Office and Administrative support

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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%

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