ABSTRACT
This research work evaluated customer’s
perceived risk and online bookings of hotels in Umuahia metropolis. It was a
descriptive survey research in which 4 specific objectives, 4 research
questions and 4 research hypotheses guided the study. The researchers
purposively use 18 hotels in Umuahia metropolis as its case study and 384 as
its sample size. The research instrument used for data collection was a
questionnaire on a 5 point rating scale, which was subjected to a reliability
test that produce a reliability coefficient of 0.853, descriptive and
inferential statistics on SPSS version 20.0 was used to analyze the data
generated. Findings revealed that there is no significant relationship between
financial risk and online booing of hotels in Umuahia metropolis and there is a
significant relationship between financial risk and online booking of hotels in
Umuahia metropolis. Secondly, there is no significant relationship between
security risk and online booking of hotels in Umuahia metropolis and there is a
significant relationship between security risk and online booking of hotels in
Umuahia metropolis. Thirdly, there is no significant relationship between
social risk and online booking of hotels in Umuahia metropolis and there is a
relationship between social risk and online booking of hotels in Umuahia
metropolis. Following the positive and insignificant relationship between
online booking as a dimension of customer’s perceived risk, the study
recommended that in booking of hotels online, customers should look out for
secured and registered sites to avoid loss of money and other financial details
and hotel owners introducing online platforms should also make sure that their
sites are secured from intruders in other to protect their customers.
TABLE OF CONTENTS
Title page i
Certification ii
Approval page iii
Dedication iv
Acknowledgments
v
Table of
contents vi
List of
figures ix
List of Tables
x
Abstract xi
CHAPTER ONE: INTRODUCTION
1.1 Background
of the Study 1
1.2. Statement
of the Problem 3
1.3 Objective
of the Study 5
1.4 Research
Questions 5
1.5 Research
Hypotheses 5
1.6 The
Significance of the Study 6
1.7 Scope of
the Study 7
CHAPTER TWO
2.0
Introduction 8
2.1
Conceptual Framework 8
2.1.1
Concept of Online Booking 8
2.1.2
Benefits of an Online Booking System 10
2.1.3
Challenges of Online Booking 13
2.1.4
Risk 15
2.1.5
The concept of perceived risk 16
2.1.6 Dimensions of perceived risk
19
2.1.7 Types of perceived risk
19
2.1.8
Factors that Influence Consumer Risk
Perception 21
2.2 Theoretical Review 24
2.2.1
Theory of Perceived Risk 24
2.2.2
Technology Acceptance Model Technology
Acceptance Model 26
2.3
Review of Empirical Studies 31
2.4 Summary of Literature Review 37
CHAPTER THREE
3.1 Introduction 39
3.2 Research Design 39
3.3 Sources of Data
39
3.4 Area of the Study 39
3.5 The Population of the Study 40
3.6 Sample Size Determination
40
3.7 Data Collection Instrument 41
3.8 Validity
of the Research Instrument 41
3.9 Reliability
of the Instrument 41
3.10 Method of Data Analysis
42
CHAPTER FOUR: RESULTS AND DISCUSSION
4.1
Introduction 43
4.2
Presentation and Interpretation of Data 43
4.2.1
Analysis of Study’s Survey Response Rate 43
4.2.2
Bio Data of the Respondents
44
4.2.3
Analysis of Quantitative Data Relating to Financial Risks 45
4.3
Testing of Hypotheses
48
4.4
Discussions of Findings and implications
54
CHAPTER FIVE: SUMMARY CONCLUSION AND RECOMMENDATIONS
5.1
Introduction 55
5.2
Summary of Findings 55
5.3
Conclusion
55
5.4
Recommendation
56
5.5
Contribution to Knowledge
56
5.6
Suggestions for Further Studies
57
REFERENCES
LIST
OF FIGURES
Fig
2.1. A conceptual framework for
perceived risk 17
LIST
OF TABLES
Table
4.1: Questionnaire Distribution/ Return
Response Rate 43
Table
4.2: Descriptive Statistics of the
Respondents 44
Table 4.3: Responses on the Influence of Financial Risk
on Online Booking of Hotels
in
Umuahia Metropolis 46
Table 4.4: Responses on the Influence of Security Risk
on Online Bookings of Hotels
in
Umuahia Metropolis 47
Table 4.5: Responses on Effect of Wasted time Risk on
Online Bookings of Hotels in
Umuahia
Metropolis 48
Table 4.6: Responses on Effect of Social Risk and Online
Booking of Hotels in
Umuahia
Metropolis 49
Table 4.7: Correlations Results between Financial Risk
and Online Booking of Hotels
in
Umuahia Metropolis 50
Table 4.8: Correlations Results between Security Risk
and Online Booking of Hotels
in Umuahia
Metropolis 51
Table 4.9: Correlations Results between Wasted Time Risk
and Online Booking of
Hotels
in Umuahia Metropolis
52
Table 4.10: Correlation Results between Social Risk and
Online Booking of Hotels in
Umuahia
Metropolis
53
ABIGAIL, C (2023). Customers’ Perceived Risks And Online Bookings Of Hotels In Umuahia Metropolis, Abia State. Repository.mouau.edu.ng: Retrieved Nov 21, 2024, from https://repository.mouau.edu.ng/work/view/customers-perceived-risks-and-online-bookings-of-hotels-in-umuahia-metropolis-abia-state-7-2
CHINONSO, ABIGAIL. "Customers’ Perceived Risks And Online Bookings Of Hotels In Umuahia Metropolis, Abia State" Repository.mouau.edu.ng. Repository.mouau.edu.ng, 12 Sep. 2023, https://repository.mouau.edu.ng/work/view/customers-perceived-risks-and-online-bookings-of-hotels-in-umuahia-metropolis-abia-state-7-2. Accessed 21 Nov. 2024.
CHINONSO, ABIGAIL. "Customers’ Perceived Risks And Online Bookings Of Hotels In Umuahia Metropolis, Abia State". Repository.mouau.edu.ng, Repository.mouau.edu.ng, 12 Sep. 2023. Web. 21 Nov. 2024. < https://repository.mouau.edu.ng/work/view/customers-perceived-risks-and-online-bookings-of-hotels-in-umuahia-metropolis-abia-state-7-2 >.
CHINONSO, ABIGAIL. "Customers’ Perceived Risks And Online Bookings Of Hotels In Umuahia Metropolis, Abia State" Repository.mouau.edu.ng (2023). Accessed 21 Nov. 2024. https://repository.mouau.edu.ng/work/view/customers-perceived-risks-and-online-bookings-of-hotels-in-umuahia-metropolis-abia-state-7-2