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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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Case Study Hy Dairies‚ Ltd. 1. What symptoms exist to suggest that something has gone wrong? The sales volume and market share of Hy Dairies’ gourmet ice cream brand had picked up significantly over the past two quarters compared with the previous year. As the vice president of marketing at Hy Dairies‚ Syd Gilman credited this achievement to Rochelle Beauport‚ the assistant brand manager at the time‚ and decided to reward her with a newly vacated post of marketing research coordinator. Based
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Introduction NFI ltd is well known as a manufacturer company that has been producing accessories for both women and men. The company has been operating for more than 10 years and is famous for creating the most affordable accessories‚ yet very high in quality. NFI ltd has produced over 100 thousands of accessories over the 10 years. Each year‚ the demand of the accessories produced by NFI ltd has increased rapidly over Asia. The company has targeted to distribute their product through Europe and
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Chapter 6- Case study- Big Data‚ Big Rewards 1. Describe the kinds of big data collected by the organizations described in this case. The organizations described in this case are The British Library‚ NYPD‚ Vestas and Hertz. Each of these organizations collects different kinds of data. The British Library has to accommodate about 6 billion searches annually and collects and preserves all websites that are of any historical significance. This also includes websites of past politicians. NYPD collects
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Throughout case two‚ there are many medications mentioned. Some of the medications do not directly pertain to the patient‚ BB‚ and are instead prescribed for his brother‚ SB. However‚ it is important to go through each and every drug in this case in order to better understand why certain drugs were prescribed and their impact on the clinical outcomes of both BB and his brother SB. Additionally‚ it is important to remember the patient’s age when evaluating these drugs as some may not be appropriate
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Blackmores Ltd Table of Contents 1 introduction 1 2 2 3 Corporation Background 3 3.1 Organization 3 3.2 Market Position 3 3.3 Government Impact 4 3.4 Description of Competitors 4 4 Capital Structure 6 4.1 Blackmores’ Current & Historical Leverage 6 4.1.1 Debt to Equity Ratio 6 4.1.2 Degree of Financial Leverage and Operating Leverage 8 4.2 Capital Expenditure and Financing 9 4.3 Capital Structure Relative to Competitors 10 4.4 Bankruptcy Risk Assessment 11 4.5 Leverage
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1. Analyze the attractiveness of the airline industry pre 9/11. How attractive was the industry before 9/11? Was it profitable? Was there growth? Was there strong competition or not? If so‚ in what sectors? PESTEL Analysis of the Airline Industry Pre 9/11 Political Government support for national carriers (Johnson‚ Gerry. 2011‚ pg51) Security Controls (Johnson‚ Gerry. 2011‚ pg51) Investment support Restrictions on migration (Johnson‚ Gerry. 2011‚ pg51) Deregulations
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3 3.2 Market Position 3 3.3 Government Impact 4 3.4 Description of Competitors 4 4 Capital Structure 6 4.1 Blackmores’ Current & Historical Leverage 6 4.1.1 Debt to Equity Ratio 6 4.1.2 Degree of Financial Leverage and Operating Leverage 8 4.2 Capital Expenditure and Financing 9 4.3 Capital Structure Relative to Competitors 10 4.4 Bankruptcy Risk Assessment 11 4.5 Leverage Policy Summary 12 4.6 Is this the Optimal Leverage Policy? 13 5 Dividend Policy 14 5.1
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QAUNTITATIVE TECHNIQUES SOLUTION FOR THE CASE CUTTING CAFETERIA COSTS LPP MODEL FOR CAFETERIA COST CUTTING Objective: To reduce the purchase of potato and green beans‚ so as to meet the conditions of the various constraints to achieve the goal of minimizing the purchase cost. Constraint conditions: Potatoes Green Beans Protein 1.5 g per 100 g → 1.5% 2 g per 100 g → 2% Iron 0.3 mg per 100 g → 0.3% 1.2 mg per 100 g → 1.2% Vitamin C 12 mg per 100 g → 12% 10 mg per 100 g → 10%
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