This thesis examines challenges and opportunities in implementing smart logistics in Thailand, targeting major logistics and manufacturing enterprises adhering to industry norms. The research encompasses four primary goals: (1) identifying barriers obstructing smart logistics adoption, (2) exploring solutions to overcome these barriers, (3) analyzing technology trends within logistics and manufacturing, and (4) revealing potential future constraints and prospects for smart logistics development. Employing Simple Linear Regression and Hayes Process Macro (model1), the study's hypotheses deliver mixed outcomes. Organizational barriers significantly affect implementation challenges, whereas managerial and financial hurdles lack significant impact. Technical and technological barriers exert considerable influence on implementation issues. Political factors significantly shape future implementation possibilities, contrasting with customer behavior's limited role in the relationship between managerial barriers and constraints. The study underscores basic technology implementation's vital role in the challenges-opportunities dynamic, showing its potential to pave the way for future progress. Nevertheless, advanced technology implementation's influence on these dynamics lacks empirical support. Furthermore, the study illuminates Government Resource Allocation's pivotal role in logistics, manufacturing, and supply chain industries. Through strategic insights, the government can catalyze smart logistics technology adoption across these sectors. In conclusion, this thesis navigates the complex realm of smart logistics implementation in Thailand, uncovering barriers and pathways, guiding policymakers and industry leaders. Amid evolving technology trends, businesses discern trajectories to foster smart logistics growth, with government resource allocation orchestrating transformation across these sectors.
Keywords: Smart Logistics, Thailand, Simple Linear Regression, Hayes Process Macro, Barriers, Opportunities, Challenges, Technology Implementation, Logistics, Manufacturing, Supply Chain,

LIST OF TABLES VIII
LIST OF FIGURES IX
CHAPTER 1: INTRODUCTION 1
1.1 RESEARCH BACKGROUND 1
1.2 RESEARCH GAPS 7
1.3 RESEARCH PURPOSE 9
1.4 RESEARCH SCOPE 11
1.5 RESEARCH ORGANIZATION 12
CHAPTER 2: LITERATURE REVIEW 13
2.1 LOGISTICS TO SMART LOGISTICS 13
2.2 SMART LOGISTICS 14
2.3 ADVANTAGES AND DRAWBACKS OF SMART LOGISTICS IMPLEMENTATION 15
2.4 THAILAND’S LOGISTICS INDUSTRY AND TECHNOLOGY INFRASTRUCTURE ISSUE 16
2.5 SMART LOGISTICS AND TECHNOLOGICAL TRENDS 17
2.5.1 Basic Technologies (BT) 18
2.5.1.1 Web Technology 19
2.5.1.2 Mobile Application 20
2.5.1.3 Cloud Computing 20
2.5.1.4 Radio Frequency Identification (RFID) 21
2.5.1.5 GPS Tracking Technology 22
2.5.2 Advanced Technologies (AT) 23
2.5.2.1 Big Data 24
2.5.2.2 Robotics and Automation 24
2.5.2.3 Internet of Things (IoT) 25
2.5.2.4 Artificial Intelligence (AI) 26
2.5.2.5 Blockchain 27
2.5.2.6 Augmented Reality (AR) 28
2.5.2.7 Virtual Reality (VR) 28
2.6 BARRIERS TO IMPLEMENT NEW TECHNOLOGIES 30
2.6.1 Managerial Barriers 30
2.6.2 Organizational Barriers 31
2.6.3 Technical and Technological Barriers 31
2.6.4 Financial Barriers 33
2.6.5 Customer Behaviors 34
2.6.6 Political Factors 36
2.7 RESTRICTIONS AND CHALLENGES OF IMPLEMENTING SMART LOGISTICS 37
2.8 OPPORTUNITIES FOR IMPLEMENTING SMART LOGISTICS IN THE FUTURE 38
2.9 SIMPLE LINEAR REGRESSION (SLR) 39
2.10 HAYES PROCESS MACRO 40
2.11 PURPOSIVE SAMPLING 41
2.12 POWER ANALYSIS 41
2.13 G POWER SOFTWARE 42
CHAPTER 3: METHODOLOGY 43
3.1 RESEARCH FRAMEWORK 43
3.2 HYPOTHESES DEVELOPMENT 43
3.2.1 The Effect of Organizational Barriers on Restrictions and Challenges of Implementing Smart Logistics 43
3.2.2 The Effect of Managerial Barriers on Restrictions and Challenges of Implementing Smart Logistics 45
3.2.3 The Effect of Financial Barriers on Restrictions and Challenges of Implementing Smart Logistics 47
3.2.4 The Effect of Technical and Technological Barriers on Restrictions and Challenges of Implementing Smart Logistics 49
3.2.5 Effect of Restrictions and Challenges of Implementing Smart Logistics on Opportunities for Implementing Smart Logistics in the Future 51
3.2.6 Effect of Political Factors on Opportunities for Implementing Smart Logistics in the Future 53
3.2.7 Customer Behaviors as Moderator 55
3.2.8 Political Factors as Moderator 60
3.2.9 Basic Technology Implementation as a Moderator 63
3.2.10 Advanced Technology Implementation as a Moderator 65
3.3 RESEARCH METHODOLOGY 69
3.4 QUESTIONNAIRE DESIGN 71
3.5 DATA COLLECTION 74
3.5.1 Research Instrument 75
3.5.2 Specific Sampling and Sample Size 75
3.5.3 Potential Questionnaire Respondents 77
3.5.4 Duration of Research Data Collection 78
3.6 ETHICAL CONSIDERATIONS 78
3.7 PILOT STUDY RESULT 78
CHAPTER 4: RESULTS 84
4.1 SAMPLE STRUCTURE 84
4.2 DESCRIPTIVE STATISTICS 85
4.3 RELIABILITY ANALYSIS 94
4.4 HYPOTHESIS ANALYSIS 101
4.4.1 Hypothesis Direct Effect 101
4.4.2 Moderating Effect Hypothesis Result 104
4.5 HYPOTHESIS ANALYSIS OF EACH INDUSTRY 109
4.5.1 Hypothesis Direct Effect of Each Industry 109
4.5.1.1 Hypothesis Direct Effect of Logistics Industry 109
4.5.1.2 Hypothesis Direct Effect of Manufacturing Industry 110
4.5.1.3 Hypothesis Direct Effect of Supply Chain Industry 110
4.5.2 Moderating Effect Hypothesis Result of Each Industry 111
4.5.2.1 Moderating Effect Hypothesis Result of Logistics Industry 111
4.5.2.2 Moderating Effect Hypothesis Result of Manufacturing Industry 112
4.5.2.3 Moderating Effect Hypothesis Result of Supply Chain Industry 113
4.6 THE OVERALL OF HYPOTHESIS RESULTS 114
4.7 TECHNOLOGY TREND ANALYSIS 115
4.7.1 Basic Technology Trend 115
4.7.2 Advanced Technology Trend 118
CHAPTER 5: DISCUSSION AND SUGGESTION 122
5.1 GENERAL DISCUSSION 122
5.1.1 General Discussion for All Industries 122
5.1.2 General Discussion for Specific Industry and Government Resource Allocation 126
5.1.2.1 Logistics Industry 126
5.1.2.2 Manufacturing Industry 128
5.1.2.3 Supply Chain Industry 130
5.2 MANAGERIAL IMPLICATIONS 132
5.2.1 Based on The Findings from Supported Hypotheses of All Industries 132
5.2.2 Based on The Findings from Not Supported Hypotheses of All Industries 136
5.2.4 Recommendations for Government Resource Allocation 137
5.3 LIMITATION AND FUTURE RESEARCH 140
REFERENCES 142
APPENDIX A 158
APPENDIX B 162

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