Decision Making: Survey Analysis on Retail Impact & Tech Influence

This report investigates the influence of technological innovation in multichannel shopping on high street shops and malls, employing a survey-based approach to gather data from students. The survey methodology, sampling frame, and questionnaire design are detailed, followed by a summary and analysis of the collected data using statistical measures such as arithmetic mean, median, mode, quartiles, percentiles, and correlation coefficients. Graphs and trend lines are prepared to draw valid conclusions about the survey results, including a discussion of the impact over a three-year period. The report also covers the use of information processing tools and financial tools like NPV and IRR for decision-making, culminating in a formal report suitable for publication in a retail magazine. Desklib offers similar solved assignments and resources for students.

BUSINESS DECISION MAKING

Contents
INTRODUCTION..........................................................................................................................3
TASK 1 – PLANNING THE SURVEY...............................................................................................4
1.1 CREATE A PLAN FOR COLLECTING DATA FROM STUDENTS ACROSS ALL CAMPUSES.4
1.2 PRESENT THE SURVEY METHODOLOGY AND SAMPLING FRAME USED.....................6
1.3 DESIGN A QUESTIONNAIRE FOR COLLECTING DATA...................................................7
QUESTIONNAIRE................................................................................................................7
TASK 2.......................................................................................................................................11
2.1 SUMMARISE THE DATA COLLECTED FROM THE SURVEY USING REPRESENTATIVE
VALUES (ARITHMETIC MEAN, MEDIAN AND MODE)...........................................................11
2.2 ANALYSE THE RESULTS OF THE SURVEY AND DRAW CONCLUSIONS............................13
2.3 ANALYSE THE DATA USING MEASURES OF DISPERSION................................................14
2.4 EXPLAIN HOW QUARTILES, PERCENTILES AND THE CORRELATION COEFFICIENT ARE
USED TO DRAW CONCLUSIONS IN A BUSINESS CONTEXT...................................................15
Task 3........................................................................................................................................16
3.1 PREPARE GRAPHS TO HELP DRAW VALID CONCLUSIONS ON THE SURVEY..................16
3.2 CREATE TREND LINES IN SPREADSHEET GRAPHS TO SHOW THE LEVEL OF IMPACT
OVER A MINIMUM OF 3 YEAR..............................................................................................26
3.3 PREPARE A POSTER PRESENTATION IN CLASS OF YOUR FINDINGS...............................29
3.4 WRITE A FORMAL REPORT ON PUBLICATION IN THE RETAIL MAGAZINE.....................30
Task 4........................................................................................................................................31
4.1 USE APPROPRIATE INFORMATION PROCESSING TOOLS...............................................31
4.2 PREPARE A PROJECT PLAN FOR AN ACTIVITY AND DETERMINE THE CRITICAL PATH. . .32
4.3 USING THE FINANCIAL TOOLS FOR DECISION MAKING.................................................33
a) NPV CALCULATION.................................................................................................33
b) IRR CALCULATION..................................................................................................34

CONCLUSION............................................................................................................................35
REFERENCES.............................................................................................................................36

INTRODUCTION
The most important that should be focused on the organizations while initiating to do
something is decision-making process. The decision-making process in business
helps the organizations to complete the business activities in an appropriate way that
will reduce the cost and time implicated (Ferrell and Fraedrich, 2015). This process
is helpful to organizations in generating all the possible alternatives to a single
problem and selecting the optimal one of them. This assignment is based on
understanding the influence marked by the developing technology that is used by
multichannel shopping on the high street shops and malls (Sharma, et. al. 2014).
This assignment will generate a proper decision-making process on the basis of
focused topic and make use of statistical data and measures such as mean, median,
mode, quartile deviations, correlation and percentiles.

TASK 1 – PLANNING THE SURVEY
1.1 CREATE A PLAN FOR COLLECTING DATA FROM STUDENTS ACROSS
ALL CAMPUSES
Decision-making process is very helpful to the companies and organizations in
enhancing the growth rate. It is very important to make use of various tools and
techniques for collecting, storing and evaluating the data for the successful decision
making. This will be helpful in scrutinizing the useful data and information and
representing it as fact for evaluation (Power, et. al. 2015). This section is based on
the collection of data to generate better results for making a decision. The research
topic is “Understanding the reasons and influence of the technological innovation in
multichannel shopping on the high street shops and malls”. The two most common
sources for collecting data are considered here which are the primary method of data
collection and secondary method of data collection.
PRIMARY METHOD OF DATA COLLECTION
The primary methods for collecting data can be done in form of interviews, surveys,
questionnaires, etc. The primary method of data collection is considered by the
researchers as the first-hand evidence for an event or topic. The primary data is fully
focused on a single topic or purpose. To understand the impact of the technological
development and the perception of the customers and people on it, the survey
method will be helpful in generating better results (Palinkas, et. al. 2015). The
questionnaire is considered as a primary method for collecting data in this research.
While focusing on the school students for data collection, the questionnaire is
considered to show accurate results. Randomly selected 50 students will answer the
questionnaire that will generate the results showing trend and shopping habits of the
customers.

SECONDARY METHOD OF DATA COLLECTION:
The data that is collected by other researchers in past or the one which was
published previously in some magazine or art gallery is considered as the secondary
data. The secondary data is usually collected from censuses, records of the
organizations or a particular party, governmental departments, previous researchers,
etc. The secondary data is considered as a part of quantitative data. This data is
helpful to researchers in generating appropriate results (Heeringa, et. al. 2017).
Apart from questionnaire as a primary data, this assignment is also based on the
facts and figures collected by the previous researchers on this topic which includes
the articles published in journals by UK government, retail price surveys, changing
trends, etc. This is helpful in targeting the correct population.

1.2 PRESENT THE SURVEY METHODOLOGY AND SAMPLING FRAME USED
A surveying method is a detailed approach of collecting the data from potential
customers and market to analyse the collected data and recover the valuable
information that will be helpful in properly implementing the decision-making process
(Moser and Kalton, 2017). In the context of this research project of understanding
the innovation implication, a survey is conducted on 100 students having the
shopping habit and investment nature. This will be helpful in the understanding
periodical changes in the market and shopping nature of the consumers. Apart from
this, it will also be helpful in understanding the socio-economic impact.
The most important and crucial features of data collection methods are interview
questions and questionnaire that generated a sample framework (Sullivan-Bolyai, et.
al. 2014). The designed questionnaire in this section sequence will describe various
questions to be asked that will derive required and suitable data according to the
topic. About n number of students are nominated from the whole populace who will
answer the survey. The sample size of this survey is described as follows:
Miscalculation chances: 5%
Positive variance or confidence interval: 95 %
Total populace: 2000 students
Responsive population: 60%
A sample of recommendation: 100 students
From about 2000 students across all the universities, about 100 students are chosen
to answer the questionnaire as a result of the sampling method.

1.3 DESIGN A QUESTIONNAIRE FOR COLLECTING DATA
The survey method of the questionnaire is a set of questions that have some written
questions in it with some choice answers and it is based on the formulate tenacity of
the survey. This questionnaire will be helpful in recognizing the spending behaviours
of the students. There are about 13 questions designed for this questionnaire that
are close-ended and are focused on collecting the data and information.
QUESTIONNAIRE
Respected Sir/Madam,
Please respond to the following questionnaire which is focused on understanding
the consumer behaviour towards shopping and how it has evolved with the
technological development. This research is aimed at understanding the influence of
technological development and innovation in multichannel shopping on the high
street shops and malls. There are some diminutive and close-ended questions
designed for this questionnaire which are required to answer genuinely.
Name: ___________________________________ Date:
____________________________
Address: _________________________________________________________
_____________________________ Contact no:
___________________________________

1. Are you a male or female?
a) Male
b) Female
2. How old are you?
a) Under 18
b) 18 – 25 years
c) Over 25 years
3. What are you studying?
a) Bachelor’s Degree
b) Master’s Degree
c) PhD Degree
4. How much you earn on monthly basis?
a) Less than 300 GBP
b) 300 - 600
c) 600 - 900
d) 900 - 1200
e) 1200 - 1500
f) 1500 - 1800
g) 1800 - 2100
5. Do you try different shopping channels for purchasing?
a) Yes
b) No
6. Which is the most preferred channel?
a) Online sites (Amazon, eBay, etc.)
b) Offline (Street shops, malls, etc.)

7. What amount do you spend on a single purchase?
a) Less than 300 GBP
b) 300 - 600
c) 600 - 900
d) 900 - 1200
e) 1200 - 1500
f) 1500 - 1800
g) 1800 - 2100
8. Do you face any problem while switching to different shopping channels?
a) Yes
b) No
9. If yes, which type of problem?
a) Late delivery
b) Quality compromise
c) Damaged product
d) No-delivery
e) No-guarantee
f) Other
10. How often you shop?
a) Regularly
b) Habitually
c) Sometimes on occasion
d) Unusually very rare
11. How much satisfied are you with the online shopping?
a) Strongly satisfied
b) Satisfied
c) Neutral
d) Dissatisfied

e) Strongly dissatisfied
12. Which is more beneficial?
a) Online shopping
b) Offline shopping
13. How much satisfied are you with the shopping on streets and malls?
a) Strongly satisfied
b) Satisfied
c) Neutral
d) Dissatisfied
e) Strongly dissatisfied
f)

TASK 2
2.1 SUMMARISE THE DATA COLLECTED FROM THE SURVEY USING
REPRESENTATIVE VALUES (ARITHMETIC MEAN, MEDIAN AND MODE)
The questionnaire designed above has tried to cover all the areas of online and
offline shopping and the satisfactory level customers have with both types of
shopping concept. The questionnaire was conducted by 100 university students
describing their shopping habits and changes in the habits because of the
developing technology and digital shopping methods. The focus was only students
belonging to age group of young generation from about 15 to 30 perusing either
graduation or post-graduation or PhD. Some undergraduates were also chosen. The
girls and boys were selected in equal ratio to generate more accurate results of the
survey. 50 male people and 50 female people responded to this survey. 26 people
were under 18, 37 people were belonging to the age group of 18 to 25 years and 37
people were more than 25 years old. 13 students earn less than 300 personally but
when asked, come of them were given pocket money from their parents to spend.
The survey resulted that the students pursuing master’s degree are more likely to
spend on shopping through different channels. There is no huge difference between
the online and offline shopping by them. All of them are most likely to prefer both
types of channels. Still, a little difference in the preference over online and offline
shopping, 54 people on 100 prefers online shopping services.
Different respondents have described issues that they have faced while shopping
online. Some of them have described the problem of damaged products received at
the time of delivery and some of them told that they have not received the product
ever. Some of them have responded that they have received the delivery of the
product very late. Some of the students described that they were not offered the
quality of the products same that was shown and described in the picture.

The students were also asked about their satisfaction level with the shopping
channel and how frequently they visit the multi-channels of shopping. The results
were a mix response. No option was in a higher ratio than other. Still a little less than
50% i.e. 48 of the shoppers are satisfied with the online shopping system and a little
more than 50% i.e. 54 of the shoppers are satisfied with the offline shopping
methods. There is not a huge difference and some of the buyers prefer both the
channels. People shopping on frequently are higher. High level of satisfaction was
found from the buyers preferring the shopping from high street and malls. It's just the
buyers find it efficient and easy to shop online otherwise the quality and price they
get from high street and malls are attractive.
This analysis has resulted that multichannel shopping has impacted the buying
habits of the customers at a huge level. This has divided the income gain of the
street shops and malls. Progressive technology has impacted the disposable income
of consumers and how they invest their income in buying things from different
mediums.

2.2 ANALYSE THE RESULTS OF THE SURVEY AND DRAW CONCLUSIONS
The research is focused on analysing the impact of digital technological shopping on
the high street shops and malls. The sample was prepared to ask from students
about their preference for shopping from in-store shopping such as malls, high street
shops, departmental stores etc. and online shopping from the websites such as
Amazon and eBay (Hong, et. al. 2016). As the students were focused on this
research, this was done so because they cover a basic age group that are interested
in shopping. The students pursuing masters were the people who prefer the
shopping most. The equal ratio of male and female were considered to derive the
accurate results covering a large area of shopping products. The students nowadays
prefer various shopping channels such mobile applications, shopping websites, etc.
to buy and compare different products as it makes easy for them to compare the
price, quality and other things of the product through online channels that too by
sitting at home. This creates a comfortable process for the students and other people
(Pappas, et. al. 2016). This has made the trend of digital shopping expand and lower
the profit revenue of street shops and malls.
The results gathered from survey describes that there are various issues faced by
the customers while buying products online. About 30% of the respondents were in
favour of visiting the online sites frequently for shopping but still, they are less
satisfied with the services offered. The level of satisfaction in purchasing offline from
street shops and malls is higher than the level of satisfaction with the online
purchasing.
This concludes that the influence marked by the developing technology that is used
by multichannel shopping on the high street shops and malls is very high and has
created a highly competitive edge for the street vendors. It has decreased their
market share.

2.3 ANALYSE THE DATA USING MEASURES OF DISPERSION
MEAN 1050.11
MEDIAN 900
MODE 400
QUARTILE DEVIATION 528
COEFFICIENT OF QUARTILE
DEVIATION
0.27
The results of the survey are analysed and described that there is a maximum
number having to earn between 300 to 600 GBP. According to the measure of
dispersions, the average amount a person is earning on monthly is basis is 1050.
The median of the grouped data shows that there are people earning more than 900
and also less than 900 but the middle value of earning by the students is 900 GBP.
According to the mode value, the maximum number of students has to earn of 444
GBP. The changing income price of the students has made their behaviour changed
towards the shopping. Despite fewer earnings, students are more likely to shop
through different channels. This shows that digital technology implication has not
only affected the street shops but also has attracted a high customer base that is
ready to spend on the shopping sited despite low income. The channels providing
high-quality products at fewer prices are attracting more customer base.
According to the average income gain of the students i.e. 1050, it is recommended to
the students to consider the shopping channels that can provide services and
products at less possible prices. Some comfortable services such as choice, variety,
delivery, etc. that are offered by shopping sites have influenced the earnings of the
departmental stores and street shops and malls. The above table has described the
measure of dispersions. The quartile deviation of the income group data is 528 which
is considered and declared on the basis of dividing the data into 4 equal parts has
suggested that the income of the students is on an average 528 and still they invest
a large amount on online shopping sites.

2.4 EXPLAIN HOW QUARTILES, PERCENTILES AND THE CORRELATION
COEFFICIENT ARE USED TO DRAW CONCLUSIONS IN A BUSINESS CONTEXT
A measure of dispersion was considered here in this research to analyse and
conclude the data about the income of the students and how much they spend on
the online and offline shopping methods. The use of a measure of dispersion has
helped in analysing the data and providing more accurate results. The mean,
median, mode, quartile deviation and coefficient of quartile deviation were used for
this research (Pronzato, 2015). Mean was helpful in indicating the average earning
of the students and assessing their behaviour towards online shopping according to
the earning. Median was considered to get an idea of what a middle person gain as
an income to spend on particular things while shopping online or offline. Mode
described the amount of income which is earned by the maximum people to describe
how the majority of the income group affect the whole data. In context, while draining
histogram, the mode is the longest bar describing the majority of the calculation
basis. Quartiles are also used in this research to gain an appropriate measure for
small groups and large groups and describe the accurate results. It creates an easy
to calculate the influence of the multichannel shopping on the malls' sales.
While estimating the information and data of a specific data set, the estimation is
referred to its percentile value. The percentiles used in this research has provided a
clear view on the changing habits of the customers and how socio-economic factors
have an influence on the shopping behaviour of the consumers on the basis of their
income and earnings (Jones, et. al. 2017).

Task 3
3.1 PREPARE GRAPHS TO HELP DRAW VALID CONCLUSIONS ON THE
SURVEY
1. Are you a male or female?
a) Male
b) Female
Male 50
Female 50
gender
male
female
2. How old are you?
a) Under 18
b) 18 – 25 years
c) Over 25 years
Under 18 26
18 – 25 years 37
Over 25 years 37

Age
Under 18
18 - 25
over 25
3. What are you studying?
a) Bachelor’s Degree
b) Master’s Degree
c) PhD Degree
Bachelor’s Degree 28
Master’s Degree 39
PhD Degree 33
Degree
Bachelor’s Degree
Master’s Degree
PhD Degree

4. How much you earn on monthly basis?
a) Less than 300 GBP
b) 300 - 600
c) 600 - 900
d) 900 - 1200
e) 1200 - 1500
f) 1500 - 1800
g) 1800 – 2100
Less than 300 GBP 13
300 - 600 25
600 - 900 12
900 - 1200 7
1200 - 1500 18
1500 - 1800 20
1800 - 2100 5
Earnings
Less than 300 GBP
300 - 600
600 - 900
900 - 1200
1200 - 1500
1500 - 1800
1800 - 2100

5. Do you try different shopping channels for purchasing?
a) Yes
b) No
yes 55
no 45
yes
no
6. Which is the most preferred channel?
a) Online sites (Amazon, eBay, etc.)
b) Offline (Street shops, malls, etc.)
Online sites 53
Offline 47

channel
Online sites
offline
7. What amount do you spend on a single purchase?
a) Less than 300 GBP
b) 300 - 600
c) 600 - 900
d) 900 - 1200
e) 1200 - 1500
f) 1500 - 1800
g) 1800 - 2100
Less than 300 GBP 11
300 - 600 16
600 - 900 13
900 - 1200 15
1200 - 1500 15
1500 - 1800 26
1800 - 2100 4

Spendings
Less than 300 GBP
300 - 600
600 - 900
900 - 1200
1200 - 1500
1500 - 1800
1800 - 2100
8. Do you face any problem while switching to different shopping channels?
a) Yes
b) No
yes 56
no 44
Problems
yes
female
9. If yes, which type of problem?
a) Late delivery

b) Quality compromise
c) Damaged product
d) No-delivery
e) No-guarantee
f) Other
Late delivery 15
Quality compromise 13
Damaged product 12
No-delivery 16
No-guarantee 10
Other 34
problems
Late delivery
Quality compromise
Damaged product
No-delivery
No-guarantee
Other
10. How often you shop?
a) Regularly
b) Habitually
c) Sometimes on occasion
d) Unusually very rare
Regularly 26
Habitually 34
Sometimes on occasion 28
Unusually very rare 12

Regularly
Habitually
Sometimes on occasion
Unusually very rare
11. How much satisfied are you with the online shopping?
a) Strongly satisfied
b) Satisfied
c) Neutral
d) Dissatisfied
e) Strongly dissatisfied
Strongly satisfied 26
Satisfied 22
Neutral 27
Dissatisfied 12
Strongly dissatisfied 13

satisfaction level
Strongly satisfied
Satisfied
Neutral
Dissatisfied
Strongly dissatisfied
12. Which is more beneficial?
a) Online shopping
b) Offline shopping
Online shopping 46
Offline shopping 54
Online shopping
Offline shopping

13. How much satisfied are you with the shopping on streets and malls?
a) Strongly satisfied
b) Satisfied
c) Neutral
d) Dissatisfied
e) Strongly dissatisfied
Strongly satisfied 34
Satisfied 20
Neutral 15
Dissatisfied 16
Strongly dissatisfied 15
satisfaction level
Strongly satisfied
Satisfied
Neutral
Dissatisfied
Strongly dissatisfied

3.2 CREATE TREND LINES IN SPREADSHEET GRAPHS TO SHOW THE LEVEL
OF IMPACT OVER A MINIMUM OF 3 YEAR
According to the merging trend of technology and organizations adopting the trend
and developing a trend of technology, it has directly affected the behaviour of
shoppers towards the buying culture and industry. It is very important for
shopkeepers to provide high quality and trustworthy solutions and services to the
customers to gain high satisfaction level from them. Different shopping channels and
digital implications over internet shopping on this have created a highly competitive
environment for the street shops and malls (Swilley and Goldsmith, 2015). Earlier,
the customer was believed in shopping from streets and malls to gain highly effective
quality and satisfaction level for returning, exchanging, guarantee, etc. Nowadays,
developing technology has made the life of people so busy that they do not get time
to spend on shopping in the market and this has led the development of online
shopping which has made it easier for people to shop from anywhere in the world
also by comparing the prices at different websites. The tech-savvy customers have
evolved this trend at a new level (Liaukonyte, et. al. 2015).
Different shopping channels are attracting customers especially those having a high-
income ratio and less time to waste. Customers are benefited with the desired
products at a comparative less possible price. This has become possible because of
innovation in technology but also has taken a huge market share from the street
vendors and malls (Cheawkamolpat, 2018).

[Source: https://barcode.com/201505194766/scanbuy-data-reveals-mobile-
shopping-trends-from-22-million-consumer-engagements.html]
Above given picture is describing the statistical data which was conducted by a
survey and describing that which gender is spending more on online shopping and
how much time usually they are giving to the shopping and the peak hours of the
online shopping. Which age group is spending more is also described in this
statistical figure.

[Source: https://www.marketingsherpa.com/article/chart/what-makes-
customers-want-to-buy]
Above given graph shows that there are some factors which have affected the online
shoppers in the year 2014 and 2013. Different factors, launching methods, mobile
application, etc. are an attraction to customers for shopping online.

3.3 PREPARE A POSTER PRESENTATION IN CLASS OF YOUR FINDINGS
It is a very difficult procedure to take any decision related to business especially
when the organization is facing highly competitive environment. The focus of this
report is on the impact of multichannel and technologically developed shopping on
the street shops and malls, there was a high influence seen through this research on
the market share, income generation and competition (Al-Debei, et. al. 2015). The
survey conducted by 100 students resulted in a large number of students using
different shopping channels and agreed their switching between the offline and
online shopping channels.

3.4 WRITE A FORMAL REPORT ON PUBLICATION IN THE RETAIL MAGAZINE
The consumers were seen to prefer
the offline channels of shopping
such as street shops and malls
earlier. They were believed to focus
on quality and guarantee of the
products earlier. But after the
technological development and
emergence of the online sites, the
customers’ especially young
generation and busy people are not
switching to an online method for
gaining more choices, varieties,
time preference and saving the
busy time (Hsu, et. al. 2014). This
technological development has
made the life of the people easier
but also has led the offline market
see a downfall in context to a
number of visitors and sales. This
technological development has
influenced whole retail industry at a
huge level. The technological
advancement not only has
progressed in e-commerce sector
but also in the growing
the network of the shoppers and vendors.
This has also enhanced the cope for retail
market to attract more customers by
adopting different attractive and
innovative ideas. Tech-savvy people are
in more attraction with these sites as they
have different designs on the websites.
These channels are helpful to people who
don’t have time to visit shops personally
or not able to visit. Developing network
has also developed the world economy
and adoption of these channels at a
global level has described that the world
is growing and developing together and
are also welcoming to the technology with
pen hands (Chen, et. al. 2015).

Task 4
4.1 USE APPROPRIATE INFORMATION PROCESSING TOOLS
The information processing tools are the one used for analysing the data in an
effective manner. Some of these tools used in this report are MS-Excel and MS-
projects. This was conducted on the basis of innovation development through
technology in online shopping and its impact on the street shopping. MS-Projects
were used to make the surveyor assess the time required by the project and MS-
Excel was used to analyse the statistical data in an effective manner (Lachman, et.
al. 2015).
TRANSACTION PROCESS SYSTEM
The transaction process system is the system used by organizations in context to
process the business activities comprising gathering, modifying and retrieving the
data. This system generates the immediate results and also identifies the error at the
same time of the processing transaction (Aragone, et. al. 2017).
MANAGEMENT INFORMATION SYSTEMS
The system designed for the purpose of organization and programming of the
financial system through computer-operated system and database is known as
management information system. It is done on each level of the business activities.
This is considered mainly because of providing performance information and
feedbacks to managers (Lee, 2014).
DECISION SUPPORT SYSTEM

The information system helping the organizations in making business decisions are
considered as the decision support system. Critical path method, NPP and IRR
calculations, etc. are some decision support system (Power, et. al. 2015).
4.2 PREPARE A PROJECT PLAN FOR AN ACTIVITY AND DETERMINE THE
CRITICAL PATH
Following is the network diagram designed that is describing 10 different activities
that should be completed for fulfilling the distribution process of the book.
The path A-C-E-G-I-J is requiring 27 WEEKS for the distribution.
The path B-C-E-F-I-J is requiring 20 WEEKS for the distribution.
The path A-C-E-G-I-J is more time consuming and taking 7 more weeks than the
path B-C-E-F-I-J. This may create a delay in the publication and distribution process
of the book for the distributor. Adopting the path B-C-E-F-I-J will be more beneficial

for the distributor as it is the shortest possible path and also the optimal one for
saving the time.

4.3 USING THE FINANCIAL TOOLS FOR DECISION MAKING
a) NPV CALCULATION
YEAR NET CASH FLOW PVIF @ 10 PER
CENT
DISCOUNTED
CASH FLOW
0 (15,000) 1 (15,000)
1 8,000 0.909 7,272
2 10,000 0.826 8,260
3 5,000 0.751 3,755
4 5,000 0.683 3,415
TOTAL 22,702
NPV = 22,702-15,000 GBP
NPV= 7,702 GBP
The NPV value that is the new value of the project is gained as a positive value. This
shows a positive indication for the project management to invest in the project.

b) IRR CALCULATION
YEAR NET CASH FLOW PVIF @ 20 PER
CENT
DISCOUNTED
CASH FLOW
0 (15,000) 1 (15,000)
1 8,000 0.833 6,664
2 10,000 0.694 6,940
3 5,000 0.579 2,895
4 5,000 0.482 2,410
TOTAL 18909
IRR = 10 + [(22,702 – 15000/ 22,702- 18,909)* 10]
IRR = 30.3 Percent
The rate of return calculated from above calculation is showing a return of 30%
which is a higher value. So, this project should be accepted as it will generate high-
profit revenue.

CONCLUSION
This research project was based on the criteria of the influence of technological
development and multichannel shopping on the street shops and malls. The survey
was conducted to find the accurate results for this and hence concluded that there is
a high impact of this technological development. The survey conducted making use
of a different measure of dispersion for accurate results. The business decision-
making process is very important and difficult. It can be done properly with the help
of some techniques such as critical path method, NPV calculation, IRR calculation,
etc. The last section of this report has made use of such techniques for making the
accurate decision for business development.

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