Eco-Fone Case Study

This case study focuses on the examination and evaluation of the UK mobile market, with a specific focus on Eco-Fone smartphones. It discusses the strengths and weaknesses of the business and highlights the importance of mobile phones. The study also includes predictions for the future of the mobile market in the UK.

ECO-FONE CASE
STUDY

Contents
INTRODUCTION...........................................................................................................................3
TASK 1............................................................................................................................................3
TASK 2............................................................................................................................................4
TASK 3............................................................................................................................................5
TASK 4............................................................................................................................................6
TASK 5............................................................................................................................................7
TASK 6............................................................................................................................................7
TASK 7............................................................................................................................................8
TASK 8............................................................................................................................................9
TASK 9..........................................................................................................................................10
TASK 10........................................................................................................................................11

INTRODUCTION
Eco Fone Smartphones is indeed a UK-based app retailer with two stores, another in Putney and
the other in Richmond. Smart phones are becoming an integral part of the country's personal
lives. The project study focuses on the examination and evaluation of mobile market patterns in
the United Kingdom. The study details the analysis of the UK mobile market, and it includes
predictions to assist Eco-fone. The analysis of the project also discusses the strengths and
weaknesses of through business. The mobile phone apps of the above-mentioned company were
included in the study.
TASK 1
(a) Study of UK mobile business sector.
In the background of the UK, there have been a number of online devices that consumers
purchase. The mobile are some of the most widely used by users. In the current period the
mobile market is projected to expand significantly. The research suggests mobile phones are
accessed from internet networks with a 30 % increase. The bulk of the products shopping are
around 50%. Computers are bought by a 15 percentage points for several electronic devices
(About smartphone business in UK. 2019). That is evident. The UK smartphone industry is still
too small and is expected to grow by a significant amount throughout the coming years. The first
and only touch screen was introduced about 10 years earlier and mobile phones being constantly
being built after this date. Such mobile phones offer camera features, complex device setups, and
much more. As a result, smart phones are rapidly placed in various consumer categories. Mobile
phone usage is projected to hit 95 % by 2022.
(b) Importance of mobile phones.

TASK 2
Line chart from 2012 to 2017.
2012 2013 2014 2015 2016 2017 2018 2019
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
52%
62%
70%
76% 81% 85%
94% 94%
Smartphones Use by adults
Year Smartphones Use by
adults
2012 52%
2013 62%
2014 70%
2015 76%

2016 81%
2017 85%
2018 94%
2019 94%
Utilization of the smartphones is expected for 2018 and 2019. Throughout the intervening
years the use of these devices has grown from the previous definition and figures. This
methodology cannot also differ greatly, because in this situation the linear correlation of
variables and actions could not be inferred or excluded, as this technique was not true in this
case. In these situations, the use of an additive straightening approach to make a true prediction
may be used to generate a predicted valuation for a given date in the future. The Exponential
Smoothing (ETS) method is evaluated in the tables below for 2018 and 2019.
Year Smartphones Use by
adults
2012 52%
2013 62%
2014 70%
2015 76%
2016 81%
2017 85%
2018 91%
2019 98%
TASK 3
Key features make mobile phones important to older customers
In global business, the use of phones depends on a person's age, because older people can
quite quickly alter. It shows very well over 71 % of consumers has private smart phones and are
under 55 to 75 years in age, as stated in the Deloitte 2017 study Some important features that
make smartphones more popular with elderly customers are listed following:
Larger screen: This is among the main benefits of phones and is popular among elderly
customers. Although the system characters are larger in size, fonts may be defined easily.

Good sound output: It helps users to be fully open to all sorts of issues. This is particularly
important for older users, as they can sense sounds despite damaging their ears.
Links to the social media platform: Old people are typically aged and get some spare time
to interact with their fellow beings and senior residents. Fifty per cent of the aged have such a
Facebook and 70 per cent of the overall population were adults.
Affordability: This is also a big attribute of mobile phones that will lure more clients. That's
because it's easy to use and carry cell phones everywhere. These apps are very user friendly and
can be carried forth by holding in pockets at a certain spot.
TASK 4
Kingston Company Extension Judgment.
Eco-Fone had intended to expand its operations in Kingston. Through this context the
advantages and disadvantages of growing industry are as follows:
Advantages Score/10 Disadvantages Score/10
1. Performance and output
volume increased.
8 1. Long sum of capital
necessary.
7
2. Enhanced Brand
Expansion.
9 2. Increased logistical issues. 6
3. Superior software network. 8 3. Lack of appropriate cost
monitoring.
5
4. Probability of rising market
share.
9 4. Present Commodity
Shortages.
4
5. Increased profit premium 8 Higher ratio of employee
turnover.
6
Total pros 42 Total cons 28
Average pros 8.4 Average cons 5.6
In the other side, like the average pros worth is 8.4, the average disadvantage is 5.6.
Accordingly, the organization above will be growing its market at Kingston. It's so because they
would generate profit in future.

TASK 5
Depending on the calculated bank rate amount above, it can be concluded that the
company has to pay tax of 38419.32 pounds for just a period of at least 180 months or 15 years.
They will pay for 180 day for 3201.61 pounds a month. They shall then bill 38419 pounds for a
combined debt of 350000 pounds in support of loans.
(b) Famous company of UK that grant loan.
TASK 6
Efficiency two retail shops of Eco Fone Company.

In Putney & Richmond, Eco-Fone has 2 shops where the overall net take-up of the
market can be measured to determine the shop's the profits are strong compared to other markets.
The company markets a range of products and equipment:
1st store-
Mean => 100 pounds
S.D => 20 pounds
C.V. = S.D. / mean * 100
=> 20 / 100 *100
=> 20 %
2nd store-
Mean => 90 pounds
S.D. => 40 pounds
C.V. = standard deviation / mean * 100
=> 40 / 90 *100
=> 44.44 %
Analysis: According to the above approximate uncertainty factor meaning, it can be
developed that the results are distinctive for both firms. Much as in the store one aspect, the
variance coefficient can be measured as 20 per cent. In another side, the variance element in the
second store context is 44.44 per cent. The second shop is much better than the last one, it shows.
It is for the difference in estimated output. That's how there are often differences in context and
uniform variance.
TASK 7
In this scenario, when asked about the last time they purchased something from Eco Fone,
the answer was 2,95, which indicates that typical customers buy something from their store in
the last 3 to 6 months, and it's positive for the company though. When asked how many
merchandise they always had to purchase at Eco Fone shops they answered 2.89 (1-3 years).
ID Q1 Q2 Q3a Q3b Q3c Q3d Q4 Q5 Q6
Mean
values
2.95145
6
2.89320
4
1.98058
3
2.50485
4
3.25242
7
2.51456
3
2.51456
3
2.52427
2
3.70873
8

In this scenario, when asked about the last time they purchased something from Eco Fone,
the answer was 2,95, which indicates that typical customers buy something from their store in
the last 3 to 6 month, and it's positive for the company though. When asked how many
merchandise they always had to purchase at Eco Fone shops they answered 2.89 (1-3 years).
Question 3 includes four items about customer satisfaction scores, product results, sales staff and
cost-added benefits. Like in question 4, 5 and 6, it was calculated the standard of support reached
by eco-fone customers and the likelihood. The level of quality reached by Eco-Fone consumers
is assessed in Questions 4, 5 and 6. Depending on a user's average interest, they don't really
enjoy the practices of Eco Fone but will certainly suggest them to their family and friends who
may not be staying with their clients.
TASK 8
Main source like ours in above business for poisson delivery.
Poisson distribution: A Poisson distribution is a linear mathematical equation that indicates
how much an occurrence may occur within a specified time span (Cordeiro, Rodrigues and de
Castro, 2012). It is used over a defined period of time for isolated incidents which occur at a
steady rate. The Poisson distributions is a dependent variable which means that an occurrence
can only be calculated as occurring or not, and can be decided only in complete numbers. A
sequence of Poisson can be used in certain ways to predict that something more would
eventually occur "X" many times.
Variation reflects an uncommon phenomenon.
This may be used in the Eco-Fone Corporation context to classify bill failure discrepancies.
In the very same calculation, it performs the following:

TASK 9
REFERENCES
Books and journal:
Cordeiro, G. M., Rodrigues, J. and de Castro, M., 2012. The exponential COM-Poisson
distribution. Statistical papers. 53(3). pp.653-664.
Jamkhaneh, E .B. and Gildeh, B. S., 2012. Acceptance Double Sampling Plan using Fuzzy
Poisson Distribution 1.
Online:
About smartphone market in United Kingdom. 2019. [online] available
through:<https://www.deloitte.co.uk/mobileuk2017/assets/img/download/global-
mobile-consumer-survey-2017_uk-cut.pdf>
About smartphone feature. 2019. [online] available through:
<https://www.bbc.com/news/technology-41319684>

TASK 10
The analysis is divided into numerous parts, like the first discovery of the high mobile sector
in the United Kingdom, in which mobile phone penetration is considerably greater than other
electronic goods. The second feature is that they cannot implement the regression form. The
absence of variables is the explanation why this template could not be placed into effect. The
third obstacle is improvements such as larger screen formats and enhanced sound levels to allow
older customers to use such apps.