Blockchain Technology Adoption in Food Industry - A Consumer Perspective Approach
- Abstract
- A prior current conern in the food industry is how to ensure the food safety. These food safety issues have posed major risks to the health of consumers which keep triggerring public’s safety requirements on the food quality. Therefore, ensuring food safety is of great significance to the health of consumers and also the development of food industry. Currently, the information asymmetry among each participant of food supplychain partly causes the food fraud, which increases the difficulty in traceing related information such as the food raw materials during the whole completion of food production.
Currently, some technologies have been introduced to solve the food safety issues, among which Blockchain technology (BCT) is expected to provide better visibility and transparency by removing the disadvantages of trust related issues with its technical characteristics. Blockchain technology exploits a shared participation mechanisms that all stakeholders involved in the food supply chain, which means consumers, food producers, and suppliers are also gradually transforming into a new relationship.
In recent years, the market of BCT in the food industry is expected to grow, owing to an increase in the demand for supply chain transparency. The major driver of the blockchain market is the growing number of food fraud cases. The growth rate of small and medium-sized enterprises is higher as several startups are investing in this market across the globe and understanding the benefits this technology offers, yet still not widely adopted in the globe.
Many scholars tried to study the acceptance and adoption of BCT technology by using TAM, UTAUT, TPB model, from the perspective of supply chian in the food industry instead of consumers. However, it is of same significance to study the acceptance of this technology among consumers, for better promoting the adoption of blockchain technology and its applications. As BCT technology is different from other technologies, users are not only the one who accept the technology, but also consumers for personal purposes. Hence, the user perceived value of BCT in the food industry should be taken into consideration. Therefore, based on the above mentioned, this paper not only analyze the factors of the BCT itself, but also the perceived value of consumers towards the intention to use of the BCT in the food industry by using the Value-based Adoption Model(VAM). So this paper is to explore the effect of beneficial and sacrificial factors of BCT applied in the food industry on the perceived value as well as the effect of moderating variables on beneficial and sacrificial factors of BCT applied in the food industry on perceived value. The results indicate that the division of beneficial and sacrificial factors of BCT applied in the food industry is very necessary, which can clearly show the impact of various characteristics on perceived value and intention to use. Besides, in the model of VAM, the higher the user perceived value, the higher the user intention of intention to use, so we proposed that IT solotion providers of BCT should pay more attention to user perceived value in their development and operation.
Key Words: Block chian technology; Food safety; Supply chain; Intention to use; Perceived value
- Author(s)
- TU WEN
- Issued Date
- 2022
- Awarded Date
- 2022. 8
- Type
- Dissertation
- Publisher
- 부경대학교
- URI
- https://repository.pknu.ac.kr:8443/handle/2021.oak/32664
http://pknu.dcollection.net/common/orgView/200000643620
- Affiliation
- Pukyong National University, Graduate School of Management of Technology
- Department
- 기술경영전문대학원 기술경영학과
- Advisor
- Kiho Kwak
- Table Of Contents
- I. Introduction 1
1.1 Research Background 1
1.2 Research Objectives 8
1.3 Research Methodology 9
1.4 Summary of Finding & Contribution 10
1.5 Organization of Thesis 11
1.6 Research Framework 12
II. Theoretical Background 15
2.1 Definition of Blockchain Technology 15
2.1.1 Definition 15
2.1.2 BCT Charateristics 16
2.2 Blockchain in Food Industry 19
2.2.1 Application of BCT in Food Industry 19
2.2.2 The Market Value of BCT in Food Industry 24
2.3 Research Trend of BCT Applied in Food Industry 32
2.3.1 Technology Acceptance Model (TAM) 32
2.3.2 Unified Theory of Acceptance and Use of Technology( UTAUT) 33
2.3.3 Theory of Planned Behavior (TPB Model) 36
3. Value-based Adoption Model(VAM) 38
III. Research Model and Hypotheses Development 43
3.1 Research Model 43
3.2 Hypotheses Development 44
3.2.1 The Beneficial factors and Perceived value 44
3.2.2 The Sacrificial factors and perceived value 49
3.2.3 Perceived value and Intention to use 52
3.2.4 The Moderating effect of food safety concern 53
3.2.5 The Moderating effect of Knowledge of BCT regulation 55
3.2.6 The Moderating effect of Personal innovativeness 58
3.2.7 The Moderating effect of Brand familiarity 60
IV. Research Design and Data Collection 64
4.1 Questionnaire Design 64
4.1.1 The Beneficial and sacrificial factors of BCT application in food industry 64
4.1.2 Food safety concern 68
4.1.3 Knowledge of BCT Regulation 69
4.1.4 Personal innovativeness 70
4.1.5 Brand familiarity 71
4.1.6 Perceived value 71
4.1.7 Intention to use 72
4.2 Organize Questionnaire and Data Collection 73
4.2.1 Organize questionnaire 73
4.2.2 Data Collection 74
4.3 Analysis Method 75
V. Empirical Analysis 77
5.1. Demographic Characteristics 77
5.1.1. Demographic characteristics 77
5.2.1 Reliability Analysis and Confirmatory Factor Analysis 79
5.2.1.1 Exploratory factor analysis and reliability analysis 79
5.2.1.2 Confirmatory factor analysis 83
5.3 Correlation Relationship Analysis and Discriminant Validity Testing 85
5.4 Validating the Research Model and Hypotheses 87
5.4.1 Validating the Research Model 87
5.4.2 Validating the Hypotheses 89
5.4.3 Moderating Results 91
5.4.4 Hypothesis Testing Results 101
VI. Conclusion 105
6.1 Discussion of the Research Findings 105
6.2 Theoretical Contributions and Implications 112
6.3 Practical Contributions 115
6.3.1 Management advice for IT solution providers 115
6.3.2 Management advice for the Managers 116
6.3.3 Management advice for the Government 118
6.4 Successful Cases in China 119
6.5 Limitations and Future Research 121
REFERENCES 123
ACKNOWLEDGEMENT 144
- Degree
- Doctor
-
Appears in Collections:
- 기술경영전문대학원 > 기술경영학과
- Authorize & License
-
- Files in This Item:
-
Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.