Age Effect on M-Commerce Retail Customers Dissertation

Age Effect on M-Commerce Retail Customers - Dissertation Example The consumers are divided into two age groups: 18-35 and 36 and older. Using contingency theory and simple regression analysis the results are analysed for statistical significance of age. The results and implications for further research are discussed. Table of Contents Abstract 4 List of Abbreviations 6 Definition of Terms 7 Chapter One: Introduction to the Study 8 1.1.Background 8 1.2.Statement of the Problem 10 1.3.Purpose of the Study 13 1.4.Aim and Objectives 14 1.4.1 Aim 14 1.4.2. Objectives 14 1.5.Research Questions 15 1.6.Hypotheses 15 1.7.Research Methodology 16 1.7.1.Research Instruments 17 1.7.2.Limitations and Delimitations 18 1.7.3.Assumptions 19 1.9.Organization of the Study 21 1.10.Chapter Summary 22 Chapter Two: Literature Review 23 2.1. Introduction 23 2.2. M-Commerce: Mobile Networks, Services and Applications 23 2.3. M-Commerce and the Retail Sector 29 2.3.1. The Retail Sector 29 2.3.2. The Retail Sector and M-Commerce 31 2.4. M-Commerce and Consumer Trends Worldw ide 37 2.5. Consumer Adaptability, Acceptance and Attitudes Toward M-Commerce 42 2.5.1. Adaptability 42 2.5.2. Acceptance 50 2.5.3. Attitudes 59 2.6. Themes in the Literature 62 2.6.1. History, Development and Trends in M-Commerce Use Globally 62 2.6.1.1. Retail 62 2.6.1.2. Consumer Trends 65 2.6.2. M-Commerce and Consumer Adaptability, Acceptance and Attitudes: Previous Studies 66 2.6.2.1. Adaptability 66 2.6.2.2. Acceptance 69 2.6.2.3. Attitudes 71 2.7. Summary 71 Chapter Three: Research Methodology 73 3.1. Introduction 73 3.2. Contingency Theory 73 3.3. Research Philosophy 75 3.4. Research Methods 77 3.4.1. Data Collection 79 3.4.2. Data Analysis 85 3.5. Trustworthiness 88 3.6. Ethical Considerations 90 3.7. Summary 92 Chapter Four: Results and Analysis 93 4.1. Introduction 93 4.2. Results 93 4.3. Analysis 104 1.11.Aim and Objectives 133 1.4.1 Aim 133 1.4.2. Objectives 133 1.12.Research Questions 134 1.13.Hypotheses 135 1.14.Statement of the Problem 138 1.15.Purpose of the Study 141 1.16.Aim and Objectives 141 1.4.1 Aim 141 1.4.2. Objectives 142 List of Abbreviations B2C: Business to Consumer IT: Information Technologies LAN: Local Area Network PB: Perceived Benefits PU: Perceived Usefulness PEOU: Perceived Ease of Use TAM: Technology Acceptance Model TPB: Theory of Planned Behavior TRA: Theory of Reasoned Action WAP: Wireless Application Protocol Definition of Terms E-commerce: Selling and purchasing goods and services via electronic platforms. Interoperability: Diverse systems working together for one common goal. M-Commerce: Wireless of mobile transaction involving transfers of funds. M-Payments: Method for making payments via mobile or wireless devices. Chapter One: Introduction to the Study 1.1. Background A number of different mobile wireless devices and services are now available and range from mobile telephone networks to wireless local area networks (LANs). These kinds of devices and services are encapsulated by mobile commerce, more broadly known as m-commerce (Liu & Chen, 2009). M-commerce is a branch of e-commerce and as such is defined as any monetary or economic transaction performed by use of a mobile wireless device or by â€Å"wireless technology†, by at least one of the parties to the transaction (Mohpatra, 2013, p. 81). Bidgoli (2011) simplifies the definition of m-commerce by defining it as a â€Å"new market are created by web-enabled mobile phone services†