Your team is looking for a way to make some revenue as either a for-profit or not-for-profit organization. This organization can market locally, nationally, or internationally. The product that you have decided to sell is lemonade. To make the endeavor work, you will have to define a marketable form of the drink and decide on a target market. Your marketing team's mission is to prove the company's goals will be met by providing research, strategy development, and the reason why this form of the product is viable. For this part of the project report on the following: Discuss the maturity life cycle stages of your product in no more than 90 words for each stage.
In: Operations Management
Conduct a hypothesis test to determine if companies with negative revenue change tend to be on the (500) market less time (and/or how much less time)?
The data is below. Please show all work in excel.
| Company Name | Revenue Change | # Years on Fortune 500 List |
| Walmart | 3.00% | 24 |
| Exxon Mobil | 17.40% | 24 |
| Berkshire Hathaway | 8.30% | 24 |
| Apple | 6.30% | 24 |
| UnitedHealth Group | 8.80% | 24 |
| McKesson | 3.10% | 24 |
| CVS Health | 4.10% | 24 |
| Amazon.com | 27.10% | 17 |
| AT&T | -2.00% | 24 |
| General Motors | -5.50% | 24 |
| Ford Motor | 3.30% | 24 |
| AmerisourceBergen | 4.30% | 24 |
| Chevron | 25.10% | 24 |
| Cardinal Health | 6.90% | 24 |
| Costco | 8.70% | 24 |
| Verizon | 0.00% | 24 |
| Kroger | 6.40% | 24 |
| General Electric | -3.50% | 24 |
| Walgreens Boots Alliance | 0.70% | 24 |
| JPMorgan Chase | 8.00% | 24 |
| Fannie Mae | 4.90% | 21 |
| Alphabet | 22.80% | 13 |
| Home Depot | 6.70% | 24 |
| Bank of America Corp. | 7.00% | 24 |
| Express Scripts Holding | -0.20% | 19 |
| Wells Fargo | 3.80% | 24 |
| Boeing | -1.20% | 24 |
| Phillips 66 | 26.50% | 6 |
| Anthem | 6.10% | 24 |
| Microsoft | 5.40% | 24 |
| Valero Energy | 26.00% | 20 |
| Citigroup | 6.80% | 24 |
| Comcast | 5.10% | 23 |
| IBM | -1.00% | 24 |
| Dell Technologies | 21.40% | 21 |
| State Farm Insurance Cos. | 2.90% | 24 |
| Johnson & Johnson | 6.30% | 24 |
| Freddie Mac | 13.70% | 21 |
| Target | 3.40% | 24 |
| Lowes | 5.50% | 24 |
| Marathon Petroleum | 21.00% | 7 |
| Procter & Gamble | -7.70% | 24 |
| MetLife | 4.20% | 24 |
| UPS | 8.20% | 24 |
| PepsiCo | 1.20% | 24 |
| Intel | 5.70% | 24 |
| DowDuPont | 30.20% | 24 |
| Archer Daniels Midland | -2.40% | 24 |
| Aetna | -4.10% | 18 |
| FedEx | 19.80% | 24 |
| United Technologies | 4.50% | 24 |
| Prudential Financial | 1.50% | 24 |
| Albertsons Cos. | 1.60% | 14 |
| Sysco | 9.90% | 24 |
| Disney | -0.90% | 24 |
| Humana | -1.10% | 24 |
| Pfizer | -0.50% | 24 |
| HP | 7.90% | 24 |
| Lockheed Martin | 0.80% | 24 |
| AIG | -5.40% | 24 |
| Centene | 19.30% | 9 |
| Cisco Systems | -2.50% | 22 |
| HCA Healthcare | 6.50% | 24 |
| Energy Transfer Equity | 26.60% | 12 |
| Caterpillar | 18.00% | 24 |
| Nationwide | 9.60% | 24 |
| Morgan Stanley | 15.00% | 24 |
| Liberty Mutual Insurance Group | 11.40% | 24 |
| New York Life Insurance | 3.70% | 24 |
| Goldman Sachs Group | 12.00% | 19 |
| American Airlines Group | 5.00% | 24 |
| Best Buy | 7.00% | 24 |
| Cigna | 4.90% | 24 |
| Charter Communications | 43.40% | 18 |
| Delta Air Lines | 4.00% | 24 |
| 47.10% | 6 | |
| Honeywell International | 3.10% | 24 |
| Merck | 0.80% | 24 |
| Allstate | 5.40% | 23 |
| Tyson Foods | 3.70% | 24 |
| United Continental Holdings | 3.20% | 24 |
| Oracle | 1.80% | 23 |
| Tech Data | 40.20% | 24 |
| TIAA | -2.90% | 21 |
| TJX | 8.10% | 24 |
| American Express | 5.20% | 24 |
| Coca-Cola | -15.40% | 24 |
| Publix Super Markets | 1.60% | 24 |
| Nike | 6.10% | 24 |
| Andeavor | 42.50% | 19 |
| World Fuel Services | 24.70% | 14 |
| Exelon | 6.90% | 24 |
| Massachusetts Mutual Life Insurance | -11.40% | 24 |
| Rite Aid | 6.90% | 24 |
| ConocoPhillips | 33.80% | 24 |
| CHS | 5.20% | 19 |
| 3M | 5.10% | 24 |
| Time Warner | 6.70% | 19 |
| General Dynamics | -1.20% | 24 |
| USAA | 10.60% | 24 |
In: Math
Q5. What product revenue is growing fastest in % terms? Apple company
In: Finance
summary of the company’s total revenue and expenses at the end of five selected months is as follows.
| Total Revenue | Total Expenses | ||
| March 31 | $ 69,000 | $ 48,000 | |
| June 30 | 129,000 | 90,000 | |
| August 31 | 134,000 | 115,000 | |
| September 30 | 159,000 | 130,000 | |
| December 31 | 249,000 | 175,000 |
Rank the company’s fiscal quarters from most profitable to least profitable.
Compute the company’s income for the month of September.
Compute the company’s net income (or loss) for the first two months of the third quarter. Provide a possible explanation why profitability for the first two months of the third quarter differs significantly from profitability achieved in the third month of the quarter (as computed in part b).
In: Finance
In: Operations Management
What are the internal control weaknesses in the following company's revenue cycle? And what are the potential impacts of these weaknesses on the organization? And give some suggested specific internal controls?
Customers place orders on the company’s website, via email, or by telephone. Due to a renewed interest in music, this year sales have increased significantly. All sales are on credit, with 17% of credit sales in the last 12 months needing to be written off as uncollectible. This included several large online orders to first-time customers who denied ordering or receiving the merchandise.
Customer orders are picked and sent to the warehouse, where they are placed near the loading dock in alphabetical sequence by customer name. The loading dock is used both for outgoing shipments to customers as well as receiving incoming deliveries. There are ten to twenty incoming deliveries every day, from a large number of sources.
The increased volume of sales orders has resulted in a large number of errors where customers have been sent the wrong items. There have also been delays in shipping as items that supposedly were in stock could not be found in the warehouse. Although a perpetual inventory is maintained, there has been no physical count of inventory for over two years. When an item is missing, the warehouse staff notes the information down in a log book. At the end of the week, the warehouse staff uses the log book to update the inventory records.
The system is configured to prepare the sales invoice only after shipping employees enter the actual quantities sent to a customer, thereby ensuring that customers are billed only for items actually sent and not for anything on back order. Terms of trade are payment within 21 days of invoicing, with a 2% discount offered for payments made within 5 days. Approximately 50% of Strings long standing repeat customers pay within the 5 days.
In: Finance
Your team is looking for a way to make some revenue as either a for-profit or not-for-profit organization. This organization can market locally, nationally, or internationally, and can be a privately-owned company or a franchised organization. The product that you have decided to sell is lemonade. To make the endeavor work, you will have to define a marketable form of the drink and decide on a target market.
Your marketing team's mission is to prove through research, strategy development, and reasoning why this form of this product is viable and will meet the company's goals. In the first half of this project, your team will complete this worksheet to report on the following:
Describe how you will define the lemonade to your target market (including information on packaging, labeling, etc.) in no more than 90 words. Determine how this adds value and differentiates the brand and product from the competition while encouraging the target market to buy.
1. Definition of Target Market
2. Differentiation
2. Differentiation
In: Operations Management
In the divisional structure, if there were a separate sales organization responsible for providing revenue for each of the divisions, what are advantages and disadvantages of such a structure?
What if the structure was that way from the outset and an acquisition was made of a company with its own sales force. how hard would it be to integrate the acquired company into the new structure?
In: Operations Management
The following data includes the year, make, model, mileage (in
thousands of miles) and asking price (in US dollars) for each of 13
used Honda Odyssey minivans. The data was collected from the Web
site of the Seattle P-I on April 25, 2005.
| year | make | model | mileage | price |
| 2004 | Honda | Odyssey EXL | 20 | 26900 |
| 2004 | Honda | Odyssey EX | 21 | 23000 |
| 2002 | Honda | Odyssey | 33 | 17500 |
| 2002 | Honda | Odyssey | 41 | 18999 |
| 2001 | Honda | Odyssey EX | 43 | 17200 |
| 2001 | Honda | Odyssey EX | 67 | 18995 |
| 2000 | Honda | Odyssey LX | 46 | 13900 |
| 2000 | Honda | Odyssey EX | 72 | 15250 |
| 2000 | Honda | Odyssey EX | 82 | 13200 |
| 2000 | Honda | Odyssey | 99 | 11000 |
| 1999 | Honda | Odyssey | 71 | 13900 |
| 1998 | Honda | Odyssey | 85 | 8350 |
| 1995 | Honda | Odyssey EX | 100 | 5800 |
Compute the correlation between age (in years) and mileage for
these minivans. (Assume the correlation conditions have been
satisfied and round your answer to the nearest 0.001.)
In: Statistics and Probability
Dependent Variable: BVPS_FSC
Method: Least Squares
Date: 07/25/18 Time: 12:06
Sample (adjusted): 4/01/1998 4/01/2013
Included observations: 15 after adjustments
Variable Coefficient Std. Error t-Statistic Prob.
C 3.316771 5.621129 0.590054 0.5714
CET_FSC 0.013773 0.021733 0.633729 0.5439
CR_FSC 0.489317 3.034456 0.161254 0.8759
CTR_FSC 0.008914 0.008949 0.996106 0.3484
ROA_FSC -2.286163 1.433001 -1.595368 0.1493
ROE_FSC 0.759472 0.474621 1.600166 0.1482
ROI_FSC 0.261457 0.198688 1.315919 0.2247
R-squared 0.360769 Mean dependent var 6.687333
Adjusted R-squared -0.118654 S.D. dependent var 1.987921
S.E. of regression 2.102553 Akaike info criterion 4.628907
Sum squared resid 35.36584 Schwarz criterion 4.959330
Log likelihood -27.71680 Hannan-Quinn criter. 4.625387
F-statistic 0.752506 Durbin-Watson stat 0.637955
Prob(F-statistic) 0.625229
1. discuss in detail the above data
In: Statistics and Probability