977 resultados para Hotel management.
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Manystudies have been conducted about hotel attributesrelated tothehotel choice decision as a part ofacustomer’s pre- purchase behavior(Dolnicar&Otter, 2003). Althoughit iscritical for hotel managerstounderstand post-trip behavior because such behaviorsmaydirectlyinfluence their futurebehavior, therearefew researchstudieswhich examine hotel attributesrelated to acustomer’spost-trip behavior.This studyteststhe relationship between leisure traveler’shotel attribute satisfaction and overall satisfaction in the post-trip behaviorperspectiveina hotel setting andexaminestherelative impactofhotel attributesatisfaction in influencing overall satisfaction. Multiple regressionwas used totestthe relationship and hotel attribute satisfaction isan important antecedent tooverall satisfaction. Theoretical and practical implications ofthe studyare discussed.
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The thesis which follows is a study of recruiting and developing skilled workers for Hotel Food Service Operations in the Miami area. The aim of the study is to bring to the attention of personnel management the role of recruiting and training in providing the skilled people needed for their operation in the short and long run as well. The study was done as a case study of the medium and large size hotels which have a minimum of 250 units each in the Miami area. However, the study has been generalized where it is possible, and when data permitted. The primary data was collected by the use of the questionnaire survey method composed of key questions about recruiting, training and sources of skilled people, turnover reasons, etc. Eight tables have been constructed, analyzed and interpreted. A personal opinion was mentioned in the interpretation of each table's data. It was found that personnel management should provide a better recruiting and developing procedures in order to attract more qualified people, particularly among the youngsters who are potential skilled workers for the future. It was concluded that the quality of work life, the benefits, and the opportunities for advancement in the food and beverage operations play a significant role in an employee's decision to stay with a particular job, and to acquire the necessary skills.
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Abstract Purpose The purpose of the study is to review recent studies published from 2007-2015 on tourism and hotel demand modeling and forecasting with a view to identifying the emerging topics and methods studied and to pointing future research directions in the field. Design/Methodology/approach Articles on tourism and hotel demand modeling and forecasting published in both science citation index (SCI) and social science citation index (SSCI) journals were identified and analyzed. Findings This review found that the studies focused on hotel demand are relatively less than those on tourism demand. It is also observed that more and more studies have moved away from the aggregate tourism demand analysis, while disaggregate markets and niche products have attracted increasing attention. Some studies have gone beyond neoclassical economic theory to seek additional explanations of the dynamics of tourism and hotel demand, such as environmental factors, tourist online behavior and consumer confidence indicators, among others. More sophisticated techniques such as nonlinear smooth transition regression, mixed-frequency modeling technique and nonparametric singular spectrum analysis have also been introduced to this research area. Research limitations/implications The main limitation of this review is that the articles included in this study only cover the English literature. Future review of this kind should also include articles published in other languages. The review provides a useful guide for researchers who are interested in future research on tourism and hotel demand modeling and forecasting. Practical implications This review provides important suggestions and recommendations for improving the efficiency of tourism and hospitality management practices. Originality/value The value of this review is that it identifies the current trends in tourism and hotel demand modeling and forecasting research and points out future research directions.
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Research has shown that performance differences exist between brand-affiliated hotels and unaffiliated properties. However, the extant empirical results are mixed. Some research has shown that brands outperform unaffiliated hotels on various metrics, whereas other research has shown the opposite. This article analyzes this issue using a matched-pair approach where we compare the performance differences of brand-affiliated and unaffiliated properties between 1998 and 2010. The matched-pair approach ensures that local competitive conditions as well as hotel characteristics are the same across the comparison pair. In addition, all potential omitted-variable bias and model misspecifications are avoided. Thus, to address our research question, we compare branded hotels with unaffiliated properties that are identical in age, market segment, location, and duration of operation, as well as having a similar number of rooms. Our analysis shows that performance differentials are present, albeit not systematic. We found no consistent advantages in all segments for either the affiliated hotels or the comparable unaffiliated properties, taking into account our comparison factors. That said, the methodology of our approach yields results that are more informative to the affiliation choice of owners and to the growth strategies of hotel brand–owner companies than those of previous empirical studies.
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Hotel chains have access to a treasure trove of “big data” on individual hotels’ monthly electricity and water consumption. Benchmarked comparisons of hotels within a specific chain create the opportunity to cost-effectively improve the environmental performance of specific hotels. This paper describes a simple approach for using such data to achieve the joint goals of reducing operating expenditure and achieving broad sustainability goals. In recent years, energy economists have used such “big data” to generate insights about the energy consumption of the residential, commercial, and industrial sectors. Lessons from these studies are directly applicable for the hotel sector. A hotel’s administrative data provide a “laboratory” for conducting random control trials to establish what works in enhancing hotel energy efficiency.
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Macroeconomic models based on the Phillips Curve predict that as the unemployment rate declines toward the long-run, natural rate, the pace of wage and price growth accelerates and inflation rises.1 In this paper I analyze the profitability prospects for the U.S. hotel industry in today’s relatively volatile economic environment, keeping in mind the Phillips Curve’s general principle that inflation and employment have an inverse, but relatively stable short-term relationship. Although employment and economic growth in the U.S. have been uneven in recent months, the unemployment rate has declined to less than 5 percent, which many economists believe is close to the natural rate. Growth in wages and salaries, as measured by the Employment Cost Index, has concurrently been moving upward between 2.5 and 3.0 percent during the past 12 months. At the same time, general inflation remains below levels that might typically be expected this late in the cycle, although core inflation is bumping up against the Federal Reserve’s 2-percent target. If the inflation rate continues to move upward as predicted by Phillips Curve models (and encouraged by the Federal Reserve), rising labor costs and other expenses will exert downward pressure on U.S. business profits. Backward movement up the Phillips Curve (with greater inflation) coincides with an expanding economy. In that scenario, prices of goods and services also will rise in real terms if their supply cannot keep up with demand, and producers have the ability to raise prices (absent fixed-price contracts such as leases).
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Several studies have been undertaken or attempted by industry and academe to address the need for lodging industry carbon benchmarking. However, these studies have focused on normalizing resource use with the goal of rating or comparing all properties based on multivariate regression according to an industry-wide set of variables, with the result that data sets for analysis were limited. This approach is backward, because practical hotel industry benchmarking must first be undertaken within a specific location and segment.1 Therefore, the CHSB study’s goal is to build a representative database providing raw benchmarks as a base for industry comparisons.2 These results are presented in the CHSB2016 Index, through which a user can obtain the range of benchmarks for energy consumption, water consumption, and greenhouse gas emissions for hotels within specific segments and geographic locations.
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Tourism and hospitality scholars and educational institutions in developing countries can benefit from systematic analysis of their counterparts in developed countries. Using the framework of sustainable competitive advantage, this paper explores the key organizational resources of the School of Hotel Administration at Cornell University that have assured its position as the leading hospitality program worldwide. The paper analyses key resources Cornell Hotel School uses to leverage and sustain its competitive advantage. Suggestions for positioning and enhancing future Chinese tourism and hospitality programs are provided. [Abstract in Chinese] 中国旅游发展起步较晚,在旅游教育的多数领域落后于西方发达国家。选择西方优秀旅游院系进行系统研究并总结其成功经验,对于提高我国旅游教育水平有着重要的意义。本文以持续竞争优势理论为框架,以全球旅游接待业教育的典范——康乃尔酒店管理学院为对象,详细分析了这所著名酒店学院的核心资源和确保其长期保持领袖地位的持续竞争优势,并提出可供中国旅游教育界参考借鉴的措施建议
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The electrical outage in the summer of 2003 that interrupted power to thousands of hotels wrought a variety of facilities failures and service-process problems. Fortunately, strong service-recovery efforts from hotel employees mitigated the worst of the blackout’s effects. Using survey data from hotel managers who experienced the blackout, this study highlights those employee actions that most contributed to immediate service recovery; however, the study also reveals limited organizational learning or efforts to failsafe hospitality service from the eventuality of future power failures.
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This dissertation investigates customer behavior modeling in service outsourcing and revenue management in the service sector (i.e., airline and hotel industries). In particular, it focuses on a common theme of improving firms’ strategic decisions through the understanding of customer preferences. Decisions concerning degrees of outsourcing, such as firms’ capacity choices, are important to performance outcomes. These choices are especially important in high-customer-contact services (e.g., airline industry) because of the characteristics of services: simultaneity of consumption and production, and intangibility and perishability of the offering. Essay 1 estimates how outsourcing affects customer choices and market share in the airline industry, and consequently the revenue implications from outsourcing. However, outsourcing decisions are typically endogenous. A firm may choose whether to outsource or not based on what a firm expects to be the best outcome. Essay 2 contributes to the literature by proposing a structural model which could capture a firm’s profit-maximizing decision-making behavior in a market. This makes possible the prediction of consequences (i.e., performance outcomes) of future strategic moves. Another emerging area in service operations management is revenue management. Choice-based revenue systems incorporate discrete choice models into traditional revenue management algorithms. To successfully implement a choice-based revenue system, it is necessary to estimate customer preferences as a valid input to optimization algorithms. The third essay investigates how to estimate customer preferences when part of the market is consistently unobserved. This issue is especially prominent in choice-based revenue management systems. Normally a firm only has its own observed purchases, while those customers who purchase from competitors or do not make purchases are unobserved. Most current estimation procedures depend on unrealistic assumptions about customer arriving. This study proposes a new estimation methodology, which does not require any prior knowledge about the customer arrival process and allows for arbitrary demand distributions. Compared with previous methods, this model performs superior when the true demand is highly variable.
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Dissertação de Mestrado, Direção e Gestão Hoteleira, Escola Superior de Gestão, Hotelaria e Turismo, Universidade do Algarve, 2016
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Dissertação de Mestrado, Economia do Turismo e Desenvolvimento Regional, Faculdade de Economia, Universidade do Algarve, 2016
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Nos dias de hoje e face às exigências do mercado e concorrentes, existe uma maior necessidade de diferenciação, é importante que cada empresa se adapte aos seus clientes e não imite as estratégias da concorrência, pois cada empresa é única. Os clientes não procuram apenas um produto, pretendem um atendimento personalizado de acordo com as suas necessidades. Atualmente, muitas empresas recorrem ao Marketing Relacional, que é uma mais-valia que as permite ser únicas em relação à concorrência. Com o Marketing Relacional surge a ferramenta CRM, uma das ferramentas que melhor se adapta quando o objetivo é desenvolver um relacionamento sustentável e duradouro com os clientes. A identificação de ações de fidelização é também algo muito importante para as empresas que procuram posicionar-se e diferenciar-se melhor que os seus concorrentes, gerando mais lucros e, também uma melhor satisfação aos seus clientes. Estas são essenciais para o bom desempenho de uma organização, é através destas ações que uma empresa utiliza mais adequadamente os seus recursos, minimizando os problemas e maximizando as oportunidades que surgirão. Estas têm uma importante função entre as empresas e os clientes, os concorrentes e os stakholders, ou seja, focam explicitamente a vantagem competitiva e a vantagem de clientes em longo prazo. Ainda que adaptado a uma empresa em evolução, as ações que irão ser propostas no relatório são possíveis de ser concretizadas, mas terá de se ter em conta o meio ambiente, economia e crescimento de mercado. Pelo facto do hotel não constituir nenhum modelo de implementação de ações de CRM específico, este relatório de estágio pode ser considerado uma mais-valia e um avanço no crescimento a longo prazo da mesma, permitindo assim um relacionamento duradouro entre o hotel e o cliente.