Ari Akbar, Djamaliyah Djamaliyah, Nur Aisyah, Mochammad Isa Anshori
The main objective of this study is to identify, analyze, and synthesize literature related to blockchain integration in leadership practices. The search methodology was conducted through major electronic databases with relevant keywords, resulting in 45 articles that met the inclusion criteria for further analysis. The results of the analysis revealed five main themes, namely Decentralization of Leadership Authority, Transparency and Accountability, DAO (Decentralized Autonomous Organization) Leadership Model, Transformation of Trust in Leadership, and Challenges of Implementation and Adoption. Blockchain technology has the potential to transform traditional leadership systems by creating a more transparent, efficient, and distributed trust-based environment. However, the implementation of blockchain-based policies faces various challenges, including technical barriers, organizational culture, and regulatory barriers. This study contributes to the understanding of how blockchain technology can change the dynamics of leadership and organizational governance. In addition, the findings of this study offer insights for further research in developing more adaptive, innovative, and sustainable leadership models in the digital era.
The blockchain based smart contracts allow the creation of peer-to-peer lending in a decentralized finance model called DeFi. While Aave, Compound, and MakerDAO make it easier to gain access to capital and do away with middlemen, security breaches are highly likely to occur. This study analyzes the smart contract vulnerabilities such as reentrancy attacks, oracle manipulation, flash loan exploits, are systematically highlighted and their impact on projects in the market. Furthermore, it completes assessment beyond the security focus of liquidity volatility, regulatory uncertainty and fragmented risk management framework. A systematic literature review was adopted in the study with peer reviewed journal, industry report as well as case studies of past DeFi exploits. The key vulnerabilities, risk assessment methods, and mitigation frameworks are dealt as a theme. According to findings, although smart contract security has improved, DeFi is still very prone to exploitation for the lack of centralized oversight and standardised security measures. The study also brings our attention to the fact that risks in smart contract need continuous smart contract audits, formal verification schemes, and decentralized insurance mechanisms as well as regulatory collaboration. For the sustainable growth of DeFi lending platforms, such a balance should be made possible between technological security measures and improved governance and regulatory frameworks. The increased security mechanisms will increase the user trust and make decentralized lending an alternative to traditional financial systems.
This study investigates the impact of blockchain technology on financial data management practices in Jordanian organizations. The research aims to understand how blockchain influences key aspects such as efficiency, security, transparency, auditability, data integrity, fraud reduction, and cost efficiency. A quantitative approach was employed, using Principal Component Analysis (PCA) and Factor Analysis to extract and analyze significant components from the dataset. The PCA results revealed that the first seven components explained approximately 89.63% of the total variance, with the strongest loadings on efficiency (14.56%), security (13.59%), and transparency (13.10%). Factor analysis further reinforced these findings, highlighting the positive relationship between blockchain adoption and improvements in these key areas. Despite the benefits, implementation challenges emerged as significant moderating factors, impacting the extent to which organizations can fully leverage blockchain technology. The study concludes that blockchain has the potential to transform financial data management, particularly in improving efficiency, security, and transparency. However, organizations must address implementation challenges to fully realize these benefits.
Blockchain and machine learning are transformative technologies with the potential to significantly enhance the healthcare sector by addressing critical challenges such as operational efficiency, data security, and privacy. As a distributed ledger technology, blockchain enables secure and decentralized data sharing among healthcare systems, facilitating the safe exchange of sensitive patient information between hospitals, diagnostic labs, pharmaceutical companies, and patients. Blockchain applications in healthcare can improve patient privacy protection, electronic health record (EHR) management, and counterfeit drug tracking within pharmaceutical supply chains. When integrated with machine learning, blockchain fosters the development of advanced, patient-centric healthcare solutions. Its decentralized architecture ensures data integrity, prevents manipulation, and enhances security, while AI-powered analytics enable personalized medicine, real-time decision-making, and operational cost reduction. This synergy is expected to revolutionize healthcare by enabling applications such as secure medical data storage, pharmaceutical supply chain transparency, remote patient monitoring, and fraud prevention in clinical trials. By leveraging the complementary strengths of these technologies, healthcare systems worldwide can improve patient outcomes, enhance efficiency, and establish a more transparent and resilient infrastructure.
Purpose This study aims to empirically examine and analyze the technological factors that influence the adoption of blockchain technology, particularly within the financial industry. It also predicts how adopting blockchain technology may affect financial firms’ performance from a multiple-measure perspective. Design/methodology/approach The research model was validated using quantitative data collected from 144 decision-makers working in Jordanian financial firms. The data was obtained through a cross-sectional survey approach and analyzed using partial least squares structural equation modeling. Findings The research results demonstrated that technological factors such as data security, technology compatibility, technology readiness and relative advantage significantly influenced blockchain technology adoption. The findings also provide evidence that blockchain technology adoption positively impacts innovation, operational, market and financial performance. Research limitations/implications This research was focused solely on technological factors that affected blockchain technology adoption in the financial industry in the Jordanian context. Further research can investigate organizational, environmental or economic factors that affect blockchain adoption to better generalize the findings. Practical implications The study offers valuable insights into the determinants and benefits of blockchain technology adoption in the financial industry. The results of this research can be used to guide practitioners and policymakers toward promoting and facilitating the use of blockchain technology in financial firms. Originality/value The study fills a significant gap in the academic literature since only a few studies have endeavored to ascertain the determinants of blockchain technology adoption and its impact on the performance of financial firms in the context of a developing country like Jordan.
Mohd Abass Bhat, Shagufta Tariq Khan, Abeer F. Alkhwaldi, Amir A. Abdulmuhsin
Purpose This study aims to identify the factors influencing blockchain adoption and assess its impact on the financial and market performance of small and medium-sized enterprises (SMEs) in Oman, utilizing the Technology–Organization–Environment (TOE) framework. Design/methodology/approach The nature of the study is explanatory based on data gathered from 282 SME owners and managers/employees using a convenience sampling method. After examining construct validity and reliability, Partial Least Squares with Structural Equation Modelling was used to examine the proposed model of the study. Findings The results indicate that all the determinants, including Cost Concerns, Top Management Support, Relative Advantage, Technology Compatibility, Security Concerns and Technological Readiness are significant load-on drivers for blockchain adoption. However, Government Policy and Vendor Support were deemed insignificant contributors to blockchain adoption. Moreover, the adoption of blockchain has a favourable effect on both financial as well as market performance. Practical implications The study finds that there is a great possibility of blockchain technology transforming SMEs in Oman by boosting data security, transparency and efficiency of processes. This supports Vision 2040 for Oman towards advancing technology, economic development and job creation. Managers and policy makers should, therefore, encourage the adoption of this innovation. Originality/value The study highlights the importance of blockchain technology in small and medium-sized firms (SMEs) in Oman, in line with the national authorities' economic development plans in Vision 2040. The findings of the study will add significantly to the existing body of knowledge by providing a holistic understanding of the determinants of blockchain adoption in SMEs from the perspective of the TOE framework and its influence on performance.
Nuzhat Noor Islam Prova, Nikhil Kassetty, Vishal Narender Punjabi, Sandeep Keshetti · 5 authors
The quick globalization of supply chain management (SCM) has resulted in increasingly complicated networks, and there is a need for transparency, efficiency, and security advancements. This research proposes an innovative framework that addresses these challenges and integrates blockchain-powered smart contracts, IoT-enabled real-time data tracking, and a robust Management Information System (MIS) dashboard. Developed on Ethereum’s decentralized architecture, this model provides a transparent and efficient environment for stakeholders and automates essential processes, including payment triggers, compliance with quality criteria and logistics support. Advanced features like demand-supply smoothing algorithms, blockchain-anchored robotic process automation (RPA), AI-driven risk analysis, digital twin systems, and multi-layer privacy protection further enhance the framework. IoT sensors also enable monitoring sustainability in real-time, while gamification and blockchain oracles guarantee stakeholder participation and dynamic optimization. The presented method addresses the main issues with SCM by reducing fraud, enhancing operational timeliness, providing regulatory compliance, sophisticated IoT-AI synergies and leveraging Layer2 solutions for scalability. This research highlights the transformative possibility of blockchain smart contracts in revolutionizing SCM by creating a secure, transparent, and sustainable supply chain ecosystem.
Kai Kang, Bing Qing Tan, Felix T.S. Chan, Xiang T.R. Kong
Many firms have launched corporate social responsibility (CSR) initiatives to address social and environmental challenges toward Industry 5.0. Numerous firms are considering using blockchain to manage CSR. In this paper, we study the effect of blockchain on CSR within a supply chain containing a supplier, a retailer and a regulator. Since real-life supply chains operate in the long term and related decisions might evolve over time, we apply crowd intelligence to develop a tripartite evolutionary game-theoretic model for exploring the instability of the short-term strategy selection and discussing evolutionary stability. We investigate the strategic stability to uncover the evolution process of strategy selection of each player with corresponding conditions. We consider the mutual influence of three players to analyze the evolutionary stable strategy (ESS) of the game. We prove the existence of ESSs and their conditions. Based on numerical studies, the theoretical findings are verified and the impact of key parameters and different initial states of players are analysed on the evolution trajectories. The results reveal that the retailer prefers to adopt blockchain if the market expansion benefited from blockchain is sufficiently large; otherwise, the supplier strictly follows CSR regulation, the retailer adopts blockchain or the regulator performs strict regulation.
Blockchain technology has emerged as a transformative innovation, with applications spanning diverse industries. This study provides a comprehensive comparison between public and private blockchains, focusing on six key dimensions: scalability, security, use case distribution, energy efficiency, developer ecosystem, and performance metrics. Data were collected from 30 blockchain systems, representing a wide range of consensus mechanisms and industry applications. The findings reveal significant trade-offs between the two blockchain types. Public blockchains, such as Bitcoin and Ethereum, excel in decentralization and transparency, making them ideal for open and trustless environments like cryptocurrency and decentralized finance (DeFi). However, they face limitations in scalability, high energy consumption, and slower transaction speeds. Conversely, private blockchains, such as Hyperledger Fabric and Corda, demonstrate superior scalability, energy efficiency, and privacy, making them more suitable for controlled environments like healthcare, supply chain management, and enterprise financial services. The study underscores the importance of aligning blockchain technology selection with specific application requirements. Furthermore, it highlights the potential of hybrid blockchain models to integrate the strengths of both public and private systems, addressing existing limitations. These findings provide valuable insights for organizations and developers in leveraging blockchain technologies effectively.
Purpose The purpose of this study is to determine the factors affecting the adoption of the use of Bitcoin by members of Iraqi society. Design/methodology/approach The deductive approach was used based on the technology acceptance model (TAM). The data were collected by an electronic questionnaire that was prepared based on several previous studies, obtaining 527 responses. Structural equation modeling was used by SmartPLS software to analyze the data and test the hypotheses. Findings This study reached a set of results, the most important of which was that each of the compatibility, security and perceived trust affects the contracts of the TAM (behavioral intention, perceived ease of use, perceived usefulness) except the effect of security on behavioral intention. Research limitations/implications This study focused on identifying the opinions of the respondents from the general community and was not limited to a specific segment. On the other hand, despite identifying the demographic characteristics of the respondents, this study did not test the impact of these characteristics on the intention to use digital currency. Practical implications This study is expected to help financial institutions in general to understand the future behavior of community members toward dealing with Bitcoin and to make decisions regarding how to direct the financial policy in the country; in addition, it will also contribute to educating the citizens of countries about the risks related to this currency. Originality/value The survey of previous studies revealed a significant decrease in this study of the behavior of individuals in Arab societies in general toward dealing with Bitcoin and in Iraq in particular, forming a spatial gap. The results of this study are expected to help improve community members’ dealings with digital currency based on their perceptions of trust, security and compatibility. This study will also contribute to assisting financial and monetary policymakers when dealing with this currency.
The COVID-19 pandemic has had a significant impact on small and medium-sized enterprises (SMEs), leading to disruptions in supply chains, financial losses, and closures. To overcome these challenges, organizations, including those in developing economies like Malaysia, are turning to blockchain technology as a solution to enhance traditional supply chain management frameworks. This study aims to identify the factors that influence the acceptance of blockchain technology among SMEs. By drawing on established adoption theories such as the technology acceptance model (TAM), diffusion of innovation (DOI) theory, and theory of planned behavior (TPB), the researchers developed a research framework. They utilized partial least square structural equation modeling (PLS-SEM) to analyze the causal relationships between different constructs and test their hypotheses. The findings confirmed that the constructs of the technology acceptance model, specifically perceived usefulness, perceived ease of use and attitude were significantly associated with the intention to use blockchain technology. Additionally, the constructs of the diffusion of innovation theory, relative advantage and compatibility, showed significant associations with perceived ease of use, while complexity had a negligible relationship with perceived usefulness and perceived ease of use. The construct of subjective norms from the theory of planned behavior exhibited a significant relationship with perceived usefulness and an insignificant relationship with intention to use. Finally, perceived behavioral control demonstrated a positive relationship with intention to use. The study's findings provide valuable insights for blockchain developers and organizations aiming to make informed decisions regarding the application of blockchain technology as a process innovation in SMEs.
The proposed work analyses the role of blockchain technology in the evolution of Healthcare 5.0 and Industry 5.0. Blockchain is a shared ledger that is distributed over a network. Basically, it is a list of connected blocks where the data are recorded securely using asymmetric encryption and hashing techniques. The features of blockchain such as security, transparency, immutability, consensus, and decentralization make this technology a much needed one in the digital age. The unbreakable security is one important feature that every organization is striving to grab. Healthcare and industry are two disciplines that have evolved over time due to technological advancement. In the smart era, these disciplines have evolved to the stage where they are called as Healthcare 5.0 and Industry 5.0. Healthcare 5.0 is a patient-centric model whereas Industry 5.0 is customer-centric. Current healthcare and industry disciplines employ technologies such as artificial intelligence, Internet of Things, computer vision, and blockchain for automation and personalization. Various studies are being conducted on blockchain technology and its potential applications in different disciplines. A complete security analysis of this technology is much needed since many researchers are rapidly developing blockchain framework for potential applications in different fields. The proposed study discusses distributed ledger technologies and compares blockchain with other distributed ledger technologies. The study emphasizes the importance of blockchain in Healthcare 5.0 and Industry 5.0. Security threats and challenges involved in blockchain technology are discussed. Quantum computing and its effect in strengthening the security of blockchain are analyzed to enhance trustworthiness of blockchain technology in post-quantum-computing era.
The medical supply chain faces challenges like counterfeit drugs, lack of transparency, and inefficient traceability. Blockchain technology, with its decentralized and secure architecture, offers a promising solution. By implementing customized smart contracts, stakeholders can ensure data integrity, improve trust, and streamline supply chain operations, enhancing overall efficiency and reliability. Counterfeit medicines and limited visibility across the medical supply chain pose significant risks to patient safety and public health. Traditional systems lack robust mechanisms to verify authenticity or ensure transparency. The need for a secure, efficient, and scalable system to trace and validate medicines in real-time has become crucial. A blockchain-based framework was developed using customized smart contracts for traceability. Each medicine is registered with unique identifiers stored on the blockchain. QR codes link physical products to the digital ledger, enabling real-time tracking and user verification. The system uses consensus mechanisms to validate transactions and ensure authenticity. Proof of Work (PoW) ensures robust security by requiring significant computational effort for transaction validation, deterring malicious activities. Proof of Stake (PoS) enhances scalability and energy efficiency, validating transactions based on a node's stake in the network. Together, these algorithms provide a balance of security, speed, and sustainability. The proposed system significantly improves traceability and transparency in the medical supply chain. Counterfeit detection rates increased, and transaction validation times decreased due to optimized algorithms. User feedback confirmed enhanced trust and reliability. The solution demonstrates scalability and adaptability for broader applications in healthcare and beyond.
Blockchain is a revolutionary technology that provides transparency, security, and efficiency in data management. In the context of financial audit, blockchain has the potential to increase transparency and accountability by allowing immutable transaction recording and real-time verification. This research aims to review the existing literature regarding the implementation of blockchain in financial audit, identifying challenges and opportunities that might happen in its adoption in the financial and accountancy sector. Using the Systematic Literature Review (SLR) approach, this research summarizes the results of recent studies published in indexed journals. Research results show that blockchain can provide significant benefits in increasing audit efficiencies and prevent data manipulation. But there are some challenges in implementation, including privacy issues, regulation, and the need for adequate technological infrastructure. These findings are expected to contribute to academics and practitioners in understanding the opportunities and challenge of blockchain adoption, as well as encourage further research into the implementation of blockchain in financial audit.
This study explores the implementation of blockchain technology, specifically smart contracts, within the Land Registry and Survey Department to enhance sustainable development in Jordan. Utilizing a quantitative, cross-sectional survey design, the research targeted 12,450 employees of the Jordanian Department of Lands and Survey, with a stratified random sample of 448 respondents. The data, gathered through online surveys and analyzed via Partial Least Squares Structural Equation Modeling (PLS-SEM), reveals significant positive relationships between blockchain implementation facets—such as Security and Fraud Prevention, Efficiency and Automation, Regulatory Compliance, Transparency and Trust, and Accessibility and User Experience—and sustainable development outcomes. Despite these promising results, the study acknowledges critical challenges such as the need for technical expertise, regulatory frameworks, and initial investment hurdles. Addressing these challenges is crucial for balanced implementation and sustained engagement with the technology. The model accounts for 77.6% of the variance in sustainable development, highlighting blockchain's potential to simultaneously tackle multiple land administration challenges. This research provides empirical evidence of blockchain's impact on sustainable development, offering a comprehensive framework for its application in land registries, particularly in developing nations. The findings hold significant implications for policymakers, land registry administrators, and technology implementers, underscoring the importance of integrating technological innovation within existing regulatory and institutional contexts to achieve sustainable economic, environmental, and social growth.
Blockchain technology and big data have transformed accounting and strategic cost management in Iraq's rapidly developing technological environment. Blockchain technology provides transparency, security, and the ability to track accounting records, which greatly improves financial statements and enables more accurate and real-time cost tracking and resource allocation. Block Chain certification requires accountants to learn digital ledger management, smart contracts, and decentralized finance system compliance, as well as big data analytics to analyses large data sets, identify cost-saving opportunities, and predict strategic trends. These advances require ongoing learning and adaptation to technologies, as well as data privacy and system security. The study examines how technological advances affect accounting and cost management methods, particularly in Iraq's economic and technological context. The study's main findings were that blockchain technology collects data and information on all transactions within time-series blocks, forming a chain called the blockchain, each of which contains information related to the previous block, making it impossible to modify any block without modifying the entire chain, and big data is an important stage of information and communication development.
The goal of this current study is to address important concerns about data security, privacy, and integrity by amalgamating blockchain technology with the Internet of Medical Things. The IoMT ecosystem consists of wearables, implanted sensors, and remote monitoring tools that generate sensitive medical data continuously, revealing several security vulnerabilities. Blockchain, with its principles of decentralization, transparency, immutability, and cryptographic security, opens up new avenues for securing health data without the use of third-party authorities. This paper outlines the methodology used in this review, including a systematic analysis of relevant literature, utilizing the PRISMA framework to evaluate sources. The analysis identifies key protocols and components of blockchain relevant to IoMT, highlights challenges, and provides solutions. Key findings emphasize blockchain’s ability to reduce attacks using distributed ledgers, permissioned access, and encrypted transactions. Furthermore, blockchain may improve patient care by providing real-time data exchange and enabling interoperability across health systems.
Objective: The study aims to explore the integration of artificial intelligence (AI) and blockchain technology into the halal certification process, focusing on improving accuracy, transparency, and efficiency. It evaluates how these technologies can enhance the halal certification system in Indonesia, mainly through the SiHalal platform developed by the Halal Product Assurance Agency (BPJPH). Research Design & Methods: This study uses a qualitative approach, reviewing the literature and analyzing the implementation of AI and blockchain technologies in halal certification in Indonesia through case studies and interviews with key stakeholders to assess the effectiveness and potential impact of integrating these technologies. Findings: The study found that AI and blockchain improve efficiency, transparency, and security in the halal certification process. AI automates error detection and improves accuracy, while blockchain prevents fraud through immutable records. The SiHalal platform successfully integrates the two to simplify the process and increase public trust and user satisfaction. Implications & Recommendations: The study recommends the expansion of the SiHalal platform and further development of AI and blockchain integration to improve scalability and security, policy support for technology infrastructure and training of halal auditors, and adoption of SiHalal by halal businesses to improve efficiency and transparency, with suggestions for technology developers to continue innovating in addressing scalability and interoperability challenges. Contribution & Value Added: This study contributes to the literature on modernizing halal certification systems by showing how integrating AI and blockchain can revolutionize the process. It also provides insights into how technology increases trust, reduces fraud, and enables regulation, positioning Indonesia as a global halal market leader.
It is quite challenging to monitor goods quality or security issues due to the intricacy of a tracking system, particularly for the fundamental farming food supply chains that contribute to making up everyday feeds of individuals. There are a number of significant issues with the current agricultural food tracking systems, including a large number of subjects, challenging interactions brought on by lengthy logistics phases, and user and centrally managed distrust of data. The traceability issue in agricultural food tracking systems is successfully resolved by the development of blockchain technology. In order to reduce the requirement for central organizations and departments and enhance the dependability, safety, and authenticity of records of transactions, this work suggests a structure based on smart contracts and consortiums to monitor and document the process of agricultural food tracking system, implement transparency and accessibility, and dismantle data centers between businesses. Farmers simultaneously store file hashes in smart contracts and record environmental and agricultural development information in the InterPlanetary File System (IPFS), which improves the safety of information and mitigates the issue of blockchain storage overflow. The proposed system demonstrated superior performance with reduced delay in response (0.035) and increased transmission speed (265), reception speed (305) and processing power (17.65) compared to Ethereum and Hyperledger Fabric.
Blockchain is a distribution system consisting of a set of blocks connected to each other using cryptographic technology. Each block consists of a set of information that is recorded in a decentralized manner and does not rely on one party to validate the transaction. Each block stores a reference to the previous block in the Block Chain network, any modifications or changes in one block will be immediately known because the changes are not contained in other blocks, this property is meant by distributed, known as DLT (Distributed Ledger Technology). The blockchain authentication method is a series of processes used to verify the validity of a transaction or information stored in the blockchain network. Similar to the blockchain, the hadith as the second source of law after the Qur'an, when conveyed by the Prophet Muhammad Saw to the companions (sahabah), the companion then distributed it to other companions not only the matan (the content of the hadith) but also the sanad (narrators). The authenticity of the hadith is maintained by the composition of the chain of narrators called sanad and the figure of the narrator who has the capability and is trusted to convey a hadith. This method is then known as decentralized and distributed information, which is the same information owned by many parties, so it is very difficult to make changes unless it changes all parties who receive the information (mutawatir). This research will compare the concepts of blockchain authentication methods and hadith authentication methods with a literature review approach.
The Blockchain technology as one of the newest technologies of the millennium is not only opening new opportunities in financial services but also may be implemented for optimal service delivery in Libraries since it is notable for being a reliable technology that helps with security, preservation and reliability of data. This paper takes a conceptual look at blockchain technology and where it can be applied in libraries for effective library services delivery in this digital era. The paper apart from taking a holistic look at the concept, also treated the features of the technology which revolves around the three main properties of blockchain technology: decentralization, transparency and immutability which have helped it gain wide spread acclaim as well as benefits of integrating blockchain technology in library operations which include that the technology has the potential to enhance library operations in areas as, digital preservation and tracking, community-based collections to share objects, tools and services, inter library loan and voucher system, library verification of credentials (information literacy) and also, library card and Archives/special collections where provenance and authenticity are essential with each sub-heading substantiated with image for clarity. After which, conclusion that blockchain technology has the potential for revolutionizing library management practices and that integrating blockchain into library practices may likely improve the state of security in libraries, enhance transparency and accessibility of library collections, transforming the bounders of digital preservation and intellectual property management was drawn and recommendations which include among others that before libraries launch blockchain technology, librarians should keep in mind blockchain project such as programmers, project management team and visionary staff from the libraries, resources and finance in that before launching blockchain technology, proper resources and finances are required noting that a blockchain solution for data alignment might be affordable and feasible if libraries have sufficient funds for the project were made.
Being a generalization of fuzzy set, intuitionistic fuzzy set (IFS) obtains a better representation of fuzziness and uncertainty. Inspired by this concept, this paper first proposes a logarithmic distance measure to calculate the degree of difference between IFSs. Moreover, this work develops a hybrid ranking model by combining the distance measure, rank-sum model, Stepwise Weight Assessment Ratio Analysis (SWARA) weighting tool, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) methods under the context of intuitionistic fuzzy environment. In the proposed method, the rank-sum model is used to compute the decision makers’ weights, while the SWARA model is applied to evaluate the criteria weights. To show the practicality of developed model, it is executed to a case study of determining the rank of blockchain networks in the healthcare management system. Comparative study is presented to confirm the advantages of proposed approach over the existing methods.