses were performed using IBM SPSS version 25 software.
 Main Findings: The study found that online travel agent distribution channels significantly influence RevPAR at Aloft Bali Seminyak. The impact, quantified at 59%, is considered st
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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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Borovcanin, Dusan, Ivan Cuk, Miha Lesjak, and Emil Juvan. "The Importance of Sport Event on Hotel Performance for Restarting Tourism After COVID-19." Societies 10, no. 4 (2020): 90. http://dx.doi.org/10.3390/soc10040090.

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The aim of this study was to illustrate the importance of major sports events, such as marathons, and their economic impact on hotel performance during these unpredictable times for the events and tourism industry. The analysis was focused on the economic impact of the marathon event on hotel performance in the area hosting the race. For that purpose, we selected the Vienna City Marathon, held yearly in April, as a case. We hypothesized that there will be a higher impact of hotel performance a day prior to the marathon in regard to the hotel performance in multiple nonmarathon occasions. As in
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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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Hannum, Christopher M., and Kerem Yavuz Arslanli. "A predictive model of revenue per available room in the Eastern Mediterranean using bilateral exchange rates." International Journal of the Built Environment and Asset Management 1, no. 4 (2015): 350. http://dx.doi.org/10.1504/ijbeam.2015.075060.

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Eseroghene, Udjo, and Giovanna Bejjani. "Examining Patterns of Tourism Recovery in the United Arab Emirates: Towards the Implementation of Effective Marketing Strategies." International Journal of Business and Management 19, no. 1 (2023): 61. http://dx.doi.org/10.5539/ijbm.v19n1p61.

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This study examines tourism recovery patterns in the United Arab Emirates (UAE). The study utilized time series modeling to evaluate the monthly tourism data from the Department of Culture and Tourism (DCT) in Abu Dhabi, covering 2019 to Q1 2023. The LJung box test was used to assess the fit of the dataset with the five tourism parameters: Average Length of Stay (ALOS), Number of Guests (NOG), Revenue Per Available Room (RevPAR), Occupancy Rate (OR), and Tourism Revenue (TR). The presence of nonstationarity was discovered, necessitating the use of data differencing to achieve stationarity.&#x0
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Dr., Rasika R. Gumaste, and Shefali Joshi Dr. "Impact of In room Facilities on Repeat Business in Hotels in certain cities of Maharashtra with reference to 3, 4, 5, and 5 star deluxe hotels in Mumbai, Pune, Nagpur." International Journal of Trend in Scientific Research and Development 2, no. 4 (2018): 877–84. https://doi.org/10.31142/ijtsrd14121.

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The hotel business is highly competitive, especially as today the supply of rooms exceeds the demand in the market. The guest rooms are the main revenue earning product of the hotel. The hotels provide a range of facilities to suit the tastes and pockets of the customer. The hotels retain their customers by offering different themes, contemporary designs and some offer unique facilities and services. Hotels that can attract, maintain, satisfy and retain customers are more likely to survive in the competitive market and will earn good revenue, higher occupancy percentage and better revenue per
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Kiczmachowska, Ewa E. "Private Rooms in Peer-to-Peer Accommodation: Employing Machine Learning to Determine Revenue Drivers." European Management Studies 2024, no. 4 (2025): 33–58. https://doi.org/10.7172/2956-7602.106.2.

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Purpose: The goal of this study was to identify the performance determinants of private rooms offered via peer-to-peer accommodation (P2PA) platforms. Design/methodology/approach: Based on property level data of Airbnb, the applications of machine learning clustering and artificial neural networks methods were proposed to identify the performance determinants of private room performance defined as yearly revenue. Findings: The results indicate that the most important revenue determinants were maximum number of guests, number of photos, number of bathrooms, location, and cancellation policy, as
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Davidson, M., M. L. Manning, P. Brosnan, and N. Timo. "Organizational Climate, Perceived Customer Satisfaction, and Revenue per Available Room in Four- and Five-Star Australian Hotels." Tourism Analysis 6, no. 2 (2001): 123–37. http://dx.doi.org/10.3727/108354201108749782.

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Chattopadhyay, Manojit, and Subrata Kumar Mitra. "Determinants of revenue per available room: Influential roles of average daily rate, demand, seasonality and yearly trend." International Journal of Hospitality Management 77 (January 2019): 573–82. http://dx.doi.org/10.1016/j.ijhm.2018.09.001.

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Webb, Timothy, and Zvi Schwartz. "Revenue management analysis with competitive sets." Tourism Economics 23, no. 6 (2016): 1206–19. http://dx.doi.org/10.1177/1354816616671473.

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Growing concerns about the integrity of the revenue per available room index—the lodging industry de facto performance measure—stem from previously published empirical evidence concerning the competitive set’s venerability and from management’s financial incentives to outperform the hotel’s competitive set. This study demonstrates the potential of the decision to include or exclude a hotel in, or from, competitive set averages to bias its performance index. The analysis shows that the bias potential is nonlinear and asymmetric in relation to the subject hotel’s revenues, and uses this revealed
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Shelemekha, D. "The hotel real estate market of Kyiv: formation and development." Bulletin of Taras Shevchenko National University of Kyiv. Geography, no. 62 (2014): 67–70. http://dx.doi.org/10.17721/1728-2721.2014.62.16.

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The dynamics of hotel real estate market of Kyiv are analyzed. The different views about the concept of “real estate market” are explored. The definition of “real estate market” as a socio-geographic category is allocated. The connection between tourists visit of Ukraine and hotel real estate market are disclosed. The basic characteristics of the hotel real estate market of Kyiv, such as supply on the market, average daily room rate, occupancy and revenue per available room are displayed.
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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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Remy, Detlev, Huey Chern Boo, and Shirley Tee. "FROM TRADITIONAL TO NEW HOTEL REVENUE MANAGEMENT METRICS: AN EXPLORATORY STUDY ON THE POTENTIAL OF NREVPAR AND REVPAC." Tourism and hospitality management 29, no. 2 (2023): 221–33. http://dx.doi.org/10.20867/thm.29.2.6.

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Purpose – This research aims to uncover the weaknesses of traditional hotel revenue management metrics (RM) and evaluate the potential application of two new metrics, specifically net revenue per available room and revenue per available customer. Design/Methodology/Approach – Initially, a focus group roundtable discussion was conducted with 15 participants who held managerial positions in various hotel chains. The objective was to identify critical hotel revenue metrics to be included in the subsequent online questionnaire. An online questionnaire was then distributed to HSMAI members in Asia,
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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 (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 p
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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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Oh, Sae Joon, and Seon Ju Song. "An Analysis of the Factors Affecting Residence Hotel's Revenue per Available Room (RevPAR) -Focused on Residence Hotels in HCMC, Vietnam-." Residential Environment Institute Of Korea 17, no. 1 (2019): 61–75. http://dx.doi.org/10.22313/reik.2019.17.1.61.

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Ghaffar Ben Hamida, Abdel, and Qaiser Aman. "Relationship between third-party agent marketing strategies and financial performance of hospitality sector." Innovative Marketing 21, no. 2 (2025): 146–55. https://doi.org/10.21511/im.21(2).2025.12.

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The main motive of the said study was to investigate the role of third-party agent marketing strategies and financial performance of the Kingdom of Saudi Arabia’s hospitality sector (hotels). For the said purpose, a structured questionnaire is used to collect the data from respondents (hotels’ managers). The analysis was performed on the sample of 305 5-star, 4-star, and 3-star hotels. The study likely explored how these explanatory variables (number of review (NbRev), valence of review (ValRev) and consumer rating (ConsRat)) contribute to shaping consumer behavior and the effectiveness of mar
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Aliyev, Ali. "AI-Driven Optimization in Project Management and Marketing: A Case Study of Airbnb Using Generative Adversarial Networks." SCIENTIFIC WORK 19, no. 1 (2025): 67–70. https://doi.org/10.36719/2663-4619/110/67-70.

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With an emphasis on AI-driven optimization to improve business performance, this study explores the use of Generative Adversarial Networks (GANs) in project management. This study shows how artificial intelligence (AI) can significantly improve project outcomes by using GANs to create synthetic data, model intricate project scenarios, and optimize important performance metrics like booking rates, revenue per available room (RevPAR), and average daily rates (ADR). Using Airbnb as an example, the analysis shows that a 4 % increase in occupancy would improve RevPAR by $4.22 per room, while a 5% i
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Sharma, Himanshu, Gunmala Suri, and Vandana Savara. "An Approach Combining DEA and ANN for Hotel Performance Evaluation." International Journal of E-Adoption 12, no. 1 (2020): 15–29. http://dx.doi.org/10.4018/ijea.2020010102.

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For a hotel to succeed in the long run, it becomes vital to achieve higher profits along with increased performance. The performance evaluation of a hotel can signify its sustainable competitiveness within the hospitality industry. This article performs a two-stage study that combines data envelopment analysis (DEA) and artificial neural network (ANN) to evaluate hotel performance. The first stage to evaluate the efficiency for hotels is by using the DEA technique. The input variables considered are the number of rooms and the ratings corresponding to six aspects of a hotel (service, room, val
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Wang, Xi, Jewoo Kim, Jaewook Kim, and Yoon Koh. "Application of Natural-Resource-Based View to Nature-Based Tourism Destinations." Sustainability 16, no. 6 (2024): 2375. http://dx.doi.org/10.3390/su16062375.

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The present study investigates the impact of natural environments on tourism destinations in a holistic approach. Specifically, the impact of accessibility to beaches and environmental quality aspects (temperature, visibility, air quality, and water quality) on tourism businesses can be accessed based on a natural-resource-based view. Dynamic panel estimation is employed to analyze the financial performance of U.S. coastal hotels between 2008 and 2017. By employing the Generalized Method of Moments (GMM) analysis, this aims to estimate coefficients consistently and impartially, thereby address
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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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Herath, Rohana Bandara, Jacquline Tham, Ali Khatibi, and S. M. Ferdous Azam Azam. "An investigation into the Relationship between Revenue Management Practices and Financial Performance in Star-Rated Hotels in Sri Lanka." Journal of Law and Sustainable Development 11, no. 11 (2023): e1538. http://dx.doi.org/10.55908/sdgs.v11i11.1538.

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Purpose: The purpose of this study is to examine the Relationship between Revenue Management Practices and Financial Performance in Star-Rated Hotels in Sri Lanka. Method: A quantitative research design was employed, utilizing a cross-sectional approach to collect data at a specific point in time. The sample was selected using stratified random sampling to ensure representation across hotels. Data was gathered through structured questionnaires and supplemented with secondary data from financial reports and industry publications. Results and Conclusions: The study revealed that 40.9% of surveye
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Agarwal, Vinod, James V. Koch, and Robert M. McNab. "Differing Views of Lodging Reality: Airdna, STR, and Airbnb." Cornell Hospitality Quarterly 60, no. 3 (2018): 193–99. http://dx.doi.org/10.1177/1938965518777218.

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Airbnb is an Internet-based firm that connects potential short-term renters with hosts who own or control rental properties. Its rapidly expanding activities are tracked by Airdna, an independent firm that generates seemingly conventional performance metrics describing Airbnb. These metrics include occupancy rates, average daily rates, and revenue per available room. However, Airdna does not adhere to long-established STR definitions for these variables. Using data from Virginia Beach, Virginia, we demonstrate that Airdna’s performance metrics exhibit notable upward biases vis-á-vis STR’s metr
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KAYA, Tekiner. "Covid-19 Dönemi Konaklama Tesisi Etkinlik ve Verimlilikleri: Kapadokya/Türkiye Örneği." Ekonomi, Politika & Finans Araştırmaları Dergisi 8, no. 1 (2023): 130–40. http://dx.doi.org/10.30784/epfad.1235700.

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Performance of the accommodation facilities should be measured and monitored periodically for sustainability in many dimensions which have potential to affect profitability directly. In this study, efficiencies of 88 hotels from Cappadocia/Türkiye are measured via data envelopment analysis. Four inputs and five outputs are considered to measure efficiencies and effectiveness in 2020 during the COVID-19 period. The data are collected via phone calls, hotels’ web pages and Tripadvisor in 2020. 83% of these hotels (73 hotels) are small-sized hotels which have equal or less than 20 rooms. Constant
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Hevessy, G. "Changing patterns in hotel room demand – case study of the Aquaticum Debrecen Thermal and Wellness Hotel." Applied Studies in Agribusiness and Commerce 4, no. 5-6 (2010): 51–55. http://dx.doi.org/10.19041/apstract/2010/5-6/7.

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Aquaticum Debrecen Thermal and Wellness Hotel is a very successful lodging property not only in Debrecen but also in the Northern Great Plain Region and in the Eastern part of Hungary and in point of fact in Hungary. In the past yearsAquaticum Thermal and Wellness Hotel has been the leader in the region by revenue per available rooms (RevPAR). RevPAR indicates the overall performance of properties, accordingly it is the most commonly used statistical indicator in comparison to competitors in Hotel industry. In the past years, demand for Hotel rooms has changed. This changing has several signs.
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Hevessy, Gábor. "Changing patterns in hotel room demand – case study of the Aquaticum Debrecen Thermal and Wellness Hotel." Applied Studies in Agribusiness and Commerce 5, no. 3-4 (2011): 43–47. http://dx.doi.org/10.19041/apstract/2011/3-4/6.

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Aquaticum Debrecen Thermal and Wellness Hotel is a very successful lodging property not only in Debrecen but also in the Northern Great Plain Region and in the Eastern part of Hungary and in point of fact in Hungary. In the past years Aquaticum Thermal and Wellness Hotel has been the leader in the region by revenue per available rooms (RevPAR). RevPAR indicates the overall performance of properties, accordingly it is the most commonly used statistical indicator in comparison to competitors in Hotel industry. In the past years, demand for Hotel rooms has changed. This changing has several signs
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Singh, Ajit Kumar. "ANALYZING PERFORMANCE OF SCALE HOTELS OF AHMEDABAD, INDIA." International Journal of Tourism & Hospitality Reviews 5, no. 1 (2018): 01–08. http://dx.doi.org/10.18510/ijthr.2018.511.

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Purpose: Ahmadabad is not only one of the largest city and former capital city of Gujarat but also emerged as an important economic and industrial hub of North India. A latest study by Association Chambers of Commerce of India (ASSOCHAM) states that the percentage share of investments in hospitality sector in Gujarat has reduced from 29 percent for 2012- 13 to 14.5 percent as on June 2016. Henceforth, this paper tends to analyze the hotel’s performance in Ahmadabad city in terms of Key Performance Indicators (KPIs), revenue generation, hotel’s room demand and supply.
 Methodology: The stu
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Choi, Danny Woosik, Seoki Lee, and Manisha Singal. "An exploratory temporal analysis of the lodging market and state economic recovery from Hurricane Sandy (The lodging market recovery from Hurricane Sandy)." International Journal of Contemporary Hospitality Management 31, no. 5 (2019): 2074–94. http://dx.doi.org/10.1108/ijchm-06-2018-0513.

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Purpose The purpose of this study is to examine how the lodging market and the state economy affected by Hurricane Sandy have recovered from the damages sustained. Specifically, this study examines and predicts the influence of revenue management key performance indicators (KPIs) on recovery and lodging revenue in the affected states and the states’ economies. These KPIs include average daily rate (ADR), occupancy and revenue per available room (RevPAR). Design/methodology/approach Secondary financial data were collected for the states most damaged by Hurricane Sandy. Subsequently, pooled Ordi
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Arenhart, Rodrigo Schons, Adriano Mendonça Souza, and Roselaine Ruviaro Zanini. "Energy Use and Its Key Factors in Hotel Chains." Sustainability 14, no. 14 (2022): 8239. http://dx.doi.org/10.3390/su14148239.

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Hotel chains are reported as one of the most energy-intensive sectors and a growing number of international studies on this theme have been developed. This research aims to understand energy use and some of its key factors in hotel chains worldwide. Data were collected on variables related to previous research and those present in the Global Reporting Initiative (GRI) framework. The sample was composed by 45 international hotel chains, representing more than 54,000 properties and 7,500,000 rooms. Multiple linear regression was employed to assess how the predictor variables (water use, carbon i
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Zheng, Tianshu. "What caused the decrease in RevPAR during the recession?" International Journal of Contemporary Hospitality Management 26, no. 8 (2014): 1225–42. http://dx.doi.org/10.1108/ijchm-05-2013-0192.

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Purpose – This study aims to attempt to examine whether the increase in hotel room capacity in the USA had a significant impact on nationwide aggregated weekly revenue per available room (RevPAR) during the recession of 2007-2009 and forecast average RevPAR, Occupancy and Average Daily Rate (ADR) for 2013 and 2014. Design/methodology/approach – Using Autoregressive Integrated Moving Average with Intervention analysis technique, this study examined the significance of the fluctuations in weekly RevPAR, room capacity and market demand through the recent recession and forecasted hotel performance
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Yıldız, Berk. "Determinants of Financial Efficiency and Performance in Big-Cap Chain Hotels." Ekonomi Politika ve Finans Arastirmalari Dergisi 9, no. 2 (2024): 254–70. http://dx.doi.org/10.30784/epfad.1452277.

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Chain hotels with $1 billion in market capitalization not only contribute to employment creation and indirectly become a driving force in the regeneration of local economies but also play an essential role in recovering local economies with their high revenue per available room (RevPAR) values. Besides, the financial stability of these hotel chains directly influences the popularity of destinations, resulting in an influx of tourists to nearby regions, which in turn generates an economic contribution to the overall development of the tourism industry. Therefore, the aim of this paper is to det
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Mariño-Romero, José Manuel, José Manuel Hernández-Mogollón, Ana María Campón-Cerro, and José Antonio Folgado-Fernández. "Corporate Social Responsibility in Hotels: A Proposal of a Measurement of its Performance through Marketing Variables." Sustainability 12, no. 7 (2020): 2961. http://dx.doi.org/10.3390/su12072961.

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The research into Corporate Social Responsibility (CSR) has been prolific in the last years, although few studies have focused their attention on studying its relationship with economic performance within the hotel industry, even less incorporating marketing variables as a result. This work aims to determine the relationship between the implementation of CSR policies and their influence on the Revenue Per Available Room (RevPAR) in Spanish hotels, through marketing variables. A quantitative methodology was conducted using an online survey, gathering a sample of 230 hotel managers from Spain. T
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Tyler, B. David, Steve C. Morse, and Ryan K. Cook. "Putting Heads in Beds: A Small Sport Event Seeks the Right Analysis to Appeal to CVBs." Case Studies in Sport Management 6, no. 1 (2017): 10–19. http://dx.doi.org/10.1123/cssm.2016-0010.

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Small-scale sporting events play an important role in bringing tourists to destinations. In this case, students take the role of the fictional national events director for EVP Beach Volleyball as he analyzes hotel data from three destinations to determine which locale would most benefit from EVP’s participants and fans. The primary goal is for students to learn to conduct basic analysis on a large, real dataset using Microsoft Excel. A second goal is to introduce students to the key performance indicators of the hotel industry: Occupancy Rate, Average Daily Rate (ADR), and Revenue Per Availabl
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Chen, Jianbin, and Danlin Chen. "Research on the principal factors and indicators of urban MICE competitiveness from the perspective of supply." International Hospitality Review 33, no. 1 (2019): 30–40. http://dx.doi.org/10.1108/ihr-10-2018-0020.

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Purpose Urban MICE competitiveness research consists of two clusters, one that is public-statistics-based and another that is questionnaire-based. Supply-side research on urban MICE competitiveness is rare. Based on the findings of Chen (2014) and other scholars, the purpose of this paper is to design counterpart statistical indicators to empirically analyze CMCA member cities. Design/methodology/approach After calculating the standardized Z value of the original statistical data for 17 CMCA member cities, the authors conducted confirmatory factor analysis for the first-level principal compone
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Crespo, Catarina, Conceição Gomes, Cátia Malheiros, and Luís Lima Santos. "Determinants and COVID-19 effects on RevPAR: The case of Europe." European Journal of Tourism, Hospitality and Recreation 13, no. 1 (2023): 97–109. http://dx.doi.org/10.2478/ejthr-2023-0009.

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Abstract As Europe prepares itself for a new downturn, this paper proposes to examine the determinants of hotel Revenue per Available Room (RevPAR) through literature review, and contribute to improving hotels’ performance by understanding the weight of the occupancy rate and the Average Daily Rate (ADR) on RevPAR, after the pandemic. A quantitative methodology was used, collecting data from STR Share Center and Our World in Data, such as ADR, occupancy rate, RevPAR, and COVID-19 confirmed cases. Results show the overwhelming effect of COVID-19 on hotel performance, conducing to ADR, occupancy
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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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Dineen, M. T. "Use of digital microscopy in process control during the manufacture of rubber-modified thermoplastics." Proceedings, annual meeting, Electron Microscopy Society of America 54 (August 11, 1996): 616–17. http://dx.doi.org/10.1017/s0424820100165549.

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The production of rubber modified thermoplastics can exceed rates of 30,000 pounds per hour. If a production plant needs to equilibrate or has an upset, that means operating costs and lost revenue. Results of transmission electron microscopy (TEM) can be used for process adjustments to minimize product loss. Conventional TEM, however, is not a rapid turnaround technique. The TEM process was examined, and it was determined that 50% of the time it took to complete a polymer sample was related to film processing, even when using automated equipment. By replacing the conventional film portion of t
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Yazina, Viktoriia, Herman Stoianov, and Serhii Ivantsov. "MODERN METHODS OF ASSESSING THE FINANCIAL POTENTIAL OF ENTERPRISES IN THE TOURISM AND HOSPITALITY INDUSTRY." Actual Problems of Economics 1, no. 256=257 (2022): 161–65. http://dx.doi.org/10.32752/1993-6788-2022-1-256-257-161-165.

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The study shows the advantages of forming and maximizing the financial potential of enterprises in the tourism industry and the hospitality sector, which shows the maximum importance of this economic stage of the enterprise. Methods for assessing financial potential in the tourism and hospitality industry include a thorough analysis of financial statements, cash flow projections, return on investment calculations and comparisons with industry standards. In addition, market research, customer feedback and risk assessment contribute to a comprehensive assessment of the company's financial condit
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Napierała, Tomasz, Katarzyna Leśniewska-Napierała, and Rafał Burski. "Impact of Geographic Distribution of COVID-19 Cases on Hotels’ Performances: Case of Polish Cities." Sustainability 12, no. 11 (2020): 4697. http://dx.doi.org/10.3390/su12114697.

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The main goal of the article is to describe the short-term impacts of reported new cases and deaths of the COVID-19 disease on hotels’ performances in the nine major Polish urban hotel markets: Kraków, Warszawa, Poznań, Wrocław, Gdańsk, Lublin, Łódź, Katowice, and Sopot. Time range of the analysis covers the period from January 5, 2020 (the beginning of the very first week when the COVID-19 cases were evidenced) to March 14, 2020 (the initial phase of lockdown was introduced by the Polish government). Various geographical contexts of the COVID-19 impacts are considered: national, European, and
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Xie, Karen, Linchi Kwok, and Wei Wang. "Monetizing Managerial Responses on TripAdvisor: Performance Implications Across Hotel Classes." Cornell Hospitality Quarterly 58, no. 3 (2017): 240–52. http://dx.doi.org/10.1177/1938965516686109.

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This study assesses the moderating effect of hotel class on managerial responses’ influence on hotel performance through the lens of data analytics. A panel data model was applied to analyze 7,979 managerial responses and 51,801 online reviews on TripAdvisor, which were matched with the financial performance data (revenue per available room [RevPAR]) for 2,652 hotels in 427 cities in Texas over 26 consecutive quarters from 2005 to 2011. The results suggest that even though all hotels will be able to observe an increase of RevPAR as they post more managerial responses to online reviews, above-a
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Marco-Lajara, Bartolomé, Enrique Claver-Cortés, and Mercedes Úbeda-García. "Business agglomeration in tourist districts and hotel performance." International Journal of Contemporary Hospitality Management 26, no. 8 (2014): 1312–40. http://dx.doi.org/10.1108/ijchm-07-2013-0319.

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Purpose – The present paper aims to analyze how the performance of hotels located on the Spanish Mediterranean coast (peninsular and Balearic) and Canary coast is affected by the degree of business agglomeration in tourist districts. If agglomeration affects hotels positively, then the externalities generated in tourist districts will be relevant when locating an establishment. Otherwise, the reason why hotels group together geographically would be more related to the suitability of beaches as a tourist destination. The study also analyzes the impact that regions or autonomous communities have
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Kien Phan, Trung, Thi Hong Thuy Nguyen, Thu Ha Dang, Van Thuan Tran, and Kim Ngoc Le. "Non-financial factors affecting the operational performance of hospitality companies: Evidence from Vietnam." Problems and Perspectives in Management 19, no. 4 (2021): 48–62. http://dx.doi.org/10.21511/ppm.19(4).2021.05.

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Non-financial factors including quality of services, the flexibility of a company, utilization of resources, and market orientation are regarded as significant determinants that enhance the profitability-based performance of a service company or a hotel. The study investigated the interaction between these factors and hotel operating performance measured by the hospitality performance and results indicators. Data on 346 executives of Vietnam’s hospitality companies were collected. A structural equation modeling (SEM) method was utilized to examine the positive-direct and moderating effects of
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Webster, Craig, Chih-Lun (Alan) Yen, and Sotiris Hji-Avgoustis. "Hotels hurting horrifically but hopeful: A case study of the Indianapolis hotel industry." Journal of Tourism, Heritage & Services Marketing 6, no. 3 (2020): 54–58. https://doi.org/10.5281/zenodo.4064023.

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<strong><em>Purpose</em></strong><em>: The authors delve into the impact of the coronavirus pandemic on the hotel industry in Indianapolis in comparison to its competition. The impact of the virus on the hotel industry was analyzed for Indianapolis and its major competitors (Chicago, Nashville, St. Louis, San Antonio and Kansas City) to learn about how severe the impact is and attain insight into how these destinations can rebound.</em> <strong><em>Methods</em></strong><em>: This paper uses data from Smith Travel Research (STR), a service that produces daily hotel metrics often cited in mainst
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Mhlanga, Oswald. "Peer-to-peer-travel: is Airbnb a friend or foe to hotels?" International Journal of Culture, Tourism and Hospitality Research 13, no. 4 (2019): 443–57. http://dx.doi.org/10.1108/ijcthr-05-2019-0087.

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Purpose The sharing economy has caught great attention from researchers and policymakers. However, due to the dearth of available data, not much empirical evidence has been provided. This paper aims to empirically assess the impacts of Airbnb on hotel performances in South Africa. Design/methodology/approach Using South Africa as a case study, the study measures the impacts of Airbnb on hotel performances on three key metrics, namely, room prices, occupancy and Revenue per available room (RevPAR). A difference-in-difference model is estimated using a population-based data set of 809 hotels fro
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