Note on the global hotel industry 1. Evaluate the hotel industry (you can use Porter’s Five Forces Model as a conceptual tool) The five forces that impact competitiveness which are outlined in Porter’s 1980 work are: barriers to entry‚ threat of substitutes‚ bargaining power of buyers and sellers‚ and the rivalry
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Forecasting Forecasting is a prediction of what will occur in the future. It is an uncertain process that is vital to survival in today’s international business environment. Rapid technological advances have given consumers greater product diversity as well as more information on which they make their product choices. Managers try to forecast with as much accuracy as possible‚ but that is becoming increasingly difficult in today’s fast-paced business world. Forecast Methods There are two
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Resort & Spa‚ Goa‚ India is a five star leisure hotel which attracts clients from all over the world. This hotel has many departments‚ but the crucial ones are food & beverage service (waiting)‚ food & beverage production (kitchen)‚ housekeeping (cleaning & maintenance) and front office (receptionist).From which there is a lot of staff movement particularly in the service department of the hotel‚ every two to three month there are staff leaving the hotel and at the same time there are recruitments taking
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Keywords: cloud computing‚ Quality of Service‚ hotel industry Abstract. This research focuses on the major issues that weigh upon a hotel company’s decision to implement cloud computing. In this study there was a random selection done for 15 hotels (5 hotels five stars chains‚ 5 franchised hotels 3 and 4 stars and 5 local hotels). The aim of this paper revolves to (I) Study and analyze the major issues have an impact on hotel company’s decision to move to cloud computing. (II) Test the current
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hospitality industry‚ there are several we need to keep an eye on but three we need to focus on. Either by collaboration or by competition we must be willing to change and adapt while still maintaining a focus on excellent customer service and staff retention. This is not as easy as it sounds‚ as it is a delicate balance‚ but VITAL if you are in the hospitality industry to stay. When looking at the future and what key findings we should analyze when concerning the hospitality industry‚ there are
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GROWTH OF HOTEL INDUSTRIES IN INDIA Over the last decade and half the mad rush to India for business opportunities has intensified and elevated room rates and occupancy levels in India. Even budget hotels are charging USD 250 per day. The successful growth story of ’Hotel Industry in India’ seconds only to China in Asia Pacific. ’Hotels in India’ have supply of 110‚000 rooms. According to the tourism ministry‚ 4.4 million tourists visited India last year and at current trend‚ demand will soar
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Forecasting Cassandra Harris HSM/260 5/3/2015 Cynthia Cucuzza Forecasting Exercise 9.1 The following data represent total personnel expenses for the Palmdale Human Service Agency for past four fiscal years: 20 X 1 = $5‚250‚000 20 X 2 = $5‚500‚000 20 X 3 = $6‚000‚000 20 X 4 = $6‚750‚000 Forecast personnel expenses for fiscal year 20X5 using moving averages weighted moving averages‚ exponential smoothing‚ and time series regression. For moving averages and weighted moving averages‚ use only the data
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EVOLUTION OF HOTEL INDUSTRY: Overall Growth in 2005 -2006 OVERALLGROWTH IN 2005 - 06 OCCUPANCY RATE : 2.6% AVERAGE RATE : 23.7% REVP : 26.9% (IN IMR AND 28.1% IN USD) HOTEL: Hotel or Inn may be defined as an establish‚ment whose primary business is providing paid lodging facilities for the general public‚m and which furnishesone or more of the services like - Food & Beverages Services‚ Concierge‚ Bell or Door Attendants Service‚ laundry or Dry Cleaning‚ and use of furniture and
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FORECASTING FORECASTING The Role of the Manager Planning Organizing Staffing Leading Controlling Future ? Data Information • Short-range • Medium-range • Long-range Features Common to All Forecasts Forecasting techniques generally assume that same underlying causal system that existed in the past will continue to exist in the future. Forecasts are rarely perfect. Forecasts for groups of items tend to be more accurate than forecasts for individual items. Forecast
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Forecasting Why forecast? Features Common to all Forecasts • Conditions in the past will continue in the future • Rarely perfect • Forecasts for groups tend to be more accurate than forecasts for individuals • Forecast accuracy declines as time horizon increases Elements of a Good Forecast • Timely • Accurate • Reliable (should work consistently) • Forecast expressed in meaningful units • Communicated in writing • Simple to understand and use Steps in Forecasting Process
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