DATA ANALYSIS CH4

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Study Objectives

The general objective of the study is to determine if there is a correlation between the security confidence level of the various generations and the usage of mobile banking, health, retail, gaming, sport, music, and social media apps.

Specifically, the study has the following objectives;

· To determine if there is a correlation between the security confidence level of baby boomers and the usage of mobile banking, health, retail, gaming, sport, music, and social media apps.

· To determine if there is a correlation between the security confidence level of generation X and the usage of mobile banking, health, retail, gaming, sport, music, and social media apps.

· To determine if there is a correlation between the security confidence level of generation Y and the usage of mobile banking, health, retail, gaming, sport, music, and social media apps.

Research Questions

1- Is there a correlation between the security confidence level of baby boomers and the usage of mobile banking, health, retail, gaming, sport, music, and social media apps?

2- Is there a correlation between the security confidence level of generation X and the usage of mobile banking, health, retail, gaming, sport, music, and social media apps?

3- Is there a correlation between the security confidence level of generation Y and the usage of mobile banking, health, retail, gaming, sport, music, and social media apps?

Research Hypothesis:

H01: There is no correlation between the security confidence level of baby boomers and the usage of mobile banking applications.

Ha1: There is a correlation between the security confidence level of baby boomers and the usage of mobile banking applications.

H02: There is no correlation between the security confidence level of baby boomers and the usage of mobile health applications.

Ha2: There is a correlation between the security confidence level of baby boomers and the usage of mobile health applications.

H03: There is no correlation between the security confidence level of baby boomers and the usage of mobile retail applications.

Ha3: There is a correlation between the security confidence level of baby boomers and the usage of mobile retail applications.

H04: There is no correlation between the security confidence level of baby boomers and the usage of mobile gaming applications.

Ha4: There is a correlation between the security confidence level of baby boomers and the usage of mobile gaming applications.

H05: There is no correlation between the security confidence level of baby boomers and the usage of mobile sport applications.

Ha5: There is a correlation between the security confidence level of baby boomers and the usage of mobile sport applications.

H06: There is no correlation between the security confidence level of baby boomers and the usage of mobile music applications.

Ha6: There is a correlation between the security confidence level of baby boomers and the usage of mobile music applications.

H07: There is no correlation between the security confidence level of baby boomers and the usage of mobile social applications.

Ha7: There is a correlation between the security confidence level of baby boomers and the usage of mobile social applications.

H08: There is no correlation between the security confidence level of Generation X and the usage of mobile banking applications.

Ha8: There is a correlation between the security confidence level of Generation X and the usage of mobile banking applications.

H09: There is no correlation between the security confidence level of Generation X and the usage of mobile health applications.

Ha9: There is a correlation between the security confidence level of Generation X and the usage of mobile health applications.

H010: There is no correlation between the security confidence level of Generation X and the usage of mobile retail applications.

Ha10: There is a correlation between the security confidence level of Generation X and the usage of mobile retail applications.

H011: There is no correlation between the security confidence level of Generation X and the usage of mobile gaming applications.

Ha11: There is a correlation between the security confidence level of Generation X and the usage of mobile gaming applications.

H012: There is no correlation between the security confidence level of Generation X and the usage of mobile sport applications.

Ha12: There is a correlation between the security confidence level of Generation X and the usage of mobile sport applications.

H013: There is no correlation between the security confidence level of Generation X and the usage of mobile music applications.

Ha13: There is a correlation between the security confidence level of Generation X and the usage of mobile music applications.

H014: There is no correlation between the security confidence level of Generation X and the usage of mobile social applications.

Ha14: There is a correlation between the security confidence level of Generation X and the usage of mobile social applications.

H015: There is no correlation between the security confidence level of Generation Y and the usage of mobile banking applications.

Ha15: There is a correlation between the security confidence level of Generation Y and the usage of mobile banking applications.

H016: There is no correlation between the security confidence level of Generation Y and the usage of mobile health applications.

Ha16: There is a correlation between the security confidence level of Generation Y and the usage of mobile health applications.

H017: There is no correlation between the security confidence level of Generation Y and the usage of mobile retail applications.

Ha17: There is a correlation between the security confidence level of Generation Y and the usage of mobile retail applications.

H018: There is no correlation between the security confidence level of Generation Y and the usage of mobile gaming applications.

Ha18: There is a correlation between the security confidence level of Generation Y and the usage of mobile gaming applications.

H019: There is no correlation between the security confidence level of Generation Y and the usage of mobile sport applications.

Ha19: There is a correlation between the security confidence level of Generation Y and the usage of mobile sport applications.

H020: There is no correlation between the security confidence level of Generation Y and the usage of mobile music applications.

Ha20: There is a correlation between the security confidence level of Generation Y and the usage of mobile music applications.

H021: There is no correlation between the security confidence level of Generation Y and the usage of mobile social applications.

Ha21: There is a correlation between the security confidence level of Generation y and the usage of mobile social applications.

CHAPTER FOUR: DATA ANALYSIS AND FINDINGS

Introduction

This section provides an analysis and interpretation of data that was collected to answer the following research questions; Is there a correlation between the security confidence level of baby boomers and the usage of mobile banking, health, retail, gaming, sport, music, and social media applications? Is there a correlation between the security confidence level of generation X and the usage of mobile banking, health, retail, gaming, sport, music, and social media applications? And, Is there a correlation between the security confidence level of generation Y and the usage of mobile banking, health, retail, gaming, sport, music, and social media applications? To enhance the validity and reliability of data collected both quantitative and qualitative data were triangulated and data presentation was done using tables and notes.

Social-Demographic Characteristics of Respondents

This section presents the results of the social demographic attributes of the respondents who took part in this survey. The respondents’ profiles varied greatly as the survey covered five demographic variables that included gender, age, household income, occupation, and educational status. The distribution of the study respondents in this study according to their social demographic attributes is presented in the following tables.

A total of 302 respondents took part in this survey. The first question required respondents to identify their gender and a majority of the respondents 69.21% were women followed by 30.13% men and the minority 0.66% who identified themselves as others. The summary of gender representation in this study is shown in Table 1 Comment by Author: You need to add a new row for total at the bottom of your tables 1-6

Table 1: Gender distribution Comment by Author: 302

Variable Classes

N

%

Female

209

69.21%

Male

91

30.13%

Other (please specify)

2

0.66%

The next social-demographic attribute included the age of the respondents. Majority of the respondents 31.02% were between 30 to 44 years old, followed by 29.04% who were aged between 45-60 years. There were no respondents who were below 18 years of age. The summary of the age distribution is presented in Table 2. Comment by Author: old Comment by Author: all were under 81? Or you mean under 18??? Comment by Author: What about who are older than 60 years old??

Table 2: Age Group Distribution Comment by Author: 303

Variable classes (Years)

N

%

< 18

0

0.00%

18-29

62

20.46%

30-44

94

31.02%

45-60

88

29.04%

> 60

59

19.47%

Further, respondents were grouped to classes of three generational ranges namely; Baby boomers (1944-1964), Generation X (1965- 1979) and Generation Y (1980-2000). The results of this survey indicated that the majority of the respondents 38.28% were from Generation Y, followed by 33.33% Baby Boomers and the minority 28.38% Generation X. The summary of the results is shown in Table 3.

Table 3: Generational Distribution Comment by Author: 302

Variable Classes (Generational ranges)

N

%

Baby boomers (1946-1964)

101

33.33%

Generation X ( 1965-1980)

86

28.38%

Generation Y (1981-2000)

116

38.28%

Respondents of this study were asked to identify their level of education. Majority of the respondents 27.81% had attained some college education with no degree followed by 24.17%, 22.85% and 14.24% who had attained a graduate degree , bachelor’s degree and high school degree or its equivalent respectfully. The minority of the respondents has attained less than high school degree level of education. The summary of the distribution of education level is presented in Table 4. Comment by Author: Numbers don’t match table 4 Comment by Author: Not true, check your table

Table 4: Educational Status Distribution Comment by Author: 303

Variable Classes (Educational Status)

N

%

Less than high school degree

7

2.32%

High school degree or equivalent (e.g., GED)

43

14.24%

Some college but no degree

84

27.81%

Associate degree

26

8.61%

Bachelor degree

69

22.85%

Graduate degree

73

24.17%

The respondents were asked to indicate their level of household income. Majority of the respondents 21.21% had a total annual income of $25,000-$49,999 followed by 20.20% who indicated $0-$24,999. The minority group 2.02% had a total annual income of $175,000 – $199,999. The summary of the survey’s household annual income is presented in Table 5.

Table 5: Household Income Distribution

Variable Classes

N

%

$0-$24,999

60

20.20%

$25,000-$49,999

63

21.21%

$50,000-$74,999

48

16.16%

$75,000-$99,999

39

13.13%

$100,000-$124,999

31

10.44%

$125,000-$149,999

16

5.39%

$150,000-$174,999

13

4.38%

$175,000-$199,999

6

2.02%

$200,000 and up

21

7.07%

To further understand the demographics of the respondents, the respondents were requested to identify their occupations. Majority of the respondents 9.57% were employed within the education and medical sectors respectively. This was followed by 5.94% and 5.28% who were employed in the Arts, designs, entertainment, sports and media and, business and finance sectors respectively. The minority 0.33% were employed in the transport sector. The summary is presented in Table 6.

Table 6: Occupational Distribution

Variable Classes

N

%

Arts, Design, entertainment, sports and media

18

5.94%

Business and Financial Operations

16

5.28%

Computer and mathematical

15

4.95%

Construction and Extraction

6

1.98%

Education

29

9.57%

Food Preparation and Serving

10

3.30%

Legal

10

3.30%

Management

14

4.62%

Manufacturing

12

3.96%

Medical

29

9.57%

Office and Administrative support

13

4.29%

Public Administration

3

0.99%

Service

12

3.96%

Student or Scholar

12

3.96%

Transportation

1

0.33%

Other (please specify)

103

33.99%

Mobile Devices Usage and Security Confidence

To understand the type of mobile devices used by study respondents who participated in this survey, a series of questions were designed to obtained information on the type of mobile used by respondents, frequency of use, type of mobile application they use most, security concerns of various applications, and level of confidence against each mobile application among other security features. The descriptive results of these results are presented in the following tables. Comment by Author: grammar

The first question was designed to probe the type of mobile devices used by the survey respondents. Majority of the respondents 49.83% revealed that they used android mobile devices followed by 44.55% who use iPhone devices and the minorities 0.33% who use Blackberry and Windows mobile respectively. Summary results are presented in Table 7

Table 7: Type of Mobile Devices Distribution Comment by Author: 303

Variable Classes

N

Responses

iPhone

135

44.55%

Android

151

49.83%

Blackberry/RIM

1

0.33%

Windows Mobile

1

0.33%

Other (please specify)

15

4.95%

Investigations on the usability of the mobile applications were done by requesting respondents to indicate the number of hours they spend on a daily basis on each of the mobile. The results of this study indicated that majority of the respondents spend less than one hour in mobile apps including mobile sports apps (84.16%), health apps (79.54%) banking apps (69.64% ) and retail apps (60.73) respectively. These results were somehow consistent with the results presented in Graph 2 which indicated that a few respondents had little trust in these apps at various levels. Social media apps emerged as one of the top mobile apps that most respondents spend much of their time in. A summary of the results of this analysis is presented in Graph 2 . ? Where is the graph 1 and 2,,where is the table for the graphs 1, 2? Comment by Author: Can you present it in a table Comment by Author: Where is graph 1 Graph one should be before graph 2

Graph 1: Amount of hours spent on different mobile applications

To investigate whether respondents feel secure with their smartphones to enable them to use mobile apps to do online transactions, a guiding question was presented to them with a list of various mobile applications and asked to gauge each application against a 5-Likert scale ranging from I don’t trust at all to I totally trust. Results of this study revealed that majority of the respondents 16.89% and 34.44% trusted and totally trusted music apps compared to other apps. This was followed by gaming apps with 24.08% and 9.63% trust and total trust respectively. Health apps have the least number of people who had a total trust in them followed by mobile retail apps. The trend of the results of this analysis is summarized in graph 1. Comment by Author: What does this number represent 16.89%?? 34.44% Comment by Author: Can you put all numbers in a table

Graph 1: Level of security confidence against different mobile apps

Further to understand the how respondents rated various factors related to mobile apps and security confidence, a variety of questions were designed to enable the researcher get their immediate responses on a 5 scale Likert Chart ranging from strongly agree, agree, neutral, disagree and strongly disagree. As presented in Table 8, respondents of this study had varied perception towards mobile applications and security issues. First, the respondents were requested to indicate their level of agreement on whether they have ever considered changing mind from using mobile apps because of security reasons; Majority, 19.7% and 35.97% strongly agreed and agreed respectively to this statement. Comment by Author: scale

Table 8: Descriptive Statistics on Mobile Apps usage and security confidence

Factors

Responses

Strongly Agree

Agree

Neutral

Disagree

Strongly Disagree

Had you ever change your mind from using mobile apps because of the security issues?

19.7%

35.97%

25.74%

13.53%

5.28%

Do you think if the mobile apps production companies make their product more secure it will influence your decision to use it?

25.74%

45.54%

21.45%

4.29%

2.97%

Do you trust saving your credit card information on your mobile apps?

5.94%

22.44%

16.1%

25.41%

30.03%

Do you think using mobile applications will put your privacy at risk

22.11%

45.21%

26.07%

5.61%

0.99%

Do you think Encryption and other technological security measures on the Internet make it safe for you to use mobile apps

9.90%

40.26%

34.32%

11.55%

3.96%

Do you feel comfortable using mobile apps if the security is guaranteed

25.08%

41.58%

22.11%

8.25%

2.97%

Do you feel more protected if the mobile application asks for its own password or PIN each time you use it

21.78%

43.56%

23.10%

8.58%

2.97%

Do you think using free mobile apps are secured?

5.94%

13.20%

45.21%

25.08%

10.56%

Do you think using paid mobile apps are secured?

6.93%

20.46%

47.19%

18.15%

7.26%

Secondly, concerning the improvement of mobile apps by production companies to make them secure received a higher rating as a majority 45.54% and 25.74% of the respondents agreed and strongly agreed respectively that such improvement would influence their decision to using various mobile applications presented to them. Similar observation was made when the respondents were asked if they would feel comfortable using mobile apps if the security was guaranteed as majority 41.58% and 25.08% agreed and strongly agreed to the statement respectively. In addition, majority of the respondents 45.21% and 22.11% agreed and strongly agreed respectively that mobile application are capable of posing their privacy at risk. The summary of results of this analysis are presented in Table 8. Comment by Author: re word this and pay attention to the data in the table that match your interpolations. Comment by Author: is

In this study will be adapted in this research 0.05

To answer the research questions of this study, various hypotheses was coined to help the researcher determine how different variables (Generation of the respondents) interacted with the dependent variables (Mobile Apps security) of this study. This was done by carrying out a cross-tabulation of Generation of respondents against a given mobile app. All hypotheses of this study were tested using chi square analysis as most of the data was homogeneous in nature and hence testing correlation between two variables was found to be appropriate . Where level of significance was found (meaning the p value was less than 0.05) the alternative hypothesis were accepted as the null hypothesis were rejected and vice versa. Comment by Author: spelling Comment by Author: what do you mean Comment by Author: were Comment by Author: ??? What is the level of significance and the confidence interval in your testing?? Where did get this #?

Determining the statistical relationship between security confidence levels between the three generations and the use of mobile health applications, cross tabulations, and chi-square tests were conducted as the nature of the data was homogenous. Presented in table 9 The results of this study indicated the majority of the respondents 37.4% held a neutral opinion on security confidence of health applications among the baby boomers. This was followed by 28.3% of respondents who had some trust in the security confidence of the health apps. Among the Generation X respondents, the majority of the respondents 36.0% has some trust in the security of the health applications followed by 33.7% who held a neutral opinion. Lastly, for the Generation Y, the majority of the respondents 40.7% had a neutral opinion on the security confidence of the health apps followed by 24.6% who had some trust on the security features of the health application. In general, there was no statistical difference (χ² (8) = 17.417, p = 0.066) between the degree of level of confidence on health application against the three generations. This means that there is no correlation between the security level of health applications and the generation of the respondents. Comment by Author: Reword it

As presented in Table 9, the following set of hypotheses were tested and results are as follows:

H02: There is no correlation between the security confidence level of baby boomers and the usage of mobile health applications (χ² (8) = 17.417, p = 0.066 = Accepted). The p value was found to be greater than 0.05** hence, arriving to a conclusion that there is no correlation between the security confidence level of baby boomers and the usage of mobile health applications Comment by Author: What is this

Ha2: There is a correlation between the security confidence level of baby boomers and the usage of mobile health applications (χ² (8) = 17.417, p = 0.066 = Rejected). The hypothesis was rejected because the p value was found to be greater than 0.05. Meaning there was no significance differences between security confidence and usage of health apps by baby boomers.

H09: There is no correlation between the security confidence level of Generation X and the usage of mobile health applications (χ² (8) = 17.417, p = 0.066 = Accepted). The p value was found to be greater than 0.05 hence, arriving to a conclusion that there is no correlation between the security confidence level of Generation X and the usage of mobile health applications

Ha9: There is a correlation between the security confidence level of Generation X and the usage of mobile health applications (χ² (8) = 17.417, p = 0.066 = Rejected). The hypothesis was rejected because the p value was found to be greater than 0.05. Meaning there was no significance differences between security confidence and usage of health apps by Generation X.

H016: There is no correlation between the security confidence level of Generation Y and the usage of mobile health applications ((χ² (8) = 17.417, p = 0.066 = Accepted). The p value was found to be greater than 0.05 hence, arriving to a conclusion that there is no correlation between the security confidence level of Generation Y and the usage of mobile health applications

Ha16: There is a correlation between the security confidence level of Generation Y and the usage of mobile health applications (χ² (8) = 17.417, p = 0.066 = Rejected). The hypothesis was rejected because the p value was found to be greater than 0.05. Meaning there was no significance differences between security confidence and usage of health apps by Generation Y.

Table 9: Differences in Level of Security Confidence on Mobile Health Applications and Generation of the Respondents

Variable

I don't trust

I just don't trust

Neutral

Some low trust

I totally trust

Total

Baby boomers

% within generation

21.1%(21)

7.1%(7)

37.4%(37)

28.3%(28)

6.1%(6)

100.0%(99)

% within level of agreement

47.7%(21)

21.9%(7)

32.5%(37)

31.8%(28)

26.1%(6)

Generation X

% within generation

12.8%(11)

12.8%(11)

33.7%(29)

36.0%(31)

4.7%(4)

100%(86)

% within level of agreement

20.5%(11)

34.4%(11)

25.4%(29)

35.2%(31)

17.4%(4)

Generation Y

% within generation

11.8%(14)

11.9%(14)

40.7%(48)

24.6%(29)

11.0%(13)

100%(118)

% within level of agreement

31.8%(14)

43.8%(14)

42.1%(48)

33.0%(29)

56.5%(13)

Total

100%(44)

100%(32)

100%(114)

100%(88)

100%(23)

100%(303)

Chi-square

χ² (8) = 17.417, p = 0.066

1

Further investigations on the level of security confidence of banking applications were done against the three generations of the respondents. According to the results of this analysis, majority of the baby boomers 27.2% and 26.3% did not trust and had a neutral opinion regarding the security confidence of banking apps respectively. For Generation X, majority of the respondents 32.6% and 29.1% had some trust and neutral opinion on the security of the banking apps respectively. Lastly, the majority of the respondents 35.6% and 28.0% in Generation Y had some trust and neutral opinion on the security confidence of the banking applications. The results of this analysis were a similar trend as the majority of the held a neutral to some trust towards the security of the banking apps. Overall, there were no statistical differences between security confidences of the banking applications and the generations of the respondents (χ² (8) = 8.713, p = 0.367). The summary of this statistical analysis is shown in Table 10.

Table 10: Differences in Level of Security Confidence on Mobile Banking Applications and Generation of the Respondents

Variable

I don't trust

I just don't trust

Neutral

Some low trust

I totally trust

Total

Baby boomers

% within generation

27.2%(27)

15.2%(15)

26.3%(26)

24.2%(24)

7.1%(7)

100.0%(99)

% within level of agreement

44.3%(27)

41.7%(15)

31.0%(26)

25.5%(24)

25.0%(7)

Generation X

% within generation

17.4%(15)

9.3%(8)

29.1%(25)

32.6%(28)

11.6%(10)

100%(86)

% within level of agreement

24.6%(15)

22.2%(8)

29.8%(25)

29.8%(28)

35.7%(10)

Generation Y

% within generation

16.1%(19)

11.0%(13)

28.0%(33)

35.6%(42)

9.3%(11)

100%(118)

% within level of agreement

31.1%(19)

36.1%(13)

39.3%(33)

44.7%(42)

39.3%(11)

Total

100%(61)

100%(36)

100%(84)

100%(94)

100%(28)

100%(303)

Chi-square

χ² (8) = 8.713, p = 0.367

This was guided by the following hypotheses:

H01: There is no correlation between the security confidence level of baby boomers and the usage of mobile banking applications (χ² (8) = 8.713, p = 0.367= Accepted).

Ha1: There is a correlation between the security confidence level of baby boomers and the usage of mobile banking applications (χ² (8) = 8.713, p = 0.367= Rejected).

H08: There is no correlation between the security confidence level of Generation X and the usage of mobile banking applications (χ² (8) = 8.713, p = 0.367= Accepted).

Ha8: There is a correlation between the security confidence level of Generation X and the usage of mobile banking applications (χ² (8) = 8.713, p = 0.367= Rejected).

H015: There is no correlation between the security confidence level of Generation Y and the usage of mobile banking applications (χ² (8) = 8.713, p = 0.367= Accepted)..

Ha15: There is a correlation between the security confidence level of Generation Y and the usage of mobile banking applications (χ² (8) = 8.713, p = 0.367= Rejected).

Further investigations on the level of security confidence of retail applications were against the three generations of the respondents. This was guided by the following hypotheses

H03: There is no correlation between the security confidence level of baby boomers and the usage of mobile retail applications (χ² (8) = 9.803, p = 0.458= Accepted).

Ha3: There is a correlation between the security confidence level of baby boomers and the usage of mobile retail applications (χ² (8) = 9.803, p = 0.458= Rejected).

H010: There is no correlation between the security confidence level of Generation X and the usage of mobile retail applications ((χ² (8) = 9.803, p = 0.458= Accepted).

Ha10: There is a correlation between the security confidence level of Generation X and the usage of mobile retail applications (χ² (8) = 9.803, p = 0.458= Rejected).

H017: There is no correlation between the security confidence level of Generation Y and the usage of mobile retail applications ((χ² (8) = 9.803, p = 0.458= Accepted).

Ha17: There is a correlation between the security confidence level of Generation Y and the usage of mobile retail applications (χ² (8) = 9.803, p = 0.458= Rejected).

Table 11 Differences in level of security confidence on mobile retail applications and generation of the respondent.

Variable

I don't trust

I just don't trust

Neutral

Some low trust

I totally trust

Total

Baby boomers

% within generation

16.2%(16)

11.1%(11)

33.3%(33)

35.4%(35)

4.0%(4)

100.0%(99)

% within level of agreement

39.5%(16)

28.9%(11)

33.7%(33)

34.3%(35)

16.0%(4)

Generation X

% within generation

9.3%(8)

17.4%(15)

31.4%(27)

33.7%(29)

8.1%(7)

100%(86)

% within level of agreement

18.4%(8)

39.5%(15)

27.6%(27)

28.4%(29)

28.0%(7)

Generation Y

% within generation

13.5%(16)

10.2%(12)

32.2%(38)

32.2%(38)

11.9%(14)

100%(118)

% within level of agreement

42.1%(16)

31.6%(12)

38.8%(38)

37.3%(38)

56.0%(14)

Total

100%(40)

100%(38)

100%(98)

100%(102)

100%(25)

100%(303)

Chi-square

χ² (8) = 9.803, p = 0.458

In a general, these hypotheses were made to determine the correlation between security confidence level of the three generations and the usage of mobile retail applications. Results of this study indicate that the majority 35.4% and 33.3% of the baby boomers had some trust and were neutral concerning the security of the retail mobile applications respectively. Majority of the Generation Y 33.7% and 31.4% had some trust and neutral opinion respectively concerning the security of the retail apps. Lastly, the majority of Generation Y 32.2% had some trust and

neutral perception on the usage of retail apps. These results such the ones presented in Table 11 indicate that across the three generations respondents had some trust and neutral opinion on the security of the retail apps. However, there were no statistical differences between the level of confidence of retail apps and the generation of the respondents (χ² (8) = 9.803, p = 0.458) (Table 11).

Further investigations on the level of security confidence of sporting apps were done against the three generations of the respondents. This was guided by the following hypotheses

H04: There is no correlation between the security confidence level of baby boomers and the usage of mobile gaming applications (χ² (8) = 25.304, p = 0.005= Rejected).

Ha4: There is a correlation between the security confidence level of baby boomers and the usage of mobile gaming applications ((χ² (8) = 25.304, p = 0.005= Accepted).

H011: There is no correlation between the security confidence level of Generation X and the usage of mobile gaming applications ((χ² (8) = 25.304, p = 0.005= Rejected).

Ha11: There is a correlation between the security confidence level of Generation X and the usage of mobile gaming applications (χ² (8) = 25.304, p = 0.005= Accepted).

H018: There is no correlation between the security confidence level of Generation Y and the usage of mobile gaming applications ((χ² (8) = 25.304, p = 0.005= Rejected).

Ha18: There is a correlation between the security confidence level of Generation Y and the usage of mobile gaming applications (χ² (8) = 25.304, p = 0.005= Accepted).

Results of this analysis compared significance levels within generations and within the level of agreement across the three generations. As presented in Table 11, the results of this study found significant statistical differences (χ² (8) = 25.304, p = 0.005) on two categories of level of agreement between the three generations. Firstly, most of the baby boomers (57.4%) indicated that they didn’t trust gaming apps compared to the generation X (16.7%) and generation Y

(25.9%). Secondly, a majority of Generation Y (58.6%) had a total trust of gaming application compared to 27.6% of the generation Y and 13.8% of the Baby boomers. This meant that, Ha4: There is a correlation between the security confidence level of baby boomers and the usage of mobile gaming applications and Ha18: There is a correlation between the security confidence level of Generation Y and the usage of mobile gaming applications were accepted. The results of this analysis are presented in Table 11

Table 11 Differences in level of security confidence on mobile gaming applications and generation of the respondents

Variable

I don't trust

I just don't trust

Neutral

Some low trust

I totally trust

Total

Baby boomers

% within generation

32.4%(32)

9.1%(9)

31.3%(31)

23.2%(23)

4.0%(4)

100.0%(99)

% within level of agreement

57.4%* (32)

28.1%(9)

31.0%(31)

26.7%(23)

13.8%(4)

Generation X

% within generation

11.6%(10)

14.0%(12)

34.9%(30)

30.2%(26)

9.3%(8)

100%(86)

% within level of agreement

16.7%(10)

37.5%(12)

30.0%(30)

30.2%(26)

27.6%(8)

Generation Y

% within generation

11.8%(14)

9.3%(11)

33.1%(39)

31.4%(37)

14.4%(17)

100%(118)

% within level of agreement

25.9%(14)

34.4%(11)

39.0%(39)

43.0%(37)

58.6%(17)*

Total

100%(56)

100%(32)

100%(100)

100%(86)

100%(29)

100%(303)

Chi-square

χ² (8) = 25.304, p = 0.005

Further investigations on the level of security confidence of music apps were done against the three generations of the respondents. This was guided by the following hypotheses.

H06: There is no correlation between the security confidence level of baby boomers and the usage of mobile music applications (χ² (8) = 19.219, p = 0.038=Rejected).

Ha6: There is a correlation between the security confidence level of baby boomers and the usage of mobile music applications (χ² (8) = 19.219, p = 0.038=Accepted).

H013: There is no correlation between the security confidence level of Generation X and the usage of mobile music applications ((χ² (8) = 19.219, p = 0.038=Rejected)

Ha13: There is a correlation between the security confidence level of Generation X and the usage of mobile music applications (χ² (8) = 19.219, p = 0.038=Accepted).

H020: There is no correlation between the security confidence level of Generation Y and the usage of mobile music applications ((χ² (8) = 19.219, p = 0.038=Rejected).

Ha20: There is a correlation between the security confidence level of Generation Y and the usage of mobile music applications ((χ² (8) = 19.219, p = 0.038=Accepted).

Results of this analysis showed that there were significant differences (χ² (8) = 19.219, p = 0.038*) between the level of security confidence on mobile music applications and generation of the respondents. The levels of significance were found within baby boomers whose majority (56.2%) of the respondents indicated that they did not trust music applications at all compared to 21.9% of respondents within Generation X and Y who indicated that they did not trust music apps. On contrary, another significance difference was found within the Generation X whose majority 54.9% of the respondents indicated that they had a total trust of the music apps compared to 21.6% of the generation Y and 23.5% of the baby boomers.

Variable

I don't trust

I just don't trust

Neutral

Some low trust

I totally trust

Total

Baby boomers

% within generation

18.2%(18)

10.1%(10)

29.3%(29)

30.3%(34)

12.1%(12)

100.0%(99)

% within level of agreement

56.2%(18)*

47.6%(10)

30.9%(29)

28.8%(30)

23.5%(12)

Generation X

% within generation

8.1%(7)

7.0%(6)

33.7%(29)

38.4%(33)

12.8%(11)

100%(86)

% within level of agreement

21.9%(7)

28.6%(6)

30.9%(29)

31.7%(33)

21.6%(11)

Generation Y

% within generation

6.7%(8)

4.2%(5)

30.5%(36)

34.7%(41)

23.7%(28)

100%(118)

% within level of agreement

21.9%(8)

23.8%(5)

38.3%(36)

39.4%(41)

54.9%(28)*

Total

100%(33)

100%(21)

100%(94)

100%(104)

100%(51)

100%(303)

Chi square

χ² (8) = 19.219, p = 0.038*

In general, these results indicate that most baby boomers do not trust music applications whereas the majority of the generation Y have total trust, meaning that most respondents from the generation Y may prefer using music app compared to the baby boomers who do not trust it at all. Thus hypothesis Ha6: There is a correlation between the security confidence level of baby boomers and the usage of mobile music applications and Ha20: There is a correlation between the security confidence level of Generation Y and the usage of mobile music applications are accepted. The summary of the statistical analysis is presented in Table 12.

Table 12 Differences in level of security confidence on mobile music applications and generation of the respondents

Further investigations on the level of security confidence of social apps were done against the three generations of the respondents. According to analysis presented in Table 13 there was no statistical differences χ² (8) = 16.031, p = 0.099 in the level of security confidence on mobile social applications and generations of the respondents. However, 65.4% of the respondents within generation Y had a total trust of social media apps compared 15.4% of generation X and 19.2% of the baby boomers. On the contrary, the majority of the respondents 44.1% of the baby boomers didn’t have trust with the social media applications compared to 28.8% of generation X and 27.1% of the generation Y who had no trust with the apps. These results show some consistency with other results that correlated gaming and music apps against the three generations (Table 11 and Table 12).

H05: There is no correlation between the security confidence level of baby boomers and the usage of mobile sports applications (χ² (8) = 16.031, p = 0.099=Accepted).

Ha5: There is a correlation between the security confidence level of baby boomers and the usage of mobile sports applications (χ² (8) = 16.031, p = 0.099=Rejected)

H012: There is no correlation between the security confidence level of Generation X and the usage of mobile sports applications (χ² (8) = 16.031, p = 0.099=Accepted).

Ha12: There is a correlation between the security confidence level of Generation X and the usage of mobile sports applications (χ² (8) = 16.031, p = 0.099=Rejected).

H021: There is no correlation between the security confidence level of Generation Y and the usage of mobile social applications (χ² (8) = 16.031, p = 0.099=Accepted).

Ha21: There is a correlation between the security confidence level of Generation Y and the usage of mobile social applications (χ² (8) = 16.031, p = 0.099=Rejected)

Table 13 Differences in level of security confidence on mobile social applications and generation of the respondents

Variable

I don't trust

I just don't trust

Neutral

Some low trust

I totally trust

Total

Baby boomers

% within generation

27.3%(27)

18.2%(18)

30.3%(30)

19.2%(19)

5.1%(5)

100%(99)

% within level of agreement

44.1%(27)

40.0%(18)

29.7%(30)

27.1%(19)

19.2%(5)

Generation X

% within generation

19.8%(18)

14.0%(12)

36.0%(31)

24.4%(21)

4.7%(4)

100%(86)

% within level of agreement

28.8%(18)

26.7%(12)

30.7%(31)

30.0%(21)

15.4%(4)

Generation Y

% within generation

13.6%(16)

12.7%(15)

33.9%(40)

25.4%(30)

14.4%(17)

100%(118)

% within level of agreement

27.1%(16)

33.3%(15)

39.6%(40)

42.9%(30)

65.4%(17)

Total

100%(61)

100%(45)

100%(101)

100%(70)

100%(26)

100%(303)

Chi-square

χ² (8) = 16.031, p = 0.099

Lastly, to investigation, the on the level of security confidence of social apps was done against the three generations of the respondents. This was guided by the following hypotheses

H05: There is no correlation between the security confidence level of baby boomers and the usage of mobile sports applications (χ² (8) = 15.715, p = 0.108=Accepted).

Ha5: There is a correlation between the security confidence level of baby boomers and the usage of mobile sports applications (χ² (8) = 15.715, p = 0.108=Rejected).

H012: There is no correlation between the security confidence level of Generation X and the usage of mobile sports applications (χ² (8) = 15.715, p = 0.108=Accepted)

Ha12: There is a correlation between the security confidence level of Generation X and the usage of mobile sports applications (χ² (8) = 15.715, p = 0.108=Rejected).

H019: There is no correlation between the security confidence level of Generation Y and the usage of mobile sports applications (χ² (8) = 15.715, p = 0.108=Accepted).

Ha19: There is a correlation between the security confidence level of Generation Y and the usage of mobile sports applications (χ² (8) = 15.715, p = 0.108= Rejected).

Results of this analysis as presented in Table 15 shows that there were no statistical differences in the level of security confidence on mobile sports applications and generation of the respondents ( χ² (8) = 15.715, p = 0.108). However, the majority of the respondents in Generation Y (55.6%) had a total trust on the sports apps compared to 18.5% of generation X and 25.9% of the baby boomers. On the contrary, the majority of the baby boomers (50.0%) had a decent trust sports apps as compared to the 22.5% of generation X and 27.5% of the generation Y. The summary of this analysis is shown in Table 15.

Table 15 Differences in level of security confidence on mobile sports applications and generation of the respondents

Variable

I don't trust

I just don't trust

Neutral

Some low trust

I totally trust

Total

Baby boomers

% within generation

20.1%(20)

7.1%(7)

45.5%(45)

20.2%(20)

7.1%(7)

100.0%(99)

% within level of agreement

50.0%(20)

21.9%(7)

35.2%(45)

27.8%(20)

25.9%(7)

Generation X

% within generation

11.7%(10)

12.8%(11)

39.5%(34)

30.2%(26)

5.8%(5)

100%(86)

% within level of agreement

22.5%(10)

34.4%(11)

26.6%(34)

36.1%(26)

18.5%(5)

Generation Y

% within generation

11.9%(14)

11.9%(14)

41.5%(49)

22.0%(26)

12.7%(15)

100%(118)

% within level of agreement

27.5%(14)

43.8%(32)

38.3%(49)

36.1%(26)

55.6%(15)

Total

100%(44)

100%(32)

100%(128)

100%(72)

100%(27)

100%(303)

Chi-square

χ² (8) = 15.715, p = 0.108

CHAPTER FIVE: DISCUSSION, CONCLUSION, AND RECOMMENDATIONS

Summary/Discussion

The importance of security and confidence level of using different applications in smartphones is widely acknowledged today in baby boomers, generation X and generation Y. The marketability and easy user-application integration depend majorly on how the user trusts these applications from the perspective of privacy and confidentiality. Mobile application developers, therefore, need to ensure the efficiency and productivity of mobile applications is ensured through beefing up security and confidence level within users (Andreas & Haenlein, 2010). However, there is a research niche of identifying which mobile applications should be considered by application developers when increasing security levels, to improve their usage and confidence level among users. The research tailers on major research questions of determining the correlation between security confidence level in baby boomers, generation X, and generation Y, and the usage of mobile banking, health, gaming, retail, gaming, sport, music, and social

media applications. Furthermore, the quantitative research design through questionnaires provides the best research approach in answering these research questions and proving the hypothesis.

Berraies et al. (2017), summarises the top risks associated with mobile applications as weak server-side controls, insecure data storage, unintended data leakage, poor authentication and authorisation, broken cryptography, insufficient transport layer protection, lack of binary protections, and client-side injection. These mobile application risks are responsible for reducing the confidence level of various users, especially in the mobile banking sector. However, other mobile applications including social media apps, continue to receive much enthusiasm from users without the fear of security issues whatsoever. The security and confidence level within users often depend on the functionality of the applications in use. Most users tend to go for applications with higher functionality — the analysis in this research aimed at identifying the effects of values in mobile banking application on the customer. Berraies et al. (2017) establish a correlation between security and confidence level with mobile banking applications among baby boomers, generation X, and generation Y. This support the results obtained in the research on the correlation between security confidence level of baby boomers, generation X, and generation Y, in the usage of financial applications.

Usability of mobile application depends on the type of mobile devices adopted by different users across the smart devices field. The results recognised android based applications as the most used applications by users. The other mobile phone devices in descending order are iPhone, Blackberry/RIM and window mobile. Therefore, android mobile applications developers seem to be the highly targeted on the issue of security confidence level, as it records the most users. The usability of different types of applications is also crucial in knowing where most users utilise their time when using mobile phone applications (Bennett et al., 2017). The investigation shows many mobile application users use their time in social media apps compared to other apps including mobile sports apps health apps, banking apps, and retail apps in that order of importance. Social media and sports applications are not linked with any security malpractices which portrays a higher security confidence level compared to other applications. However, there are variances in usage with users across all the generations utilising nearly close to hours on a daily basis. Other applications including health, banking and retail shows elevated occurrences of low-security levels among users.

Mobile application users also show varying trust towards different applications in mobile phones. According to Bonneau & Preibusch (2010), mobile application users tend to trust applications that only give feedback instead of those enquiring for both authentication and authorisation documents from users. This classification of mobile applications includes banking, health, retail, gaming, sport, music, and social media applications. The functionality of the mobile application depends on the authentication and authorisation protocols kept in place to ensure users have secure access to information. Mobile applications from the research results recorded the high percentages of trust and total trust of 24.08% and 9.63% respectively. Mobile music applications are trusted because they only require g-mail or any other email authentication to download, view online, or send a song. The other application in the descending order of being trusted by users includes gaming, banking, health, retail, social media, and sports. Surprising, mobile banking applications are receiving cases of improved trust because of the continued efforts by banking app developers and the banking sector in increasing informational technology security infrastructure including antivirus and firewalls (Laforet & Li, 2005). With proper authentication and authorisation procedures, the mobile application can borrow a lot from mobile banking application to increase security confidence level among users.

There is no correlation between the security confidence level to the usage of mobile health application across the baby boomers, generation X, and generation Y. Majority of the respondents across all the generations raised little concern about the trust towards mobile health applications, but the majority score was noted among those with a neutral feeling about their data security when using mobile health applications. Baby boomers show a high level of neutrality on security level followed with some low trust. In generation X, majority shows low trust (36%) of mobile health applications followed by neutrality (33.7%), which supports the assertion of there being no correlation of security confidence level and mobile health application usage. In Generation Y, the majority shows neutrality with a score of 40.7% while trusting at 33%. The hypothesis test using chi-square shows no statistical difference in the level of degree of mobile health applications across the three generations. This finding answers the first hypothesis on the correlation between health application usage to the security confidence level. The transferring of the conclusion is noted from Chen et al. (2010), claims there is a high level of smartphones acceptance among medical practitioners and patients.

In the banking sector, users of online mobile banking applications tend to be concerned with their financial security because of online fraudsters and hackers who tend to steal. However, the banking sector especially in the U.S.A, after reported incidences of a cyber-attack on many banks, has advanced informational security which continues to increase confidence level among users especially in mobile banking applications. Therefore, there is no correlation between security confidence level of baby boomers, generation X, and generation Y, and the usage of mobile banking applications. Majority of respondents in baby boomers showed a little trust and neutral concern towards security level recording 27.2 and 26.3% respectively. In Generation X, the majority shows little trust and neutrality towards banking applications security with a recording of 32.6% and 29.1% respectively. In Generation Y, the trend was similar to the majority having little trust and neutrality with a recording of 35.6% and 28.0% respectively. The prevalence of trust in security level in mobile banking applications were high in Generation Y compared to others. Therefore, usage of mobile banking applications is not determined by the security confidence level of the application (Edosomwan et al., 2011). The statistical differences were not noted between security confidences of mobile banking applications and the generations.

In the retails sector, the use of e-commerce platforms has increased with many customers relying on online purchases of goods and services. However, security concerns are on the rise, with many users being concerned about their financial details especially bank details (Buttner, 2016). The research question based on determining the connection between security level and mobile retails applications in purchases and payment. Furthermore, many cyber crimes target this area as many customers tend not to know how to defend important information such as passwords which are stolen through malware and trojans. However, there is no correlation between security confidence level and the usage of mobile retail applications within baby boomers, Generation X, and generation Y. In Baby boomers, the majority had trust and neutral perception towards security levels with 35.4 and 33.3% respectively. In Generation X, the majority showed some trust and neutral opinion towards security levels recording 33.7% and 31.4 % respectively. In Generation Y, a similar trend of some trust and neutral opinion prevails with 32.2% in both on the security level when using mobile retail apps. Therefore, the usage of the mobile retail application is not determined by the level of security confidence across all the generation. The absence of statistical difference between the levels of confidence of mobile retails apps in respect to the generations, proves the assertions.

In the gaming field, both game frontiers and funs use online platforms to obtain gaming information and also gambling through betting. However, the level of security concerns is not elevated as the applications used are feedback channels (Chen et al., 2010). The high level of security concerns arises when money exchanges come in place especially when betting. These mostly allude the connection between security levels and usage of sporting mobile applications. From the research finding, the hypothesis of a correlation between security confidence and usage of mobile sports holds. There is noted significant statistical difference two categories of level of agreement in baby boomers, Generation X, and Generation Y. In baby boomers, nearly half of the respondents indicated lack of trust towards gaming applications. In Generation X, close to 37.5% of the respondents show low levels of trust towards mobile gaming applications. Generation Y shows high levels of trust towards mobile gaming applications with nearly 58.6%. The statistical difference supports the hypothesis; there is a correlation between the security confidence level of generations and the usage of mobile gaming applications. The statistical analysis helps in realising the hypothesis and answering the research questions.

In the music industry, music applications have been adopted to help viewers and listeners to get access to music online. However, it is imperative to establish whether mobile music applications correlate with security confidence level among users. Mobile music applications associates with data leaking and malware that ebbed in music files (Yang & Jolly, 2015). Although the security concerns are not high, there is a correlation between security confidence level among both baby boomers and Generation Y, with baby boomers recording nearly 56.2% while Generation X and Generation Y recording 21.9%. In contrast, Generation X recorded 54.9% of respondents who showed trust in mobile music applications. Also, the statistical analysis shows a statistically significant difference between the level of security confidence in the usage of mobile applications and generations of the respondents. Therefore, most baby boomers do not trust mobile music applications whereas the majority of both generation X and Y have total trust towards music applications. The correlation between security confidence level and usage of mobile music applications persists among baby boomers and Generation Y. Also, although mobile music applications are thought to be safe, they are accompanied by cyber-attacks malpractices which invoke these levels of low-security confidence towards them.

Mobile social applications including Facebook, Twitter, Instagram, and E-mails have been associated with low-security confidence level among several users across baby boomers, Generation X, and Generation Y (Bolton et al., 2013). The research questions and hypothesis aimed at evaluating whether there is a correlation between security confidence level and the usage of mobile social apps among the three generations. The statistical analysis showed no statistical difference in the security level and the use of mobile social applications. The baby boomers depend on mobile social applications to obtain important information and connect with other experts and professionals. Surprising, nearly 44.1% of the baby boomer’s respondents do not have trust towards social media applications compared to Generation X (28.8%) and Generation Y (27.1%). Also, Generation Y shows a high level of trust towards social media application of nearly 65.45% compared to 15.4% of generation X and 19.2% of baby boomers. The results are consistency with the correlation established earlier between music and gaming applications. However, the low level of security confidence among baby boomers (44.1%), generation X (28.8%), and generation Y (27.1%), shows a correlation between the security confidence level and the usage of mobile social applications in all the generations. These associates with the risk of losing personal information to fraudsters on social media platforms.

In the sporting field, immense investment has been made to improve the sporting experience of both fun and betting philanthropists. However, the level of security confidence among mobile sports application is still questionable with most users raising questions over security matters. The research established no statistical difference between the security confidence level and the usage of mobile sports applications among baby boomers, Generation X, and generation Y. Therefore, there is no correlation between security confidence level and usage of mobile sports applications across the three generations. In baby boomers, the confidence level is nearly 50.0% meaning baby boomers trust the application because they probably use them for exercise purpose. These is supported by 55.6% of Generation y, who had total trust towards the sports app compared to both generation X(18.5%) and baby boomers(25.9%). Mobile sports applications, therefore, show a positive security confidence level amongst all the generations which answers the research questions and hypothesis. With the increase of sporting activities among women and young adults, the introduction of sporting application in a mobile phone, especially in the betting arena, has received much enthusiasm. However, there not being a correlation between the confidence level and the usage of mobile sports application, a lot of care should be taken by mobile application developers to enhance security levels. These will ensure cybercriminals do not take advantage of the innocent user through developing fake applications to steal money from them.

Conclusions

The use of mobile phone applications both in Android, iPhone, and Windows-based operating receives a different level of confidence among users based on security. It is therefore imperative to establish a different security confidence level in the usage of mobile application across banking, sports, gaming, health, social media, and retail and music fields. The research questions and hypothesis tailored to evaluate the security confidence level among baby boomers, generation X, and generation X. Among the 302 respondents utilised in the survey questionnaires, the social demographic based on gender with 69.21% being women and 30.13% were men with the rest identifying themselves as others. The ages were between 18- over 60 years which helped in getting the confidence level across all the purported generations. The validity and confidentiality of the research findings were ensured through a pilot test of the survey questionnaire and ensuring all the ethical consideration in sampling, methodology and statistical analysis are followed.

In a mobile banking application, there is no correlation between security confidence level and the usage of mobile banking applications across baby boomers, generation X, and generation Y. The lack of statistical difference in the relationship, shows others factors apart from security are responsible for the dismal performance of banking applications in the market. In a mobile retail application, there is also no correlation between security confidence level and the usage of mobile retail application among the three generations. The assertions also proof other factors could influence the low performance of the applications among mobile phone users. In mobile gaming applications, there is a correlation between the security confidence level and the usage of gaming applications. Therefore, security is among the major factors that determine the use and confidence level among mobile phones user. These are reproduced in mobile music application where there is a correlation between security confidence level and the use of music applications among all the three-generation but dismal in generation Y.

In mobile social media applications, there is a correlation between the security confidence level and the usage of social media application among the three generations. Security, therefore, remains a contributing factor in the use of social media applications among users. In mobile sports applications, however, there is no correlation between the security confidence level and the usage of the application among the three generations. Security confidence level across all the applicable fields in application usage by users is not a major contributing factor. Security remains an intriguing factor in the use of the mobile application, but other factors including user interface, graphics, and client-side injection should be considered.

Major Question Related to Purpose

The purpose of the research is to establish the correlation between security confidence level and the usage of different mobile application among baby boomers, generation X, and generation Y. The major question that arose was whether the level of security confidence affects the acceptability and usage of the mobile application. For a fact, different generation in the tenants of baby boomer, generation X, and generation Y, have different usage and need for a mobile application which needs to be established to help developers and marketers to know which market to target most during applications development (Boyd & Ellison, 2007). The perceived notion of security being the major factor contributing to the usage of the mobile application has surfaced the acceptability and usage of applications, especially in the banking sector. However, the research has surfaced a need to establish market research to identify major shortcomings of low usage mobile applications other than confident security level,

Most of the mobile applications including banking, retail, sports and social media show no correlation between security confidence level and their usage. Therefore, the implications and effects of security confidence level are not much fetched as previously purported. The marketers of mobile application, get a profound direction of knowing security confidence level does not overly affect the level of mobile applications usage, but the question that arises is what other factors (Bristow, 2016). The research establishing and answering the major hypothesis and research question towards the relationship between security confidence level and mobile applications in different generations serves the purpose in assisting mobile application developers in knowing where to focus more. Also, the mobile applications affected with a low level of security confidence, including gaming and social media applications especially among baby boomers, provides a conceptual framework of establishing the best models of inversing security in the applications.

Implications for Practice

Across all the mobile applications areas including banking, retail, gaming, sports, music, and social media, security remains an important consideration among users. Mobile applications developers, users and application marketers need to know how security confidence level related to the use of the different application in these fields. The research establishes no correlation between security confidence level and usage of the mobile application in banking, sports and retail. However, a correlation is noted in gaming, social media, and sports mobile applications (Clark, 2017). These provide the best facets for both marketers and application developers in understanding user preferences when it comes to the use of the mobile application. Also, after knowing many users use android applications, developers and marketers need to increase security and user preferences to ensure an increase in their trust towards the mobile applications.

The established relationship between security confidence level and usage of this mobile application changes the wave of business entrepreneurs in establishing other factors that can contribute to the dismal performance of mobile applications in the market. These findings bridge the research niche that existed in evaluating how security confidence level influences the usability of mobility applications in baby boomers, generation X, and generation Y. The security confidence level related to usage of the mobile application also provides users with information on which application has a low level of confidence and trust among users in all the three generations (Dhanapal et al., 2015). These allow users to be careful when using such applications to ensure privacy and confidentiality of their information is high. Marketers and mobile application developers also get an idea on the major mobile applications that users prefer and strategise how they can increase booth security and confidence level. Furthermore, other factors can be responsible for the low usability of mobile phones applications, and mobile application developers should focus on them, including user graphics and aesthetics.

Recommendations for Research

The research provides the transferability of the major findings to future researches on mobile phone application usability. The validity and credibility of the results achieved are beneficial to market researches wanting to know the relationship between security confidence level of different mobile application among baby boomers, generation X, and generation Y. The findings of no correlation between the two variables, in banking, health, retail and sports applications, calls for researches of determining other factors that contribute to the low usability of the applications among the generations. However, the correlation between security confidence level and usage of the mobile application in social media, music and gaming, calls for researches of improved models of increasing security measures in these mobile phone applications.

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Less than 1 hour Mobile Banking Apps Mobile Health Apps Mobile Retail Apps Mobile Gaming Apps Mobile Sport Apps Mobile Music Apps Mobile Social Media Apps 0.69640000000000002 0.795400000000000 11 0.60729999999999995 0.5776 0.84160000000000001 0.44550000000000001 0.3795 1 Hour Mobile Banking Apps Mobile Health Apps Mobile Retail Apps Mobile Gaming Apps Mobile Sport Apps Mobile Music Apps Mobile Social Media Apps 4.9500000000000002E-2 0.1188 0.23100000000000001 0.1419 8.2500000000000004E-2 0.20130000000000001 0.21779999999999999 2 Hours Mobile Banking Apps Mobile Health Apps Mobile Retail Apps Mobile Gaming Apps Mobile Sport Apps Mobile Music Apps Mobile Social Media Apps 4.6199999999999998E-2 3.9600000000000003E-2 5.9400000000000001E-2 0.1221 3.9600000000000003E-2 0.1386 0.1386 3 Hours Mobile Banking Apps Mobile Health Apps Mobile Retail Apps Mobile Gaming Apps Mobile Sport Apps Mobile Music Apps Mobile Social Media Apps 7.9199999999999993E-2 1.6500000000000001E-2 3.6299999999999999E-2 7.9199999999999993E-2 6.6E-3 0.11219999999999999 0.1089 4 Hours Mobile Banking Apps Mobile Health Apps Mobile Retail Apps Mobile Gaming Apps Mobile Sport Apps Mobile Music Apps Mobile Social Media Apps 3.3000000000000002E-2 9.8999999999999991E-3 3.6299999999999999E-2 3.3000000000000002E-2 9.8999999999999991E-3 3.6299999999999999E-2 5.6099999999999997E-2 5 Hours Mobile Banking Apps Mobile Health Apps Mobile Retail Apps Mobile Gaming Apps Mobile Sport Apps Mobile Music Apps Mobile Social Media Apps 3.6299999999999999E-2 9.8999999999999991E-3 1.32E-2 1.32E-2 9.8999999999999991E-3 2.3099999999999999E-2 3.9600000000000003E-2 More than 5 hours Mobile Banking Apps Mobile Health Apps Mobile Retail Apps Mobile Gaming Apps Mobile Sport Apps Mobile Music Apps Mobile Social Media Apps 5.9400000000000001E-2 9.8999999999999991E-3 1.6500000000000001E-2 3.3000000000000002E-2 9.8999999999999991E-3 4.2900000000000001E-2 5.9400000000000001E-2

Percentage respondents

I don’t trust at all Mobile Banking Apps Mobile Health Apps Mobile Retail Apps Mobile Gaming Apps Mobile Sport Apps Mobile Music Apps Mobile Social Media Apps 0.20130000000000001 0.1462 0.12620000000000001 0.1794 0.1338 0.106 0.19600000000000001 I just don’t trust Mobile Banking Apps Mobile Health Apps Mobile Retail Apps Mobile Gaming Apps Mobile Sport Apps Mobile Music Apps Mobile Social Media Apps 0.1188 0.10630000000000001 0.12620000000000001 0.10630000000000001 0.107 6.9500000000000006E-2 0.14949999999999999 Neutral Mobile Banking Apps Mobile Health Apps Mobile Retail Apps Mobile Gaming Apps Mobile Sport Apps Mobile Music Apps Mobile Social Media Apps 0.2772 0.37869999999999998 0.3256 0.3322 0.42809999999999998 0.31130000000000002 0.33550000000000002 Trust Mobile Banking Apps Mobile Health Apps Mobile Retail Apps Mobile Gaming Apps Mobile Sport Apps Mobile Music Apps Mobile Social Media Apps 0.31019999999999998 0.29239999999999999 0.33889999999999998 0.28570000000000001 0.24079999999999999 0.34439999999999998 0.2326 I totally Trust Mobile Banking Apps Mobile Health Apps Mobile Retail Apps Mobile Gaming Apps Mobile Sport Apps Mobile Music Apps Mobile Social Media Apps 9.2399999999999996E-2 7.6399999999999996E-2 8.3100000000000007E-2 9.6300000000000011E-2 9.0299999999999991E-2 0.16889999999999999 8.6400000000000005E-2

Mobile Apps

Percentile