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Sustainability
  • Review
  • Open Access

9 August 2023

From Hype to Reality: Unveiling the Promises, Challenges and Opportunities of Blockchain in Supply Chain Systems

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College of Computing and Information Technology, University of Doha for Science and Technology, Doha 24449, Qatar
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Department of Computer Science, Kebri Dehar University, Kebri Dehar 250, Ethiopia
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Department of Computer Science, City University New York, New York, NY 10036, USA
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National Advanced IPv6 Centre (NAv6), Universiti Sains Malaysia, Gelugor 11800, Malaysia
This article belongs to the Special Issue Revolutionizing Blockchain Technology for Smart and Sustainable Transportation and Logistics

Abstract

Blockchain is a groundbreaking technology widely adopted in industrial applications for improving supply chain management (SCM). The SCM and logistics communities have paid close attention to the development of blockchain technology. The primary purpose of employing a blockchain for SCM is to lower production costs while enhancing the system’s security. In recent years, blockchain-related SCM research has drawn much interest, and it is fair to state that this technology is now the most promising option for delivering reliable services/goods in supply chain networks. This study uses rigorous methods to review the technical implementation aspects of SCM systems driven by Blockchain. To ensure the security of industrial applications, we primarily concentrated on developing SCM solutions with blockchain capabilities. In this study, the unique qualities of blockchain technology have been exploited to analyze the main effects of leveraging it in the SCM. Several security metrics are utilized to validate and compare the blockchain methodologies’ effectiveness in SCM. The blockchain may alter the supply chain to make it more transparent and efficient by creating a useful tool for strategic planning and enhancing connections among the customers, suppliers, and accelerators. Moreover, the performance of traditional and blockchain-enabled SCM systems is compared in this study based on the parameters of efficiency, execution time, security level, and latency.

1. Introduction

The manufacturing industry now demands a sustainable environment and an effective balance of societal and financial goals [1,2]. Manufacturing companies can now meet increasing customer demands while having little negative impact on the ecosystem and community. With the significance of sustainable practices, manufacturers are adopting various technologies and methods to improve their sustainability performance in the market, including big data analytics, artificial intelligence, and blockchain [3,4]. Blockchain is one of the newest and fastest-growing digital technologies that can support sustainable manufacturing. Blockchain technology uses a distributed and independent data structure, which enables data sharing on a public network. In Blockchain [5,6,7], every transaction is authorized, confirmed, and made accessible by other network users [5,6,7].
Moreover, the Blockchain guarantees the security and integrity of the transactions [8]. Blockchain was first used in the banking sector to replace manual validation of transactions with digital credentials for cryptocurrencies [9,10]. Blockchain has drawn interest from academics and industry experts because it might improve accountability, trust, openness, data consistency, and security. In general, blockchain implementations can be either private or public. In addition, it has the potential to provide complete transparency throughout international supply chains. Consequently, it can result in better tracking of items and offer tamper-proof data to create trust between stakeholders. The supply chain [11] industries can adopt more sustainable practices due to the potential benefits of blockchain technology.

1.1. Types of Blockchain

Blockchain is generally categorized into three types: public, private, and consortium, in which public Blockchain is a permissionless network accessible to everyone. Anyone can join the network and engage in this kind of Blockchain by learning, generating content, or interacting outside it. A public blockchain has decentralized features and lacks a central authority that governs the entire network. Moreover, the data on a public blockchain are safe since it is impossible to change or edit data once verified on the Blockchain. A private blockchain is permissioned since a network operator manages it, and only approved users can join the network. The network is controlled by a few entities, which makes it necessary to conduct transactions through external parties. Only the parties involved in the transaction will know about it in this type of Blockchain; others will not be able to access it, making the transaction private. A hybrid blockchain combines elements from both private and public Blockchain. It seeks to balance the two blockchain techniques’ advantages while minimizing their drawbacks. It has applications for businesses deploying private and public Blockchains to benefit from the integrated benefits. A private permission-based system and a public permission-less system are both possible with such a Blockchain network. The other type is a consortium blockchain, which aims to eliminate the private Blockchain’s single-entity independence.
Contrary to a private blockchain, more than one entity exists on the network in the event of a consortium blockchain. The decentralized nature of the control is maintained because no single authority controls it. The core features of these blockchain techniques are illustrated in Figure 1a, and the difference between the types of blockchain technologies are illustrated in Figure 1b. The major drawbacks of using private blockchain are given in below:
Figure 1. (a). Features of Blockchain. (b). Difference between various blockchain technologies.
  • Establishing trust: A private network has fewer users than a private network.
  • Reduced security: Since there are a smaller number of nodes or participants in a private blockchain network, hence it is more susceptible to a security breach.
  • The limitation of private block chains is their need on a central Identity and Access Management (IAM) solution. This system offers complete managerial and tracking capabilities.

1.2. Supply Chain Management (SCM)

The supply chain management (SCM) and logistics communities have paid close attention to the development of blockchain technology [12]. Supply chain management typically involves managing and preserving producer relationships with vendors, administration, and customers to provide higher customer value at a lower cost. The notion of the Internet of Things (IoT), which enables the use of numerous intelligent actuators and sensors connected to the Internet, provides creative ways for monitoring the movement of goods and commodities essential to supply chains [13,14]. It specifically addresses the essential element of supply chain management—the seamless exchange of information about a product between parties involved in its entire life cycle. Figure 2 shows the uses of Blockchain in SCM.
Figure 2. Blockchain SCM.
For the management of distribution centers, reviewing the past transactions will help them have confidence in the supply reliability and optimize the supply chain; therefore, the issue of ensuring the reliability and openness of the supply chain is equally crucial for intermediate suppliers. Due to rising competition in the market for logistics mediators and the need for new, creative ways of working with digital technologies, the concerns of supply chain management optimization and improvement are also pertinent and in demand. The capacity of digital technologies to radically alter the current organizational and financial procedures of supply chain management. The linear supply chains are already evolving into dynamic, interconnected open supply systems (digital supply networks), where information flows are perpetual and readily available to all network customers, allowing the avoidance of various operational issues and delays present in the traditional supply chains. One of these modern digital technologies is the blockchain. Due to the rapid expansion, it has just lately become more widely used. In the beginning, it was employed to hide transaction information. Presently the blockchain technology is rapidly rising in popularity. On its foundation, startups are being presented in many different economic sectors. It is the subject of media outlets, forums, and industry-specific conferences.
The main objectives of this study are as follows:
  • The technical implementation facets of SCM systems powered by Blockchain are reviewed in this study using a methodical approach.
  • We mainly focused on developing blockchain-enabled SCM systems to ensure the security of industrial applications.
  • The significant impacts of using blockchain technology in the SCM have been analyzed in this study with its distinct properties.
  • The performance of the recent blockchain methodologies used in the existing works is validated and compared using several security parameters.
The following subsections comprise the remaining parts of this article: The comprehensive literature evaluation of blockchain-enabled SCM systems is presented in Section 2. The digital ledger technology, use in SCM, and blockchain-based privacy preservation methods are all clearly explained in Section 3. The performance findings and comparison analysis among the existing blockchain-enabled SCM approaches are validated in Section 4. Moreover, the current challenges and future recommendations for the Blockchain SCM are stated in Section 5. Finally, Section 6 summarizes this study, including its recommendations, outcomes, and future actions.

3. Blockchain Technology

In this technology, the hash value generated by the cryptographic function can be used to identify each block in the data separately. A cryptographic hash function ensures that a single-bit change in the block contents [42] will result in a significant, unanticipated change in the hash code. To build a chain, each new block contains the preceding block’s hash code and its actual data. As shown in Figure 5, each block of data comprises the following fields of information:
Figure 5. Structure of Blockchain.
  • The hash value of the previous block,
  • Transaction data,
  • Nonce message, and
  • The hash value of the present block.
Blockchain is recognized as a workable way to lessen the complexity of international supply chains and is an appropriate technology for various parts of massive networks. The most complicated transaction is one involving commerce. It involves numerous parties, and the majority of transaction cooperation processes rely on physical documents, which consume a lot of resources, slow down transactions, and obstruct the efficient flow of commodities. The whole ecosystem will benefit from increased cooperation as a result of the conversion of traditional paper contracts into smart contracts and the realization of the functions of digitalization and independent reading. Distributed ledger technology can be used for effective monitoring, recording, and measurement for preserving environmental sustainability because it will eliminate the potential of illegal activities and content fabrication. The operating system built on the blockchain could enable the digital transformation of manual records and create a secure, open network to facilitate the management of blockchain data, data monitoring, and risk mitigation.

3.1. Applications of Blockchain in SCM

A supply chain can be thought of as a planned and methodical network that generates and distributes a certain product to the end user to lower expenses and retain competitiveness in the marketplace [43]. It is made up of many processes, information, and data flows, as well as people, organizations, and additional assets. The supply chain refers to all the steps and parties involved in getting a product from its initial state to the end consumer. This process begins with providing raw materials, their fabrication, transportation through the market, and shipment to the end user. Supply chain operations [44] often involve five parties: vendors, manufacturers, distributors, marketers, and customers. Each party in the supply chain transfers goods to another party following the arrangements made on payments and terms. Blockchains support [45] these contracts, payments, and shipment processes using contemporary supply chain management systems. Optimized supply chain operations are essential for lower costs and a fast production cycle [46]. Moreover, a large number of tasks that span many different domains make up the supply chain management system.
Manufacturers are facing numerous difficulties and are working to find solutions to move forward and expand [47]. It has become essential for manufacturers to meet their goals of obtaining social and economic advantages while upholding practices that avoid adverse effects on the environment. Sustainability development helps manufacturers to adapt to different problems successfully. The information is controlled and stored in a single area using a centralized strategy in the standard manufacturing supply chain. Hence, the entire system is susceptible to error, security breaches, corruption, or assault, because centralization raises the possibility of data loss, which may decrease the chain of supply participants’ trust in each other. The centralized manufacturing supply chain also needs a sufficient degree of dependability and transparency in supply chain activities, goods, and procedures. To increase confidence and preserve the current supply chain, it is necessary to strengthen the chain’s transparency, information security, trustworthiness, and accountability. By creating a dependable, translucent, accessible, and secured supply chain, blockchain technology [48] promotes sustainable manufacturing practices. This enables how blockchain technology affects sustainability’s financial, economic, ecological, and ethical pillars [49]. Typically, finishing the product lifecycle is a fundamental sustainability goal achieved using blockchain technology with reduced obstacles. As shown in Figure 6, data collection, analysis of data, and making decisions are the three basic categories under which technology competencies can be categorized. The application of blockchain technology outside of financial services has primarily been exploratory in nature. Blockchain technology is projected to have some of the most potential non-financial uses in SCM. These industries are good prospects for utilizing blockchain technology and are probably going to pay off early on in the deployment of blockchain. Blockchain technology used in an SCM setting is likely to bring about disruptive changes across all business sectors. As a result, traditional relationship models are already changing, primarily as a result of the transactions’ decentralization. Since it is hard to track every occurrence in general, the issue of product delivery operations transparency is important for customers at all levels. Particularly, because the complete network of sellers, marketers, transporters, facilities for storage, and other providers is beyond our control, most end users do not have enough knowledge about the products they purchase and use.
Figure 6. Blockchain for sustainability.

3.1.1. Fiscal Performance

Manufacturers encounter several difficulties, including high wages, a complex economic environment, and swift changes in consumer demands. Manufacturers should successfully and effectively oversee operations and supply chains to address these issues along with economic sustainability. The fiscal performance [50] assesses the financial efficacy of manufacturers through factors including cash flow, liquidity, and investment potential. Moreover, the expenses related to the goods/services design, material cost, labor cost, machinery cost, and return cost substantially impact manufacturers’ financial success. The development of new products should be less expensive, and manufacturers should make better use of resources. Data security and validity are guaranteed by blockchain technology, which lowers the costs incurred by the possibility of tampering.
Additionally, blockchain technology improves information and transaction transparency, fostering stakeholder confidence and openness. Lack of openness and trust increases risk and forces stakeholders to exert more effort to reduce risk, which raises transaction costs. Therefore, blockchain technology ensures data transparency, which improves stakeholder trust, lowers the cost of transactions, and induces profit for businesses [51]. Moreover, the expense of data monitoring and verification is reduced by the ability of blockchain technology to share and validate information in real time across supply chain stakeholders. Manufacturers can improve their financial success by using blockchain technology to analyze competitors’ prices and enhance management performance.

3.1.2. Quality

The terms “quality” and “production quality” refer to the same thing. The frequency of complaints from customers declines with quality [52]. By making data more accessible and facilitating information sharing among stakeholders, Blockchain may significantly improve quality control and assurance procedures and product design quality. Stakeholders can access information on products, vendors, retailers, suppliers, and supply chain operations because of the capacity to trace information through the entire supply chain [53]. As a result, blockchain technology enables clients to validate the quality of items and guarantees that they adhere to standards, are obtained legally, and are produced following quality control requirements.

3.1.3. Ecological Performance and Management

Manufacturers must limit their harmful effects on the environment and optimize their operations and procedures [54]. Sustainable manufacturing techniques are used by businesses to lower their resource usage, boost the efficiency of resources, minimize waste materials, and make goods that can be recycled. The supervision and control of the entire production process—from product development to delivery/disposal—as well as the life cycle of the final product are all part of environmental management. Moreover, it has a substantial positive impact on the economy and society while also protecting the environment. Environmental management practices can benefit greatly from using blockchain technology [55]. Recreating and recalling products is made easier with the data’s traceability, exactness, dependability, and real-time access to data. This may lead to resource savings and a drop in emissions. Customers can now determine if products manufactured by manufacturers are sustainable [56] because of the accountability and traceability made possible by blockchain technology, which forces businesses to adopt green practices and minimize emissions.

3.1.4. Resource Utilization

Managing resources effectively entails efficiently using resources such as water, electrical power, and materials. Sustainability practices decrease the adverse effects of resources on the ecosystem [57]. These practices include the use of renewable energy in production and the effective use of resources. Blockchain can be used to increase the clean energy sector’s sustainability. It also offers distributed strategies for encouraging clean or renewable energy usage. Figure 7 shows the key benefits of using Blockchain for manufacturers’ sustainable performance.
Figure 7. Benefits of blockchain for manufacturers’ sustainable performance.

3.2. Privacy Preservation

Malik et al. [58] implemented a new technique, PrivChain, to safeguard sensitive data using Blockchain. The authors created a smart contract model for automating the process of provenance verification. Moreover, the Zero Knowledge Proof (ZKP)-based cryptographic model is deployed to verify whether the secret information is true or not. Here, the Pedersen commitment-based secret-sharing scheme is utilized to allow the user to validate the secret message. Chanson et al. [59] utilized a blockchain-based Sensor Data Protection System (SDPS) to ensure the privacy and security of business applications. Tran et al. [60] developed a privacy preservation-based blockchain security model for supply chain management. Peng et al. [61] investigated the specific characteristics of blockchain technology for assuring privacy preservation in IoT systems. Unresolved privacy preservation with high efficiency is a major barrier to the widespread use of blockchain technology. Typically, the Blockchain cannot perform highly computational cryptographic procedures because of its limited computing power. To cut costs, the schemes should also lower the volume of transactions registered in the Blockchain.
As a consequence, effective privacy protection strategies [62,63] are greatly anticipated. Nevertheless, it is difficult to ensure adequate privacy preservation due to the decentralized operation, openness, and inefficiency, which ought to be investigated more thoroughly in the decades to come. The main component of developing diverse blockchain-based applications is the smart contract. Maintaining contract privacy is complicated since it calls for miners to confirm the accuracy of execution results [64,65]. All parties other than the contract creators should not have access to the contract itself or the data created during the execution of the contract. Verifiable computing, or reliable hardware, is used in current methods. They do not fit with Blockchain as evaluated since they are either inefficient or reliant on central authorities.

3.3. Challenges of Using Blockchain

Despite the benefits of using blockchain technology, it has some serious challenging issues in adoption and deployment, which are listed in below:
  • Blockchain applications face significant challenges with regard to hardware and energy use. The public key crypto engine and a load dispatcher were coupled to build the blockchain hardware accelerator. The overall transaction speed and output accuracy raise as a result of the load being split among numerous components.
  • Lack of scalability—On that system, many blockchains struggle to accommodate a large number of users. The biggest blockchain platforms saw moderate rates of exchange and increased exchange costs due to a significant increase in clients. Despite the fact that this reality caused extensive research into how to make both these systems and blockchains more equitable, the debate surrounding the suggestions has significantly shifted. The resolution is probably going to take a while.
  • Challenges that still need to be solved include the adaptability of information from blockchain, data security during download, and confidentiality. Peer-to-peer technology have a lot of difficulties executing energy transactions and maintaining information confidentiality. The deployment of blockchain technology was hampered by high resource requirements and transaction costs in energy consumption. A probable answer is the creation of nimble blockchain algorithms enabling instantaneous consensus.

4. Supply Chain Management (SCM) Using Blockchain

The fundamental characteristics of openness, verification, automation, and tokenization are only a few of the essential advantages that blockchain technology [66] offers to enhance the coordination and integration of supply chain systems. The main drawback of conventional SCM systems is insufficient end-to-end transparency. Multiple supply chain people [67,68] can exchange real-time information about the location and condition of an object through blockchain technology. With the help of advanced sensors and the prevalence of IoT, it is now possible to track any quantifiable situation, such as the temperature of a product in the cold chain or the availability of technical equipment in a supply chain. Deploying proactive and reactive risk management strategies is also made easier due to enhanced information accuracy.
Moreover, the Blockchain allows people to monitor assets directly from their source by providing a centralized database with readily accessible and unchangeable records. The integrity of assets encompassing both items and technical apparatus is guaranteed by data on provenance to verify legitimacy [69]. This could enforce ethical sourcing and make it possible to identify or stop counterfeit products and other fraudulent processes. Applications may involve tracking down the owner of an object after a sale for purposes of warranty. It also reduces documentation in international trade by guaranteeing the validity of goods documentation, such as those used in customs clearance processes. The supply chain operating as extremely automated based on predefined rules by fusing automation with transparency and validation using smart contracts. Since data and associated actions or choices are spread across the supply chain, this quickens the process and makes coordination easier [70,71]. To make things more explicit, in the event of a machine failure, the machine might contact the supplier to request a spare part, request restoration, and alert downstream stakeholders to potential disruptions. The following Table 2 shows the list of Blockchain’s contributions in the SCM field. Table 3 shows the analysis of Blockchain adopted supply chain systems and Table 4 presents the comparative analysis of the blockchain techniques.
Table 2. Contributions of Blockchain in SCM.
Table 3. Analysis of Blockchain adopted supply chain systems.
Table 4. Comparative analysis of the blockchain techniques.
The first wave of blockchain technology, often referred to as the Bitcoin blockchain, is made up of cryptocurrency-based network systems. In a Bitcoin network, users are portrayed by the nodes, each with a copy of the same ledger to which blocks of information are sequentially added. The sender, recipient, and transaction amount are only a few examples of the data types that make up a block. Additionally, a block has a hash or message digest that distinguishes it. Each block has a unique hash, calculated from the data in each block, and extra features such as a timestamp. Similar to Bitcoin, Ethereum is a blockchain that runs on cryptocurrencies. It is based on a public network, which can also be used to construct a blockchain with restricted access. Ethereum uses the same PoW protocol as Bitcoin, where the execution of smart contracts allows the decentralized applications to be built on top of Ethereum [99]. It is one of the most crucial features of the Ethereum blockchain. Since it was the very first blockchain platform that launched the idea of smart contracts, it has become quite popular for creating decentralized applications using smart contracts. One of the most cutting-edge blockchain platforms in the Hyperledger series. A blockchain network that is entirely permissioned and tailored for operations requiring private and sensitive information is called Hyperledger Fabric. Granular authorization, secret channels, and zero-knowledge proofs are all supported by hyperledger technology due to their extremely robust privacy and security features. Table 5 and Table 6 compares the conventional blockchain techniques based on the different types of parameters, which includes the techniques of Privacy Preserving Blockchain (PPBC) [100], Federated Learning Blockchain (FLBC) [101], Remote Data Integrity Blockchain (RDI-BC) [102], Support Vector Machine (SVM) –Blockchain [103], Access Control Model Blockchain (ACM-BC) [104], clustering BC [105], Forest Fire Detection Blockchain (FFD-BC) [106], Anonymity Access Control Blockchain (AAC-BC) [107], Medical IoT (MIoT)—Blockchain [108], Privacy-Preserving (PMIoT-BC) [109], and Skin Monitoring IoT-BC (SM-IoT-BC) [110].
Table 5. Qualitative comparative analysis of the blockchain techniques.
Table 6. Comparative analysis of the blockchain techniques using different parameters.

5. Results and Discussion

A comparative analysis has been carried out to validate the efficacy of both conventional and blockchain-enabled SCM strategies. For this assessment, the parameters such as latency, execution time, efficiency, and security level have been considered. As shown in Figure 8, the latency is compared with the Ethereum [111] and hyper ledger smart contract [112] technologies used in SCM systems. Typically, latency is defined as the delay of processing, which must be reduced to achieve more incredible system performance. The results indicate that the hyperledger smart contract provides reduced latency compared to the Ethereum models.
Figure 8. Latency.
Consequently, the efficiency of both conventional and blockchain-enabled SCM frameworks are compared, as shown in Figure 9. The overall system efficiency can be greatly increased when the SCM is incorporated with blockchain technology due to its resilience, consistency, integrity, and quality properties. Moreover, the execution time of the traditional client/server and blockchain-enabled frameworks are compared concerning the number of records, as shown in Figure 10. Then, the security level of SCM is also validated and compared, as shown in Figure 11. The overall analysis indicates that the supply chain process of any industrial application can be improved when it adopts blockchain technology.
Figure 9. Efficiency.
Figure 10. Execution time.
Figure 11. Security level.
Figure 12 compares the blockchain index size of various techniques used in the medical healthcare supply chain systems, where the index size is estimated concerning varying numbers of records. Consequently, Figure 13 compares the efficiency of the blockchain techniques used in the healthcare chain systems. These parameters are computed and compared in this study to determine the efficiency and performance of various blockchain techniques used in supply chain systems. Overall, the study results indicate that the blockchain index size has decreased with an increased number of processing records. Moreover, it is essential to reduce the blockchain techniques’ time and latency to ensure better system performance outcomes.
Figure 12. Analysis based on blockchain index size.
Figure 13. Efficiency analysis.

6. Challenges and Recommendations

Blockchain systems should be versatile to enable the design of verification algorithms to incorporate various supply chain applications. To update the blockchain ledger, participants must apply the verification algorithms to approve or deny the received blocks and transactions. Typically, supply chain systems require product-specific attributes or features and verification codes for validating every transaction. Hence, it is essential to determine the verification models and transaction history for different products before the validators add a legitimate record to the blockchain ledger. Moreover, the significant challenges in adopting blockchain techniques for SCM are needed for more transparency, sustainability, provenance, and privacy. In addition, some other factors, such as complex data collection and management, unsuccessful system implementation, and limited knowledge about emerging trends, are also considered critical challenges of blockchain adoption. We found a significant number of publications in the studied literature, some of which are experimental and others that left blockchain technology beyond the scope. According to the report, there is a growing interest in adopting blockchain technology to address numerous supply chain concerns. Blockchain applications in real-world supply chains have yet to be reported, but they may help us determine this technology’s true potential and find solutions to current supply chain issues.

7. Conclusions

The purpose of this article is to undertake a thorough analysis of the value of employing supply chain systems that can use blockchain technology. Blockchain technology has recently being widely used by businesses to manage their supply networks. Therefore, the main objective of contemporary blockchain projects is to increase supply chain transparency. For instance, the less complicated requirements for product complexity in medical supply chains can already be fully reproduced on the Blockchain. No system is capable of accurately mapping production processes, auditing all assets, or implementing dynamic supply chain changes that aim to increase transparency. Even though the characteristics of raw materials, intermediate components, finished goods, and transformational activities are all very different from one another, they all inevitably interact or come together at some point in complex industrial supply chains. A strong smart contract-based architecture could be a significant step towards bringing the advantages of blockchain technology to complex industrial networks. In order to examine the technical implementation aspects of SCM systems made possible by Blockchain, this article use rigorous techniques. For the purpose of ensuring the security of industrial applications, we largely concentrated on developing SCM systems with blockchain capabilities. In this study, the special characteristics of blockchain technology have been used to analyze its major results in the SCM. Several security criteria are utilized to compare and validate the efficacy of the blockchain approaches used in SCM. Moreover, in order to compare the traditional SCM and blockchain-enabled SCM systems, common factors such as latency, execution time, efficiency, and security level are taken into account. Blockchain is a new revolutionary technology with unmatched benefits including decentralized governance, transparency, autonomy, and security. The literature on extending blockchain technology to the business applications is still sparse, and studies on the areas of concern in industrial sector are extremely scarce, despite the fact that many recent studies have examined the practical uses and challenges of blockchain technology in the supply chain field. We made a courageous attempt to research the use of blockchain technology in SCM. This review’s conclusion is that the Blockchain is thought to be the most effective solution for enhancing the SCM systems used in all industrial applications, including healthcare, automotive, and other fields. By using a new cryptographic integrated blockchain technique for healthcare applications, this work can be improved in the future. In order to establish a blockchain-based network system and address business points of discomfort in the industrial supply chain, our research will investigate how to best utilize blockchain technology.

Author Contributions

Conceptualization, M.U. and S.S.; methodology, M.O.; software, S.U.A. and M.A.; validation, M.U., S.S. and A.O.K. (Adil O. Khadidos); formal analysis, M.O. and M.A.; investigation, A.O.K. (Alaa O. Khadidos) and A.O.K. (Adil O. Khadidos); resources, S.U.A.; data curation, S.S.; writing—original draft preparation, M.U. and S.S.; writing—review and editing, S.S and M.O.; visualization, S.U.A. and M.A.; supervision, M.U.; project administration, S.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by Princess Nourah bint Abdulrahman University Researchers Supporting Project Number (PNURSP2023R97), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.

Data Availability Statement

Data will be made available upon request.

Acknowledgments

Princess Nourah bint Abdulrahman University Researchers Supporting Project Number (PNURSP2023R97), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Cai, C.; Hao, X.; Wang, K.; Dong, X. The Impact of Perceived Benefits on Blockchain Adoption in Supply Chain Management. Sustainability 2023, 15, 6634. [Google Scholar] [CrossRef]
  2. Fernandes, L.; Rosado da Cruz, A.M.; Cruz, E.F.; Lopes, S.I. A Review on Adopting Blockchain and IoT Technologies for Fostering the Circular Economy in the Electrical and Electronic Equipment Value Chain. Sustainability 2023, 15, 4574. [Google Scholar] [CrossRef]
  3. Khor, J.H.; Sidorov, M.; Zulqarnain, S.A.B. Scalable Lightweight Protocol for Interoperable Public Blockchain-Based Supply Chain Ownership Management. Sensors 2023, 23, 3433. [Google Scholar] [CrossRef]
  4. Wong, S.; Yeung, J.K.-W.; Lau, Y.-Y.; Kawasaki, T. A Case Study of How Maersk Adopts Cloud-Based Blockchain Integrated with Machine Learning for Sustainable Practices. Sustainability 2023, 15, 7305. [Google Scholar] [CrossRef]
  5. Kashem, M.A.; Shamsuddoha, M.; Nasir, T.; Chowdhury, A.A. Supply Chain Disruption versus Optimization: A Review on Artificial Intelligence and Blockchain. Knowledge 2023, 3, 80–96. [Google Scholar] [CrossRef]
  6. Fiore, M.; Capodici, A.; Rucci, P.; Bianconi, A.; Longo, G.; Ricci, M.; Sanmarchi, F.; Golinelli, D. Blockchain for the Healthcare Supply Chain: A Systematic Literature Review. Appl. Sci. 2023, 13, 686. [Google Scholar] [CrossRef]
  7. Song, J.; Yan, X. Impact of Government Subsidies, Competition, and Blockchain on Green Supply Chain Decisions. Sustainability 2023, 15, 3633. [Google Scholar] [CrossRef]
  8. Dietrich, F.; Louw, L.; Palm, D. Blockchain-Based Traceability Architecture for Mapping Object-Related Supply Chain Events. Sensors 2023, 23, 1410. [Google Scholar] [CrossRef]
  9. Li, T.; Xu, X.; Liu, W.; Shi, C. Pricing Decision of Three-Level Agricultural Supply Chain Based on Blockchain Traceability and Altruistic Preference. Sustainability 2023, 15, 3304. [Google Scholar] [CrossRef]
  10. Rocha, G.d.S.R.; Mühl, D.D.; Chingamba, H.A.; de Oliveira, L.; Talamini, E. Blockchain, Quo Vadis? Recent Changes in Perspectives on the Application of Technology in Agribusiness. Future Internet 2023, 15, 38. [Google Scholar] [CrossRef]
  11. Wei, J.; Yi, X.; Yang, X.; Liu, Y. Blockchain-Based Design of a Government Incentive Mechanism for Manufacturing Supply Chain Data Governance. Sustainability 2023, 15, 6968. [Google Scholar] [CrossRef]
  12. Bialas, C.; Bechtsis, D.; Aivazidou, E.; Achillas, C.; Aidonis, D. A Holistic View on the Adoption and Cost-Effectiveness of Technology-Driven Supply Chain Management Practices in Healthcare. Sustainability 2023, 15, 5541. [Google Scholar] [CrossRef]
  13. Viswanadham, Y.V.R.S.; Jayavel, K. A Framework for Data Privacy Preserving in Supply Chain Management Using Hybrid Meta-Heuristic Algorithm with Ethereum Blockchain Technology. Electronics 2023, 12, 1404. [Google Scholar] [CrossRef]
  14. Iranmanesh, M.; Maroufkhani, P.; Asadi, S.; Ghobakhloo, M.; Dwivedi, Y.K.; Tseng, M.-L. Effects of supply chain transparency, alignment, adaptability, and agility on blockchain adoption in supply chain among SMEs. Comput. Ind. Eng. 2023, 176, 108931. [Google Scholar] [CrossRef]
  15. Raja Santhi, A.; Muthuswamy, P. Influence of blockchain technology in manufacturing supply chain and logistics. Logistics 2022, 6, 15. [Google Scholar] [CrossRef]
  16. Xu, X.; He, Y. Blockchain application in modern logistics information sharing: A review and case study analysis. Prod. Plan. Control. 2022, 1–15. [Google Scholar] [CrossRef]
  17. Nanda, S.K.; Panda, S.K.; Dash, M. Medical supply chain integrated with blockchain and IoT to track the logistics of medical products. Multimed. Tools Appl. 2023, 1–23. [Google Scholar] [CrossRef]
  18. Tiwari, S.; Sharma, P.; Choi, T.-M.; Lim, A. Blockchain and third-party logistics for global supply chain operations: Stakeholders’ perspectives and decision roadmap. Transp. Res. Part E Logist. Transp. Rev. 2023, 170, 103012. [Google Scholar] [CrossRef]
  19. Karuppiah, K.; Sankaranarayanan, B.; Ali, S.M. A decision-aid model for evaluating challenges to blockchain adoption in supply chains. Int. J. Logist. Res. Appl. 2023, 26, 257–278. [Google Scholar] [CrossRef]
  20. Zhang, T.; Dong, P.; Chen, X.; Gong, Y. The impacts of blockchain adoption on a dual-channel supply chain with risk-averse members. Omega 2023, 114, 102747. [Google Scholar] [CrossRef]
  21. Zhang, Q.; Jiang, X.; Zheng, Y. Blockchain adoption and gray markets in a global supply chain. Omega 2023, 115, 102785. [Google Scholar] [CrossRef]
  22. Gong, B.; Zhang, H.; Gao, Y.; Liu, Z. Blockchain adoption and channel selection strategies in a competitive remanufacturing supply chain. Comput. Ind. Eng. 2023, 175, 108829. [Google Scholar] [CrossRef]
  23. Kafeel, H.; Kumar, V.; Duong, L. Blockchain in Supply Chain Management: A synthesis of barriers and enablers for managers. Int. J. Math. Eng. Manag. Sci. 2023, 8, 15. [Google Scholar] [CrossRef]
  24. Liu, W.; Liu, X.; Shi, X.; Hou, J.; Shi, V.; Dong, J. Collaborative adoption of blockchain technology: A supply chain contract perspective. Front. Eng. Manag. 2023, 10, 121–142. [Google Scholar] [CrossRef]
  25. da Silva, J.O.D.; dos Santos, D.R. Study of Blockchain Application in the Logistics Industry. Theor. Econ. Lett. 2022, 12, 321–342. [Google Scholar] [CrossRef]
  26. Selvarajan, S.; Srivastava, G.; Khadidos, A.O.; Khadidos, A.O.; Baza, M.; Alshehri, A.; Lin, J.C.-W. An artificial intelligence lightweight blockchain security model for security and privacy in IIoT systems. J. Cloud Comput. 2023, 12, 38. [Google Scholar] [CrossRef]
  27. Alhalabi, W.; Al-Rasheed, A.; Manoharan, H.; Alabdulkareem, E.; Alduailij, M.; Alduailij, M.; Selvarajan, S. Distinctive Measurement Scheme for Security and Privacy in Internet of Things Applications Using Machine Learning Algorithms. Electronics 2023, 12, 747. [Google Scholar] [CrossRef]
  28. Samadhiya, A.; Kumar, A.; Agrawal, R.; Kazancoglu, Y.; Agrawal, R. Reinventing Reverse Logistics through Blockchain Technology: A Comprehensive Review and Future Research Propositions. In Supply Chain Forum: An International Journal; Taylor & Francis: Oxfordshire, UK, 2023; pp. 81–102. [Google Scholar]
  29. Saini, P.; Iqbal, U.; Ahmed, M.; Kaur, D. Blockchain for Agri-Food Supply Chain and Logistics Management. In Blockchain Technologies and Applications for Digital Governance; IGI Global: Hershey, PA, USA, 2022; pp. 127–150. [Google Scholar]
  30. Fu, J.; Cao, B.; Wang, X.; Zeng, P.; Liang, W.; Liu, Y. BFS: A blockchain-based financing scheme for logistics company in supply chain finance. Connect. Sci. 2022, 34, 1929–1955. [Google Scholar] [CrossRef]
  31. Cole, R.; Stevenson, M.; Aitken, J. Blockchain technology: Implications for operations and supply chain management. Supply Chain. Manag. Int. J. 2019, 24, 469–483. [Google Scholar] [CrossRef]
  32. Benčić, F.M.; Skočir, P.; Žarko, I.P. DL-Tags: DLT and smart tags for decentralized, privacy-preserving, and verifiable supply chain management. IEEE Access 2019, 7, 46198–46209. [Google Scholar] [CrossRef]
  33. Jabbar, S.; Lloyd, H.; Hammoudeh, M.; Adebisi, B.; Raza, U. Blockchain-enabled supply chain: Analysis, challenges, and future directions. Multimed. Syst. 2021, 27, 787–806. [Google Scholar] [CrossRef]
  34. Wan, P.K.; Huang, L.; Holtskog, H. Blockchain-enabled information sharing within a supply chain: A systematic literature review. IEEE Access 2020, 8, 49645–49656. [Google Scholar] [CrossRef]
  35. AlShamsi, M.; Al-Emran, M.; Shaalan, K. A systematic review on blockchain adoption. Appl. Sci. 2022, 12, 4245. [Google Scholar] [CrossRef]
  36. Ahmad, R.W.; Salah, K.; Jayaraman, R.; Yaqoob, I.; Omar, M. Blockchain in oil and gas industry: Applications, challenges, and future trends. Technol. Soc. 2022, 68, 101941. [Google Scholar] [CrossRef]
  37. Samad, T.A.; Sharma, R.; Ganguly, K.K.; Wamba, S.F.; Jain, G. Enablers to the adoption of blockchain technology in logistics supply chains: Evidence from an emerging economy. Ann. Oper. Res. 2022, 327, 251–291. [Google Scholar] [CrossRef]
  38. Liu, X.; Wang, Y.; Wang, J.; Xu, W. Supply chain financial logistics supervision system based on blockchain technology. J. Ambient. Intell. Humaniz. Comput. 2022, 14, 11059–11069. [Google Scholar] [CrossRef]
  39. Hu, H.; Xu, J.; Liu, M.; Lim, M.K. Vaccine supply chain management: An intelligent system utilizing blockchain, IoT and machine learning. J. Bus. Res. 2023, 156, 113480. [Google Scholar] [CrossRef] [PubMed]
  40. Mukherjee, S.; Baral, M.M.; Lavanya, B.L.; Nagariya, R.; Singh Patel, B.; Chittipaka, V. Intentions to adopt the blockchain: Investigation of the retail supply chain. Manag. Decis. 2023, 61, 1320–1351. [Google Scholar] [CrossRef]
  41. Kumar, S.; Barua, M.K. Exploring the hyperledger blockchain technology disruption and barriers of blockchain adoption in petroleum supply chain. Resour. Policy 2023, 81, 103366. [Google Scholar] [CrossRef]
  42. Sreerakhi, V.; Balagopal, N.; Mohan, A. Transforming supply chain network and logistics using blockchain-a survey. Int. J. Bus. Inf. Syst. 2022, 39, 193–218. [Google Scholar] [CrossRef]
  43. Sunny, J.; Pillai, V.M.; Nath, H.V.; Shah, K.; Ghoradkar, P.P.; Philip, M.J.; Shirswar, M. Blockchain-enabled beer game: A software tool for familiarizing the application of blockchain in supply chain management. Ind. Manag. Data Syst. 2022, 122, 1025–1055. [Google Scholar] [CrossRef]
  44. Chang, A.; El-Rayes, N.; Shi, J. Blockchain technology for supply chain management: A comprehensive review. FinTech 2022, 1, 191–205. [Google Scholar] [CrossRef]
  45. Selvarajan, S.; Mouratidis, H. A quantum trust and consultative transaction-based blockchain cybersecurity model for healthcare systems. Sci. Rep. 2023, 13, 7107. [Google Scholar] [CrossRef]
  46. Fernandez-Vazquez, S.; Rosillo, R.; de la Fuente, D.; Puente, J. Blockchain in sustainable supply chain management: An application of the analytical hierarchical process (AHP) methodology. Bus. Process Manag. J. 2022, 28, 1277–1300. [Google Scholar] [CrossRef]
  47. Zhu, Q.; Bai, C.; Sarkis, J. Blockchain technology and supply chains: The paradox of the atheoretical research discourse. Transp. Res. Part E Logist. Transp. Rev. 2022, 164, 102824. [Google Scholar] [CrossRef]
  48. Liu, J.; Yeoh, G.; Gao, L.; Gao, S.; Ngwenyama, O. Designing a Secure Blockchain-Based Supply Chain Management Framework. J. Comput. Inf. Syst. 2023, 63, 592–607. [Google Scholar] [CrossRef]
  49. Gürpinar, T.; Große, N.; Schwarzer, M.; Burov, E.; Stammes, R.; Ioannidis, P.A.; Krämer, L.; Ahlbäumer, R.; Henke, M. Blockchain Technology in Supply Chain Management—A Discussion of Current and Future Research Topics; Springer International Publishing: Cham, Switzerland, 2021; pp. 482–503. [Google Scholar]
  50. Bag, S.; Rahman, M.S.; Gupta, S.; Wood, L.C. Understanding and Predicting the Determinants of Blockchain Technology Adoption and SMEs’ Performance. Int. J. Logist. Manag. 2022; ahead-of-print. [Google Scholar] [CrossRef]
  51. Goodarzian, F.; Abraham, A.; Ghasemi, P. Chapter 14—Key Success Factors for Blockchain Implementation in Supply Chain Management. In Blockchain in a Volatile-Uncertain-Complex-Ambiguous World; Mathiyazhagan, K., Sreedharan, V.R., Mathivathanan, D., Sunder, M.V., Eds.; Elsevier: Amsterdam, The Netherlands, 2023; pp. 219–231. [Google Scholar] [CrossRef]
  52. Xu, X.; Tatge, L.; Xu, X.; Liu, Y. Blockchain applications in the supply chain management in German automotive industry. Prod. Plan. Control. 2022, 1–15. [Google Scholar] [CrossRef]
  53. Ramkumar, G.; Kasat, K.; Khader, R.A.; Muhammed, P.K.N.; Raghu, T.; Chhabra, S. Quality enhanced framework through integration of blockchain with supply chain management. Meas. Sens. 2022, 24, 100462. [Google Scholar] [CrossRef]
  54. Hong, L.; Hales, D.N. Blockchain performance in supply chain management: Application in blockchain integration companies. Ind. Manag. Data Syst. 2021, 121, 1969–1996. [Google Scholar] [CrossRef]
  55. Park, A.; Li, H. The Effect of Blockchain Technology on Supply Chain Sustainability Performances. Sustainability 2021, 13, 1726. [Google Scholar] [CrossRef]
  56. Benstead, A.V.; Mwesiumo, D.; Moradlou, H.; Boffelli, A. Entering the world behind the clothes that we wear: Practical applications of blockchain technology. Prod. Plan. Control. 2022, 1–18. [Google Scholar] [CrossRef]
  57. Rehman Khan, S.A.; Yu, Z.; Sarwat, S.; Godil, D.I.; Amin, S.; Shujaat, S. The role of block chain technology in circular economy practices to improve organisational performance. Int. J. Logist. Res. Appl. 2022, 25, 605–622. [Google Scholar] [CrossRef]
  58. Malik, S.; Dedeoglu, V.; Kanhere, S.S.; Jurdak, R. Privchain: Provenance and privacy preservation in blockchain enabled supply chains. In Proceedings of the 2022 IEEE International Conference on Blockchain (Blockchain), Espoo, Finland, 22–25 August 2022; pp. 157–166. [Google Scholar]
  59. Chanson, M.; Bogner, A.; Bilgeri, D.; Fleisch, E.; Wortmann, F. Blockchain for the IoT: Privacy-preserving protection of sensor data. J. Assoc. Inf. Syst. 2019, 20, 1274–1309. [Google Scholar] [CrossRef]
  60. Tran, Q.N.; Turnbull, B.P.; Wu, H.-T.; De Silva, A.; Kormusheva, K.; Hu, J. A survey on privacy-preserving blockchain systems (ppbs) and a novel ppbs-based framework for smart agriculture. IEEE Open J. Comput. Soc. 2021, 2, 72–84. [Google Scholar] [CrossRef]
  61. Peng, L.; Feng, W.; Yan, Z.; Li, Y.; Zhou, X.; Shimizu, S. Privacy preservation in permissionless blockchain: A survey. Digit. Commun. Netw. 2021, 7, 295–307. [Google Scholar] [CrossRef]
  62. Sharma, P.; Namasudra, S.; Chilamkurti, N.; Kim, B.-G.; Crespo, R.G. Blockchain-Based Privacy Preservation for IoT-Enabled Healthcare System. ACM Trans. Sen. Netw. 2023, 19, 56. [Google Scholar] [CrossRef]
  63. Pournader, M.; Shi, Y.; Seuring, S.; Koh, S.C.L. Blockchain applications in supply chains, transport and logistics: A systematic review of the literature. Int. J. Prod. Res. 2020, 58, 2063–2081. [Google Scholar] [CrossRef]
  64. Banupriya, S.; Kottursamy, K.; Bashir, A.K. Privacy-preserving hierarchical deterministic key generation based on a lattice of rings in public blockchain. Peer Peer Netw. Appl. 2021, 14, 2813–2825. [Google Scholar] [CrossRef]
  65. Malik, S.; Dedeoglu, V.; Kanhere, S.S.; Jurdak, R.; Paik, H.Y. Traceable, trustworthy and privacy preserving agri-food supply chains. In Proceedings of the 2021 Third IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA), Virtual, 13–15 December 2021; pp. 313–320. [Google Scholar]
  66. Rizwan, A.; Karras, D.A.; Kumar, J.; Sánchez-Chero, M.; Mogollón Taboada, M.M.; Altamirano, G.C. An Internet of Things (IoT) Based Block Chain Technology to Enhance the Quality of Supply Chain Management (SCM). Math. Probl. Eng. 2022, 2022, 9679050. [Google Scholar] [CrossRef]
  67. Aslam, J.; Saleem, A.; Khan, N.T.; Kim, Y.B. Factors influencing blockchain adoption in supply chain management practices: A study based on the oil industry. J. Innov. Knowl. 2021, 6, 124–134. [Google Scholar] [CrossRef]
  68. Dujak, D.; Sajter, D. Blockchain Applications in Supply Chain. In SMART Supply Network; Kawa, A., Maryniak, A., Eds.; Springer International Publishing: Cham, Switzerland, 2019; pp. 21–46. [Google Scholar] [CrossRef]
  69. Hasan, A.S.M.T.; Sabah, S.; Haque, R.U.; Daria, A.; Rasool, A.; Jiang, Q. Towards Convergence of IoT and Blockchain for Secure Supply Chain Transaction. Symmetry 2022, 14, 64. [Google Scholar] [CrossRef]
  70. Kaur, A.; Singh, G.; Kukreja, V.; Sharma, S.; Singh, S.; Yoon, B. Adaptation of IoT with Blockchain in Food Supply Chain Management: An Analysis-Based Review in Development, Benefits and Potential Applications. Sensors 2022, 22, 8174. [Google Scholar] [CrossRef] [PubMed]
  71. Sudha, V.; Kalaiselvi, R.; Shanmughasundaram, P. Blockchain based solution to improve the Supply Chain Management in Indian agriculture. In Proceedings of the 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS), Coimbatore, India, 25–27 March 2021; pp. 1289–1292. [Google Scholar]
  72. Gökalp, E.; Gökalp, M.O.; Çoban, S. Blockchain-based supply chain management: Understanding the determinants of adoption in the context of organizations. Inf. Syst. Manag. 2022, 39, 100–121. [Google Scholar] [CrossRef]
  73. Huang, L.; Zhen, L.; Wang, J.; Zhang, X. Blockchain implementation for circular supply chain management: Evaluating critical success factors. Ind. Mark. Manag. 2022, 102, 451–464. [Google Scholar] [CrossRef]
  74. Bayramova, A.; Edwards, D.J.; Roberts, C. The role of blockchain technology in augmenting supply chain resilience to cybercrime. Buildings 2021, 11, 283. [Google Scholar] [CrossRef]
  75. Bag, S.; Viktorovich, D.A.; Sahu, A.K.; Sahu, A.K. Barriers to adoption of blockchain technology in green supply chain management. J. Glob. Oper. Strateg. Sourc. 2020, 14, 104–133. [Google Scholar] [CrossRef]
  76. ElMessiry, M.; ElMessiry, A. Blockchain framework for textile supply chain management: Improving transparency, traceability, and quality. In Proceedings of the International Conference on Blockchain, Seattle, WA, USA, 25–30 June 2018; pp. 213–227. [Google Scholar]
  77. Lin, S.-Y.; Zhang, L.; Li, J.; Ji, L.-l.; Sun, Y. A survey of application research based on blockchain smart contract. Wirel. Netw. 2022, 28, 635–690. [Google Scholar] [CrossRef]
  78. Li, J.; Kassem, M. Applications of distributed ledger technology (DLT) and Blockchain-enabled smart contracts in construction. Autom. Constr. 2021, 132, 103955. [Google Scholar] [CrossRef]
  79. Wu, H.; Cao, J.; Yang, Y.; Tung, C.L.; Jiang, S.; Tang, B.; Liu, Y.; Wang, X.; Deng, Y. Data Management in Supply Chain Using Blockchain: Challenges and a Case Study. In Proceedings of the 2019 28th International Conference on Computer Communication and Networks (ICCCN), Valencia, Spain, 29 July–1 August 2019; pp. 1–8. [Google Scholar]
  80. Wong, S.; Yeung, J.-K.-W.; Lau, Y.-Y.; So, J. Technical Sustainability of Cloud-Based Blockchain Integrated with Machine Learning for Supply Chain Management. Sustainability 2021, 13, 8270. [Google Scholar] [CrossRef]
  81. Leng, J.; Ruan, G.; Jiang, P.; Xu, K.; Liu, Q.; Zhou, X.; Liu, C. Blockchain-empowered sustainable manufacturing and product lifecycle management in industry 4.0: A survey. Renew. Sustain. Energy Rev. 2020, 132, 110112. [Google Scholar] [CrossRef]
  82. Ghimire, T.; Joshi, A.; Sen, S.; Kapruan, C.; Chadha, U.; Selvaraj, S.K. Blockchain in additive manufacturing processes: Recent trends & its future possibilities. Mater. Today Proc. 2022, 50, 2170–2180. [Google Scholar] [CrossRef]
  83. Queiroz, M.M.; Fosso Wamba, S.; De Bourmont, M.; Telles, R. Blockchain adoption in operations and supply chain management: Empirical evidence from an emerging economy. Int. J. Prod. Res. 2021, 59, 6087–6103. [Google Scholar] [CrossRef]
  84. Stroumpoulis, A.; Kopanaki, E.; Karaganis, G. Examining the Relationship between Information Systems, Sustainable SCM, and Competitive Advantage. Sustainability 2021, 13, 11715. [Google Scholar] [CrossRef]
  85. Weking, J.; Mandalenakis, M.; Hein, A.; Hermes, S.; Böhm, M.; Krcmar, H. The impact of blockchain technology on business models—A taxonomy and archetypal patterns. Electron. Mark. 2020, 30, 285–305. [Google Scholar] [CrossRef]
  86. Seidenfad, K.; Hoiss, T.; Lechner, U. A Blockchain to Bridge Business Information Systems and Industrial Automation Environments in Supply Chains; Springer International Publishing: Cham, Switzerland, 2021; pp. 22–40. [Google Scholar]
  87. Petratos, P.N.; Faccia, A. Fake news, misinformation, disinformation and supply chain risks and disruptions: Risk management and resilience using blockchain. Ann. Oper. Res. 2023, 327, 735–762. [Google Scholar] [CrossRef] [PubMed]
  88. Deiva Ganesh, A.; Kalpana, P. Future of artificial intelligence and its influence on supply chain risk management—A systematic review. Comput. Ind. Eng. 2022, 169, 108206. [Google Scholar] [CrossRef]
  89. Liu, Z.-Y.; Guo, P.-T. Supply Chain Decision Model Based on Blockchain: A Case Study of Fresh Food E-Commerce Supply Chain Performance Improvement. Discret. Dyn. Nat. Soc. 2021, 2021, 5795547. [Google Scholar] [CrossRef]
  90. Prajapati, D.; Jauhar, S.K.; Gunasekaran, A.; Kamble, S.S.; Pratap, S. Blockchain and IoT embedded sustainable virtual closed-loop supply chain in E-commerce towards the circular economy. Comput. Ind. Eng. 2022, 172, 108530. [Google Scholar] [CrossRef]
  91. Elghaish, F.; Abrishami, S.; Hosseini, M.R. Integrated project delivery with blockchain: An automated financial system. Autom. Constr. 2020, 114, 103182. [Google Scholar] [CrossRef]
  92. Elghaish, F.; Hosseini, M.R.; Matarneh, S.; Talebi, S.; Wu, S.; Martek, I.; Poshdar, M.; Ghodrati, N. Blockchain and the ‘Internet of Things’ for the construction industry: Research trends and opportunities. Autom. Constr. 2021, 132, 103942. [Google Scholar] [CrossRef]
  93. Oh, J.; Choi, Y.; In, J. A conceptual framework for designing blockchain technology enabled supply chains. Int. J. Logist. Res. Appl. 2022, 1–19. [Google Scholar] [CrossRef]
  94. Toapanta, S.M.T.; Gallegos, L.E.M.; Villalta, M.G.G.; Saltos, N.S.M. A Hyperledger Technology Approach to Mitigate the Risks of the Database in Foreign Trade Management. In Proceedings of the 2020 3rd International Conference on Information and Computer Technologies (ICICT), San Jose, CA, USA, 9–12 March 2020; pp. 313–319. [Google Scholar]
  95. Wang, S.; Ding, W.; Li, J.; Yuan, Y.; Ouyang, L.; Wang, F.Y. Decentralized Autonomous Organizations: Concept, Model, and Applications. IEEE Trans. Comput. Soc. Syst. 2019, 6, 870–878. [Google Scholar] [CrossRef]
  96. Härer, F.; Fill, H.G. Decentralized Attestation of Conceptual Models Using the Ethereum Blockchain. In Proceedings of the 2019 IEEE 21th Conference on Business Informatics (CBI), Moscow, Russia, 15–17 July 2019; pp. 104–113. [Google Scholar]
  97. Wamba, S.F.; Queiroz, M.M. Blockchain in the Operations and Supply Chain Management: Benefits, Challenges and Future Research Opportunities; Elsevier: Amsterdam, The Netherlands, 2020; Volume 52, p. 102064. [Google Scholar]
  98. Vo, K.T.; Nguyen-Thi, A.-T.; Nguyen-Hoang, T.-A. Building sustainable food supply chain management system based on hyperledger fabric blockchain. In Proceedings of the 2021 15th International Conference on Advanced Computing and Applications (ACOMP), Virtual, 24–26 November 2021; pp. 9–16. [Google Scholar]
  99. Liang, W.; Ji, N. Privacy challenges of IoT-based blockchain: A systematic review. Clust. Comput. 2022, 25, 2203–2221. [Google Scholar] [CrossRef]
  100. Bernabe, J.B.; Canovas, J.L.; Hernandez-Ramos, J.L.; Moreno, R.T.; Skarmeta, A. Privacy-Preserving Solutions for Blockchain: Review and Challenges. IEEE Access 2019, 7, 164908–164940. [Google Scholar] [CrossRef]
  101. Zhu, J.; Cao, J.; Saxena, D.; Jiang, S.; Ferradi, H. Blockchain-empowered Federated Learning: Challenges, Solutions, and Future Directions. ACM Comput. Surv. 2023, 55, 240. [Google Scholar] [CrossRef]
  102. Zhao, Q.; Chen, S.; Liu, Z.; Baker, T.; Zhang, Y. Blockchain-based privacy-preserving remote data integrity checking scheme for IoT information systems. Inf. Process. Manag. 2020, 57, 102355. [Google Scholar] [CrossRef]
  103. Shen, M.; Zhang, J.; Zhu, L.; Xu, K.; Tang, X. Secure SVM Training Over Vertically-Partitioned Datasets Using Consortium Blockchain for Vehicular Social Networks. IEEE Trans. Veh. Technol. 2020, 69, 5773–5783. [Google Scholar] [CrossRef]
  104. Thwin, T.T.; Vasupongayya, S. Blockchain-Based Access Control Model to Preserve Privacy for Personal Health Record Systems. Secur. Commun. Netw. 2019, 2019, 8315614. [Google Scholar] [CrossRef]
  105. Zhang, Y.; Wang, J.; Luo, J. Heuristic-Based Address Clustering in Bitcoin. IEEE Access 2020, 8, 210582–210591. [Google Scholar] [CrossRef]
  106. He, Z.; Turner, P. Blockchain Applications in Forestry: A Systematic Literature Review. Appl. Sci. 2022, 12, 3723. [Google Scholar] [CrossRef]
  107. Ouaddah, A. Chapter Eight—A Blockchain based access Control Framework for the Security and Privacy of IoT with Strong Anonymity Unlinkability and Intractability Guarantees. In Advances in Computers; Kim, S., Deka, G.C., Zhang, P., Eds.; Elsevier: Amsterdam, The Netherlands, 2019; Volume 115, pp. 211–258. [Google Scholar]
  108. Mozumder, M.A.I.; Sheeraz, M.M.; Athar, A.; Aich, S.; Kim, H.C. Overview: Technology Roadmap of the Future Trend of Metaverse based on IoT, Blockchain, AI Technique, and Medical Domain Metaverse Activity. In Proceedings of the 2022 24th International Conference on Advanced Communication Technology (ICACT), Pyeongchang, Republic of Korea, 13–16 February 2022; pp. 256–261. [Google Scholar]
  109. Zhao, Y.; Zhao, J.; Jiang, L.; Tan, R.; Niyato, D.; Li, Z.; Lyu, L.; Liu, Y. Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices. IEEE Internet Things J. 2021, 8, 1817–1829. [Google Scholar] [CrossRef]
  110. Juyal, S.; Sharma, S.; Harbola, A.; Shukla, A.S. Privacy and Security of IoT based Skin Monitoring System using Blockchain Approach. In Proceedings of the 2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), Bangalore, India, 2–4 July 2020; pp. 1–5. [Google Scholar]
  111. Kechagias, E.P.; Gayialis, S.P.; Papadopoulos, G.A.; Papoutsis, G. An Ethereum-Based Distributed Application for Enhancing Food Supply Chain Traceability. Foods 2023, 12, 1220. [Google Scholar] [CrossRef] [PubMed]
  112. Alqarni, M.A.; Alkatheiri, M.S.; Chauhdary, S.H.; Saleem, S. Use of Blockchain-Based Smart Contracts in Logistics and Supply Chains. Electronics 2023, 12, 1340. [Google Scholar] [CrossRef]
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