Factors Influencing Customer Adoption Of Mobile Banking -Books Download

FACTORS INFLUENCING CUSTOMER ADOPTION OF MOBILE BANKING
15 Feb 2020 | 10 views | 0 downloads | 83 Pages | 820.76 KB

Share Pdf : Factors Influencing Customer Adoption Of Mobile Banking

Download and Preview : Factors Influencing Customer Adoption Of Mobile Banking


Report CopyRight/DMCA Form For : Factors Influencing Customer Adoption Of Mobile Banking



Transcription

CERTIFICATION, The undersigned certifies that he has read and hereby recommends for acceptance by. the Open University of Tanzania a dissertation entitled Factors Influencing. Customer Adoption of Mobile Banking Services in Tanzania in partial fulfillment. of the requirements for the degree of Master of Business Administration. Dr Tumaini Katunzi,Supervisor, No part of this dissertation may be reproduced stored in any retrieval system or. transmitted in any form by any means electronic mechanical photocopying. recording or otherwise without prior written permission of the author or The Open. University of Tanzania,DECLARATION, I Grace Makongoro do hereby declare that this dissertation is my original work It. has never been presented to any other University or Institution for similar or any. other award Where other people s works have been used references have been. DEDICATION, This work is dedicated to my parents Mr and Mrs Makongoro. The continuous expansion of technological innovations especially in the banking. sector have stirred competition which has changed the way businesses operate. resulting in the introduction of mobile banking in Tanzania This study was. conducted in order to analyze the factors that influence consumer adoption of mobile. banking in Tanzania A questionnaire was developed and then distributed to. customers of major mobile banking service providers in Tanzania Using primary. data collection method from the 150 questionnaires that were distributed 105. questionnaires was successfully returned but only 95 were useable for analysis. yielding a 62 7 response rate After gathering and entering the data in SPSS the. results were analyzed using multiple regression analysis Each variable was. measured using 5 point Likert scale The results suggested that perceived risk. relative advantage and convenience are the determinant factors in influencing. consumers adoption decisions It s been recommended that banks in Tanzania. invest massively in mobile banking and other information technology innovations. in order to further promote efficient service delivery and increase adoption of. mobile banking services, Key words Mobile banking multiple regressions Perceived Risk Trust.
Convenience Relative Advantage,ACKNOWLEDGEMENT, I would like to take the opportunity to acknowledge the support and help of all who. have assisted me in the research and made this Dissertation a dream come true. Without their contribution and advice I would have never been able to progress with. I would also like to thank all those people who made this an unforgettable experience. for me Foremost I would like to express my sincere gratitude to my supervisor Dr. Tumaini Katunzi for the continuous support throughout the Research for his. patience motivation enthusiasm and immense knowledge. Last but not least Special appreciation to all the respondents for their precious. time and patience in helping me to complete the questionnaire It would have been. impossible to complete my research without their contribution and help. TABLE OF CONTENTS,CERTIFICATION ii,COPYRIGHT iii,DECLARATION iv. DEDICATION v,ABSTRACT vi,ACKNOWLEDGEMENT vii,LIST OF TABLES xiii. LIST OF FIGURES xiv,LIST OF ABBREVIATIONS AND ACRONYMS xv. CHAPTER ONE 1,1 0 INTRODUCTION 1,1 1 Background 1,1 2 Statement of the Problem 2.
1 3 Objectives 3,1 3 1 Main Objective 3,1 3 2 Specific Objectives 3. 1 4 Research Hypothesis 3,1 5 Justification 3,1 6 Significance of the Study 4. CHAPTER TWO 5,2 0 LITERATURE REVIEW 5,2 1 Conceptual Definitions 5. 2 1 1 Adoption 5,2 1 2 Customer 5,2 1 3 Mobile Banking 5. 2 2 Theoretical Review 6,2 2 1 Trust and Perceived Risk 6.
2 2 2 Relative Advantage and Trust 7,2 2 3 Convenience and Trust 7. 2 2 4 Convenience and Relative Advantage 8,2 3 Empirical Analysis 8. 2 4 Review of Relevant Theories 12,2 4 1 Technology Acceptance Model 12. 2 4 2 Theory of Reasoned Actions 14,2 4 3 Theory of Planned Behavior 16. 2 4 4 Innovation Diffusion Theory 18,2 4 5 Decomposed Theory of Planned Behavior 18.
2 4 6 Unified Theory of Acceptance and Use of Technology 19. 2 5 Conceptual Framework 21,CHAPTER THREE 23,3 0 METHODOLOGY 23. 3 1 Research Design 23,3 2 Research Area and Population 23. 3 2 1 Population 23,3 3 Sampling 24,3 3 1 Sampling Size 24. 3 3 2 Sampling Technique 24,3 4 Data Collection Technique 25. 3 4 1 Primary Data 25,3 4 2 Secondary Data 25,3 5 Data Analysis 25.
3 6 Reliability and Viability 26,3 6 1 Reliability 26. 3 6 2 Validity 27, 3 7 Instrumentation Development and Measurement Scales 27. 3 7 1 Measures of Perceived Risk 28,3 7 2 Measures of Relative Advantage 29. 3 7 2 Measures of Trust 29,3 7 3 Measures of Convenience 30. 3 7 5 Data Coding Table 30,3 7 4 Cronbach s Alpha Reliability Analysis 31.
CHAPTER FOUR 34, 4 0 DATA ANALYSIS AND DISCUSSION OF THE FINDINGS 34. 4 1 Demographic Characteristics of the Participants 34. 4 1 1 Respondents Gender 34,4 1 2 Respondents Age 35. 4 1 3 Respondents Education 35, 4 1 4 Respondents Subscription to Mobile Banking Services 36. 4 1 5 Respondents that Actively Use Mobile Banking Services 37. 4 1 6 Respondents Years of Use Of Service 38, 4 1 7 Respondents use for Mobile Banking Services 38. 4 1 8 Respondents frequency in using m banking services 39. 4 2 Multiple regressions analysis 40,4 2 1 Perceived risk 41.
4 2 2 Relative advantage 42,4 2 3 Trust 44,4 2 4 Convenience 45. 4 2 5 Relationship between Variables 46,CHAPTER FIVE 49. 5 0 SUMMARY CONCLUSION AND RECOMMENDATIONS 49,5 1 Summary 49. 5 2 Conclusion 52,5 3 Recommendations 53,5 4 Limitations 54. 5 5 Areas of Further Research 55,REFERENCES 57,APPENDICES 66.
LIST OF TABLES,Table 3 1 Scale of Perceived Risk 28. Table 3 2 Scale of Relative Advantage 29,Table 3 3 Scale of Trust 29. Table 3 4 Scale of Convenience 30,Table 3 5 Measurements for all Variables 31. Table 3 6 Cronbach s Alpha Coefficients for The Pilot Test 32. Table 4 1 Perceived risk coefficients 41,Table 4 2 Relative advantage Coefficients 43. Table 4 3 Trust Coefficients 44,Table 4 4 Convenience coefficients 45.
Table 4 5 Model summary 46,Table 4 6 Anova 47,Table 4 7 Coefficients 47. LIST OF FIGURES,Figure 2 1 Technology Acceptance Model 13. Figure 2 2 Theory of Reasoned Action 16,Figure 2 3 The Theory of Planned Behavior 16. Figure 2 4 Decomposed theory of planned behavior 16. Figure 2 5 Unified theory of acceptance and use of technology 19. Figure 2 6 Conceptual Frameworks 21,Figure 4 1 Respondents Gender 33. Figure 4 2 Respondents Age 34,Figure 4 3 Respondents Level of Education 35.
Figure 4 4 Respondents Subscription 36, Figure 4 5 Respondents Who Are Users of M Banking 37. Figure 4 6 Respondents Years of Use 38,Figure 4 7 Respondents Uses for M Banking 38. Figure 4 8 Respondents Number of Times of Use 40,LIST OF ABBREVIATIONS AND ACRONYMS. PC Perceived credibility,PEOU Perceived ease of use. SEM Structure equation modeling,ETAM Extended technology acceptance model.
CRDB Community and rural development bank,SMS Short message service. PDA Personal digital assistant,TAM Technology acceptance model. UTAUT Unified theory of acceptance and use of technology. PU Perceived usefulness,MB Mobile banking,TPB Theory of planned behavior. TRA Theory of reasoned action,CTPB Combined theory of planned behavior. IDT Innovation diffusion theory,PSE Perceived self efficacy.
IDT Information diffusion theory,BI Behavior intention. PBC Perceived behavior control,ATB Attitude toward performing behavior. SN Subjective norm,SPSS Statistical package for the social science.


Related Books

Version 11.0.0 IBM Cognos Dynamic Cubes

Version 11 0 0 IBM Cognos Dynamic Cubes

user's permissions. Professional reporting Using the Reporting tool, report authors create, edit, and distribute a wide range of professional reports. Ad hoc querying and self-service reporting - Query Studio Using Query Studio, users with little or no training can quickly design, create and save reports to meet

Panel Data Analysis with Stata Part 1 - uni-muenchen.de

Panel Data Analysis with Stata Part 1 uni muenchen de

Munich Personal RePEc Archive Panel Data Analysis with Stata Part 1 Fixed E?ects and Random E?ects Models Pillai N., Vijayamohanan 2016 Online at https://mpra.ub.uni-muenchen.de/76869/

REGULATIONS & SYLLABUS OF M.Tech. in - gitam.edu

REGULATIONS amp SYLLABUS OF M Tech in gitam edu

GITAM UNIVERSITY (Declared as Deemed to be University U/S 3 of UGC Act, 1956) REGULATIONS & SYLLABUS . OF . M.Tech. in CAD/CAM (w.e.f 2017 -18 admitted batch)

ME 3011 Kinematics & Dynamics of Machines and Vibrational ...

ME 3011 Kinematics amp Dynamics of Machines and Vibrational

ME 3011 Kinematics & Dynamics of Machines and Vibrational Modeling Learning Outcomes Dr. Bob Williams The objectives of this course are to cover the kinematics and dynamics of planar single degree-of-freedom mechanisms. After this course, the student should have general mathematical and computer skills

rnr66 coast 4/06/07 14:39 Page 1

rnr66 coast 4 06 07 14 39 Page 1

rnr66_coast 4/06/07 14:39 Page 1. F or centuries, ... high society arrived during the ... Sidney Bechet, Louis Armstrong, Ella Fitzger-

Flownet Nuclear Architecture, Implementation and ...

Flownet Nuclear Architecture Implementation and

Flownet Nuclear Architecture, Implementation and Verification & Validation ... Potchefstroom University for CHE ... object-oriented design onto a relational database was

NO. 66 OF 1995: LABOUR RELATIONS ACT, 1995.

NO 66 OF 1995 LABOUR RELATIONS ACT 1995

OFFICE OF THE PRESIDENT No. 1877. 13 December 1995 NO. 66 OF 1995: LABOUR RELATIONS ACT, 1995. It is hereby notified that the President has assented to the following Act which is

RESEARCH ON INDICATORS OF FORCED LABOR in the Supply Chain ...

RESEARCH ON INDICATORS OF FORCED LABOR in the Supply Chain

RESEARCH ON INDICATORS OF FORCED LABOR in the Supply Chain of Coffee in Guatemala Funding for this report was provided by the United States Department of Labor under grant number IL177760875K. Points of view or opinions in this report do not necessarily reflect the views or policies of the United States Department of Labor, nor does the mention of trade names, commercial products, or ...

SI LA Edu Kit 62-c4

SI LA Edu Kit 62 c4

included Sidney Bechet on soprano saxophone. ... 1955: Performs in Sweden, the Netherlands, ... Appears in the film High Society with Bing Crosby and Grace Kelly.

Databases - University of Windsor

Databases University of Windsor

In a relational database, ... such as keeping track of appointments or managing your che cking account To use one of these ... access to relational databases is most ...