دانلود و نمایش مقالات مرتبط با Hotel chain::صفحه 1
بلافاصله پس از پرداخت دانلود کنید

با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد). 

نتیجه جستجو - Hotel chain

تعداد مقالات یافته شده: 6
ردیف عنوان نوع
1 Hotel location when competitors may react: A game-theoretic gravitational model
مکان هتل وقتی که رقبا ممکن است واکنش نشان دهند: یک مدل نظری گرانشی بازی-2018
This paper presents a hotel location model that incorporates concepts from both game theory and gravitational site location models. We consider a hotel chain intending to build new hotels in a given region. Customers travel to the region to visit some specific points, termed “attractions”, and they choose a hotel according to room price, location and hotel attractiveness. Competitor hotels react to the new hotels by changing prices, in order to maximize their own profits, so the final set of prices will be a Nash equilibrium. We propose an iterative procedure for finding the equilibrium prices and a genetic algorithm-based procedure for finding the optimal strategy, in terms of new hotels to be built and respective typologies. Using a mini case, we illustrate and analyse the influence of several parameters. Then, we present computational experiments, concluding that the proposed procedures are effective in finding good solutions for the model.
keywords: Tourism site location| Game theory| Genetic algorithms| Spatial interaction models
مقاله انگلیسی
2 Using big data from Customer Relationship Management information systems to determine the client profile in the hotel sector
استفاده از داده های بزرگ حاصل از سیستمهای اطلاعاتی مدیریت رابطه با مشتری برای تعیین ویژگی مشتری در بخش هتل-2018
Client knowledge remains a key strategic point in hospitality management. However, the role that can be played by large amounts of available information in the Customer Relationship Management (CRM) systems, when addressed by using emerging Big Data techniques for efficient client profiling, is still in its early stages. In this work, we addressed the client profile of the data in a CRM system of an international hotel chain, by using Big Data technology and Bootstrap resampling techniques for Proportion Tests. Strong consistency was found on the most representative feature of repeaters being traveling without children. Profiles were more similar for British and German clients, and their main differences with Spanish clients were in the stay duration and in age. For a vacation chain, these results suggest further analysis on the target orientation towards new market segments. Big Data technologies can be extremely useful for analyzing indoor data available in CRM information systems from hospitality industry.
keywords: Big data |Hospitality industry |Customer relationship management |Client profile |Bootstrap resampling |Hotel chains
مقاله انگلیسی
3 Modeling and forecasting hotel room demand based on advance booking information
مدلسازی و پیش بینی تقاضای اتاق در هتل برمبنای اطلاعات پیشرفته ثبت نام-2018
This study develops a stochastic approach to the short-term forecasting of hotel booking arrivals. We investigate the key characteristics of booking arrivals, specifically the time-varying arrivals rates, high variability in the final demand, and the strong positive correlations between arrivals in different time periods. We examine three Poisson mixture models to capture these salient features of booking arrivals. In particular, the presence of strong inter-temporal correlations can be leveraged for forecasting future arrivals based on the early realizations. We suggest a new forecasting method that exploits the intrinsic correlations between early and late bookings and then present validation results of data from a major hotel chain along with a comparison to benchmark models. Our empirical study confirms that our dynamic updating method leveraging inter-temporal correlations can significantly improve the short-term forecasting accuracy of hotel room demand.
keywords: Hotel demand forecasting |Hotel demand |Advance booking |Non-homogeneous poisson process |Poisson mixture models |Multivariate distribution
مقاله انگلیسی
4 How power distance affects online hotel ratings: The positive moderating roles of hotel chain and reviewers’ travel experience
چگونه فاصله توانی بر رتبه بندی های آنلاین هتل اثر می گذارد؟ نقش های واسطه ای مثبت زنجیره هتل و تجربه سفر بازدید کننده-2018
This study investigates the collective influences of cultural, hotel, and reviewer characteristics on online ratings in the hotel sector. Based on over 243,000 TripAdvisor reviews for hotels in 24 US cities, we empirically find a negative relationship between the reviewers power distance and their online hotel ratings, thereby indicating that cultural factor plays a significant role in the customers’ online rating behavior. The negative effect of power distance on online hotel ratings is weaker for chained hotels than for independent hotels. This negative effect is also weaker for reviewers with more travel experience than for those with less travel experience. The robustness check demonstrates that these findings are applicable for ratings on product features that involve staff interactions, such as service, value, rooms, and cleanliness.
keywords: Online rating |TripAdvisor |Hotel |Power distance |Hotel chain |Reviewer travel experience |Multidimensional rating
مقاله انگلیسی
5 Using big data from Customer Relationship Management information systems to determine the client profile in the hotel sector
استفاده از داده های بزرگ از سیستم های اطلاعات مدیریت ارتباط با مشتری برای تعیین مشخصات مشتری در بخش هتل-2018
Client knowledge remains a key strategic point in hospitality management. However, the role that can be played by large amounts of available information in the Customer Relationship Management (CRM) systems, when addressed by using emerging Big Data techniques for efficient client profiling, is still in its early stages. In this work, we addressed the client profile of the data in a CRM system of an international hotel chain, by using Big Data technology and Bootstrap resampling techniques for Proportion Tests. Strong consistency was found on the most representative feature of repeaters being traveling without children. Profiles were more similar for British and German clients, and their main differences with Spanish clients were in the stay duration and in age. For a vacation chain, these results suggest further analysis on the target orientation towards new market segments. Big Data technologies can be extremely useful for analyzing indoor data available in CRM information systems from hospitality industry.
Keywords: Big data ، Hospitality industry ، Customer relationship management ، Client profile ، Bootstrap resampling ، Hotel chains
مقاله انگلیسی
6 آشفتگی در گردشگری مدیترانه
سال انتشار: 2017 - تعداد صفحات فایل pdf انگلیسی: 7 - تعداد صفحات فایل doc فارسی: 31
از اواسط سال 2015، منطقه مدیترانه توسط یک سری حوادثی که بازارهای مهم گردشگری مثل مصر و تونس را از هم پاشیده است، دچار نوسان شده است. این پدیده همانگونه که ازطریق افزایش قیمت هتلها مشهود است، منجر به یک انحرف قابل توجهی در تقاضای کشورهای شما مدیترانه شده است. با این حال، این رشد در تقاضا گسترده نبوده است. با اینکه این امر به صورت قابل توجهی به مقصدهایی مثل جزایر بالریک سود رسانده است، دیگر مقصدها تاثیر کوچکتری را دیده اند. همچنین، در سطح نوع و دسته شرکت، وضعیت جدید اساسا" به موسسات کم خرج و محدوده – متوسط و هتلهای زنجیره ای بزرگ سود رسانده است. اخیرا" برگزیت (Brexit) به بازار عدم قطعیت افزوده است و هم ارزش پوند انگلیس و هم قیمت سهام شرکتهای بزرگتر را در بخش گردشگری پایین آورده است – پدیده ای که تاثیرات بلند مدتی خواهد داشت.
کلیدواژه ها: منطقه مدیترانه | مهاجر | صنعت هتلداری | قیمت ها | انحراف تقاضا
مقاله ترجمه شده
rss مقالات ترجمه شده rss مقالات انگلیسی rss کتاب های انگلیسی rss مقالات آموزشی
logo-samandehi
بازدید امروز: 799 :::::::: بازدید دیروز: 0 :::::::: بازدید کل: 799 :::::::: افراد آنلاین: 63