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Impact of Technology on Multinational Shopping Malls

Write a report on how the technologies innovative functioning and evaluation of the multinational shopping impact high streets shops and malls. Provide answer to some of the questions below:

1. Collect data from campus 

2. Design a questionnaire for data collection

3. Summarize the collected data using arithmetic mean, mode and median.  

4. Draw conclusion using the result.

5. Use measure of dispersion to analyse data

6. Explain how use quartiles, percentiles and the correlation coefficient to draw useful conclusions.

7. Produce graph using spreadsheet. 

8.

Answer

Introdction

 With the changes in economic condition, there are several factors which may influence the shopping habits of the people in the market. These factors includes purchasing power, demand of the new trendy cloths, current offering and values, belief and perception of the people at large. The nature of people and their buying behaviour is dependent upon several factors. However, the quality of services and services and products offered to client’s through advance technologies system highly influence their buying decisions. In this report, proper analysis have been made about how the technologies innovative functioning and evaluation of the multinational shopping impacts on the high street shops and malls. 

Task-1

Create a plan for collecting the data from the students across the campus

 There are several primary and secondary sources which could be used to collect the data from the student across the campus. In this fast moving world, people are inclined towards buying goods and services only from those organization which are using highly advance technologies in their value chain activities These data assists in analysing the how the technologies innovative functioning and evaluation of the multinational shopping impacts on the high street shops and malls. All the students in the campus are the true clients who buy or shop either form the streets and multinational shops. Therefore, they could easily reveal the possible changes and how the technologies innovative functioning and evaluation of the multinational shopping impacts on the high street shops and malls.  There are mainly two sources for the data collection named as primary sources and secondary sources. The primary sources of data collection process includes use of questionnaire, survey, meeting, observation, direct meeting and conducting seminars and events. It will assist in direct contact with the respondents and assist researchers to collect the data directly. On the other hand, secondary sources of data collection includes annual report, official gazette, publication, journals and other books. The data collected from these sources will give the different viewpoints and core information about the how the technologies innovative functioning and evaluation of the multinational shopping impacts on the high street shops and malls. The main plan to collect the data from the student across the campus would be used of questionnaire. It will assist researcher to determine how evaluation of the multinational shopping impacts on the high street shops and malls. The use of questionnaire will assist in collecting the personal view points of the respondents and their perception regarding the research topic. However, it is the primary research data collection method which will enlighten the problems and research issues encountered by the students in street shopping and multinational shopping centre (Creswell, and Clark,  2007).

1.2 Present the survey methodology and sampling frame used

 The survey methodologies is ideally used when there is large amount of data and researcher wants to get the possible idea about the particular topic or issue. It assist researcher to collect the information from the large number of the students. It will give qualitative and quantitative data on the selected topic and helps in identifying the supporting outcome for the research.  The qualitative research focuses on the qualitative responses of the students such as number of shopping’s in the particular time period, purchasing power and their spending. On the other hand, quantitative data will provide the student’s inclination towards buying products of the particular brand and their choices of the shops (Liamputtong, 2009).  However, the qualitative data is collected by using the proper responses form the respondents. It will be done by using the questionnaire survey method. On the other hand, sample survey is used to collect the data by using the questionnaire. It will assist researcher to collect the large amount of data by using the only referral sample. In this research, sample survey has been used to collect the data from the 10 students. This survey helps in making effective business decision making and encounters all the problems and issues faced by the students in their shopping. However, primary data will help in collecting the direct information from the respondents. 

1.3 Design a questionnaire for collecting the data

1. What is your age?

Male 

Female 

2. What is your age group in which you fall? 

18-22

23-28

28-32

Above 32

3. What is the frequency of your shopping? 

Daily 

Weekly 

Monthly 

Rarely

4. Which mode do you accept while shopping?

Local 

Branded stores 

Online 

Other 

5. Would you prefer to shop through online portals or multinational shops over street shopping?  

Yes 

No 

Sometimes 

6. Would you go offer online shopping over offline if high discount is offered by multinational shopping centre?

Yes 

No

Depends on the offers 

Sometimes 

7. What is the main factor which may influence your buying decisions?

Price of the product

Brands

Offers and discounts 

Others 

8. What is the problems or issues faced by people in street shopping?

Complication  

Theft 

Loss of money

All of the Above

9. – Do you prefer multinational shopping centre over the street shopping?

1- Not preferable

2- Preferable sometime

3- Preferable

4- Strongly preferable  

Task-2

2.1 Summarise the data collected from the survey using representative values (arithmetic mean, median and mode)

 In this paper, data collected from students have been summarised in table in which representative 10 students have been taken into consideration. However, below given table reflects the collected data from the 10 respondents (Hwang, and Masud, 2012).

                                                 

 

Question/option  

 
 

A

 
 

B

 
 

C

 
 

D

 
 

1

 
 

6

 
 

4

 
 

n/a

 
 

n/a

 
 

2

 
 

3

 
 

3

 
 

3

 
 

1

 
 

3

 
 

4

 
 

2

 
 

3

 
 

1

 
 

4

 
 

2

 
 

2

 
 

5

 
 

1

 
 

5

 
 

4

 
 

4

 
 

2

 
 

n/a

 
 

6

 
 

4

 
 

3

 
 

1

 
 

2

 
 

7

 
 

3

 
 

2

 
 

3

 
 

2

 
 

8

 
 

3

 
 

3

 
 

1

 
 

3

 
 

9

 
 

2

 
 

1

 
 

2

 
 

5

 

           

 This research varies from the age, interest, choice of action and value of the student. In this research data is collected from 10 respondents and out of which 60% are female and 40% are mail. However, this research is dominate by the research topic i.e. how the technologies innovative functioning and evaluation of the multinational shopping impacts on the high street shops and malls (Deng, and Jiang, 2018).

 Question- How is the technologies innovative functioning and evaluation of the multinational shopping impacts on the high street shops and malls?

                 

 

Options  

 
 

Answers out of 10

 
 

% of total  

 
 

1- Not preferable  

 
 

2

 
 

20

 



2- Preferable sometime   

 
 

1

 
 

10

 
 

3- Preferable  

 
 

2

 
 

20

 
 

4- Strongly preferable   

 
 

5

 
 

50

 
 

 

 
 

10

 
 

  

 



Mean- 

                

 

Weight (A)

 
 

Number of response (B)

 
 

A*B

 
 

1

 
 

3

 
 

3

 
 

2

 
 

3

 
 

6

 
 

3

 
 

1

 
 

3

 
 

4

 
 

3

 
 

12

 
 

Total  

 
 

24

 

 Mean= 24/10= 2.4

Mode It would be highest frequency number. In this case, 3 would be highest frequency case. 

 Median- In this case, median value would be 3

2.2Analyse the results of the survey and draw conclusions 

 After implementing the survey and collecting data form the survey, it could be inferred that buying habits of the clients is highly influenced by the technologies and innovative channels. It is observed that online shopping dashboard has attracted many clients and they would prefer online shopping sites more as compared to street shopping. Therefore, after analysing all the facts, it could be inferred that the online shopping sites and multinational shopping centre have been gaining momentum throughout the time. The main outcome of this survey is that students are highly influenced by the technologies and offers given by the shopping centres. If online shopping sites are giving high offers then they will be more inclined towards shopping from those sites (Clark, 2018).

2.3 Analyse the data using measures of dispersion

 Measure of dispersion- This measure of dispersion is used to collect the data and squeezed the same for the data mining purpose. In the starting, researcher would use the standards of deviation and after that by using the square root, he will compute the measure of dispersion. 

There is below given responses to the question asked in this file.

  1, 2, 2, 3, 3, 4, 4, 4, 4, 4

 Computation of the standards deviation= 

                                               

 

X

 
 

Mean(x̅)  

 
 


 

 
 

 

 
 

 
 

 
 

 Square

 
 

 1

 
 

 3

 
 

 -2

 
 

 4

 
 

 2

 
 

 3

 
 

 -1

 
 

 1

 
 

 2

 
 

 3

 
 

 -1

 
 

 1

 
 

 3

 
 

 3

 
 

 0

 
 

 0

 
 

 3

 
 

 3

 
 

 0

 
 

 0

 
 

 4

 
 

 3

 
 

 1

 
 

 1

 
 

 4

 
 

 3

 
 

 1

 
 

 1

 
 

 4

 
 

 3

 
 

 1

 
 

 1

 
 

 4

 
 

 3

 
 

 1

 
 

 1

 
 

 4

 
 

 3

 
 

 1

 
 

 1

 
 

  

 
 

  

 
 

  

 
 

 11

 



  standard deviation

 Square root = 11/10= 1.1

2.4 Explain how you can use quartiles, percentiles and the correlation coefficient to draw useful conclusions 

Quartile- It assists in dividing the set of data into four equal groups. It is used to set up practical benchmark in the business of organization.  This quartile helps in dividing the four equal parts for all the collected data with a view to draw an effective results. 

Percentile- It assists in dividing the set of data into 100 parts of the groups. It finds the value of the numbers behind the percentile.  In case of 100 number of data, 40th percentile will be the value of the collected data. 

Correlation coefficient- It sets the relation between two factors of the collected data.  This factor is used by researcher to set a proper nexus between the two factors and their influence over each other’s (Rouhani and Lecic, 2018). 

 After analysing all the details and collected data, it could be inferred that proper working of the correlation and percentile methods would help researcher to implement proper business decision making in effective manner. Task-3

3.1 With the aid of spreadsheets produce graphs to help draw valid conclusions on the survey

 What is your gender?

          




 

Options  

 
 

Answers out of 10

 
 

% of total  

 
 

Male

 
 

6

 
 

60

 
 

Female

 
 

4

 
 

40

 
 

 

 
 

10

 
 

100

 

   40% of the respondents are female



  

 Analysis- 40% of the respondents are female. 

Q2- which age group do you fall in?

                 

 

Options  

 
 

Answers out of 10

 
 

% of total  

 
 

18-22

 
 

3

 
 

30

 
 

23-28

 
 

3

 
 

30

 
 

28-32

 
 

3

 
 

30

 
 

Above 32

 
 

1

 
 

10

 
 

 

 
 

10

 
 

100

 




 All the respondents are students and majority of them falls in the age group between 18 to 22

 All the respondents are students and majority of them falls in the age group between 18 to 22.

Question 3- What is your frequency to shop?

                 

 

Options  

 
 

Answers out of 10

 
 

% of total  

 
 

Daily  

 
 

4

 
 

40

 
 

Monthly

 
 

2

 
 

20

 
 

Weekly  

 
 

3

 
 

30

 
 

Rarely  

 
 

1

 
 

10

 
 

 

 
 

10

 
 

100

 


frequency to shop




  Majority of the student’s shops daily and rest 10% shop rarely.  

 Q4- Which mode do you like for your shopping?

                 

 

Options  

 
 

Answers out of 10

 
 

% of total  

 
 

Local stores

 
 

2

 
 

20

 
 

Branded stores

 
 

1

 
 

10

 
 

Online

 
 

6

 
 

60

 
 

Others  

 
 

1

 
 

10

 
 

 

 
 

10

 
 

100

 

mode for shopping

  

 More than 60% students like to buy goods through the online portal.

Q5- Would you prefer to shop through online portals or multinational shops over street shopping?  

                 

 

Options  

 
 

Answers out of 1

 
 

% of total  

 
 

Yes

 
 

4

 
 

40

 
 

No

 
 

4

 
 

40

 
 

Sometimes

 
 

2

 
 

20

 
 

 

 
 

10

 
 

100

 
 


 

 
 


 

 
 


 

 


shop through online portals or multinational shops over street shopping

 More than 20% students are prefer to shop through online portals or multinational shops over street shopping

Q6- Would you go offer online shopping over offline if high discount is offered by multinational shopping centre?

                 

 

Options  

 
 

Answers out of 10

 
 

% of total  

 
 

Yes

 
 

4

 
 

40

 
 

No

 
 

3

 
 

30

 
 

depends on the offer  

 
 

1

 
 

10

 
 

Sometimes  

 
 

2

 
 

20

 
 

 

 
 

10

 
 

100

 

offer online shopping over offline if high discount is offered by multinational shopping centre




 Q7- What are the possible factors which affect the purchasing behaviour of consumers?

                 

 

Options  

 
 

Answers out of 10

 
 

% of total  

 
 

Price

 
 

2

 
 

20

 
 

Brand

 
 

3

 
 

30

 
 

Offer and discounts

 
 

3

 
 

30

 
 

online shopping channels  

 
 

2

 
 

20

 
 

 

 
 

10

 
 

100

 

factors which affect the purchasing behaviour of consumers




Q8- What is the main factor which may influence your buying decisions?

                 

 

Options  

 
 

Answers out of 10

 
 

% of total  

 
 

Price

 
 

3

 
 

30

 
 

Brand

 
 

2

 
 

20

 
 

Offer and discounts

 
 

3

 
 

30

 
 

online shopping channels  

 
 

2

 
 

20

 
 

 

 
 

10

 
 

100

 



factor which may influence buying decisions



 It is found that more than 30% influence their buying decision on the basis of pricing of the goods. 

Question 9- Do you prefer multinational shopping centre over the street shopping

                 

 

Options  

 
 

Answers out of 10

 
 

% of total  

 
 

1- Not preferable  

 
 

2

 
 

20

 
 

2- Preferable sometime   

 
 

1

 
 

10

 
 

3- Preferable  

 
 

2

 
 

20

 
 

4- Strongly preferable   

 
 

5

 
 

50

 
 

 

 
 

10

 
 

 

 

multinational shopping centre over the street shopping

  

 More than 50% of the respondents strongly agree with the statement. 

3.2 Create trend lines in spreadsheet graphs to show the level of impact over a minimum of 3 years. 

trend of the sales through online portals and multinational shops


 The above given diagram has been prepared to reflect the trend of the sales through online portals and multinational shops. This reflects the changes in the purchasing behaviour of the clients throughout the five years.

 After analysing the data, it is observed that sales in the departmental stores have decreased in last five years.  The trend has been upward and downward for the department stores and online business both. However, the growth of the online business has shown the positive impact on the shopping behaviour of the people at large (Ebert, Fisher, & Gaither, 2018).


3.4 Formal report for publication in retail times magazine Retail Times magazine 

Introduction

 With the increasing changes in the business, shopping behaviour and choices of the clients have changed a lot. However, changes in technologies and increasing use of advance technologies in the multinational shopping centre has attracted high amount of people. 

Findings 

 It is analysed that people are more inclined to buy goods from the multinational shopping centres in place of going for street shopping. Nonetheless, with the changes in time, online business and dashboard mechanism for the online sales have dominate the shopping market with its highly advance features (Gong, et al. 2018).

Conclusion

 Now in the end, it could be inferred that people like to buy good by using online portal. However, the online business has several data privacy issues which may negatively impact the people at large.

Task-4

4.1 How do the following systems serve the various levels of management in a business? You are to describe their characteristics and the roles they play in a business

 There are several data system which could be used by management to make effective business decisions. 

Transaction processing system- It is highly advance system which is used by retail stores to manage, collect and store the valuable data of the clients and other rival companies at large. This processing system is accompanied by the collection, retrieval of the data process program and transfer of data form one place to other. This transaction processing system is based on the functional technical program which is used by management for the data mining process. The data collected through transaction processing system is consistent of several intents such as consistency, reliability and factual data performance program. This system is accepted by the organization which are facing complex issues and problems in their work issues. 

 2.Management information system- This management information system is based on the computer developed cyber system which assists in collecting the data and assist in analysing the same for the effective business decision making. This system is ideally used by the organization which are facing complexity in their functions and faces business issues in BDM. The MIS system refers to the system to manage and support managerial decisions within the organization (Zeng, and Lu, 2018.). This management support system will be used to reduce the complexity of the large amount of data and assist in increasing the overall return of the business. This will establish the automation in the data collection process and increase the overall outcome of the organization. Furthermore, the main feature of this new MIS system would be to enable the management to pull the data by using the unique user id and upload the data in the same.  

 3. Decision support system- This is the artificial intelligence program which is used to manage all the decision making issues and problems. This system is used to install the automation in the business decision making. However, the main purpose of this system to communicate all the imperative information to the management and increase the overall efficiency of the business process.  This decision support system will be based on the implemented functional program and installed software’s in the business process system of the organization. It will not only increase the overall efficiency to collect the data but also helps management of the organization to take effective business decision (Badampudi, et al., 2018). This support system will assist organization to analysis all the internal and external factors of the business and also assist in taking effective business decisions.

4.2 Critical Path analysis 

The critical path shows the time involved in the completion of the project.

 It focuses on the management of the cost and time in the project.

 It will show the longest path to cover all the activities. 

 This activity start with the A and will end with the J.

 This critical path is developed with a a view to identify the longest path which company has to face to cover all the activities starting from the first phase to ending phase. 

 Network diagram is given as below which will reflects the graphical presentation of the activities starting from the A activities and end with the J activity. 

Network diagram is given as below

   

Network diagram

 There is below cash inflow and outflow of the project given-                                 

           

 

Year  

 
 

Cash (Outflow)/ inflow  

 
 

0

 
 

(15000)

 
 

1

 
 

8000

 
 

2

 
 

10000

 
 

3

 
 

5000

 
 

4

 
 

5000

 

  The project finance cost would eb 10% 

 The financing tool NPV and IRR would be used to evaluate whether the project should be accepted or not. 

Net present value 

 It shows the difference between present value of cash inflow and present value of cash outflow. 

                         

 

Year

 
 

Cash flow (£)

 
 

PVF@ 10%

 
 

Present value (£)

 
 

0

 
 

-15000

 
 

1

 
 

-15000

 
 

1

 
 

8000

 
 

0.909

 
 

7272

 
 

2

 
 

10000

 
 

0.826

 
 

8260

 
 

3

 
 

5000

 
 

0.751

 
 

3755

 
 

4

 
 

5000

 
 

0.683

 
 

3415

 
 

Total

 
 

7702

 


The NPV of the project is £ 7702; i.e. positive. It shows that given project will offer benefit of £ 7702 if it is accepted. In this project, company is having positive net present value which reflects that company should accept this new project to increase the overall outcome of the business. 

Internal rate of return

The IRR reflects the rate at which organization would have zero NPV. The IRR of the company should be more than its cost of captial if company wants to create value from their projects. However, in some cases two IRR rates gives zero NPV. Thefore, while selecting the project, resercher should undertake only NPV method. 

 The IRR of the given project is 35%. However, it is too high as compared to cost of captial. It shows positive indicator (Denzin and Lincoln, 2014).

Conclusion

 In this research, all the internal and external factors of the students have been observed to determine how the technologies innovative functioning and evaluation of the multinational shopping impacts on the high street shops and malls. However, it is observed that students are more inclined towards buying goods and services from the online modes. It assists them to increase their overall satisfaction and increase the value of their outcomes. Therefore, it could be inferred by using these statistical tools such as mean mode median that clients get attracted to those organization who use advance technologies in their business. It will not only impact their buying behaviour but also influence the satisfaction level. The business decision making is highly based on the qualitative data. If management could use these qualitative data in effective manner then they could easily forecast the future results.

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