Table of Contents
Question 1: 3
PART – A.. 3
PART – B.. 3
PART – C.. 3
PART – D.. 4
Question 2: 4
PART – A.. 4
PART – B.. 5
PART – C.. 6
Reference List: 7
ASSIGNMENT 5
Question 1:
PART – A
From the case study, the research analyst observed that 125,000 people stay in that city known as Smithville [1]. The city Smithville is really very diminutive as compare to others. In the small city Smithville, the research analyst found that the unemployment rate has reached to around 12 % in that city. In the statistic record, it shows that around 2000 families stay in that city [2]. As the unemployment rate has increased to 12 % in that city, the city council has made food bank for the people in the city who are still unemployed so that the people of the city died for food.
PART – B
From the case study, the research analyst has observed that the unemployment rate in the city Smithville has increased to 12 %. To reduce the rate of unemployment, the city council has made a food bank from the funds stored for the city. The food bank can be controlled by the city council for only 18 months. This is because after 18 months, there will be no money in the funds to control the food bank in the city [3]. To solve this problem, the city council has introduced free market in the city where the people of that city can start a small business and the government will not charge any tax rate from them.
PART – C
To reduce the unemployment rate in the city, the city council has made a food bank for the unemployed people. But after 18 months there will be no money in the funds to control the food bank. To solve this problem, the city council has introduced free market in the city so that the government cannot charge any tax rate in their earnings. This will help them to earn money for their families.
The main demerits of this situation is the employed people may gets demotivated as the employed people of that city is paying the taxes to the government while the other people of that same city are not paying any taxes to the government. In one village, two types rules cannot be implemented [4].
PART – D
To reduce the unemployment rate in the city, the city council has made a food bank for the unemployed people. But after 18 months there will be no money in the funds to control the food bank. To solve this problem, the city council has introduced free market in the city so that the government cannot charge any tax rate in their earnings. This will help them to earn money for their families [5].
The main demerits of this situation is the employed people may gets demotivated as the employed people of that city is paying the taxes to the government while the other people of that same city are not paying any taxes to the government. In one village, two types rules cannot be implemented.
Question 2:
PART – A
Commercial Market Benefits:
1) It helps to make innovative ideas.
2) Helps the company to explore the brand name in the market.
3) It helps the company to generate more revenues in the market [6].
4) It helps the company to increase the production rate as the customers are eager to buy the products manufactured by the company.
Commercial Market Disadvantages:
1) The company needs to manufacture different types of product to fulfill the requirements of their customers [7].
2) The company will get different types of responses from the customers of the company in the commercial market.
3) The competition is very high in the commercial market as there are different entity producing same types of products in the market to attract customers.
PART – B
SWOT analysis:
Strengths | Weaknesses |
1) Explored the brand name and the brand value of the company.
2) Goodwill of the company becomes better [8]. |
1) Competition is high in the commercial market.
2) Company needs to produce different types of products to attract customers from the commercial market. |
Opportunities | Threats |
1) Company can use new technologies to produce products.
2) Company can manufacture car which can be drive without driver. |
1) Competition is high in this market.
2) The cost of the car is very high which may create some problem to generate revenue for the company. |
PART – C
The informations that might help CEO of the company to take good decisions are discussed in the following points:
1) This company can manufacture a car which can be drive without driver at low cost [9].
2) The company can make an innovative technology and implement the technology in the car and sell it in the market at low cost.
3) To compete with the other company, the company should launch a car in the market which will be at low cost [10].
Reference List:
Guy, T., KaÌrnyÌ, M. and Wolpert, D. (2012). Decision making with imperfect decision makers. Berlin: Springer.
Kourdi, J. (2011). Effective decision making. London: Marshall Cavendish Business.
Lu, J., Jain, L. and Zhang, G. (2012). Handbook on decision making. Heidelberg: Springer.
Moore, D. (2011). Managerial decision making. Cheltenham: Edward Elgar.
Nutt, P. and Wilson, D. (2010). Handbook of decision making. Hoboken, N.J.: Wiley.
O’Neal, C. (2012). Data-driven decision making. Eugene, Or.: International Society for Technology in Education.
Rao, R. (2013). Decision making in manufacturing environment using graph theory and fuzzy multiple attribute decision making methods. London: Springer.
Roberts, D. and Pakkiri, R. (2013). Decision sourcing. Burlington, VT: Gower.
Taylor, B. (2010). Professional Decision Making in Social Work. Exeter: Learning Matters Ltd.
Tzeng, G. and Huang, J. (2014). Fuzzy multiple objective decision making. Boca Raton: CRC Press.
Xu, J. and Zeng, Z. (2014). Fuzzy-Like Multiple Objective Multistage Decision Making. Cham: Imprint: Springer.
[1] Xu, J. and Zeng, Z. (2014). Fuzzy-Like Multiple Objective Multistage Decision Making. Cham: Imprint: Springer.
[2] Tzeng, G. and Huang, J. (2014). Fuzzy multiple objective decision making. Boca Raton: CRC Press.
[3] Taylor, B. (2010). Professional Decision Making in Social Work. Exeter: Learning Matters Ltd.
[4] Roberts, D. and Pakkiri, R. (2013). Decision sourcing. Burlington, VT: Gower.
[5] Rao, R. (2013). Decision making in manufacturing environment using graph theory and fuzzy multiple attribute decision making methods. London: Springer.
[6] O’Neal, C. (2012). Data-driven decision making. Eugene, Or.: International Society for Technology in Education.
[7] Nutt, P. and Wilson, D. (2010). Handbook of decision making. Hoboken, N.J.: Wiley.
[8] Moore, D. (2011). Managerial decision making. Cheltenham: Edward Elgar.
[9] Lu, J., Jain, L. and Zhang, G. (2012). Handbook on decision making. Heidelberg: Springer.
[10] Kourdi, J. (2011). Effective decision making. London: Marshall Cavendish Business.