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19 Pages 4813 Words 101 Downloads

Introduction

Business decisions making is the process of gathering the required data and evaluating that information through various statistical and financial tools in order to take strategic decisions (Black, 2011). Syngenta is a world's leading company operating in around 90 countries with the availability of 28000 workers. Its purpose is bringing plant potential to life. In the present report, the importance of business decision making will be discussed in respect of Syngenta's success.

Task 1

Q.1. Launching of Amistar as well as data collection through survey methodology and sampling frame

Amistar is a fungicide product that makes a huge contribution to integrated pest management. Currently, Syngenta's director decides to launch Amistar in a new market. Therefore, India will be an appropriate country for such expansion. It is because almost 70 percent of the Indian population is engaged in the agriculture sector (Bazerman and Moore, 2012). Due to this, there is a great demand of fungicide products for the protection of crops.

Data collection: It is the primary need of the decision-making process in which the researcher requires to collect both the primary and secondary information. Primary data is also called as raw data because it is collected by the investigation for the first time and every researcher needs to collect primary information for their specific objectives. It can be collected through personal investigation, surveys, and other related methods. However, secondary information is available directly, so the investigator does not need to collect it from the market surveys (Sutherland, 2010). Previous records, articles, trade reports, economic reports, published government reports, internet, newspaper, books and magazines are the types of secondary data collection sources.

Survey methodology: It is a way of primary data collection in which the investigator of Syngenta can conduct market surveys in order to gather the required information. It is the best way of collecting information about consumer behavior, their preferences and future demand of Amistar in India (Kline, 2010). A questionnaire is an effective tool in which the researcher can design various open and close-ended questions for collecting necessary data as well as information.

Sampling frame: It is not possible for Syngenta's manager to study the whole Indian market. Hence, he can use the sampling frame in which an investigator can construct an adequate size of a sample by combining all the characteristics of the universe. Thereafter, information can be collected by communicating with respondents who are considered as a sample for the study. Thus, it minimizes the cost of data collection and saves time.

Q.2. A market design survey questionnaire

Name:

Gender:

1. Are you familiar with the Syngenta?

·Yes

·No

2. From how long are you making the use of Syngenta's fungicide products for agricultural protection?

&·Less than 5 year

&·Between 5 to 8 year

&·More than 8 year

3. Which factor related to Syngenta greatly influences your buying decisions?

·Price

·Quality

·Place

·Promotion

4. Do you think that Syngenta's product prices are under your purchasing power?

·Yes

·No

5. Syngenta's product quality is satisfying your objectives or not?

·Yes

·No

6. Do You think that Syngenta can accomplish its target through launching Amistar in India?

·Yes

·No

7. Do you want to give any suggestions or recommendations for improving the performance of the business?

·Please specify_______________________________________________________

Task 2

Q.1. Mean, Mode and Median

Mean, mode and median are central tendency measures that provide useful information about the data series.

  • Mean is also called an average that can be computed by dividing the total of potential expenditure with the number of countries in which Amistar can be launched.
  • Median is the middle value. It indicates the value which lies at 50% of the total annual expenditure that can be arisen in the future period (Lyratzopoulos and et.al., 2013).
  • The mode is the most frequently incurred value in the given data series. In the present scenario, the amount of potential expenses that can be incurred in most of the countries is known as a mode.

Annual expenses ( In £m)

Number of countries (F)

Mid value of the series (X)

Cumulative frequency

FX

0-10

13

5

13

(13*5) = 65

10-20

25

15

38

(25*15) = 375

20-30

37

25

75

(37*25) = 925

30-40

22

35

97

(22*35) = 770

40-50

21

45

118

(21*45) = 945

50-60

20

55

138

(20*55) = 1100

60-70

12

65

150

(12*65) = 780

 

∑F = 150

   

∑FX = 4960

Mean= ∑FX/∑F = 4960/150 = £33.07m

Median= Lower class limit + (∑F/2-CF of previous CI)/Frequency * Class Interval

= 20+ (75-38)/37*10 = £30m

Mode= lower class limit + (F1-F0)/2*F1-F0-F2*i

F1 = frequency of the mode group

F0 = frequency of the previous group

F2 = frequency of the next group

i = class interval

= 20+ (37-25)/(2*37-25-22)*10

= £24.44m

On the basis of the above information, it can be said that approximately £33.07m of expenditure will be incurred in the upcoming period. However, a median value of £30m tells that half of the total potential expenses will lie under the maximum limit of £30m. However, the mode of £24.44m indicates that in many countries, future spending will be equal to £24.44m.

Q.2. Measurement of dispersion

Besides the central tendency, dispersion measures the scatter and spread of the whole series. In the context of the present scenario, it helps to measure the difference in future annual expenditures in various countries (Zhang, Jia and Zhang, 2009).

Annual expenses (In £m)

Number of countries (F)

Mid Value (x)

FX

X^2

F*X^2

0-10

13

5

65

25

325

10-20

25

15

375

225

5625

20-30

37

25

925

625

23125

30-40

22

35

770

1225

26950

40-50

21

45

945

2025

42525

50-60

20

55

1100

3025

60500

60-70

12

65

780

4225

50700

 

∑F = 150

 

∑FX = 4960

∑X^2 = 11375

∑F*X^2 = 209750

Range = Highest – minium expenditures

= £70m – zero = £70m

Variance = 209750-[(4960*4960)/150]/150-1 = 208649.257

Standard deviation is the square root of variance = Measure of Dispersion

= 456.78

In conclusion, a range of £70m indicates that future annual expenditures in the countries in which Amistar can be launched will fall from zero to £70m. Thus, if Syngenta launches Amistar in India then maximum expenditures will be £70m.

Q. 3. Quartile, percentile and correlation coefficient

Quartile and percentile: Quartile is denoted as Q that measures the expenses which fall under the range of 25%, 50%, 75% and 100% of the total future expenditures. However, every percentile measures the total spending that lies under a specific percentage group.

Quartile 1

20.2

20.2

Quartile 2

24.44

24.44

Quartile 3

47.38

47.38

Correlation: As the name suggested, it measures the relationship between two interrelated data series (Aiken and et.al., 2008) In context to the present scenario, the correlation has been computed between sales and profit in the Japanese market.

Year

Sales

Cost

2005

270

70

2006

310

90

2007

320

100

2008

400

150

2009

380

130

2010

350

110

2011

330

110

2012

330

100

2013

340

110

2014

480

140

Picture of deviation

Particular

Sales

Profits

Sales

1

0.888030143

Profits

0.888030143

1

The correlation coefficient of 0.89 indicates that both the sales and profit are highly related to each other. As sales increases, profit also tends to increase and vice versa.

Task 3

Q.1. Graphical presentation

Column charts and bar charts have been prepared here to analyze data related to sales, cost, and profit in the context of the Japanese market.

Year

Sales (£’m)

Cost (£’m)

Profit (£’m)

2005

270

200

70

2006

310

220

90

2007

320

220

100

2008

400

250

150

2009

380

250

130

2010

350

240

110

2011

330

220

110

2012

330

230

100

2013

340

230

110

2014

480

240

140

Column chart:

Sales figure

Bar chart:

Horizontal Sales Chart

Graphical presentation of data enables the line managers to analyze all related information about the Japanese market (Galtarossa and et.al., 2008). The graph shows that sales, cost, and profit are fluctuating over the period. Sales increased up to £400m in 2008 and thereafter, declined for five years. However, in between 2013 to 2014, it increased from £340m to £480m. On the contrary, the cost was increasing till 2009 with the highest limit of £250m. After that, it moved in a favorable direction and started to decline as, in 2014, it was £240m. Due to this, the highest profit was in 2008 amounted to £150m. Thereafter, it went to fall from £130m to £100m till the year 2012. On the contrary, in 2013 and 2014, it inclined to £110m and £140m because of high proportional changes in sales. In accordance with this chart, it is recommended that Syngenta’s manager has to construct policies and take decisions so that sales and profits can be increased.

Q. 2. Constructing trend lines with a regression equation

Trend lines: It is a line used to forecast future market trends by evaluating historical occurrences (Li and et.al., 2012). With the help of constructing a trend line for sales and profits, Syngenta's manager can forecast that it will move in a favorable or adverse direction in forthcoming years. Such line for Syngenta is presented below:

Trend Line of Sales

The upward direction of the trend line tells that in future years, Syngenta will generate more revenues and profitability (Robertson and et.al., 2008). It demonstrates that a firm will earn high sales and profitability in the Japanese market. In other words, it will perform better in the upcoming period.

Task 4

Q.1Preparing a Gantt chart and stating its benefits.

Line manager of Syngenta is planning to set a new warehouse with an aim to store various products before selling it in the market (Brandt and et.al., 2010). Therefore, in regard to this, the manager has taken into consideration various activities.

Activities

Name of the activities

Immediate predecessors

Time duration

Start

Finish

A

Lay foundation and build structure

 

80

02/10/16

Tue 5/31/16

B

Building stairs

1

30

Wed 6/1/16

Tue 7/12/16

C

Building roofs

1

40

Wed 6/1/16

Tue 7/26/16

D

Building windows

1

8

Wed 6/1/16

Fri 6/10/16

E

Plastering

1

70

Wed 6/1/16

Tue 9/6/16

F

Carpenter work

2,3,4,5

70

Wed 9/7/16

Tue 12/13/16

G

Electrical work

2,3,4,5

84

Wed 9/7/16

Mon 1/2/17

H

Heating

2,3,4,5

70

Wed 9/7/16

Tue 12/13/16

I

Plumbing

2,3,4,5

63

Wed 9/7/16

Fri 12/2/16

J

Floor covering

6,7,8,9

28

Tue 1/3/17

Thu 2/9/17

K

Decoration

6,7,8,9,10

35

Fri 2/10/17

Thu 3/30/17

Gantt chart is one of the significant tools that is used by the organization with an aim to examine the starting and finishing time of all the activities that take place within a specific time in the organization. After using this tool, the manager of Syngenta will able to analyze the time period required for preparing the warehouse. This chart indicates a separate bar for all the activities.

Figure of Gantt Chart

Some of the benefits of Gantt chart are as follows:-

  1. The manager is easily able to inform all the employees the actual time which they are required to take into consideration for completing the specific task.
  2. The line manager is able to allocate resources in an effective manner by considering the time required to complete the activity (PERT and Gantt chart,d).
  3. By using this chart, the manager will also be able to analyze the time period that can reduce as per the convenience.

Therefore, in the end, it can be said that the preparation of the Gantt chart is very important for every organization as by using this chart, the company is able to examine the time period required to complete a particular task.

Q.2 Network diagram stating the critical path

Network diagram is one of the beneficial tools that is used by almost every organization (Network, Gantt chart, and critical paths,2001). On the basis of this diagram, management is able to examine the relationship between all the activities that are going to take place.

Graph of Critical Path

A critical path that is going to take place while constructing the warehouse.

Path A--- 1+5+7+10+11

=80+70+48+28+35

=261days

Path B--- 1+5+7+11

=80+70+48+35

=233 days

On the basis of the above computation, it can be concluded that Syngenta should move on with critical path B. The reason behind this is that by using this, the company will be able to complete the construction project in 233 days only. While, if they move on with path A, then, in that case, it will take 261days.

Q.3 Taking appropriate decisions by considering various investment appraisal techniques

Computation of payback period (PP)

This method is used to analyze the time period after which the company will going to regain the amount of capital invested by them (Götze, Northcott and Schuster, 2008).

Number of Years

Cash inflow of Grangemouth (in £'000)

Cumulative cash inflow

Cash inflow of Inverness (£'000)

Cumulative cash inflow

1

30

30

30

30

2

40

70

50

80

3

60

130

50

130

4

30

160

40

170

5

50

210

40

210

Payback period= A+B /C

Grangemouth-- 3+20/30

=3+ 0.67

=3.67 years

Inverness---3+20/40

                   =3+0.5

       =3.5 years

As per the above computation, it can be interpreted that Syngenta should move on with the proposal given by Inverness because it will take less time to recover the invested money.

Computation of Net present value (NPV)

 

GRANGEMOUTH(IN £'000)

INVERNESS (£'000)

Year

Net cash inflow

(1)

P.V factor @ 10%

(3)

Discounted cash inflow

(1*3)

Net cash inflow of

(2)

P.V factor @ 10%

(3)

Discounted cash inflow

(2*3)

1

30

0.909

27.27

150

0.909

27.27

2

40

0.826

33.04

30

0.826

41.3

3

60

0.751

45.06

50

0.751

37.55

4

30

0.683

20.49

40

0.683

27.32

5

50

0.621

31.05

40

0.621

24.84

Total discounted cash inflow (£'000)

   

156.91

   

158.28

Initial investment (£'000)

       

150

150

Net present value (£' 000)

(Total discounted cash inflow – initial investment)

       

6.91

8.2

On the basis of the above calculation, it can be suggested that Syngenta should move on with the proposal offered by Inverness as by using this, the company will be able to generate more NPV of 158.28 which is high as compared to the proposal of Grangemouth which is 156.91.

Computation of Average rate of return (ARR)

 

Grange's mouth

Inverness

Average accounting income

210/5 = 42

210/5 = 42

Average investment

75

75

The average rate of return (Average accounting income/Average investment)

42/75 = 0.56%

42/75 = 0.56%

According to the above computation, it has been found that the ARR of both the proposals is equal such as 0.56%. Therefore, after using all the three techniques, it is suggested that Syngenta should move on with the proposal offered by Inverness.

Conclusion

In the conclusion of the above report, it has been stated that Syngenta has to launch its product such as Amistar in the Indian market. It will bring the number of opportunities for the business and contribute to high growth in business performance. Moreover, the report has been concluded that in upcoming years, the Japanese market will generate more revenues and profitability. This, in turn, Syngenta's operational performance will be enhanced. In last, the report has described that the Gantt chart and network diagram are useful tools for warehouse project management. It enables a manager to construct a warehouse within set time period. However, under the capital expenditures, investment appraisal tools have explained that Syngenta should accept the Inverness proposal because of greater NPV, ARR and lower PP.

References

  • Aiken, A. C., and et.al., 2008. O/C and OM/OC ratios of primary, secondary, and ambient organic aerosols with high-resolution time-of-flight aerosol mass spectrometry. Environmental Science & Technology.
  • Bazerman, M. and Moore, D. A., 2012. Judgment in managerial decision making.
  • Black, K., 2011. Business statistics: for contemporary decision making. John Wiley & Sons.
  • Brandt, M. W. and et.al., 2010. The idiosyncratic volatility puzzle: Time trend or speculative episodes?. Review of Financial Studies.
  • Galtarossa, A. and et.al., 2008. Distributed polarization-mode-dispersion measurement in fiber links by polarization-sensitive reflectometric techniques. IEEE Photonics Technology Letters.

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