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Journal articles on the topic 'Hotels – Reservation systems'
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Vukasović, Tina, and Vlaho Mihač. "Trends in the Online Booking of Hotel Accommodation." International Journal of E-Services and Mobile Applications 13, no. 1 (January 2021): 60–76. http://dx.doi.org/10.4018/ijesma.2021010105.
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New technologies and tourist habits are the main reasons for the constant development in tourism. Tourist surfs through so many websites and promotional messages before making a final decision on which hotel to book. The hotel must invest in the development of a modern reservation system. The research is aimed at elaborating systems, trends, and innovations in online hotel accommodation sales in the Republic of Croatia. The authors have set the following research questions: (1) Which systems are used in hotel sales and marketing departments, and what are they used for in Croatia? (2) What is the growth of online sales in the last three years in Croatia? (3) What is the share of online sales per sales channel in Croatia? The main discoveries of the research are the systems used in hotel sales and the percentage of share of reservations made through direct sales channels of the companies surveyed. Keywords Croatia, Hotels, Innovation, Online Booking Systems, Qualitative Research, Quantitative Research, Share by Sales Channels, Tourism, Trends
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Battiti, Roberto, Mauro Brunato, and Filippo Battiti. "RoomTetris: an optimal procedure for committing rooms to reservations in hotels." Journal of Hospitality and Tourism Technology 11, no. 4 (November 2, 2020): 589–602. http://dx.doi.org/10.1108/jhtt-08-2019-0108.
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Purpose Many hotels allocate guests to specific rooms immediately after reservation. This happens because individual rooms are sold (and there is no concept of room type) or because the assignment is done by hand at reservation or because of a connection with a channel manager, which is immediately fixing the room number after a reservation request. This early allocation is suboptimal, and it causes the unnecessary rejection of some reservations when the hotel has a high occupancy level. The purpose of this paper is to investigate different room allocation algorithms, including an optimal one (called RoomTetris), aiming at higher occupancy levels and profitability. Design/methodology/approach The methodology is based on theoretical results and experimentation. The optimality or the proposed RoomTetris algorithm is demonstrated. Experiments are executed in different contexts, including realistic ones, through the adoption of a hotel simulator, to measure the improvements in the occupancy rate of the optimal and heuristic strategies with respect to random or sub-optimal assignments of rooms. Findings The main results are that smart allocation algorithms can greatly reduce the rejection rate (reservation requests which cannot be fit into the hotel room plan) and improve the occupancy level, the percentage of available rooms or beds sold for the various periods. Research limitations/implications This analysis can be extended by considering cancellations and overbookings. A second possibility to add flexibility in room allocation for hotels having more than one type of rooms is that the hotel can upgrade and offer a high-price room to the customer, which given an even large flexibility to fix rooms by shifting customers to other compatible types. In addition, more complex integrations with revenue management can also be considered, for cases in which the cost of a room depends on the number of guests. Practical implications Given that the difference in occupancy rate of the optimal algorithm is particularly large in high season and high-request periods, periods which are usually associated to higher rates and higher volumes, the proposed algorithm will improve the main financial performance indicators such as revenue per available room by an even bigger multiplier, depending on the hotel pricing policy. Because the room allocation process can be completely automated, the adoption of appropriate smart allocation algorithms represents a low-hanging fruit to be picked by efficient hotel managers. Originality/value To the best of the knowledge this is the first proposal of an optimal algorithm (with proof of optimality) for the considered problem.
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Meng, Yi, and Yuan Gao. "Research on Online Reservation Preference of Hotel Consumers Based on Joint Analysis Method." International Journal of Enterprise Information Systems 15, no. 4 (October 2019): 75–86. http://dx.doi.org/10.4018/ijeis.2019100105.
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With the rapid development of e-commerce, the online booking of hotel websites has become a very common way of booking. With a large number of tourists booking hotels online, with huge turnover, many online travel agencies pay more and more attention to the development, operation. and maintenance of the websites. For those online booking websites which provide hotel reservation information services, it is very important for their survival and development that they can satisfy customers, reduce their risk perception, and enhance their repeated purchase behavior in the process of hotel booking. Therefore, it is necessary to study the quality and operation efficiency of online hotel booking website. Based on the theory of consumer behavior, consumer preference, and product attributes, this article determines that the consumer preference for online hotel booking can be studied through consumer preferences for movie attributes. The basic theory of joint analysis method is studied, and the online reservation consumer preference theory is analyzed. Finally, a case study is carried out, and the results show that preferences of a consumer online reservation hotel can provide a favorable basis for making proper measurements.
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Ratna, Silvia, Endang Siti Astuti, Hamidah Nayati Utami, Kusdi Rahardjo, and Zainul Arifin. "Characteristics of tasks and technology as a driver of task-technology fit and the use of the hotel reservation information system." VINE Journal of Information and Knowledge Management Systems 48, no. 4 (November 12, 2018): 579–95. http://dx.doi.org/10.1108/vjikms-05-2018-0035.
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Purpose This study aims to examine the effect of task and technology characteristics on the compatibility of technology and tasks, as well as examine the reciprocal effect between the task-technology fit and the use of information systems. Design/methodology/approach The study took place in 36 star hotels from one-star to four-star hotels in some cities and districts in South Kalimantan Province. There were 24 hotels in Banjarmasin, 7 hotels in Banjarbaru and 1 hotel in each area of Banjar, Tanah Bumbu, Tabalong, Hulu Sungai Utara and Barito Kuala. The hotels chosen were those implemented the information and communication technology as supporting administrative activities to serve hotel customers. The population was the front office staff in the existing hotels as the users of the information technology. The sampling technique used in this research was the questionnaire distribution in accordance with the number of population. Data were collected from the filled questionnaires. From the 239distributed questionnaires, 164 (68.62 per cent) were returned and used as the research data. Findings Task characteristics and technology characteristics have a significant and positive effect on task-technology fit, in which the higher the task characteristics and technology characteristics, the higher the task-technology fit. The task-technology fit and the use of information systems are positive and reciprocal. This means that the higher the task-technology fit, the higher the use of information systems. Originality/value The originality of this study is reciprocal relationship between the variables of use with the task-technology fit. Some researchers have found the compatibility of technological tasks affecting the use of information systems, namely, Lin and Huang (2008), Norzaidi and Salwani (2009), Larsen et al. (2009), McGill and Klobas (2009), D’Ambra and Wilson (2013), Im (2014) and Chang et al. (2015). On the other hand, in task-technology fit theory, Goodhue and Thompson (1995) state that use affects the task-technology fit.
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Beaver, Allan. "Lack of CRS Accessibility May Be Strangling Small Hoteliers, the Lifeblood of European Tourism." Tourism Economics 1, no. 4 (December 1995): 341–55. http://dx.doi.org/10.1177/135481669500100403.
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This paper identifies the fragmented nature of accommodation provision in Europe, the majority being in small units. The increasing use by travel agents of Computer Reservation Systems (CRSs) to book hotels is also identified, by the provision of hitherto unpublished statistics. The criteria are detailed by which agents judge the effectiveness of a CRS. Two CRSs which have specialized in small units are described. The needs of both the supply and demand sides are noted and ways in which these may be met are explained. It is suggested that since small hotels are seldom featured on the major Global CRSs, these hotels may lose market share.
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Wang, Yi-Shun, Hsien-Ta Li, Ci-Rong Li, and Ding-Zhong Zhang. "Factors affecting hotels' adoption of mobile reservation systems: A technology-organization-environment framework." Tourism Management 53 (April 2016): 163–72. http://dx.doi.org/10.1016/j.tourman.2015.09.021.
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Lin, Yi-Ling, and Timothy Jeonglyeol Lee. "The Impacts of the Online Reservation System in London City Hotels." Journal of Hospitality Marketing & Management 19, no. 1 (November 13, 2009): 82–96. http://dx.doi.org/10.1080/19368620903327832.
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Yoon, Sungsik, Mehmet Erdem, Markus Schuckert, and Patrick C. Lee. "Revisiting the impact of VR applications on hotel bookings." Journal of Hospitality and Tourism Technology 12, no. 3 (July 24, 2021): 489–511. http://dx.doi.org/10.1108/jhtt-04-2019-0057.
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Purpose The current study aims to investigate hotel guests’ intention to use virtual reality (VR) and willingness to pay more for hotels that have VR applications (e.g. virtual room tour) when booking a hotel. Design/methodology/approach Through a theoretical lens of stimuli–organism–response (S-O-R), relationships among an individual’s performance expectancy, effort expectancy, social influence, utilitarian motivation, hedonic motivation, perceived value, intention to use VR and willingness to pay more for VR were tested using partial least square-structural equation modeling. Findings Performance expectancy, social influence, utilitarian motivation and hedonic motivation affect the perceived value of VR. An individual’s perceived value of VR affects his/her intention to use VR and willingness to pay more for a hotel that has VR contents (e.g. virtual room tour) available during the hotel booking process. Originality/value Through the S-O-R framework, this study provided insights into hotel guests’ intention to use VR and explored how their intentions lead to their willingness to pay more for a hotel if VR is available during the reservation or hotel selection process.
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Ramzan, Bushra, Imran Sarwar Bajwa, Noreen Jamil, Riaz Ul Amin, Shabana Ramzan, Farhan Mirza, and Nadeem Sarwar. "An Intelligent Data Analysis for Recommendation Systems Using Machine Learning." Scientific Programming 2019 (October 31, 2019): 1–20. http://dx.doi.org/10.1155/2019/5941096.
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In recent times, selection of a suitable hotel location and reservation of accommodation have become a critical issue for the travelers. The online hotel search has been increased at a very fast pace and became very time-consuming due to the presence of huge amount of online information. Recommender systems (RSs) are getting importance due to their significance in making decisions and providing detailed information about the required product or a service. To acquire the hotel recommendations while dealing with textual hotel reviews, numerical ranks, votes, ratings, and number of video views have become difficult. To generate true recommendations, we have proposed an intelligent approach which also deals with large-sized heterogeneous data to fulfill the needs of the potential customers. The collaborative filtering (CF) approach is one of the most popular techniques of the RS to generate recommendations. We have proposed a novel CF recommendation approach in which opinion-based sentiment analysis is used to achieve hotel feature matrix by polarity identification. Our approach combines lexical analysis, syntax analysis, and semantic analysis to understand sentiment towards hotel features and the profiling of guest type (solo, family, couple etc). The proposed system recommends hotels based on the hotel features and guest type for personalized recommendation. The developed system not only has the ability to handle heterogeneous data using big data Hadoop platform but it also recommends hotel class based on guest type using fuzzy rules. Different experiments are performed over the real-world datasets obtained from two hotel websites. Moreover, the values of precision and recall and F-measure have been calculated, and the results are discussed in terms of improved accuracy and response time, significantly better than the traditional approaches.
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Xu, Ming, Yan Jiao, Xiaoming Li, Qingfeng Cao, and Xiaoyang Wang. "A Multi-Period Optimization Model for Service Providers Using Online Reservation Systems: An Application to Hotels." PLOS ONE 10, no. 7 (July 6, 2015): e0128574. http://dx.doi.org/10.1371/journal.pone.0128574.
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Yavorska, V. V., I. V. Hevko, V. A. Sych, O. I. Potapchuk, and K. V. Kolomiyets. "Features of application of information technologies in modern tourism." Journal of Geology, Geography and Geoecology 28, no. 3 (October 12, 2019): 591–99. http://dx.doi.org/10.15421/111956.
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The article deals with the structure of the modern information technology system used in the tourism industry. It is emphasized that the use of information technology in each separate segment of the tourism industry, such as hotels, ticket reservations, the creation of specialized tourist products, is interlinked with all others. The purpose of the article is to reveal the peculiarities of the using of modern information technologies in the tourism industry. It was established that the introduction of information technology in the tourism industry took place in four stages, from the creation of data, through the direct development of information technologies , the development of strategic information systems and the integration of individual IT components in a network of different levels, from local to global. It is revealed that the majority of tourist enterprises use both standard and special software in their activity. For tourism enterprises to carry out marketing activities successfully, the information market offers technologies aimed at the process of automating the accumulation of survey results, planning and developing a marketing strategy. One of the most important elements in the tourism industry is computer reservation systems, which eventually integrated into global booking systems. These systems provide not only transport services, but also hotel accommodation, cruise trips, location information, bus, rail and air connections, exchange rates, weather reports, etc., allowing one to reserve all major components of the tour. Tour operators use several classic approaches to building a reservation system. The features of the market of tourist services, the specific characteristics of the services themselves and the peculiarities of their perception by consumers determine the specifics of marketing in this area. The use of information technologies, in particular the Internet, enables businesspeople and marketers to explore new market opportunities for their travel services, to highlight and explore various market segments (geographic, demographic, professional, organizational, behavioural, etc.). Tracking relevant information can be used to predict the future development of consumer demand and identify new trends in the behaviour of existing and potential customers. The use of geoinformation systems opens up broad prospects for engineering justification and design of new tourist routes and recreational areas, the publication of thematic tourist maps and the creation of web atlases, etc. Thus, thanks to information technologies, a single tourist information space is created that allows all players in the tourist market to quickly receive real information.
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Kim, Jina, Yeonju Jang, Kunwoo Bae, Soyoung Oh, Nam Jeong Jeong, Eunil Park, Jinyoung Han, and Angel P. del Pobil. "Between comments and repeat visit: capturing repeat visitors with a hybrid approach." Data Technologies and Applications 55, no. 4 (April 2, 2021): 542–57. http://dx.doi.org/10.1108/dta-06-2020-0123.
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PurposeUnderstanding customers' revisiting behavior is highlighted in the field of service industry and the emergence of online communities has enabled customers to express their prior experience. Thus, purpose of this study is to investigate customers' reviews on an online hotel reservation platform, and explores their postbehaviors from their reviews.Design/methodology/approachThe authors employ two different approaches and compare the accuracy of predicting customers' post behavior: (1) using several machine learning classifiers based on sentimental dimensions of customers' reviews and (2) conducting the experiment consisted of two subsections. In the experiment, the first subsection is designed for participants to predict whether customers who wrote reviews would visit the hotel again (referred to as Prediction), while the second subsection examines whether participants want to visit one of the particular hotels when they read other customers' reviews (dubbed as Decision).FindingsThe accuracy of the machine learning approaches (73.23%) is higher than that of the experimental approach (Prediction: 58.96% and Decision: 64.79%). The key reasons of users' predictions and decisions are identified through qualitative analyses.Originality/valueThe findings reveal that using machine learning approaches show the higher accuracy of predicting customers' repeat visits only based on employed sentimental features. With the novel approach of integrating customers' decision processes and machine learning classifiers, the authors provide valuable insights for researchers and providers of hospitality services.
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Аlyamkina, Аlina, Vyacheslav Kitsis, Sergej Teslenok, and Kirill Teslenok. "ONLINE BOOKING ON THE SERVICE WEBSITE ON RESERVING HOTELS ON THE INTERNET HORSE21." GEOGRAPHY AND TOURISM, no. 44 (2018): 13–22. http://dx.doi.org/10.17721/2308-135x.2019.44.13-22.
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Purpose. The purpose of the article is to analyze the technological features of the online booking system as an example Horse21. Methods. Used research methods such as: system, analysis of literature and Internet sources, comparative, statistical. Results. As a result of the study, the importance of modern information and communication computer technologies that are currently most widely used when booking places in collective means of accommodation, their advantages and the main directions of online booking development in the tourism industry have been determined. The main attention is paid to the features of the online booking technology on the Horse21 website. Scientific novelty. The possibilities of using modern information and communication computer technologies in the implementation of online booking through the Horse21 system are determined. The practical significance. Based on the analysis the online booking technology on the Horse21 system site identified six successive stages of actions aimed at booking places in collective means of accommodation. The results are intended to promote the further development of the use of online booking systems. Keywords: tourism, hospitality industry, reservation systems, modern information and communication computer technologies, online booking, Horse21.
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Christian, Lianawati, Angelina Permatasari, and Lianna Sugandi. "Sistem Informasi Perhotelan Front Office Menggunakan Metode OOAD untuk Meningkatkan Pelayanan Customer: Studi Kasus Perhotelan-Open Source." ComTech: Computer, Mathematics and Engineering Applications 4, no. 2 (December 1, 2013): 1155. http://dx.doi.org/10.21512/comtech.v4i2.3940.
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Technology plays an important role in various enterprise business processes for improved customer service, decision making, and means of information exchange. Hospitality accommodation is an example of fields that use information systems technology. This research was conducted in the field of hospitality especially front office system. Using computerized front office system, data about guests will be stored more safely and the reports will be better resulted. The purpose of this study is to analyze the existing problems on a Front Office of a hotel including identifying information needs and designing information systems to improve hospitality services to guests. The method used is analysis and design. Analysis is performed towards library research anddata collection needed for measuring through observation, interviews, and documents related to the information system. Menawhile, design uses object oriented analysis and design (OOAD) method and application programusing MS Access 2010. The result achieved is an application design of information system of hospitality front office that consists of five modules, namely Reservation module, Services module, Housekeeping module,Restaurant module, and Billing module. As a conclusion, a computerized information system of hospitality front office can assist hotels in providing better service to guests, which in turn can increase guest satisfaction.
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Недкова, Антонина, and Antonina Nedkova. "Information service as applied to the tourist business." Universities for Tourism and Service Association Bulletin 8, no. 3 (September 2, 2014): 21–27. http://dx.doi.org/10.12737/5546.
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The article deals with the current issues of information and communication technologies and their touristindustry application. Nowadays, tourist service activity is inconceivable without information resources and communication technologies, which serve to equip the consumer with e-information transmission and acquisition tools. The author identified the following information service aspects that are valuable
for the tourist industry: information as a link for the activity in tourism and service provision; tourism information product consumers (tourists, travel agencies, hotels, restaurants, airlines, railway and nautical companies, car-rent firms, etc); information resources (accounting databases, data provided by transfer companies); information owners and information resources; information systems; reservation and sales systems; information processes such as, for example, registration procedures, information transmission procedures, information processing procedures, and top management decision-making procedures; information system and technology support and maintenance – software provision, technical, linguistic, legal and organizational resources to ensure the operation of computering machines, thesauri, as well as operational instructions and methodology. The research conducted by the author leads to the general conclusion that, the newly-evolved information service industry is to continue its development and technological improvement, which, in its turn, will facilitate operations in the sphere of tourism and will satisfy consumer demand more efficiently.
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Pimpão, Pedro, Antónia Correia, João Duque, and José Carlos Zorrinho. "Exploring effects of hotel chain loyalty program." International Journal of Culture, Tourism and Hospitality Research 8, no. 4 (September 30, 2014): 375–87. http://dx.doi.org/10.1108/ijcthr-03-2014-0020.
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Purpose – The main purpose of this work is to evaluate the long-term effectiveness of a hotel’s chain loyalty program from a behavioral perspective. Design/methodology/approach – A Dirichlet model was estimated to assess purchase frequency and hotel choice within one of the biggest hotel chains in Portugal. The sample comprises hotels where a loyalty program was implemented, with a total of 176,099 reservations. Data were extracted from the customer relationship management (CRM) systems of the hotel group. Findings – The results suggest that instead of being loyal to a certain hotel, customers are loyal to the branded hotel chain. As the hotels are all part of the branded group, this polygamy is not only accepted but also very welcome. Research limitations/implications – The level of penetration and purchase frequency of CRM was measured. Nevertheless, a thorough understanding of these will be critical for the success of this program. Practical implications – This research is a step toward assessing hotel chain competitiveness, by improving and suggesting segmented groups of brands/hotels and to induce cross-selling products accepting polygamous loyalty as the only way to sustain long-term relationships with customers. Originality/value – This is one of the few research studies, if not the only one, to assess loyalty with tangible indicators, such as purchase frequency. Further, the results suggest that loyalty programs are more effective if multiple options are available and as such, cross-selling is perhaps the only way to fix customers.
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Pérez, Fernando A. Acosta, Gabriel E. Rodríguez Ortiz, Everson Rodríguez Muñiz, Fernando J. Ortiz Sacarello, Jee Eun Kang, and Daniel Rodriguez-Roman. "Predicting Trip Cancellations and No-Shows in Paratransit Operations." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 8 (June 12, 2020): 774–84. http://dx.doi.org/10.1177/0361198120924661.
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The productivity of paratransit systems could be improved if transit agencies had the tools to accurately predict which trip reservations are likely to result in trips. A potentially useful approach to this prediction task is the use of machine learning algorithms, which are routinely applied in, for example, the airline and hotel industries to make predictions on reservation outcomes. In this study, the application of machine learning (ML) algorithms is examined for two prediction problems that are of interest to paratransit operations. In the first problem the operator is only concerned with predicting which reservations will result in trips and which ones will not, while in the second prediction problem the operator is interested in more than two reservation outcomes. Logistic regression, random forest, gradient boosting, and extreme gradient boosting were the main machine learning algorithms applied in this study. In addition, a clustering-based approach was developed to assign outcome probabilities to trip reservations. Using trip reservation data provided by the Metropolitan Bus Authority of Puerto Rico, tests were conducted to examine the predictive accuracy of the selected algorithms. The gradient boosting and extreme gradient boosting algorithms were the best performing methods in the classification tests. In addition, to illustrate an application of the algorithms, demand forecasting models were generated and shown to be a promising approach for predicting daily trips in paratransit systems. The best performing method in this exercise was a regression model that optimally combined the demand predictions generated by the machine learning algorithms considered in this study.
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Xiang, Ma. "Research on Quality Evaluation of Online Reservation Hotel APP Based on a RBF Neural Network and Support Vector Machine." International Journal of Information Systems in the Service Sector 12, no. 2 (April 2020): 50–64. http://dx.doi.org/10.4018/ijisss.2020040104.
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In order to evaluate the quality of online reservation hotel APP, RBF neural and support vector machine are used to evaluate the quality of online reservation hotel APP. First, the basic theory of the RBF neural network is studied, and the training algorithm of the RBF neural network is designed. Second, the basic model of support vector machine is analyzed, and the training algorithm is designed. Third, the evaluation index system of online reservation hotel APP is designed, and the weight of every index is established based on questionnaires and expert interview, and the evaluation simulation is carried out for 25 online reservation hotel APP, results show that the RBF neural network and support vector machine can obtain consistent evaluation results, and the support vector machine has better evaluation performance.
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Yudiastuti, Helda, and Irwansyah Irwansyah. "IMPLEMENTASI METODE WEB ENGINEERING DALAM MEMBANGUN SISTEM E-RESERVATION PEMESANAN KAMAR HOTEL." Jurnal Ilmiah Matrik 21, no. 2 (September 13, 2019): 146–55. http://dx.doi.org/10.33557/jurnalmatrik.v21i2.568.
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This research was conducted at Hotel Telaga Biru Pagaralam, aims to create a new system that can overcome the problems that occur in the Hotel, especially in terms of booking rooms. The current room booking system is still done manually, which is still recorded in the book when guests check in until check out, then it is given a receipt as proof of payment in advance to the guest according to the length of the guest staying. In addition to coming directly customers can book a room by contacting the hotel by phone. For this, researchers are doing the action of making a system engineering information-based hotel reservation with the system development strategy using the Web engineering method, the tools used in the design are Unified Modelling Language (UML), in the development of this application authors use the PHP and MySql programming language as the Database of room booking systems. This system generates a system that allows customers and hotel to make bookings.
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Bovsh, Lyudmyla, Larysa Hopkalo, and Alla Rasulova. "Idiversification approach to customer-oriented management of hotel and restaurant businesses." Scientific Horizons 23, no. 11 (November 26, 2020): 88–100. http://dx.doi.org/10.48077/scihor.23(11).2020.88-100.
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The relevance of the study of diversification approach to customeroriented management of the hotel and restaurant businesses is caused by the need to find areas of business management in the context of deepening economic crisis. The hotel and restaurant business in Ukraine has been in a crisis plateau for a long time, which changes in the types and nature of influence and over time only exacerbates market and economic risks. The viral pandemic, which has halted many hotel and restaurant businesses, has drawn the attention of scientists and experts to the importance of mitigating risks through other sectors of the economy that were less affected or on the contrary, benefited from quarantine restrictions. Cancelled services reservations caused significant losses, and only subjects of hotel and restaurant business, which had a financial safety margin and / or diversified business, were able to stay on the market and use this time to strengthen customer orientation through CRM-systems, branding, development of diversified business concepts in the framework of concentrated diversification. The purpose of this paper was to determine the theoretical aspects of the formation of diversification policy and development of the customer-oriented approach for the hotel and restaurant business. The paper deals with the internal capabilities of the hotel and restaurant entities for reorientation, re-profiling, and diversification of the business, which are determined on the basis of modelling the hotel service system. To consider the features of the diversified approach, a number of general scientific and specific methods were applied, which allowed to formulate the theoretical provisions of the directions of diversification. Restrictions on access to the current operating performance of hotels and restaurants in the conditions of the pandemic have created certain information gaps in the development of practices of the application of customer-oriented tools and technologies, areas of diversification. Therefore, directions for future research are the study of successful results of diversification activities for hotel and restaurant businesses in Ukraine and around the world
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Ratna, Silvia, Hamidah Nayati Utami, Endang Siti Astuti, Wilopo, and Muhammad Muflih. "The technology tasks fit, its impact on the use of information system, performance and users’ satisfaction." VINE Journal of Information and Knowledge Management Systems 50, no. 3 (June 13, 2020): 369–86. http://dx.doi.org/10.1108/vjikms-10-2018-0092.
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Purpose Find out how the employees’ performance on the implementation of the hotel reservation information system. Therefore, this paper aims to examine the effect of the task-technology fit (TTF) on the use of information systems, as well as its effect on user performance and satisfaction. Design/methodology/approach This research type is explanatory research. In explanatory research, the aim is to provide an explanation related to the causal relationship between variables and hypothesis testing. The unit of analysis adopted in this study is the individual of the front office employees who use the star hotel reservation information system in South Kalimantan Province (the population is 239, and the taken are 150 samples, based on the number of indicators multiplied 5). Findings The higher the TTF, the higher the level of using information systems. The higher the use level of information systems, the higher the information systems user performance and vice versa in which the higher the user’s performance, the more increase the use of information systems. On the other hand, this study found that the use of information systems and user performance has no significant effect on user satisfaction. Originality/value The novelty in this study is shown in the influence between performance variables on the usage and the usage variables on the users’ performance. This study examines the importance of reciprocal usage and user performance relationships based on previous research studies that examine the relationship and that information technology (IT) usage will affect user performance. In addition, the users’ performance will affect the users’ behavior in using IT.
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Martinez-De-Pison, E., J. Fernandez-Ceniceros, A. V. Pernia-Espinoza, F. J. Martinez-De-Pison, and Andres Sanz-Garcia. "Hotel Reservation Forecasting Using Flexible Soft Computing Techniques: A Case of Study in a Spanish Hotel." International Journal of Information Technology & Decision Making 15, no. 05 (September 2016): 1211–34. http://dx.doi.org/10.1142/s0219622016500309.
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Room demand estimation models are crucial in the performance of hotel revenue management systems. The advent of websites for online room booking has produced a decrease in the accuracy of prediction models due to the complex customers’ patterns. A reduction that has been particularly dramatic due to last-minute reservations. We propose the use of parsimonious models for improving room demand forecasting. The creation of the models is carried out by using a flexible methodology based on genetic algorithms whereby a wrapper-based scheme is optimized. The methodology includes not only an automated model parameter optimization but also the selection of most relevant inputs and the transformation of the skewed room demand distribution. The effectiveness of our proposal was evaluated using the historical room booking data from a hotel located at La Rioja region in northern Spain. The dataset also included sociological and meteorological information, and the list of local and regional festivities. Nine types of regression models were tuned using the optimization scheme proposed and grid search as the reference method. Models were compared showing that our proposal generated more parsimonious models, which in turn led to higher overall accuracy and better generalization performance. Finally, the applicability of the methodology was demonstrated through the creation of a six-month calendar with the estimated room demand.
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Zhang, Jinyu, Xuechun Luo, Yao Zhou, Weiwei Ruan, Y. Jiang, and Zhifeng Hao. "Two-way negotiation for intelligent hotel reservation based on multiagent: The model and system." Knowledge-Based Systems 161 (December 2018): 78–89. http://dx.doi.org/10.1016/j.knosys.2018.07.032.
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Hampshire, Robert C., William A. Massey, and Qiong Wang. "DYNAMIC PRICING TO CONTROL LOSS SYSTEMS WITH QUALITY OF SERVICE TARGETS." Probability in the Engineering and Informational Sciences 23, no. 2 (February 16, 2009): 357–83. http://dx.doi.org/10.1017/s0269964809000205.
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Numerous examples of real-time services arise in the service industry that can be modeled as loss systems. These include agent staffing for call centers, provisioning bandwidth for private line services, making rooms available for hotel reservations, and congestion pricing for parking spaces. Given that arriving customers make their decision to join the system based on the current service price, the manager can use price as a mechanism to control the utilization of the system. A major objective for the manager is then to find a pricing policy that maximizes total revenue while meeting the quality of service targets desired by the customers. For systems with growing demand and service capacity, we provide a dynamic pricing algorithm. A key feature of our solution is congestion pricing. We use demand forecasts to anticipate future service congestion and set the present price accordingly.
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Mattila, Anna S., and Sunmee Choi. "The Impact of Hotel Pricing Policies on Perceived Fairness and Satisfaction with the Reservation Process." Journal of Hospitality & Leisure Marketing 13, no. 1 (October 11, 2005): 25–39. http://dx.doi.org/10.1300/j150v13n01_03.
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Guo, Xiaolong, Liuyi Ling, Chenchen Yang, Zhaoqiong Li, and Liang Liang. "Optimal pricing strategy based on market segmentation for service products using online reservation systems: An application to hotel rooms." International Journal of Hospitality Management 35 (December 2013): 274–81. http://dx.doi.org/10.1016/j.ijhm.2013.07.001.
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Kumar, Dr Vinod, Gagandeep Raheja, and Sukhpreet Singh. "REVIEW OF DATABASE AND PROMINENT PROGRAMMES." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 4, no. 1 (February 1, 2013): 48–53. http://dx.doi.org/10.24297/ijct.v4i1a.3035.
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Databases and database systems have become an essential component of everyday life in modern society. In the course of a day, most of us encounter several activities that involve some interaction with a database. For example, if we go to the bank to deposit or withdraw funds, if we make a hotel or airline reservation, if we access a computerized library catalog to search for a bibliographic item, or if we buy some item such as a book, toy, or computer- form on internet vendor through it Web page, there might be chances that our activities will involve someone or some computer program accessing a database, even purchasing items from a supermarket nowadays in many cases involves an automatic update of the database that keeps the inventory of supermarket items. So in this paper we will talk about how to manage the different type of data involved in any form in the database.
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Thakur, Rashmi K., and Manojkumar V. Deshpande. "Kernel Optimized-Support Vector Machine and MapReduce Framework for Sentiment Classification of Train Reviews." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 27, no. 06 (December 2019): 1025–50. http://dx.doi.org/10.1142/s0218488519500454.
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Sentiment analysis is one of the popular techniques gaining attention in recent times. Nowadays, people gain information on reviews of users regarding public transportation, movies, hotel reservation, etc., by utilizing the resources available, as they meet their needs. Hence, sentiment classification is an essential process employed to determine the positive and negative responses. This paper presents an approach for sentiment classification of train reviews using MapReduce model with the proposed Kernel Optimized-Support Vector Machine (KO-SVM) classifier. The MapReduce framework handles big data using a mapper, which performs feature extraction and reducer that classifies the review based on KO-SVM classification. The feature extraction process utilizes features that are classification-specific and SentiWordNet-based. KO-SVM adopts SVM for the classification, where the exponential kernel is replaced by an optimized kernel, finding the weights using a novel optimizer, Self-adaptive Lion Algorithm (SLA). In a comparative analysis, the performance of KO-SVM classifier is compared with SentiWordNet, NB, NN, and LSVM, using the evaluation metrics, specificity, sensitivity, and accuracy, with train review and movie review database. The proposed KO-SVM classifier could attain maximum sensitivity of 93.46% and 91.249% specificity of 74.485% and 70.018%; and accuracy of 84.341% and 79.611% respectively, for train review and movie review databases.
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Rebezova, M., N. Sulima, and R. Surinov. "Development Trends of Air Passenger Transport Services and Service Distribution Channels." Transport and Telecommunication Journal 13, no. 2 (January 1, 2012): 159–66. http://dx.doi.org/10.2478/v10244-012-0013-9.
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Development Trends of Air Passenger Transport Services and Service Distribution Channels Alongside their core service, i.e., passenger transportation, air carriers are nowadays providing numerous extra services, which are not directly related to transport. On the one hand, airlines are enlarging the scope of paid services provided on board an aircraft by, among other ways, splitting the air ticket fee and singling out the costs of such services as catering on board, checked-in luggage, airport check-in, etc. On the other hand, airline companies tend to provide mass services to their sales partners - ground transportation, car rental, insurance, hotel booking, etc. Provision of both the core and the extra services is closely connected with computerized reservation systems and the corresponding agent and customer access networks. These systems and networks form the basis of IT channels of service distribution. The present paper analyses the indicators and development trends of air transport services in combination with the development of service distribution channels and the information technologies lying at the basis of such channels. The paper also describes the structure and IT support of distribution channels. The authors have paid attention to the potential qualitative changes in the structure and possibilities of distribution of air passenger transportation services in view of the Next Generation Network (NGN) concept whose implementation has been started in the world.
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Chen, ChihChien, Karen Xie, and Shuo Wang. "The influence of incidental affect and mood-changing price on online booking intention." Journal of Hospitality and Tourism Technology 8, no. 3 (October 2, 2017): 357–71. http://dx.doi.org/10.1108/jhtt-07-2016-0036.
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Purpose This paper aims to examine the joint influence of incidental affect and mood-changing prices on consumers’ hotel booking intention in an online purchase context. Design/methodology/approach Based on the integrative framework of affect evaluation and affect regulation, a 3 × 2 full factorial between-subject online experiment in an online booking scenario is developed to investigate how consumers’ booking intentions change by mood inductions (happy, neutral and sad) and price levels (below versus above reference price). Findings Results showed that when the observed price was a mood-threatening cue, participants who were induced to feel either happy or sad by a commercial had a higher booking intention than those who were induced to feel neutral. However, there were no significant differences in participants’ booking intentions across pre-purchase affective states when the observed price was a mood-lifting cue. Research limitations/implications The current study contributes to a better understanding and prediction of consumers’ action tendencies resulting from the interactions between specific incidental affects and mood-changing opportunities in an online hotel reservation environment. Practical implications Online booking companies and online travel agencies in general may wish to incorporate mood-changing components into their booking web pages to enhance potential bookers’ purchase intentions at any given price. Originality/value This research is one of the first empirical studies to instantiate the integrative affective mechanism in an online purchase setting. As e-commerce and online marketplaces are taking the place of traditional brick-and-mortar retailing, it is critical for hospitality industry marketers to fully understand how consumers’ pre-purchase emotions influence their purchase decisions.
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Memarzadeh, Faranak, Shane C. Blum, and Charlie Adams. "The impact of positive and negative e-comments on business travelers’ intention to purchase a hotel room." Journal of Hospitality and Tourism Technology 6, no. 3 (October 19, 2015): 258–70. http://dx.doi.org/10.1108/jhtt-09-2014-0049.
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Purpose – This paper aims to find out the impact of business travelers’ behavioral belief on positive and negative e-comments, which consequently lead to intention to purchase a hotel room. To explore the relationships among attitude toward positive and negative e-comments with intention to purchase, the Theory of Reasoned Action (TRA) was used. Design/methodology/approach – Business travelers in the USA who read e-comments and made a hotel choice based on those e-comments within the past six months were targeted for this study. The TRA, as well as a wide-ranging review of literature, were used to develop the survey instrument. The survey was distributed through Qualtrics, which is an online questionnaire service platform. To measure the business travelers’ behavioral beliefs toward e-comments, a number of measures were developed for this research. The theories of Fishbein and Ajzen were used to examine business travelers’ behavioral beliefs toward positive and negative e-comments. All of the questions on this survey about the intention to purchase were extracted from Liao et al. Other questions about attitude toward positive and negative comments were adopted from Chu and Choi, Sparks and Browning, Gundersen et al. and Lee and Sparks. The last section of the survey included questions about business travelers’ sociodemographic statistics, such as ethnicity, level of income, age, gender and education. The first question separated respondents to recognize those who made a reservation at a business hotel in the past six months after reading comments about the hotel. Those who responded positively were asked to participate in the study. Participants of this research presented their degree of agreement on each item by using a seven-point Likert scale, rating from (1) “Strongly disagree” to (7) “Strongly agree”. To verify the reliability of the questionnaire and to ensure it reflected the TRA, a pilot study was conducted with a small group of business travelers who had booked a hotel room in the past six months and finalized their purchases based on reading e-comments. No major changes were made to the survey as a result of the pilot study and all factors indicated an adequate level of internal consistency. The proposed model examined the effects of both positive and negative e-comments toward business travelers’ intention to purchase. This research aimed to determine the impact of behavioral belief on positive e-comments and negative e-comments, which consequently lead to intention to purchase. Findings – The results of the proposed model revealed that behavioral belief positively affects both positive and negative e-comments. This means that business travelers want to be informed about both complaints and compliments in e-comments. However, this does not mean they intend to purchase a hotel room based on both opinions; rather business travelers would be inclined to purchase a hotel room based on positive e-comments. Using gender as a moderating effect indicated that females neither believe of the helpfulness of negative e-comments nor intend to purchase based on these e-comments. However, males tend to find both positive and negative e-comments helpful. Originality/value – The findings of this research will help hoteliers, as well as online website review operators, to obtain a clearer understanding of guests’ or users’ needs and wants in order to offer a more desirable service. Since business travelers are considered an important target market in the hotel industry, hoteliers need to put more emphasize on these factors to attract more business travelers. By recognizing business travelers’ requirements and their expectations, hoteliers should prioritize their responsibilities for meeting these guests’ expectations; therefore, they can assign their resources accordingly. In other words, once a guest’s needs are understood clearly, hoteliers will be in safe position to provide the desired service.
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Ivanov, Ivaylo, and Irina Atanasova. "HOTEL RESERVATIONS VIA ONLINE TRAVEL AGENCY BOOKING.COM. EU DIMENSIONS OF THE “BEST PRICE” CLAUSE." CBU International Conference Proceedings 7 (September 30, 2019). http://dx.doi.org/10.12955/cbup.v7.1354.
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The use of online reservation systems has become a must for hospitality businesses. This article is focused on the use of www.booking.com as an online search engine for accommodation in a family hotel in Blagoevgrad, Bulgaria. The aim of the research is to analyze the behavior of people, using one of the best performing online travel agencies in the world for hotel room reservation. The article reveals interesting statistical facts about the nationality of the guests and how far ahead of time reservations are made. Data for the electronic device, which is used to make a reservation, is stated in the article. The “best price” clause of booking.com is taken into account, as it is being banned in some EU countries, but still influencing the decision making process of hotel customers. A brief outlook of the ‘’most favored nation’’ (“MFN”) clause, also known as ‘price parity’ or ‘best price’ clause (“BPC”) and its application in EU countries is included.
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"Modern trends and prospects for the introduction of information technologies in the Ukrainian tourism industry." Journal of Economics and International Relations, no. 11 (2020). http://dx.doi.org/10.26565/2310-9513-2020-11-13.
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Information technology greatly simplifies the process of forming a tourist product using computer networks, international reservation systems, electronic databases of tourism regulations, automated systems of settlement payments and etc. The impact of information technology on tourism is carried out by the following ways: increasing the efficiency of enterprise management, improving the quality of customer services, creating and implementing new services. The subject of the research is the introduction of information technology in the Ukrainian tourism industry. The purpose of the article is to identify trends and outline the definite prospects of using modern information technology in the tourism industry. The following research methods are used in the article: analysis and synthesis to closer define the essence of information technology; observation and theoretical generalizations to reveal the characteristics of introduction of information technology in the activity of enterprises in the tourism industry; statistical method to analyze the current condition of information technology in the tourism industry; graphical and tabular techniques to determine the relationship between indicators, their illustrations and the presentation of research results. The results we have obtained are following. The most popular websites in Ukraine in the categories “Accommodation and Hotels”, “Air Travel” “Ground Transportation” and “Tourist Attractions” are booking.com, flyuia.com, blablacar.com, and getyourgiede.com. Compared to the world experience, the percentage of paid search in Ukraine is higher, it means that some companies do not have a well-developed brand. The rating in mobile apps for all companies is above 4, it is a good mark. Due to the pandemic, tourism is now in a difficult situation, it has also affected the statistics of all indicators on web resources, but the experts pay attention to the historical sustainability of tourism and its ability to cope with crises. From the comparative characteristics of web pages in four categories in Ukraine and in the world, we can conclude that in our country the brands of these companies are not enough developed, the popularity among tourists is lower, and the percentage of search traffic is also lower. To increase the website traffic and the level of awareness of tourism businesses, tourism enterprises should use social networks to provide up-to-date information to tourists and to maintain customer contact, as well as send promotions and discounts.
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Vítek, T., and D. Pachner. "A Reservation Aggregation Framework Design for Demand Estimation." Acta Polytechnica 46, no. 4 (January 4, 2006). http://dx.doi.org/10.14311/860.
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Effective management practices in the tourism and hotel area have seldom been more important than at the present time. Pricing decisions cannot be taken without serious thought. IT has provided the opportunity for a customer to make a quick market search and it offers decision support systems that can be used in the hotel management. The heart of yield management system consists of the predicting machine, which estimates the number of incoming reservations. Incoming reservations arrive randomly in time. The time series calculi as well as the estimators known from control engineering require properly defined time rows (with a constant period). This requirement is usually not fulfilled, so the input data are not exploited properly. This paper outlines a procedure that aggregates the reservations into a time series that is useful for demand prediction. The algorithm prepares the data systematically for further processing. Any method that process time rows can be used for subsequent prediction: time series, linear models or time extrapolation.
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Chalupa, Stepan, Martin Petricek, and Zdenek Ulrych. "The Use of Business Process Management in Hotel Direct Sales Improvement." TEM Journal, February 27, 2021, 215–20. http://dx.doi.org/10.18421/tem101-27.
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This article deals with Business Process Modelling and Reengineering use in the hospitality industry, focusing on the improvement of direct telephone sales by application of the CRM system. After modelling the current state of the selected process using ARIS methodology, the same process was remodelled for the application of the CRM system. This application shortened the whole process (mainly the number of activities needed to prosecute) and allowed the front-office employee to be more clients oriented. The automation of labour-intensive processes can reduce the number of human-caused errors and improve the convertibility and reservation request and their overall value.
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Putra, Hendri Cahaya. "SISTEM PENDUKUNG KEPUTUSAN PENENTUAN MITRA KERJASAMA PADA HOTEL GRAND SIRAO DENGAN MENGGUNAKAN METODE PSI (Preference Selection Index)." KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) 3, no. 1 (November 25, 2019). http://dx.doi.org/10.30865/komik.v3i1.1629.
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Grand Sirao Hotel is a hotel that stands in the middle of Medan City, located on Jl. Semarang. Grand Sirao Hotel is an attractive hotel in the sector of cooperation in certain fields, but in this hotel it often happens in cooperation with outside companies. One of the problems that often occurs at the Grand Sirao Hotel is the constrained stock of goods needed for guests staying at the hotel, items that are often constrained which are usually in the form of sandals and toiletries that are in short supply. This problem often arises because of the many other factors between companies related to hotel owners themselves, debates that often arise from hotel owner claims include quality of goods that are sometimes incompatible with reservations and need to be taken into account, inventory can be exhausted, prices always go up because of skyrocketing market prices and other problems. This collaboration problem arises due to lack of success in determining partnerships with related companies that are not appropriate and in company selection is also still manual and there are appropriate systems and criteria. Therefore a decision support system is needed in the selection of partners upon the proposed approval. One solution to this problem that is right is to make a decision system in the decision of the company's business partners so that the determination of cooperation in accordance with the right requirements. By using a Decision Support System (SPK) is expected to help the company in making decisions made by the right company partners in increasing the efficiency of the decision. PSI (Index Selection Preference Method) is a method for solving multi-decision making (MCDM) decisions. In the proposed method it is not necessary to submit among the attributes. There are no attributes required in computing that are involved in decision making. It is hoped that by using the PSI (Index Selection Preference) Method, it is necessary to establish a decision support system which can assist in the selection of corporate cooperation partners at the Grand Sirao Hotel.Keywords: Determination of Cooperation Partners, Decision Support System, PSI (Index Selection Preference)