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Monitoring competitors’ performance and strategies is a key aspect of an external audit. This exercise is designed to give you practice evaluating the competitive position of organizations in a given industry and assimilating that information in a CPM. Instructions Step 1 Join with two other students in class and prepare an EFE Matrix for Nestlé. Refer back to the Cohesion Case and to Exercise 1B, if necessary, to identify external opportunities and threats. Use the information in the Standard and Poor’s Industry Surveys that you copied as part of Assurance of Learning Exercise 1B. Be sure not to include strategies as opportunities, but do include as many monetary amounts, percentages, numbers, and ratios as possible. Step 2 On a separate sheet of paper, prepare a CPM that includes Michelin and its two leading competitors: Bridgestone Corporation and Goodyear Tire and Rubber Company. Step 3 Turn in your CPM for a class work grade.

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In performing strategic management case analysis, you can find information about the company’s actual and planned strategies. Comparing what is planned versus what you recommend is an important part of case analysis. Do not recommend what the firm actually plans, unless in-depth analysis of the situation reveals those strategies to be the best among all feasible alternatives. This exercise gives you experience conducting library and Internet research to determine what Nestlé plans to do in 2015–2017. Instructions Step 1 Go the Nestlé’s corporate website as well as the www.finance.yahoo.com website. Locate information about Nestlé’s recent strategic actions. Step 2 Prepare a three-page report titled “Strategies Being Pursued by Nestlé in 2015–2017.â€Â

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Facebook (A) Miranda Shaw was stymied. She had been on the verge of hiring a highly talented recent business school graduate, Rick Parsons, as a senior analyst for her project team. It had been a choice between Parsons and Deborah Jones, another very promising hire. Both Parsons and Jones had graduated from the same highly ranked business school that Shaw had attended, had the appropriate work backgrounds, and had performed well in their multiple rounds of interviews. From their conversations, Shaw believed either one would be a good choice for the company. While she had had a hard time deciding, she was leaning toward hiring Parsons because of his leadership skills and his reputation for tireless energy and great communication skills. Before making her final decision, Shaw- almost in desperation, because she needed to submit her recommendation to human resources immediately–had “Googled†both of the candidates. What she had discovered about Parsons both in her Google search results and on Facebook, while not necessarily a deal breaker, was disturbing enough that she had to rethink her opinion. Shaw was a manager at a leading consulting firm. She had worked her way up from intern after four years and was on the fast track to making partner. Her company was a special place, and, as she had seen over the past few years, it took a special type of consultant to work there. She remembered plenty of cases where new hires had left the company in the first few months because they did not fit in with the high-energy and high- commitment work environment. She had seen several projects delayed or worse because of personnel issues. This high turnover was not good for the company, because it invested significant time, energy, and funds to train and mentor new hires. Shaw believed in the adage that “you are only as good as the people who work for you,” and she knew that making the right hiring decisions was critical to her success at the firm. Shaw had to take these factors into consideration as she decided between two equally qualified candidates for the position.

In her web search, Shaw was initially impressed with Parsons. He was obviously very involved in non-profit work and had won a number of community service awards. But she then discovered his Facebook page and found herself quite dismayed. There were several pictures of Parsons with his fraternity brothers; in most, they were drinking, smoking cigarettes, and in his own wordsâ€â€Ã¢â‚¬Å“smokin’ blunts.” This term, Shaw learned after a little research, meant smoking cigars hollowed out and stuffed with marijuana.

She then turned her Google efforts to Jones. She did not discover any personal information about Jones, nor did she find Jones on Facebook. There were only work-related sites that listed Jones as an effective project member.

Shaw sighed in dismay. She had been poised, only an hour earlier, to submit her recommendation to hire Parsons. Now she was not sure what to do.

Facebook (B)
BASED on her Google search and the Facebook photographs, Miranda Shaw concluded that Rick Parsons would not fit in with the professional work environment at the company and of the team in particular. She knew how much time and money could be wasted on hiring the wrong person. She concluded that she should offer the position to Deborah Jones.

While she was mostly proud of her resourcefulness, Shaw was a little uneasy about her decision. Although information on the internet was public and people controlled what they posted online, Shaw was not certain that it was fair to use web information in her hiring decision. After all, the candidate had not offered it willingly, and Shaw had not told Parsons or Jones that she would be researching them online. She did not, however, have either the time or resources to waste on hiring another bad fit. She was sure that most employers used Google and other internet sources in hiring, though few admitted it. Nonetheless, she was not comfortable with her research methods and wondered how long this discomfort would last.

7. If Miranda does tell Rick, how should she do so? In answering, consider the chapter sections Basic Principles of Effective Communication and Provision of Explanations

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The chart below shows last year’s sales data on widgets adjusted for the number of sale days in the month. Believing there is no seasonal variation, the company has used the previous month’s sales as forecasting data. On the first day of each month, the demand manager compiles last month’s sales figures and forecast sales for the new month.(200 POINTS)

a. What would the October sales forecast have been using a four-month moving average?

b. What would the November sales forecast have been using a four-month moving average?

c. What would the October sales forecast have been using a four-month weighting scale of 0.40, 0.30, 0.20, and 0.10?

d. Using exponential smoothing with a (+0.40), what would the sales forecast have been for October if the September forecast had been 380.

e. What would the November forecast have been using exponential smoothing?

  1. Month

    Sales

    Month

    Sales

    January

    360

    July

    378

    February

    360

    August

    375

    March

    355

    September

    385

    April

    365

    October

    390

    May

    375

    November

    380

    June

    370

    December

    370

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