Digital Technology & Growth Operations at Amazon

This assignment examines the impact of digital technology on Amazon's growth operations. It analyzes how digital platforms improve sales and productivity, and highlights the use of investment appraisal tools for effective decision-making. The analysis emphasizes the role of data visualization through graphs and pie charts in presenting key information to stakeholders.

BUSINESS DECISION
MAKING
Contents

INTRODUCTION...........................................................................................................................1
TASK 1............................................................................................................................................1
1.1. Plan for collecting data....................................................................................................1
1.2. Survey methodology and sampling frame used:.............................................................2
1.3 Questionnaire for gathering data which are related to the technology evolution which
affects on the high street shops and malls:.............................................................................3
TASK 2............................................................................................................................................5
2.1 Summarize the data from the survey:...............................................................................5
2.2 Analyse the results of the survey:...................................................................................10
2.3 Data analysing using depreciation method:....................................................................12
2.4 Quartile, percentiles and correlation coefficient for data analysis:................................12
TASK 3..........................................................................................................................................12
3.1 Graphical presentation to draw valid conclusion:..........................................................12
3.2 Trend line:......................................................................................................................18
3.3 Poster Presentation:........................................................................................................18
3.4 Business Report:.............................................................................................................18
TASK 4..........................................................................................................................................19
4.1 Information processing tools..........................................................................................19
4.2.........................................................................................................................................20
..............................................................................................................................................20
4.3 Financial tools for decisions making:.............................................................................22
REFERENCES:.............................................................................................................................23

INTRODUCTION
Business decisions are the most crucial factor which helps the organisations to attain their
pre-set targets. However, this can be said that the organisations need to make certain effort in
order to gain the sustainable development. Under this report, this can be said that the company
needs to adopt various tools in order to take business decisions (Deutsch and et.al., 2016).
Decision can be taken after doing extensive research. under this report, primary and secondary
research is also emphasised questionnaire is framed out under this. Measure of description is also
mentioned under this, various groups findings are mentioned under this. However, this can be
said that the company needs to make certain tools which could be help out to make certain tools.
TASK 1
1.1. Plan for collecting data
The data is the most crucial factor for convening research. however, this can be said that
research is the conducted by using primary and secondary method for collecting of data. But,
before going to collect the data, there is a strong need to know about the area where the research
is going to conduct. The data mainly can be conducted by way odd doing primary and secondary
research. these are mentioned as under:
Primary source of method: Under this method, the data is collected for the first time.
This is the fresh data and no one can be conducted this method with knowing the market where
the research is going to conduct (Sköld, Alm and Scholz, 2013). However, this can be said that
the company needs to adopt various changes as per the management for collecting the data. The
main source of the data collecting technique under primary source are: questionnaire, survey,
observation and others. under this report, the data can be collected by using this method by using
questionnaire. The questionnaire will cover comprehensive information about the research of the
topic. Under this, the topic is related to the technological innovation and evolution of the
multichannel shopping influencing on the street shops and malls. For convening research by
using primary research method, there is a strong need to know about the potential consumers
who are directly or indirectly connected to the organisation. The main constraint for collecting
the data by using this method is that it is time consuming process and it will take more money for
collecting this. But this data is much reliable than the other one. Now, there is a strong need to
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make certain tools which can be used by the researcher whether this method is going to apply or
the other one.
Secondary research method: This is the another method which are used by the researcher
where the data collection requirement is huge. Secondary research method is the one which have
already been published somewhere and the researcher will extract the data from there in order to
make effective decisions. Although, this can be said this is method can be used by the researcher
if he/she thinks that research data requirement can be filled by this. The secondary data
collection method are the company records, internet, print media and the census and the other
government records which can be used by the researcher for collecting the data for completing
the research.
Under this report, the secondary data will not use that much. As the data requirement is
less or little that is the reason researcher will choose the primary research for collecting the data.
1.2. Survey methodology and sampling frame used:
There are various survey methodologies which helps the form business research in an effective
manner.
Survey methods: Survey refers to the process in order to assess the existing market position of
an entity and its performance. For this aim, researcher is entitled to make certain survey methods
in order to assess the technological impact on the high street shops and malls (Simon, 2015).
Therefore, survey method is a tool which is helpful for gathering data and demonstrating market
position of the company. According to the process system, diverse tools and techniques are
addressed for producing diverse kinds of views or perceptions that could lead to form report and
run business operations in an effective manner. Under survey method, the research related
questions are frequently asked from the respondents face to face interview to gather information
and enhancing knowledge related to the sound market positions. This is the primary research
method for collection of data via face to face interaction and diverse kinds of tools and
techniques. Although, survey methods are mentioned as under:
Sample survey/questionnaire: Under this process, researcher forms questionnaire comprises of
question lists. Additionally, the researcher considers the respondents randomly and ask frequent
questions to them. Henceforth, various views are obtained for which firm’s effectiveness could
be attained. Under this research, the researcher selects 20 respondents from the potential
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marketplace in order to emerge viewpoints to enhance efficiency of the college entity (Pettigrew,
2014).
Sampling: Under sampling method, researcher applies diverse techniques for sampling such as
cluster, random sampling methods and so on. Henceforth, he selects respondents in alternative
forms. While under random sampling method, the researcher opts respondents randomally.
Henceforth, via this process system, diverse opinions are gathered which remains helpful for
further operations of the firm.
Random sampling method: Under this method, various respondents are used in order to make
certain tools so that the business can be attained effectively. under this method, 20 respondents
are selected from the total number of population resides in the market place.
According to the provided scenario, this can be said that the researcher needs to analyse the
technology innovation so that their impacts on the high street shops can be seen effectively. For
collecting the data from the market place where the researcher is going to extract information
that could be helpful for making decisions in an effective manner.
1.3 Questionnaire for gathering data which are related to the technology evolution which affects
on the high street shops and malls:
Questionnaire comprise of various questions related to the service rendered by the firm and
gathering respondents’ opinion on its performance. Questionnaire is a kind of research tool
which covers of series questions in order to gather information connected to firm’s performance.
Under this, researcher asks questionnaire from the respondents which gives their diverse views
on firm’s quality services.
Kinds of questionnaire: There are several kinds for convening survey demonstrated in the
forms such as face to face questions and questions through open and fixed response
questionnaire covering this, questions are likewise asked in the form of online survey such as:
mail and implementing social networking sites and so on (Nowduri, 2011).
Importance of questionnaire: This covers a list of questions concerned to quality services
of the company. Under this process, researcher form questionnaire and frequently ask questions
to respondents connected to business activities. Although, it usefulness could be assumed as
below:
 Supportable to attain existing position of the company.
 Produce diverse ideas connected to the quality services and enhancement in them.
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 Actual environment of an entity is gained by which further implementation could
be attained for positive and eco-friendly atmosphere.
Thus, researcher frequently ask undermentioned questions to the 20 respondents in
order to come to the main conclusion.
Questionnaire
NAME:
AGE:
Q.1 Does technology affects the business which have their own store?
a). Yes
b). No
Q.2 Do you think; online shopping sites affects the physical stores?
a). Badly affects.
b). Less affect
c). Can’t say
Q.3 Do you think that the technology spoils the local stores?
a) Absolutely yes
b). Absolutely no
c). Can’t say
Q.4. In your opinion, social online site affects the shops badly?
a). Yes
b). No
c). Can’t say
Q.5 From which place, you buy the product?
a). Via online
b). Via offline
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Q.6 What kinds of products you buy the most?
a). Trendy
b). Fashionable
c). Others
Q.7 What price will you like to spend the money?
a). £5-10
b). £10-15
c). £15-35
d). £35-100
e). £100 and above
Q.8 Would you think that online business will overtake the offline business in the forthcoming
year?
a) Yes
b). No
c). Can’t tell
TASK 2
2.1 Summarize the data from the survey:
Q.1 Does technology affects the business of physical store?
a). Yes 18
b). No 2
Mean 10
Median 10
Mode 0
5

Q.2 Do you think; online shopping sites affects the physical stores?
a). Badly affects. 12
b). Less affect 2
c). Can’t say 6
Mean 6.666667
Median 6
Mode 0
Q.3 Do you think that the technology spoils the local stores?
a) Absolutely yes 17
b). Absolutely no 1
c). Can’t say 2
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Mean 6.666667
Median 2
Mode 1
Q.4. In your opinion, social online site affects the shops badly?
a). Yes 16
b). No 2
c). Can’t say 2
Mean 6.666667
Median 2
Mode 0
7

Q.5 From which place, you buy the product?
a). Via online 13
b). Via offline 7
Mean 10
Median 10
Mode 6
Q.6 What kind of products you buy the most?
a). Trendy 14
b). Casual 4
c). Others 2
Mean 6.666667
Meadian 4
Mode 0
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Q.7 What price will you like to spend the money?
a). £5-10 2
b). £10-15 3
c). £15-35 6
d). £35-100 5
e). £100 and above 4
Mean 4
Median 4
Mode 2
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Q.8 Would you think that online business will overtake the offline business in
the forthcoming year?
a) Yes 18
b). No 1
c). Can’t tell 1
Mean 6.666667
Median 1
Mode 0
2.2 Analyse the results of the survey:
Researcher gather the data under which various viewpoints are produced for evaluating
respondents’ opinion on the technology uses (Mitchell and et.al., 2016). Under this procedure,
hypothesis for information is produced which is helpful for applying decision-making procedure
in the future time. Although, research assessment covers mean, median and mode of collecting
quantitative information. As per this procedure, data gathering is done via sample survey and
getting answers from the respondents.
Number of
respondents Rank given by students (out of 5)
1 1
2 1
3 2
4 1
5 3
6 1
10

7 2
8 2
9 4
10 3
11 2
12 2
13 2
14 2
15 1
16 2
17 1
18 2
19 3
20 1
Mean: It is the simplest form of the data forecasting and interpretation under which average of
the entire provided components is calculated. This is the average value of the set of observation.
Under this process, sum of two or more set numbers is divided by the total number of
components (Lewis, 2015). Henceforth, mean is identified via this average method through
which decisions are incorporated for further company’s operations. Henceforth, identifying mean
is average basic tool and calculating average opinions of respondents.
Median: This is known as the middle value of the gathered quantitative information. Under
which, huge number of variables are split into two portions and further remaining middle value is
considering as the median (Kline, 2010). Henceforth, middle value of the entire variables is
known as the median of the collected data. Henceforth, median is an efficient data for
interpreting gathered data. Although, median is an efficient data interpretation variable for data
collection.
Mode: This is the most repetitive number in variable adopts mode under which frequency of
numbers are considered. As per this procedural system, repetitive variables are identified through
which forecasted data is formed. Apart from this, via evaluating mode, data analysis is produced
which leads to form decisions for running business operations. Henceforth, this can be said that
the quantitative information is generated in order to make business decisions.
Mean 1.9
Median 2
Mode 0
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2.3 Data analysing using depreciation method:
Standard Deviation 0.852242
Correlation
coefficient
0.08351
From the above quoted table, this can be said that the standard deviation connection to
the respondents are mentioned as 0.85. While on the other hand, correlation coefficient between
two abovementioned variables is 0.08351. which reflects a great sign.
2.4 Quartile, percentiles and correlation coefficient for data analysis:
Quartile assist in evaluating the value in connection with each quarter like 1,2,3. Under
this report, by incorporating assessment of the performance of the research could draw
justifiable conclusion. Percentile demonstrates of the data set in the form of percentage.
Therefore, this is one of the crucial aspects which distinguish the percentile from the
quartile.
Q1 and 25th
percentile
1
Q2 and 50th
percentile
2
Q3 and 75th
percentile
2
TASK 3
3.1 Graphical presentation to draw valid conclusion:
Q.1 Does technology affects the business of physical store?
a). Yes 18
b). No 2
12

Interpretation: Under this pie chart, this can be said that 18 respondents assumes that the digital
technology affects the physical store.
Q.2 Do you think; online shopping sites affects the physical stores?
a). Badly affects. 12
b). Less affect 2
c). Can’t say 6
Interpretation: As per the above mentioned question, this can be said that the 12 respondents
out of 20 thinks that online shopping affects badly. While on the other hand, 6 respondents think
that it does not affect the physical store.
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Q.3 Do you think that the technology spoils the local stores?
a) Absolutely yes 17
b). Absolutely no 1
c). Can’t say 2
Interpretation: As per the bar chart, this can be said that the 17 respondents thinks that
technology spoils the local store effectively.
Q.4. In your opinion, social online site affects the shops badly?
a). Yes 16
b). No 2
c). Can’t say 2
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Interpretation: According to this pie chart, this is observed that the 16 respondents thinks that
social online sites affects badly the local street shops.
Q.5 From which place, you buy the product?
a). Via online 13
b). Via offline 7
Interpretation: According to this chart, this is assumed that the 13 respondents prefer to buy the
product via online while rest buy products via offline.
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Q.6 What kind of products you buy the most?
a). Trendy 14
b). Casual 4
c). Others 2
Interpretation: As per the this most of the buyer prefer to buy the trendy products.
Q.7 What price will you like to spend the money?
a). £5-10 2
b). £10-15 3
c). £15-35 6
d). £35-100 5
e). £100 and above 4
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Interpretation: According to this, most of the respondents would like to buy the products between
the range from 15-35.
Q.8 Would you think that online business will overtake the offline business in
the forthcoming year?
a) Yes 18
b). No 1
c). Can’t tell 1
Interpretation: As per this, 18 respondents thinks that the online business will overtake the
offline business in the forthcoming years.
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3.2 Trend line:
Trend line is the technique which is used for making analysis of pattern in an effective
manner. by forming assessment of the trendy company, this can develop as this use for making
strategy for the future. Under this, by assessing the trend line management of the Amazon
company, preferable actions can be produced in their growth and profitability context.
From the above mentioned trend line, this can be said that the income of the company is
going up in the next three years which reflects a good sign for the company. And the company is
prospering effectively in the near future.
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3.3 Poster Presentation:
3.4 Business Report:
To
Retail Time Magazine
Date: 31st January, 2018
Subject: “Impacts of technology innovation on street shops and malls”
Introduction:
According to information collected from above research process about various impacts
of technology on streets and mall, it has been reported that because of innovation
maximum business operations are moving toward online market. This particular report
is explaining various challenges needed to be faced by competitive environment for
retailers, positive customers and smart marketing. These specific analysis is providing
various impacts according to its changing nature of high street and malls. The impact on
retail marketing is more as compare to other sectors.
Methodologies: In current survey, it provides huge insight regarding the implication of
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technologies on malls or street shops. In that process, both primary and secondary
sources of data collection is being used. With sample size of 20 respondents those are
selected from making review about their perception about innovation in technologies is
effective idea in the present scenario. In accordance with using effective tools in the
ways of various charts.
Findings: After making complete analysis, it has been found that people are mainly
thinks that this particular move is making huge impacts on their productivity. Because
most of them are booking their order while, using online applications. This will be
reducing the turnover of employees as well as total revenue.
Recommendations: From the above, analysis it has been suggested that shops and
mall are needs to make their entire operations by using online mode. But, charges needs for
online booking must be higher as compare to manual orders.
TASK 4
4.1 Information processing tools
For supporting the aspects of decision making of organisation to a great manager level, they
undertake various information and software processing tools and techniques which is mentioned
as below:
 Operational Level: For making beneficial decision, transaction process framework at
operational level. In this system, manger undertake the decisions according the business
transaction. TPS shows the appropriate report linked with expanses level and behaviour
of consumer for decision making. UKCBC use this process as a tool for managing
financial transaction in effective way. E.g. In case of decrease on profit level on constant
basis, through enterprise software of planning can use transaction process to manage cost.
 Tactical Level: The system of decision support is used at tactical level at the workplace
by manager. Manager are not able to make effective decision in highly strategic
environment of business (Goodman, J.K., Cryder, C.E. and Cheema, A., 2013). In it, DSS
aid in unit of business in devising plan through creating estimation for future position.
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 Strategic Level: In this, manager use the MIS for ensuring the effective decisions. MIS
support manager through helping in effective decision by making expertise report. Such
software includes the data linked with various Dept. such as marketing, accounting,
finance etc. In the report of MIS, the software manufacture aid in manager's strategic
level in creating the competent structure. In this manager come in the consideration in
decisions of routine life in the effective way. Thus, MIS render higher assistance level to
manager which helps in admission and allotment work. Hence, through assessing linked
information of United Kingdom, CBC can make appropriate decision according for
development and growth.
4.2
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Path A: 1,4,6,10= 8+6+1= 15 Days
Path b: 1,5,7,10= 8+4+4+1=17 days
Path c: 1,5,8=8+4+6=18 days
Path d: 2,4,6,10= 2+6+3+1=12 days
Path e: 3,6,10=2+3+1=6 days
As per the above mentioned network diagram reflects that company needs to follow below
mentioned path. By adhering these path, company will need to complete the plan throughout the
suitable time frame. From the above mention critical paths, the one which is taking least time is
more useful for analysing data.
4.3 Financial tools for decisions making:
Year Cashflows P.V@10% Present value
0 -15000 1 -15000
1 8000 0.909091 7272.727273
2 10000 0.826446 8264.46281
3 5000 0.751315 3756.574005
4 5000 0.683013 3415.067277
total pv 22708.83136
NPV 7708.831364
IRR 23%
NPV: This is the net present value which is calculated by deducting present value of cash
inflows from the present value of cash outflows. NPV is 7708.83.
IRR: This is the point where the NPV becomes zero. The IRR in this question is calculated as
23%.
CONCLUSION
It has been concluded from the above report that, there is huge impact of digital
technology in growth operations of Amazon. Application of digital technology enhances the
decision making power of management of Amazon regarding completion of their tasks and
objectives. Use of digital technology provides online platforms which is used by organisation
improve sales and productivity. There are many investment appraisal tools are used which
provides relevant and accurate information. To effectively present such information there is use
of many graphs and pie charts which is used by stakeholders to interpret important conclusions.
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REFERENCES:
Books and Journals:
Goodman, J.K., Cryder, C.E. and Cheema, A., 2013. Data collection in a flat world: The
strengths and weaknesses of Mechanical Turk samples. Journal of Behavioral Decision
Making. 26(3). pp.213-224.
Kline, J., 2010. Ethics for International Business: Decision-making in a global political
economy. Routledge.
Lewis, S., 2015. Qualitative inquiry and research design: Choosing among five approaches.
Health promotion practice. 67(1). pp.113-167.
Mitchell, S. and et.al., 2016. Providing end-of-life care in general practice: findings of a national
GP questionnaire survey. Br J Gen Pract. 66(5). pp.647-653.
Nowduri, S., 2011. Management information systems and business decision making: review,
analysis, and recommendations. Journal of Management and Marketing Research. 7. p.1.
Pettigrew, A.M., 2014. The politics of organizational decision-making. Routledge.
Simon, R., 2015. Sensitivity, specificity, ppv, and npv for predictive biomarkers. Journal of the
National Cancer Institute. 107(8). pp.153.
Sköld, K., Alm, H. and Scholz, B., 2013. The impact of biosampling procedures on molecular
data interpretation. Molecular & Cellular Proteomics. 12(6). pp.1489-1501.
Deutsch, E.W. and et.al., 2016. Human proteome project mass spectrometry data interpretation
guidelines 2.1. Journal of proteome research. 15(11). pp.3961-3970.
Online
Investment appraisal techniques. 2017. Online. Available through: < http://www.capital-
investment.co.uk/capital-investment appraisal.php>.
UKCBC performance. 2016. [online]. Available through:
<http://seofiles.s3.amazonaws.com/seo/media/uploads/2017/03/17/unit-6-data-collection-
in-business-decision-making-assignment-5.PNG.
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