Cornell Hospitality Quarterly http://cqx.sagepub.com/ Hotel Guests ’ Responses to Service Recovery: How Loyalty Influences Guest Behavior Pablo Zoghbi-Manrique-de-Lara‚ Miguel A. Suárez-Acosta and Teresa Aguiar-Quintana Cornell Hospitality Quarterly published online 28 November 2013 DOI: 10.1177/1938965513513348 The online version of this article can be found at: http://cqx.sagepub.com/content/early/2013/11/27/1938965513513348 A more recent version of this article was published on - Mar
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A HOTEL PRACTICUM REPORT ON IVORY HOTEL AND SUITES Buntun Highway‚ Tuguegarao City‚ Cagayan‚ Philippines April 23‚ 2013 to May 18‚ 2013 In partial fulfillment of the requirements for the course HIM 71 Hotel Practicum (OJT) For the degree in Bachelor of Science in Hospitality Industry Management COLLEGE OF HOSPITALITY INDUSTRY MANAGEMENT Cagayan State University Andrews Campus‚ Tuguegarao City SUBMITTED TO: CRISTINA S. SORIANO SUBMITTED BY: ANDREA S. LACAMBRA SUBMITTED
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Accommodation industry Accommodation generally refers to the house of temporary stay‚ which consist bedrooms‚ apartments and halls the accommodation industry was comprised of living rooms to slep or occupy and might be reserved and occupy with or without contract for temporary period. Accommodation industry is consideration one of the largest industry in the world .Ti is glamour and full of excitement to through of the history the leading industry has provided travelers ‚”A home away from home
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Forecasting Assignment Forecasting as a Process‚ not a Hunch Generally speaking‚ managers are faced with decision situations in which they should obtain complete and perfect information and eliminate uncertainty‚ however evaluating data rationally and logically is the toughest part of the decision-making process and that is where forecasting comes into play. The process of utilizing business forecasting is critical to a company’s production or operations department regardless of whether a
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Forecasting: The McDonald ’s Way McDonald’s is a well-known worldwide franchise and has been around since the 1950s. Serving customers for over 50 years successfully entails a strong inventory and operations management system. “McDonald ’s is the world ’s #1 fast-food company by sales‚ with more than 33‚500 restaurants serving burgers and fries in 119 countries” (University of Phoenix [UOP]‚ 2012‚ p. 2). To maintain and continue a successful franchise operation‚ quality food items‚ and highly successful
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FORECASTING IN QUANTITATIVE ANALYSIS I am highly honoured to give a presentation on forecasting. You are all welcome. Every organisation’s success depends on how well it is able to forecast. We will look at the meaning of forecast‚ the steps‚ qualitative and quantitative forecasting and finally the benefits. The Meaning Of Forecasting Forecasting is a process of predicting or estimating the future based on past and present data. Forecasting provides information about the potential future events
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contraction‚ growth was estimated at only 0.3%. Inflation had jumped to 6.1% in 2000‚ but moderated to 3.7% in 2001‚ and was projected at only 1% in 2002. Unemployment remains a serious problem. In 2001‚ agriculture accounted for about 10% of GDP; industry‚ 32%; and services‚ 58%. GDP has subsequently increased each year‚ rising by 5% in 2000. Successful privatization in 2000 boosted the country ’s reserves to over $700 million. Also‚ the leadership demonstrated a continuing commitment to economic
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CHAPTER 1 INTRODUCTION Demand forecasting refers to the prediction or estimation of a future situation under given constraints. Demand Forecasting is the activity of estimating the quantity of a product or service that consumers will purchase. Demand forecasting involves techniques including both informal methods‚ such as educated guesses‚ and quantitative methods‚ such as the use of historical sales data or current data from test markets. Demand forecasting may be used in making pricing decisions
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Methods and Techniques of Sales Forecasting by Kenneth Hamlett‚ Demand Media Sales forecasting methods and techniques vary from company to company. Every company that uses sales forecasts possesses its own technique to approach the forecasting process. Some companies have a dedicated team of forecast professionals while others use the sales staff to generate the forecast. The statistical methods used to generate the sales forecast depend on the demand profile of the product. Statistical forecast
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