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CASE STUDY REPORT MOBILE PHONE CONSUMER MARKET NAME: PHAM MINH DUY CLASS: MBAOUM0512-2C Hanoi‚ March 2006 CONTENTS LIST OF FIGURES AND TABLES PREFACE CHAPTER I: GENERAL INTRODUCTION OF RESEARCH 1. Context and meaning of research 2. Objectives of research 3. Methodology of research 3.1. Data sources 3.1.1. Secondary data 3.1.2. Primary data 3.2. Analyzing method 3.2.1. Statistic description analysis 3.2.2. Econometric(quantitative
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1. The Broadway Café History The café‚ I inherited from my grandfather is located Downtown Raleigh‚ NC on the Fayetteville Street. The café offers many different kinds of specialized coffees‚ teas‚ a full service bakery‚ and homemade sandwiches‚ soups‚ and salads. My grandfather first opened the Broadway Cafe in 1952 and it has been a local hotspot for many years. Unfortunately the business has been declining for the last five years and inevitably is going to hit the wall soon if some staple measurements
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Operation Redwing is the most tragic mission is SEAL history‚ with everyone died‚ but one man who was able to pass on the story in the novel Lone Survivor which was also later adapted into a movie. Although the book and movie both have the same story about a SEAL surviving against all odds‚ there are still some differences between the book and the movie. In the movie‚ Lone Survivor‚ there are a lot of similar things that also happened during the tragic real life mission. For example‚ the author of the book
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Answering the questions on the text: "Hard Rock Cafe - Forecasting" 1. Describe three different forecasting applications at Hard Rock. Name three other areas in which you think Hard Rock could use forecasting models. Hard rock café divide the forecast in long term methods where the expectations are to establish a better capacity plan and short term methods where they look for good contracts with suppliers for leather goods (clothes etc.) and definately to be more negotiable with the suppliers
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1. Identify suitable business data‚ data elements‚ data types‚ and resources‚ based on the following interview between a database analyst and a lecturer from Sutherland University: Business Data Data Elements Data Types Resources Course Course code Course name Course start date Course end date Integer Character Date Date Admin Classes Class name Start date End date Time Location Class capacity Integer Date Date Date time Integer Variable Admin Students Student ID
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situations‚ across domains and industries‚ using quantitative and/or qualitative analysis techniques. B. Instruction Methodology: Case Discussions. The students are advised to go through the specified cases along with the study material required for that case. C. Suggested Titles (Text and Reference): 1. Research Methodology (concepts & cases); Deepak Chawla & Neena Sondhi‚ Vikas Publishing (prescribed) 2. Business Research Methods: William G. Zikmund‚ Thomson South
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Proposing a Solution I live outside of a small town of 3‚000 people. The water system of our small town supplies drinking water to a population of 3‚000 to 5‚000. Our water system has been in place for 20 plus years and neglect has been rampant for almost the same period of time. Public water systems are governed by regulations and monitored by the State of Louisiana. The Town of Ferriday has been under state mandated “boil orders” more times that you could count. One of the more recent events
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Links: Cyberia: one of the world ’s first Internet cafés‚ London‚ 1994 A solar powered internet café in San Juan del Sur‚ Nicaragua.
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CRU Computer Rental Case Solutions Solution 1 TABLE 1: CRU FLOWS | Customer | Receiving | Status 24 | Status 40 | Stored Orders | Orders at Suppliers | Status 41 | Status 42 | Status 20 | | | | | | | | | | | Throughput(Units/Week) | 1000 | 1000 | 1000*.70=700 | 1000*.30+ .15*700= 405 | 405 | 405 | 405 | 405 | 1000 | | | | | | | | | | | Inventory(Units) | 8000= 8*1000 | 500 | 1500 | 1000 | 500 | 405= 405*1 | 500+405 = 905 | 500 | 2000=2*1000 | | | | | |
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