This study explores the effect of Internet of Things (IoT) on supply chain integration and performance in the automotive industry of Germany. The dataset comprises a quantitative survey and a sample size of 50 employees in the automotive industry of Germany. The IoT is a next generation of Internet connected embedded ICT systems in a digital environment to seamlessly integrate supply chain and logistics processes. Integrating emerging IoT into the current ICT systems can be unique because of its intelligence, autonomous and pervasive applications for better organizational performance.
The obtained data from a structured questionnaire, which was built on a 5-point Likert scale, was analyzed by the use of Linear Regression. The analysis of the study was enacted by using STATA (15.0) statistical software to excerpt the results. The proposed model was blueprinted based on relationship marketing theory, resource-based view theory, contingency theory, and related literature. Before estimating the main results, preliminary analysis such as descriptive statistics, correlation analysis, validity and reliability of the instruments, multi-collinearity test and model fitness were done to provide initial justification and appropriateness of the instruments and the methods chosen to test the proposed relationships guiding the study.
CONTENTS
ABSTRACT
LIST OF TABLES
CHAPTER ONE
INTRODUCTION
1.1 Background of the Study
1.2 Problem Statement
1.3 Research Objectives
1.4 Research Questions
1.5 Significance of the Study
1.6 Brief Methodology
1.7 Structure of the Study
CHAPTER TWO
LITERATURE REVIEW
2.0 Introduction
2.1 The Internet of Things (IoT)
2.2 Supply Chain Integration (SCI)
2.3 Performance
2.4 The relationship between Internet of Thing and supply chain integration
2.5 The relationship between Internet of Thing and performance
2.6 The relationship between supply chain integration and performance
2.7 Related Theories
2.7.1 Organizational Capability Theory
2.7.2 Systems Theory
CHAPTER THREE
RESEARCH METHODOLOGY
3.0 Introduction
3.1 Research Design
3.2 Research paradigm
3.3 Population of the study
3.4 Sampling Size and Technique
3.5 Questionnaire Design and Data Collection Instrument
3.6 Data Sources and Collection Procedure
3.7 Data analysis
3.8 Ethical considerations
DATA ANALYSES AND DISCUSSION OF FINDINGS
4.0 Introduction
4.1 Evaluation of Common Method Variance (CMV)
4.2 Descriptive Statistics
4.3 Reliability and Validity of the Constructs
4.3.1 Standardized Factor Loadings and T Values
4.3.2 Correlation Matrix and Average Variance Extracted (AVE)
4.3.3 Model Fitness
4.3.4 Kaiser-Meyer-Olkin (KMO) Barlet’s Test (BT)
4.3.5 Rotated Component Matrix
4.4 Multi-collinearity Test
4.5 Analysis of the Effect of Internet of Thing on Supply chain performance.
4.6 Analysis of the Effect of Internet of Thing on Performance
4.7 Analysis of the Effect of Supply Chain Integration on Performance
4.8 Discussions of Findings
4.9 summary of research hypothesis
CHAPTER FIVE
CONCLUSIONS AND RECOMMENDATIONS
5.1 Conclusions of the study
5.2 Theoretical and managerial implications
5.3 Recommendation of the study
5.4 Limitations and recommendation for future research
REFERENCES
APPENDIX QUESTIONNAIRE
- Quote paper
- Albert Adusei Brobbey (Author), 2022, The Effect of the "Internet of Things" on Supply Chain Integration and Performance. An Organizational Capability Perspective in the Automotive Industry, Munich, GRIN Verlag, https://www.grin.com/document/1281134
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