Bitcoins. Who made them?Who made them?

Bitcoins. Who made them?Who made them?

Bitcoin is the first accomplishment of a thought called “crypto-currency”, … Read More...
Define political socialization, outline the main factors that affect political socialization, and assess their relative influence in the socialization process.

Define political socialization, outline the main factors that affect political socialization, and assess their relative influence in the socialization process.

Political socialization is a thought regarding the “learning of the … Read More...
In women with asthma, which of the following appears to be a factor in determining its severity? Question 8 options: estrogen and progesterone testosterone and ADH human chorionic gonadotropin and FSH all of these hormonal combinations influence the severity of asthma

In women with asthma, which of the following appears to be a factor in determining its severity? Question 8 options: estrogen and progesterone testosterone and ADH human chorionic gonadotropin and FSH all of these hormonal combinations influence the severity of asthma

In women with asthma, which of the following appears to … Read More...
“Executive Pay” Please respond to the following: • Some evidence suggests that there is a direct and positive relationship between a firm’s size and its top-level managers’ compensation. Explain what inducement you think that relationship provides to upper-level executives. • Recommend what can be done to influence the relationship so that it serves shareholders’ interests.

“Executive Pay” Please respond to the following: • Some evidence suggests that there is a direct and positive relationship between a firm’s size and its top-level managers’ compensation. Explain what inducement you think that relationship provides to upper-level executives. • Recommend what can be done to influence the relationship so that it serves shareholders’ interests.

info@checkyourstudy.com “Executive Pay” Please respond to the following: •    Some … Read More...
Ramelson Inc., a footwear and apparel company, features photographs of celebrities wearing Ramelson clothes and shoes. The company launched a new commercial for its new line of football shoes. This commercial featured famous football stars as it believes that celebrities can influence customers’ buying decisions. In this case, the football stars served as _____.

Ramelson Inc., a footwear and apparel company, features photographs of celebrities wearing Ramelson clothes and shoes. The company launched a new commercial for its new line of football shoes. This commercial featured famous football stars as it believes that celebrities can influence customers’ buying decisions. In this case, the football stars served as _____.

opinion leaders
The interest rates are currently 2% at most banks in Australia (ANZ, 2015). Deposit money into bank and collect interest is the safest way to invest the excess money. However, the return is not high though the risk is small. Property investment is considered as high risk investment (Pickering, 2015). Recent years have witnessed its booming in return and average return is 9.8% over Australia (Yardney, 2014). Share market is also known as a risky area. As stated by Reeves (2014), there are too many factors that could influence the market’s performance such as global wage stagnation, optimism turning over, Euro-zone deflation and so on. Compared with these three market, the portfolio in this question provided a good return with tolerable risks. The return is average 8% while the risk is 1.02% which is considered as low compared to high risk markets. The coefficient of variation is also very low which shows that the portfolio is considered as a low risk investment while considered its returns. Therefore, this portfolio is worth investment. The yield to maturity rate should be less than 12% because the bond has a value more than its par value. We know the bond present value is derived by discounting the future cash flow that generated by the bond to its present value. So if the yield to maturity rate has a lower value, the bond will have a higher present value. If we take 12% as the yield to maturity we will find the bond value should equal to its par value Based on the formulae, we can calculate the bond value if we know the interest, par value and the yield to maturity. As the question indicated, the required return is 14% and it is paid semi-annually, so the yield to maturity for half year is 7%. The interest rate for the bond is 6% and is also paid semi-annually. So the half year interest should be 3% of par value. The period of the bond should be 8 as it is paid semi-annually. Therefore, the bond value should be 3 X 5.9713 + 100 X 0.5820 = 76.1 The bond value should be $76.1 This is a discount bond as its value is lower than its par value. The reason that it becomes a discount bond is it provides a lower interest than the market can give. In a similar risk bonds market, the interest rate is 14% while this bond can only provide 6%. So, the bond is trading at a discount price. The free cash flow growth rate is zero. Then, we take assumption that the free cash flow will be constant in the future since 2016.

The interest rates are currently 2% at most banks in Australia (ANZ, 2015). Deposit money into bank and collect interest is the safest way to invest the excess money. However, the return is not high though the risk is small. Property investment is considered as high risk investment (Pickering, 2015). Recent years have witnessed its booming in return and average return is 9.8% over Australia (Yardney, 2014). Share market is also known as a risky area. As stated by Reeves (2014), there are too many factors that could influence the market’s performance such as global wage stagnation, optimism turning over, Euro-zone deflation and so on. Compared with these three market, the portfolio in this question provided a good return with tolerable risks. The return is average 8% while the risk is 1.02% which is considered as low compared to high risk markets. The coefficient of variation is also very low which shows that the portfolio is considered as a low risk investment while considered its returns. Therefore, this portfolio is worth investment. The yield to maturity rate should be less than 12% because the bond has a value more than its par value. We know the bond present value is derived by discounting the future cash flow that generated by the bond to its present value. So if the yield to maturity rate has a lower value, the bond will have a higher present value. If we take 12% as the yield to maturity we will find the bond value should equal to its par value Based on the formulae, we can calculate the bond value if we know the interest, par value and the yield to maturity. As the question indicated, the required return is 14% and it is paid semi-annually, so the yield to maturity for half year is 7%. The interest rate for the bond is 6% and is also paid semi-annually. So the half year interest should be 3% of par value. The period of the bond should be 8 as it is paid semi-annually. Therefore, the bond value should be 3 X 5.9713 + 100 X 0.5820 = 76.1 The bond value should be $76.1 This is a discount bond as its value is lower than its par value. The reason that it becomes a discount bond is it provides a lower interest than the market can give. In a similar risk bonds market, the interest rate is 14% while this bond can only provide 6%. So, the bond is trading at a discount price. The free cash flow growth rate is zero. Then, we take assumption that the free cash flow will be constant in the future since 2016.

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Engineering Risk Management Special topic: Beer Game Copyright Old Dominion University, 2017 All rights reserved Revised Class Schedule Lac-Megantic Case Study Part 1: Timeline of events Part 2: Timeline + causal chain of events Part 3: Instructions Evaluate your causal-chain (network) Which are the root causes? Which events have the most causes? What are the relationship of the causes? Which causes have the most influence? Part 4: Instructions Consider these recommendations from TSB Which nodes in your causal chain will be addressed by which of these recommendations? Recap How would you summarize the steps in conducting post-event analysis of an accident? Beer Game Case Study The beer game was developed at MIT in the 1960s. It is an experiential learning business simulation game created by a group of professors at MIT Sloan School of Management in early 1960s to demonstrate a number of key principles of supply chain management. The game is played by teams of four players, often in heated competition, and takes at least one hour to complete.  Beer Game Case Study Beer Game Case Study A truck driver delivers beer once each week to the retailer. Then the retailer places an order with the trucker who returns the order to the wholesaler. There’s a four week lag between ordering and receiving the beer. The retailer and wholesaler do not communicate directly. The retailer sells hundreds of products and the wholesaler distributes many products to a large number of customers. Beer Game Case Study The Retailer Week 1: Lover’s Beer is not very popular but the retailer sells four cases per week on average. Because the lead time is four weeks, the retailer attempts to keep twelve cases in the store by ordering four cases each Monday when the trucker makes a delivery. Week 2: The retailer’s sales of Lover’s beer doubles to eight cases, so on Monday, he orders 8 cases. Week 3: The retailer sells 8 cases. The trucker delivers four cases. To be safe, the retailer decides to order 12 cases of Lover’s beer. Week 4: The retailer learns from some of his younger customers that a music video appearing on TV shows a group singing “I’ll take on last sip of Lover’s beer and run into the sun.” The retailer assumes that this explains the increased demand for the product. The trucker delivers 5 cases. The retailer is nearly sold out, so he orders 16 cases. Beer Game Case Study The Retailer Week 5: The retailer sells the last case, but receives 7 cases. All 7 cases are sold by the end of the week. So again on Monday the retailer orders 16 cases. Week 6: Customers are looking for Lover’s beer. Some put their names on a list to be called when the beer comes in. The trucker delivers only 6 cases and all are sold by the weekend. The retailer orders another 16 cases. Week 7: The trucker delivers 7 cases. The retailer is frustrated, but orders another 16 cases. Week 8: The trucker delivers 5 cases and tells the retailer the beer is backlogged. The retailer is really getting irritated with the wholesaler, but orders 24 cases. Beer Game Case Study The Wholesaler The wholesaler distributes many brands of beer to a large number of retailers, but he is the only distributor of Lover’s beer. The wholesaler orders 4 truckloads from the brewery truck driver each week and receives the beer after a 4 week lag. The wholesaler’s policy is to keep 12 truckloads in inventory on a continuous basis. Week 6: By week 6 the wholesaler is out of Lover’s beer and responds by ordering 30 truckloads from the brewery. Week 8: By the 8th week most stores are ordering 3 or 4 times more Lovers’ beer than their regular amounts. Week 9: The wholesaler orders more Lover’s beer, but gets only 6 truckloads. Week 10: Only 8 truckloads are delivered, so the wholesaler orders 40. Week 11: Only 12 truckloads are received, and there are 77 truckloads in backlog, so the wholesaler orders 40 more truckloads. Beer Game Case Study The Wholesaler Week 12: The wholesaler orders 60 more truckloads of Lover’s beer. It appears that the beer is becoming more popular from week to week. Week 13: There is still a huge backlog. Weeks 14-15: The wholesaler receives larger shipments from the brewery, but orders from retailers begin to drop off. Week 16: The trucker delivers 55 truckloads from the brewery, but the wholesaler gets zero orders from retailers. So he stops ordering from the brewery. Week 17: The wholesaler receives another 60 truckloads. Retailers order zero. The wholesaler orders zero. The brewery keeps sending beer. Beer Game Case Study The Brewery The brewery is small but has a reputation for producing high quality beer. Lover’s beer is only one of several products produced at the brewery. Week 6: New orders come in for 40 gross. It takes two weeks to brew the beer. Week 14: Orders continue to come in and the brewery has not been able to catch up on the backlogged orders. The marketing manager begins to wonder how much bonus he will get for increasing sales so dramatically. Week 16: The brewery catches up on the backlog, but orders begin to drop off. Week 18: By week 18 there are no new orders for Lover’s beer. Week 19: The brewery has 100 gross of Lover’s beer in stock, but no orders. So the brewery stops producing Lover’s beer. Weeks 20-23. No orders. Beer Game Case Study At this point all the players blame each other for the excess inventory. Conversations with wholesale and retailer reveal an inventory of 93 cases at the retailer and 220 truckloads at the wholesaler. The marketing manager figures it will take the wholesaler a year to sell the Lover’s beer he has in stock. The retailers must be the problem. The retailer explains that demand increased from 4 cases per week to 8 cases. The wholesaler and marketing manager think demand mushroomed after that, and then fell off, but the retailer explains that didn’t happen. Demand stayed at 8 cases per week. Since he didn’t get the beer he ordered, he kept ordering more in an attempt to keep up with the demand. The marketing manager plans his resignation. Homework 4 Read the case and answer 1+6 questions. 0th What should go right? 1st What can go wrong? 2nd What are the causes and consequences? 3rd What is the likelihood of occurrence? 4rd What can be done to detect, control, and manage them? 5th What are the alternatives? 6th What are the effects beyond this particular time? Homework 4 In 500 words or less, summarize lessons learned in this beer game as it relates to supply chain risk management. Apply one of the tools (CCA, HAZOP, FMEA, etc.) to the case. Work individually and submit before Monday midnight (Feb. 20th). No class on Monday (Feb. 20th).

Engineering Risk Management Special topic: Beer Game Copyright Old Dominion University, 2017 All rights reserved Revised Class Schedule Lac-Megantic Case Study Part 1: Timeline of events Part 2: Timeline + causal chain of events Part 3: Instructions Evaluate your causal-chain (network) Which are the root causes? Which events have the most causes? What are the relationship of the causes? Which causes have the most influence? Part 4: Instructions Consider these recommendations from TSB Which nodes in your causal chain will be addressed by which of these recommendations? Recap How would you summarize the steps in conducting post-event analysis of an accident? Beer Game Case Study The beer game was developed at MIT in the 1960s. It is an experiential learning business simulation game created by a group of professors at MIT Sloan School of Management in early 1960s to demonstrate a number of key principles of supply chain management. The game is played by teams of four players, often in heated competition, and takes at least one hour to complete.  Beer Game Case Study Beer Game Case Study A truck driver delivers beer once each week to the retailer. Then the retailer places an order with the trucker who returns the order to the wholesaler. There’s a four week lag between ordering and receiving the beer. The retailer and wholesaler do not communicate directly. The retailer sells hundreds of products and the wholesaler distributes many products to a large number of customers. Beer Game Case Study The Retailer Week 1: Lover’s Beer is not very popular but the retailer sells four cases per week on average. Because the lead time is four weeks, the retailer attempts to keep twelve cases in the store by ordering four cases each Monday when the trucker makes a delivery. Week 2: The retailer’s sales of Lover’s beer doubles to eight cases, so on Monday, he orders 8 cases. Week 3: The retailer sells 8 cases. The trucker delivers four cases. To be safe, the retailer decides to order 12 cases of Lover’s beer. Week 4: The retailer learns from some of his younger customers that a music video appearing on TV shows a group singing “I’ll take on last sip of Lover’s beer and run into the sun.” The retailer assumes that this explains the increased demand for the product. The trucker delivers 5 cases. The retailer is nearly sold out, so he orders 16 cases. Beer Game Case Study The Retailer Week 5: The retailer sells the last case, but receives 7 cases. All 7 cases are sold by the end of the week. So again on Monday the retailer orders 16 cases. Week 6: Customers are looking for Lover’s beer. Some put their names on a list to be called when the beer comes in. The trucker delivers only 6 cases and all are sold by the weekend. The retailer orders another 16 cases. Week 7: The trucker delivers 7 cases. The retailer is frustrated, but orders another 16 cases. Week 8: The trucker delivers 5 cases and tells the retailer the beer is backlogged. The retailer is really getting irritated with the wholesaler, but orders 24 cases. Beer Game Case Study The Wholesaler The wholesaler distributes many brands of beer to a large number of retailers, but he is the only distributor of Lover’s beer. The wholesaler orders 4 truckloads from the brewery truck driver each week and receives the beer after a 4 week lag. The wholesaler’s policy is to keep 12 truckloads in inventory on a continuous basis. Week 6: By week 6 the wholesaler is out of Lover’s beer and responds by ordering 30 truckloads from the brewery. Week 8: By the 8th week most stores are ordering 3 or 4 times more Lovers’ beer than their regular amounts. Week 9: The wholesaler orders more Lover’s beer, but gets only 6 truckloads. Week 10: Only 8 truckloads are delivered, so the wholesaler orders 40. Week 11: Only 12 truckloads are received, and there are 77 truckloads in backlog, so the wholesaler orders 40 more truckloads. Beer Game Case Study The Wholesaler Week 12: The wholesaler orders 60 more truckloads of Lover’s beer. It appears that the beer is becoming more popular from week to week. Week 13: There is still a huge backlog. Weeks 14-15: The wholesaler receives larger shipments from the brewery, but orders from retailers begin to drop off. Week 16: The trucker delivers 55 truckloads from the brewery, but the wholesaler gets zero orders from retailers. So he stops ordering from the brewery. Week 17: The wholesaler receives another 60 truckloads. Retailers order zero. The wholesaler orders zero. The brewery keeps sending beer. Beer Game Case Study The Brewery The brewery is small but has a reputation for producing high quality beer. Lover’s beer is only one of several products produced at the brewery. Week 6: New orders come in for 40 gross. It takes two weeks to brew the beer. Week 14: Orders continue to come in and the brewery has not been able to catch up on the backlogged orders. The marketing manager begins to wonder how much bonus he will get for increasing sales so dramatically. Week 16: The brewery catches up on the backlog, but orders begin to drop off. Week 18: By week 18 there are no new orders for Lover’s beer. Week 19: The brewery has 100 gross of Lover’s beer in stock, but no orders. So the brewery stops producing Lover’s beer. Weeks 20-23. No orders. Beer Game Case Study At this point all the players blame each other for the excess inventory. Conversations with wholesale and retailer reveal an inventory of 93 cases at the retailer and 220 truckloads at the wholesaler. The marketing manager figures it will take the wholesaler a year to sell the Lover’s beer he has in stock. The retailers must be the problem. The retailer explains that demand increased from 4 cases per week to 8 cases. The wholesaler and marketing manager think demand mushroomed after that, and then fell off, but the retailer explains that didn’t happen. Demand stayed at 8 cases per week. Since he didn’t get the beer he ordered, he kept ordering more in an attempt to keep up with the demand. The marketing manager plans his resignation. Homework 4 Read the case and answer 1+6 questions. 0th What should go right? 1st What can go wrong? 2nd What are the causes and consequences? 3rd What is the likelihood of occurrence? 4rd What can be done to detect, control, and manage them? 5th What are the alternatives? 6th What are the effects beyond this particular time? Homework 4 In 500 words or less, summarize lessons learned in this beer game as it relates to supply chain risk management. Apply one of the tools (CCA, HAZOP, FMEA, etc.) to the case. Work individually and submit before Monday midnight (Feb. 20th). No class on Monday (Feb. 20th).

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The following tenets of feminist theory are all TRUE except : a) The personal is political b) The relationship between counselor and client is hierarchical c) Women’s experiences have priority d) It focuses on the influence of gender, the oppression of women, and the influence of politics and is concerned with empowerment.

The following tenets of feminist theory are all TRUE except : a) The personal is political b) The relationship between counselor and client is hierarchical c) Women’s experiences have priority d) It focuses on the influence of gender, the oppression of women, and the influence of politics and is concerned with empowerment.

answer b