This study examines the intricate relationships among Blockchain Technology utilization, Supply Chain Efficiency, Export Performance, and the Financial Performance of Small and Medium-sized Enterprises (SMEs). The research aims to elucidate the impact of technology adoption on various operational and financial aspects within the SME context. Employing a quantitative research design, data was collected from a diverse sample of SMEs across industries. The relationships were analyzed using statistical techniques, and the hypotheses were tested to uncover the implications of Blockchain Technology integration on SMEs' performance dimensions. The findings reveal that the adoption of Blockchain Technology significantly enhances Supply Chain Efficiency, underscoring its potential for optimizing operational workflows. However, the direct impact of technology on SME Financial Performance is not established, suggesting the importance of a holistic approach to financial growth. Moreover, the positive association between Blockchain Technology and Export Performance highlights the pivotal role of technology in fostering international trade success. Theoretical implications underscore the intricate interplay between technology adoption, operational efficiencies, and financial outcomes in SMEs. Managerially, the study advocates for SMEs to strategically integrate technology within their supply chain management practices to achieve enhanced efficiency and market competitiveness. Limitations include the potential for contextual variations and measurement biases. Future research can delve deeper into the moderating factors that influence the relationship between technology and financial performance in SMEs. The novelty of this study lies in its comprehensive examination of the interrelationships between these factors within the SME context.
The main aim of this study was to investigate the impact of blockchain technology, business ethics, and corporate social responsibility (CSR) on social sustainability. Additionally, this study sought to explore how CSR and business ethics serve as mediators in shaping these impacts. This study collected data from employees in the banking sector in the United Arab Emirates (UAE), using a purposive sampling technique. A cross-sectional research design was employed, and a questionnaire was developed to gather responses from 416 participants. The usable response rate was 62.67%. This study utilized structural equation modeling (SEM) with SmartPLS as a tool to analyze the data. The results of this study indicate that blockchain technology has a positive influence on CSR, business ethics, and social sustainability. Additionally, CSR and business ethics have a positive effect on social sustainability. This study confirms the mediating role of business ethics and CSR. These findings can be useful for bank officials and academic decisionmakers in developing strategies.
Muhammad Farrukh Shahzad, Shuo Xu, Rimsha Baheer, Waleed Ahmad
This research study aims to reveal the role of supply chain parameters approved by blockchain technology toward firm performance through trust. This study has also examined the moderating role of government support between trust and firm performance. The underlying theories reinforce the usefulness and flexibility of a supply chain in regulating daily fluctuations and uncertainties in supply and demand. Blockchain technology adoption with supply chain tactics provides a more suitable environment for better firm performance. Governments address legal and security concerns related to blockchain technology and provide clear guidelines and standards for its use in supply chains, which build trust among firms and stakeholders. A conceptual model has been developed with the assistance of past empirical research studies and associated theories. This research study has examined the following relationships from a sample of 465 employees from textile industrial firms listed on the Pakistan Stock Exchange. The current research study assesses these parameters using the partial least squares structural equation modeling (PLS-SEM) method. The analysis showed that supply chain parameters (alignment, agility, adaptability) approved by blockchain technology positively correlate with firm performance. Trust positively mediated the relationship between supply chain parameters approved by blockchain technology and firm performance. Furthermore, government support positively moderated the relationship between trust and firm performance. The study would provide directions for further research. These findings will give the global supply chain industry valuable insights into blockchain technology for firm performance. In theory, this research study would contribute to the scientific literature by answering how trust and government support affect the overall firm performance.
Blockchain technology has attracted widespread attention due to its compelling features, such as decentralization, transparency, and smart contracts, which can address significant issues in various industries in developing countries such as Malaysia. However, although several studies have arisen from diverse academic backgrounds addressing blockchain in Malaysia, no studies provide a comprehensive review and classification of the research in this field. The main goal of this research is to conduct a bibliometric analysis and systematic review of all blockchain papers published in Malaysia to understand the evolution of knowledge and present state and identify prospective future research fields. Web of Science and Scopus databases searched for existing literature on blockchain in Malaysia, and 76 papers were reviewed and categorized based on study purpose/focus, domain/sectors, the methodology employed, theories applied, and level of analysis. The findings show that blockchain is under-explored in Malaysia, and most current studies focus on Blockchain adoption in specific industries such as finance and supply chain management. However, in other areas, such as healthcare and education, Blockchain conceptual progress is still in its infancy. These findings are being utilized to suggest future research paths in this discipline, such as the need for methodological improvements and a theoretical basis to study blockchain in different sectors.
Identity documentation for refugees is a complex process and crucial for host nations. A secured identity management system ensures both security and the efficient provision of services for the host nation and the donor organizations. Realizing the benefits, a handful of studies enriched the blockchain-based security identification for refugees. The research studies presented the introductory, conceptual, and practical solution related to the blockchain-based smart contract. There is a common agreement in the studies that blockchain-based smart contract not only streamlines refugee identity verification but also safeguards against unauthorized entries. Since it is a technology as well, it has been essential to know the present status of the technology in the social context. In such a situation it becomes essential to review the existing research studies to provide insight for future studies. In this study, we reviewed current studies using a thematic approach. Our findings suggest researchers are more inclined to provide conceptual models as the models are important in advancing technology; however, the models need to be implemented for practical advances. However, the main contribution of this study is that this study gathers current efforts in smart contract-based refugee identity management. This study is important for the refugee host nations as well as for stakeholders. Knowledge gained from the study is expected to provide insight into how the technology can be developed using existing theory and implementation frameworks.
In the VUCA (Volatile, Uncertain, Complex, Ambiguous) era, construction management faces unique challenges, particularly in the realm of workload assessment. This paper proposes an innovative solution to address these challenges: a blockchain-based GameFi model for construction workload assessment. This model leverages blockchain Non-Fungible Token (NFT) technology to issue various badges, reliably representing employees' workload. The technology ensures the authenticity and tamper-proof nature of the badges, thereby fostering employee motivation through a distributed trust system. This study provides fresh insights into the construction industry's digital transformation and is anticipated to lay the groundwork for similar applications in other sectors.
Abderahman Rejeb, Karim Rejeb, Steve Simske, John G. Keogh
Blockchain technology has emerged as a tool with the potential to enhance transparency, trust, security, and decentralization in supply chain management (SCM). This study presents a comprehensive review of the interplay between blockchain technology and SCM. By analyzing an extensive dataset of 943 articles, our exploration utilizes the Latent Dirichlet Allocation (LDA) method to delve deep into the thematic structure of the discourse. This investigation revealed ten central topics ranging from blockchain’s transformative role in supply chain finance and e-commerce operations to its application in specialized areas, such as the halal food supply chain and humanitarian contexts. Particularly pronounced were discussions on the challenges and transformations of blockchain integration in supply chains and its impact on pricing strategies and decision-making. Visualization tools, including PyLDAvis, further illuminated the interconnectedness of these themes, highlighting the intertwined nature of blockchain adoption challenges with aspects such as traceability and pricing. Despite the breadth of topics covered, the paper acknowledges its limitations due to the fast-evolving nature of blockchain developments during and after our analysis period. Ultimately, this review provides a holistic academic snapshot, emphasizing both well-developed and nascent research areas and guiding future research in the evolving domain of blockchain in SCM.
The Internet of Things (IoT) has revolutionized the healthcare industry by enabling the seamless integration of medical devices, sensors, and data-driven applications. However, the large influx of sensitive healthcare data and the proliferation of linked devices have caused grave worries about data security and privacy. Traditional centralized security systems are unable to handle the changing threats and problems in the IoT healthcare setting. This study suggests a novel strategy for boosting data security in the healthcare industry that makes use of blockchain technology. The main goal of this research is to develop and deploy a trustworthy framework that safeguards private healthcare information in IoT networks. Blockchain, as a distributed and decentralized ledger, offers inherent security features such as immutability, transparency, and cryptographic mechanisms. In this research, it is suggested that healthcare data be gathered via the IoT and stored in the Interplanetary File System (IPFS) using Ethereum-based blockchain technology for data security. The suggested method creates a reliable environment for managing healthcare data by exploiting the special features of blockchain. The json and jpeg files are utilized five times on a distributed database housed on IPFS and a centralized database hosted on Firebase, and the upload and download times are recorded. For IoT-based healthcare systems, we have also investigated the cost and length of time required to implement smart contracts on blockchain platforms like Rinkeby, Binance, and Matic. This research suggests implementing the Blockchain platform in an IoT-based healthcare system to provide data confidentiality, integrity, and accessibility.
This research paper contains information on Blockchain technology based social media. Blockchain is revolutionizing the way social media platforms operate, offering new opportunities for user empowerment data privacy, and content ownership. Block chain-based social media platforms leverage distributed ledger technology to enhance security, transparency, and decentralization. User gain greater control over their personal data and content, reducing the influence of centralized entities.
Qingyu Zhang, Salman Khan, Salman Khan, Safeer Ullah Khan · 6 authors
This paper aims to investigate the behavioral intention to adopt blockchain technology (BC) in Pakistan’s operation and supply chain management. A conceptual framework is developed by extending the unified theory of acceptance and use of technology (UTAUT) model, incorporating technology readiness, technology affinity, and trust. The model was empirically examined using 198 responses from an online survey directed by a Pakistan operation and supply chain professionals. The proposed model is tested using Smart PLS. The empirical results suggest that BC adoption is positively influenced by facilitating condition, social influence, effort expectancy, technology readiness, and technology affinity, while performance expectancy and trust negatively influence BC to adopt. This research contributes to the advancement and stimulation of blockchain technology acceptance behavior in supply chains and significant managerial implications that could be more meaningful for developing economies.
Blockchain technology has become more common in the audit industry, posing new problems for traditional audit work. Researchers have been studying the effect of customers’ use of blockchain technology on audits, especially on audit risk and audit methods. This paper examines audit cases of Chinese enterprises that use blockchain technology. It analyzes the effect of the use of blockchain technology on the audit and the new audit problems. It also examines an Australian blockchain audit case using a questionnaire. This case study showed that the application of new technologies to the audit industry may lead to increased inherent risks and control risks. The audit methodology is uncertain and there are two possible approaches: (1) a combination of direct, indirect, account-level, and entity-level evidence and (2) an increase in indirect and entity-level evidence. This paper puts forward the reference case of the Australian blockchain audit experience and suggestions for developing blockchain audits in China.
Purpose:This article delves into the transformative potential of smart contracts in revolutionizing procurement within supply chain management, with a special focus on the healthcare industry. In line with the challenges posed by complex procurement processes, the study explores how self-executing digital contracts can enhance efficiency, security, and transparency. Theoretical framework:The article is grounded in the concept of smart contracts and their applications in procurement, serving as a bridge between emerging technology and supply chain management innovation. It draws upon an extensive body of literature and research related to smart contracts, supply chain management, and technology adoption. The study is designed to build upon this theoretical foundation, using two comprehensive case studies to provide real-world insights and practical applications. These case studies, situated within the healthcare industry, serve as tangible examples of how the theoretical concepts surrounding smart contracts manifest in actual procurement processes. Design/methodology/approach:To investigate the application of smart contracts in healthcare procurement, we employed a qualitative research approach. This encompassed an extensive literature review of academic papers, industry reports, and relevant articles, uncovering the unique advantages and challenges in procurement & supply chain management. Building upon these findings, we developed a groundbreaking smart contract-based procurement system, presented through sequence diagrams. To validate our solution, we implemented and rigorously tested it within a real-world Ethereum environment. Findings:Our research reveals that integrating smart contracts into procurement processes results in streamlined operations, diminished reliance on intermediaries, and heightened transparency and traceability. Moreover, the proposed solution showcases significant potential for enhancing procurement efficiency in the healthcare sector. Research, Practical & Social Implications: These findings present valuable insights with far-reaching implications and hold substantial implications for stakeholders. Healthcare organizations can harness smart contracts to optimize their procurement procedures, yielding improved efficiency, transparency, and security. In a rapidly digitalizing landscape, our research empowers companies to maintain their competitive edge while delivering enhanced value to partners and customers. Originality/value:This article contributes significantly to the existing literature by offering a comprehensive examination of smart contract integration within procurement function, set within the broader context of supply chain management. It introduces a pioneering solution and provides a validated methodology, paving the way for in-depth exploration of smart contracts' impact on diverse stakeholders across healthcare supply chains
To promote theoretical and empirical research on blockchain-enabled supply chain finance in China, this article provides an overview of relevant studies in China. Currently, research related to blockchain-enabled supply chain finance in China primarily focuses on three aspects: the underlying mechanisms of blockchain-enabled supply chain finance (including decentralization and consensus mechanisms, distributed storage, tamper resistance, and anti-denial features, as well as smart contracts), the positive effects of blockchain-enabled supply chain finance (including comprehensive effects, credit transmission, risk management) and the application scenarios of blockchain-enabled supply chain finance, and the impact mechanisms of blockchain on supply chain finance gaming behaviors (including the influence of blockchain on supply chain finance decision-making, risk assessment, and the supply chain financial system). Overall, research in China on the positive effects of blockchain-enabled supply chain finance (such as cost and benefit analysis, micro-level efficiency) is relatively limited. Additionally, studies on the factors affecting the adoption of blockchain in supply chain finance and the behavior of banks and small and medium sized enterprises (SMEs) in blockchain adoption within supply chain finance are relatively scarce. Given the backdrop of financial technology, further research is needed to deepen our understanding of various aspects related to blockchain-enabled supply chain finance in China.
Atul Kumar Singh, V. R. Prasath Kumar, Gholamreza Dehdasht, Saeed Reza Mohandes · 6 authors
This study aims to investigate the barriers to the adoption of Blockchain Technology (BT) within the field of Construction Supply Chain Management (CSCM) by unravelling their interrelationships. In doing so, a Pythagorean fuzzy-set-based DEMATEL method to assess these barriers in a complex environment is proposed. The results of the study suggest that “market-based risks”, “high costs for maintaining sustainability”, and “usage in the underground economy” are the most influential barriers to the adoption of BT in CSCM. Furthermore, the study identifies that “inadequate knowledge/employee training”, “contractual risk”, and “scalability issues” play a pivotal role within the CSCM system. The reliability and validation of the obtained results were also shown using sensitivity analysis and the focus-group-discussion approach. The findings of this study provide valuable insights for stakeholders in the construction industry to design and implement effective measures to overcome the identified barriers to the adoption of BT in CSCM. By addressing these barriers, stakeholders can facilitate the adoption of BT, leading to more efficient and effective construction supply chain management practices.
Health care data requires data secrecy, confidentiality, and distribution through public networks. Blockchain is the latest and most secure framework through which health care data can be transferred on the public network. Blockchain has gained attention in recent year’s due to its decentralized, distributed, and immutable ledger framework. However, Blockchain is also susceptible to many attacks in the permission less network, one such attack is known as Sybil attack, where several malicious nodes are created by the single node and gain multiple undue advantages over the network. In this research work, the Blockchain network is created using the smart contract method which gets hampered due to Sybil attack. Thus, a novel method is proposed to prevent Sybil attack in the network for privacy preservation. Universal Unique Identifier code is used for identification and prevention of the Sybil attack in the self-created networks. Results depict that proposed method correctly identifies the chances of attack and the prevention from the attack. The approach has been evaluated on performance metrics namely, true positive rate and accuracy which were attained as 87.5 % and 91% respectively, in the small network. This demonstrates that the proposed work attains improved results as compared to other latest available methods.
This study innovatively intertwines technology adoption and e-learning by integrating blockchain and AI, offering a novel perspective on how cutting-edge technologies revolutionize learning processes. The present study investigates the factors that influence the behavioral use of learners to use blockchain and artificial intelligence (AI) in e-learning. The study proposes the integrated model of Technology Acceptance Model (TAM) and Information System (IS) success Model that include perceived usefulness, perceived ease of use, system quality, information quality, and service quality as antecedents to behavioral use of blockchain and AI in e-learning. The model also examines the moderating effect of learner self-efficacy on the relationship between behavioral use and e-learning engagement and performance. The study collected data from 322 respondents and analyzed the data using partial least squares structural equation modeling (PLS-SEM) with a bootstrapping technique. The results show that the factors of TAM model and IS model have the significant and positive effects on behavior to use blockchain and AI in e-learning. Additionally, learner self-efficacy has a significant positive effect on e-learning engagement and performance, but it does not moderate the relationship between behavior to use blockchain or AI and e-learning engagement and performance. Overall, the study provides insights into the factors that influence the adoption of blockchain and AI in e-learning and offers practical implications for educators and policymakers.
Commercial real estate transactions are notorious for their complexity, which stems from multiple property brokers, legal entities, illiquidity, heterogeneity, and a lack of transparency. This conceptual study proposes a novel approach to address these challenges using blockchain technology, which enables buyers and sellers to transact in an informationally symmetrical way within an open real-estate ecosystem. The proposed conceptual model employs tokenisation on the blockchain and is developed using the Design Science Research Methodology and Action Design Science Research approach. The model undergoes multiple stages of evolution, including pre-design, which is validated through expert interviews, to arrive at the final conceptual design. The study identifies six key factors that influence the application of blockchain in real estate transactions, including adoption, governance and compliance, transaction costs, transparency and immutability, security, and scalability. Overall, the study suggests that blockchain has the global potential to significantly reduce transaction costs and improve efficiency in the real estate industry, making it a promising solution for the challenges facing the sector.
BACKGROUND: Blockchain technology has revolutionized the healthcare sector, including emergency medicine, by integrating AI, machine learning, and big data, thereby transforming traditional healthcare practices. The increasing utilization and accumulation of personal health data also raises concerns about security and privacy, particularly within emergency medical settings. METHOD: Our review focused on articles published in databases such as Web of Science, PubMed, and Medline, discussing the revolutionary impact of blockchain technology within the context of the patient journey through the ED. RESULTS: A total of 33 publications met our inclusion criteria. The findings emphasize that blockchain technology primarily finds its applications in data sharing and documentation. The pre-hospital and post-discharge applications stand out as distinctive features compared to other disciplines. Among various platforms, Ethereum and Hyperledger Fabric emerge as the most frequently utilized options, while Proof of Work (PoW) and Proof of Authority (PoA) stand out as the most commonly employed consensus algorithms in this emergency care domain. The ED journey map and two scenarios are presented, exemplifying the most distinctive applications of emergency medicine, and illustrating the potential of blockchain. Challenges such as interoperability, scalability, security, access control, and cost could potentially arise in emergency medical contexts, depending on the specific scenarios. CONCLUSION: Our study examines the ongoing research on blockchain technology, highlighting its current influence and potential future advancements in optimizing emergency medical services. This approach empowers frontline medical professionals to validate their practices and recognize the transformative potential of blockchain in emergency medical care, ultimately benefiting both patients and healthcare providers.
Cryptocurrency is receiving widespread acceptance in the international market. Unfortunately, little attention is focused on the full identification of the cryptocurrency adoption factors, especially when it comes to emerging nations like Saudi Arabia. The current investigation is aimed at investigating whether the use of dual structural equation modelling and artificial neural network (SEM-ANN) would permit a better comprehension of the determinants of cryptocurrency adoption than the single-step PLS-SEM technique and explore the predictors of cryptocurrency adoption. An extended unified theory of acceptance and use of technology (UTAUT) model was used. A sample of 344 responses from Saudi Arabian students at public universities was used to verify the model. Unlike the majority of existing studies that were based on a single-step PLS-SEM approach, this investigation employed a superior statistical approach, the dual SEM-ANN approach, considered a unique methodological approach that can recognise variables’ connections that are both linear and nonlinear and predict relationships with higher accuracy. Moreover, the dual SEM-ANN analysis revealed security as the most important factor influencing whether users would accept cryptocurrency, followed by effort expectancy and awareness. The application of the dual SEM-ANN technique and the extension of the UTAUT model with security and awareness constructs have enhanced the existing technology adoption literature. Additionally, methodological, theoretical, and practical contributions were offered by this study.
Mehak Maqbool Memon, Manzoor Ahmed Hashmani, Filmann Taput Simpao, Anthony C. Sales · 6 authors
Blockchain's core attributes, including decentralization, transparency, and immutability, have positioned it as a pioneering technology in the realm of financial technology (fintech) and have rendered it highly applicable across diverse industries. The current enterprise ecosystem has faced setbacks primarily due to a lack of trust in the existing infrastructure. This issue can be traced back to the centralized management of healthcare data, making it vulnerable to tampering and fraudulent activities, resulting in financial losses. The existing enterprise ecosystem failed due to the lack of trust in the currently in-place infrastructure. This problem can be attributed to the centralized healthcare data management, which is prone to tampering and fraudulent activities leading to capital loss. The present study relates to a comprehensive survey conducted in timespan from 2018 to 2022 on the implementation of blockchain technology in the healthcare industry, identifying and discussing the key challenges facing the healthcare industry, such as fraud, and scams against healthcare data. It is found that there is an enormous inclination towards the decentralization of patient-centric data. However, a rapid decline is reported due to the privacy and security concerns of the confidential and sensitive data. Moreover, it is noticed that most of the implementations utilized either Ethereum or Hyperledger. Based on the survey's findings, the study proposed a blockchain-based healthcare framework that can address the identified challenges by providing a secure and transparent platform for collecting, storing, and sharing patient health data while prioritizing security and privacy.
This research focuses on the high urgency of utilizing Artificial Intelligence (AI) and the Internet of Things (IoT) to enhance Smart Tourism Destinations (STDs). The integration of AI and IoT technologies offers unprecedented opportunities to revolutionize various aspects of tourism, from personalized recommendations to real-time data collection. The research aims to provide a comprehensive analysis of the current state, challenges, and future direction of STDs in the context of AI and IoT integration. It explores various AI techniques and IoT-enabled data collection mechanisms that can enrich the traveler experience and improve destination management. However, challenges such as privacy and data security issues need to be addressed. The research also provides foresight into future technologies like Augmented Reality (AR) and Virtual Reality (VR) that can further enhance STDs. The ultimate goal is to contribute to the development of smarter, visitor-oriented tourism destinations. The research highlights the significance of AI in shaping STDs and emphasizes the importance of addressing ethical considerations, data quality, interpretability, and human-AI collaboration to ensure responsible and effective use of AI in the tourism industry.
The fast use of blockchain technology, cryptocurrencies, and electronic trading has had a profound influence on the world's foreign exchange market, creating both difficulties and potential for market regulation and exploitation. Blockchain has the capability to completely transform the foreign exchange business by bringing improved transparency, efficiency, and security. Blockchain allows for the construction of transparent, tamper-proof transaction records since it uses distributed ledger technology. Lately, Blockchain technology and Forex trading have experienced tremendous growth in popularity in recent years, but it's important to remember that they also include hazards that investors need to be aware of. The goal of this study is to determine how blockchain technology might be applied to boost the Forex market, highlighting the advantages of decentralization, efficiency, security, and transparency. This study aims to explore the potential contribution of blockchain technology to the foreign exchange market. The research employs a literature review and analysis approach to investigate the relationship between blockchain technology and the foreign exchange market. The findings of the study indicate that blockchain technology has the potential to revolutionize the foreign exchange market. The paper concludes that the use of distributed ledger technology enables the creation of transparent and tamper-proof transaction records, addressing existing challenges of transparency and security in the Forex market.
The maritime industry has faced several challenges related to inefficiency, fraud, and compliance in both marine engineering and shipping logistics. Blockchain technology, with its decentralized and immutable nature, offers a transformative solution for enhancing transparency, security, and operational efficiency across these sectors. This paper explores the integration of blockchain technology into marine engineering practices, such as vessel maintenance, and shipping logistics, including cargo tracking and document management. Through blockchain’s distributed ledger system, stakeholders can ensure real-time, transparent data sharing, reducing human errors and delays while improving the security of maritime transactions. This research evaluates current blockchain applications, identifies barriers to adoption, and discusses the potential of blockchain to drive future innovations in maritime operations.
Blockchain technology can be used to record real data at various nodes in the entire supply chain and can achieve timely data sharing and full traceability of the whole lifecycle of products in the supply chain. This study conducts a systematic literature review based on the WOS database, focusing on the research topic of the application of blockchain technology in supply chain management. We propose clear search and screening criteria based on 4 research questions and finally obtain 591 target studies. We conduct a detailed study on the distribution of the target literature in this research area, country/region, institution, and journal. Different countries/regions cooperate with each other and, thus, are clustered into five significant countries regions’ cooperation networks. There is a strong coupling relationship between research institutions, forming four major institutional cooperation networks. According to the analysis of those papers with a high number of citations, most of such papers were published in 2019, while the cross-citation phenomenon between papers occurred more frequently in 2021 and 2022. We use VOSviewer for visual coupling analysis of all keywords, which are automatically clustered into three research hotspots. Using CiteSpace to perform timeline-based keyword cooccurrence analysis, we find that scholars have gone through a “discovery-acceptance-question-improvement” process for the application of blockchain technology in supply chain management. According to the intensity and duration of burst detection words in different years, we draw three key points for future research. (i) Blockchain technology should be used to restructure and optimize the high-end food and medical cold chain supply chains. (ii) Blockchain technology should be used to enhance the cooperative relationship between supply chain members and the overall competitiveness of the supply chain. (iii) Innovate blockchain encryption technology that should be used to reduce the risk of information and privacy leakage in the supply chain.