Adoption Of Blockchain Technology Research Articles

Mapping the barrier and strategic solutions of halal supply chain implementation in small and medium enterprises

Purpose This study aims to identify the challenges, promote respective solutions and construct strategies for the implementation of the halal supply chain in Indonesia’s small and medium-sized enterprises (SMEs). Design/methodology/approach This research used the analytic network process in nine respondents categorised into three groups of relevant stakeholders: government, academia and industry. Findings Seven essential criteria for the implementation of a halal supply chain in SMEs were identified, namely, the process, packaging, storage, transportation, fundamental aspects, supporting policy and technology. Notably, the high cost of adopting blockchain technology was the most crucial issue, particularly in SMEs. Practical implications Through the findings, several critical factors to consider in the implementation of halal supply chains for SMEs were identified. The investment in halal supply chain technology, which incurs a high cost carried by entrepreneurs, is a burden for SMEs. For this reason, further studies are required to formulate and develop cost-effective halal supply chain technology for SMEs. Originality/value To the best of the authors’ knowledge, this research is the first attempt of comprehensively mapping the barriers and developing strategic solutions to implement the halal supply chain by Indonesia’s SMEs.

Impact of institutional pressures and security on blockchain technology adoption and organization performance: an empirical study

Impact of institutional pressures and security on blockchain technology adoption and organization performance: an empirical study

Blockchain technology, social media sentiment and stock price

AbstractWe investigate the impact of the announcements by firms to adopt blockchain technology on stock prices and the different characteristics of stock prices under different types of blockchain technologies. Simultaneously, we propose two impact mechanisms: one is investor sentiment, and the other is the firm's governance of social media. We find that the firm's stock price has shown an increasing trend since the release of the announcement of the adoption of blockchain technology. At the same time, firms engaged in blockchain research, development and investment, and that simultaneously deploy other financial technologies, as well as firms that deploy blockchain technology for non‐speculative purposes, have better stock prices. In addition, the layout of a firm's blockchain may affect its stock price by influencing investor sentiment and public opinion.

Challenges in adopting blockchain technology in supply chain management: a too far fetched idea?

PurposeRecent technological advancements, often linked to Industry 4.0, require organizations to be more agile and innovative. Blockchain technology (BT) holds immense potential in driving organizations to achieve efficiency and transparency in supply chains. However, there exist some insurmountable challenges associated with the adoption of BT in organizational supply chains (SC). This paper attempts to categorically identify and systematize the most influential challenges in the implementation of BT in SC.Design/methodology/approachThis study resorts to an extensive literature review and consultations with experts in the field of supply chain management (SCM), information technology and academia to identify, categorize and prioritize the major challenges using VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) and Combined Compromise Solution method (CoCoSo).FindingsThe top three classes of challenges revealed in this study are privacy challenges (PC), infrastructure challenges (IC) and transparency challenges (TC). Maintaining a balance between data openness and secrecy and rectification of incorrect/erroneous input are the top two challenges in the PC category, integration of BT with sustainable practices and ensuring legitimacy are the top two challenges in the IC category, and proper and correct information sharing in organizations was the top most challenge in the TC category.Originality/valueFuture scholars and industry professionals will be guided by the importance of the challenges identified in this study to develop an economical and logical approach for integrating BT to increase the efficiency and outcome of supply chains across several industrial sectors.

Effect of blockchain technology adoption on construction supply chain: a structural equation modelling (SEM) approach

Purpose The construction industry is frequently scrutinised by the public for a variety of issues, including waste, inefficiency, narrow profit margins, scheduling setbacks, budget overruns, quality concerns, trust deficits, transparency issues, coordination challenges, communication issues and fraud. The purpose of this paper is to assess the effect of blockchain technology adoption on the construction supply chain. Design/methodology/approach This study used a quantitative research approach through a questionnaire survey that was conducted among professionals in the Nigerian construction industry using the snowball sampling method, which resulted in a selection of 155 respondents. The collected data were analysed using partial least squares structural equation modelling, enabling a thorough assessment of the proposed relationships and offering valuable insights specific to the construction industry. Findings The study’s findings validated the conceptual framework established. The results indicated that implementing blockchain across all stages of the construction supply chain has the potential to improve the construction process. The study also revealed that blockchain technology will significantly affect the construction supply chain in a positive manner. Research limitations/implications This research was carried out in the South-western region which is one of the six geo-political zones in Nigeria using a cross-sectional survey method. The study holds implications not only for local construction practices but will also contribute to the broader discourse on national construction sector challenges and possible solutions. Practical implications The findings of this study will be immensely beneficial to both professionals, practitioners and stakeholders in the Nigerian construction industry in learning about the potential of blockchain technology application in improving the construction supply chain. Originality/value The study in this paper constructed and evaluated a conceptual framework by exploring the connections between the variables. The results have significant implications for the construction sector, as they provide avenues for enhancing the construction process and the overall supply chain. These findings are valuable for researchers examining the potential effects of blockchain technology on the construction supply chain.

Adoption Factors of Blockchain in Indian Agriculture Supply Chain Management Analysis using EFA

<p class="MsoNormal" style="margin-top: 10pt; line-height: 12pt; text-align: justify;"><span lang="EN-US" style="font-family: 'times new roman', times, serif; font-size: 14pt;">The global agricultural supply chain grapples with inherent challenges, including opacity, inefficiency, and ethical concerns, necessitating innovative solutions, particularly within Indian Agriculture Supply Chain Management. Despite these challenges, a notable research gap emerges due to the limited exploration of adoption factors specific to the Indian agricultural context. To bridge this gap, a comprehensive investigation is initiated to delve into the nuanced dynamics of blockchain technology adoption in the Indian agricultural supply chain. The primary aim of this study is to provide insights into these adoption dynamics, employing a three-stage methodology. Starting with an extensive literature review to identify key adoption factors, the study then distributed a well-crafted questionnaire to 200 respondents, yielding 150 complete and analyzable responses. The chosen methodologies, including a one-sample t-test and exploratory factor analysis, allow for a quantitative assessment of the significance of various factors. The study's findings reveal crucial dimensions influencing blockchain adoption, such as perceived benefits, ease of use, trust, efficiency, ethical considerations, data security, integrity, regulatory compliance, and collaboration and stakeholder engagement, providing a comprehensive understanding of the adoption landscape. In conclusion, this research significantly contributes to comprehending the nuanced adoption dynamics of blockchain technology in the Indian agricultural supply chain, supported by a substantial sample size and robust methodological choices. The implications extend to stakeholders navigating the evolving agricultural supply chain, offering valuable insights for future research, policy considerations, and practical strategies, with a central focus on fostering transparency, efficiency, and ethical standards to address global agricultural supply chain challenges.</span></p>

Leveraging Blockchain for Maritime Port Supply Chain Management through Multicriteria Decision Making

This research investigates the optimal integration of Blockchain Technology (BT) in Supply Chain Management (SCM) within Chile’s maritime ports. Utilizing fuzzy Logarithmic Methodology of Additive Weights (LMAW) and Double Normalization-based Multiple Aggregation Methods (DNMA), the study systematically identifies, prioritizes, and ranks key factors influencing BT adoption in SCM. The study’s findings highlight crucial factors like enhanced transaction security, good supply chain practices, and risk management. Furthermore, it ranks the application of ports as prime candidates for BT integration. The research contributes theoretically by developing a hybrid model combining MCDA methods, and practically by guiding the strategic application of BT in the maritime logistics sector, aligning with the principles of Industry 5.0. This paper presents a novel approach that explores the utilization of BT in maritime supply chain management, incorporating MCDA in a vague environment. The research gap of this study lies in defining new contexts in both theoretical and practical literature reviews for extending the use of BT in SCM in the ports of Chile, according to Industry 5.0, to increase the efficiency and effectiveness of all aspects of operations in these places. The contribution of this research is applying hybrid MCDA methods in an uncertain environment to assist decision-makers (DMs) in better implementing BT in SCM in Chilean ports, according to Industry 5.0.

Blockchain: A comparative analysis of hybrid consensus algorithm and performance evaluation

The security of data and information is a critical concern in the rapidly evolving IT industry. Blockchain technology emerges as an innovative way of enhancing data security through the secure transmission of digital assets without a trusted third party or central administrator. Blockchain's fundamental principles of decentralization, immutability, and transparency are applicable in a variety of fields, including finance, supply chain management, healthcare, digital voting, and the Internet of Things. This research explores the underlying protocols of blockchain networks, specifically focusing on consensus mechanisms that enable transaction agreement and validation. The widespread adoption of blockchain technology faces significant challenges in achieving scalability and efficient consensus mechanisms. This research addresses these crucial limitations by proposing a novel hybrid consensus approach designed to enhance usability, security, and scalability. The proposed consensus mechanism incorporates a dynamic difficulty adjustment mechanism. The difficulty of validating blocks dynamically adjusts based on transaction volume and overall validator participation. Furthermore, a slashing mechanism is implemented to penalize validators engaging in malicious behavior by reducing their stake. Our analysis demonstrates the effectiveness of our proposed scheme in addressing several key concerns associated with blockchain, including reducing energy consumption, minimizing the probability of forks, and mitigating the level of mining centralization found in the consensus algorithm.

Developing a framework for integrating blockchain technology into earthquake risk mitigation and disaster management strategies of smart cities

PurposeEarthquakes pose a significant challenge to human safety and the durability of infrastructure, highlighting the urgent need for innovative disaster management strategies. This study addresses the gap in current earthquake disaster management approaches, which are often related to issues of transparency, centralization and sluggish response times. By exploring the integration of blockchain technology into seismic hazard management, the purpose of the research is to overcome these limitations by offering a novel framework for integrating blockchain technology into earthquake risk mitigation and disaster management strategies of smart cities.Design/methodology/approachThis study develops an innovative approach to address these issues by introducing a blockchain-based seismic monitoring and automated decision support system for earthquake disaster management in smart cities. This research aims to capitalize on the benefits of blockchain technology, specifically its real-time data accessibility, decentralization and automation capabilities, to enhance earthquake disaster management. The methodology employed integrates seismic monitoring data into a blockchain framework, ensuring accurate, reliable and comprehensive information. Additionally, smart contracts are utilized to handle decision-making and enable rapid responses during earthquake disasters, offering an effective alternative to traditional approaches.FindingsThe study results highlight the system’s potential to foster reliability, decentralization and efficiency in earthquake disaster management, promoting enhanced collaboration among stakeholders and facilitating swift actions to minimize human and capital loss. This research lays the foundation for further exploration of blockchain technology’s practical applications in other disaster management contexts and its potential to transform traditional practices.Originality/valueCurrent methodologies, while contributing to the reduction of earthquake-related impacts, are often hindered by limitations such as lack of transparency, centralization and slow response times. In contrast, the adoption of blockchain technology can address these challenges and offer benefits over various aspects, including decentralized control, improved security, real-time data accessibility and enhanced inter-organizational collaboration.

Stage-wise green supply chain management and environmental performance: Impact of blockchain technology

In the era of globalisation, the use of technology and concerns for sustainability is eminent in the supply chain management practices. The current study focuses on sustainable and green supply practices in different stages of supply chain management and how they can be facilitated by blockchain technology (BT). The study has addressed the existing gaps in the area namely, the lack of research assessing stage-wise green supply chain for environmental performance focusing on BT. The current study aims to assess the impact of BT on different stages of the green supply chain and a firm's environmental performance. The study also focuses on analyzing the impact of green supply chain stages on environmental performance. The study uses PLS-based structural equation modelling approach to investigate the hypothesised relationships between BT adoption and stage-wise green supply chain practices. The data was collected from individuals from medium-sized enterprises from the manufacturing industry in India. The findings reveal a positive association between blockchain adoption and green supply chain management practices leading to enhancement in environmental performance. Furthermore, the study indicates a positive relationship between blockchain integration and different stages of the green supply chain, underscoring its multi-faceted impact on environmental performance. The findings imply that the BT adoption can facilitate the realization of sustainable supply chain practices and performance improvement.

Unlocking the potential of blockchain technology in enhancing the fisheries supply chain: an exploration of critical adoption barriers in China

The application of blockchain technology holds significant potential for improving efficiency, resilience, and transparency within the Fisheries Supply Chain (FSC). This study addresses the critical barriers hindering the adoption of blockchain technology (BT) in the Chinese FSC, recognizing the unique challenges posed by its intricacies. Through a comprehensive literature review, fourteen Critical Barrier Factors (CBFs) were identified, and a grey Delphi method was employed to distill this set. Five pivotal CBFs emerged, including "Regulatory Compliance," "Cost of Implementation," and "Complex Supply Chain Network". A subsequent grey Decision-Making Trial and Evaluation Laboratory (DEMATEL) analysis revealed the causal relationships among these factors, categorizing them into effect and cause groups. "Regulatory Compliance," "Cost of Implementation," and "Complex Supply Chain Network" were identified as primary influencing factors demanding attention for effective BT integration in the FSC. The findings serve as a valuable resource for FSC stakeholders, assisting in prioritizing efforts to address these barriers. The discerned causal relationships provide guidance for managers in optimizing resource allocation. Ultimately, this research advocates for the adoption of blockchain technology in the fisheries supply chain to enhance overall performance and operational efficiency.

Blockchain adoption and mode selection strategies for remanufacturing supply chain under cap-and-trade policy

Environmental conservation and economic advantages have propelled the swift expansion of the remanufacturing industry. Many original equipment manufacturers (OEMs) delegate remanufacturing operations to third-party remanufacturers (TPRs) through outsourcing and authorization. Furthermore, blockchain technology enhances consumers’ intention to purchase remanufactured products by disclosing more product information. To investigate the impacts of blockchain on remanufacturing mode selection, this paper focuses on a competitive remanufacturing supply chain comprising an OEM and a TPR under a cap-and-trade policy. Further, four game-theoretic models are derived from whether to adopt blockchain technology and which remanufacturing mode to select. Three major findings are obtained by solving and comparing the four models: (1) Adopting blockchain does not consistently result in advantages for both the OEM and TPR, and they should adopt blockchain for information disclosure in instances where the unit blockchain adoption cost is low, and the disclosure degree of remanufactured product information is also low. (2) Compared with not adopting blockchain technology, if the unit blockchain adoption cost is low, blockchain technology will increase the remanufactured product sales, thereby fostering the advancement of remanufacturing and contributing to reducing the environmental impact. (3) Whether blockchain is adopted or not, the OEM always tends to be in the outsourcing remanufacturing mode. The TPR only opts for the outsourcing remanufacturing mode when consumers’ preference for remanufactured products is high. More importantly, adopting blockchain will likely enhance consumers’ preference for remanufactured products, potentially shifting the TPR’s inclination for remanufacturing mode from authorization to outsourcing in some instances.

Asses the Behaviour of Consumers for Enhancing Claims Processing and Fraud Detection in Insurance Through Blockchain Technology

The rapid advancement of blockchain technology presents a transformative opportunity for the insurance industry, particularly in claims processing and fraud detection. This paper explores the impact of blockchain technology on consumer behavior and its potential to enhance the efficiency and security of insurance operations. We begin by providing a comprehensive overview of blockchain technology, outlining its decentralized nature, immutability, and transparency. We then delve into the current challenges faced by the insurance industry, including prolonged claims processes and prevalent fraudulent activities. Through a mixed-methods approach, incorporating both quantitative surveys and qualitative interviews, we analyze how consumers perceive and interact with blockchain-based insurance solutions. The findings suggest that while there is general awareness about blockchain, its understanding remains limited among consumers. However, our study indicates a positive correlation between blockchain adoption and increased trust in insurance processes, driven by the technology's inherent characteristics of security and data integrity. Furthermore, we discuss several blockchain implementations, such as smart contracts that automate claims adjudication, and decentralized applications that ensure transparency and reduce opportunities for fraud. Finally, we propose a framework for insurance companies to effectively integrate blockchain technology, emphasizing consumer education, stakeholder engagement, and regulatory compliance. This study not only highlights the transformative potential of blockchain in reshaping consumer behavior and operational processes in insurance but also provides strategic insights for stakeholders aiming to harness these innovations for improved service delivery and fraud mitigation. The study titled "Assess the behavior of consumers for enhancing claims processing and fraud detection in insurance through blockchain technology" aims to explore how blockchain can revolutionize the insurance sector by influencing consumer behavior, improving claims processing, and enhancing fraud detection mechanisms. The focus of this research involves several key areas. This study explores the behavior of consumers in the context of enhancing claims processing and fraud detection in the insurance sector through the adoption of blockchain technology. Blockchain, known for its decentralized and transparent nature, holds promise for revolutionizing traditional insurance processes by improving transparency, efficiency, and security. However, successful integration relies heavily on consumer acceptance and adoption. This research aims to investigate consumer attitudes, perceptions, and intentions towards blockchain-based insurance solutions. Drawing upon established theories of technology acceptance and consumer behavior, the study examines factors influencing consumer trust, privacy concerns, and perceived benefits of blockchain in insurance. Additionally, demographic variations in consumer behavior and the impact of cultural and regulatory factors are explored. Through a comprehensive literature review and empirical research methods such as surveys and interviews, this study seeks to provide insights into how insurers can effectively engage consumers, address concerns, and leverage blockchain technology to enhance claims processing efficiency and fraud detection capabilities. The findings aim to inform strategic decision-making for insurance companies, regulators, and policymakers, facilitating the successful adoption and implementation of blockchain solutions in the insurance industry.

BlockTender: A Trustworthy System

The tendering process is a critical component in the procurement practices of governments and companies worldwide. However, this process often encounters challenges that undermine its efficiency, transparency, and security. Traditional tendering methods are plagued by issues such as complex documentation, lack of transparency, susceptibility to corruption, and significant security vulnerabilities. To address these challenges, our project introduces a novel approach that integrates blockchain technology into the tendering process. This integration aims to revolutionize the way tenders are issued, managed, and awarded by leveraging the strengths of blockchain, such as decentralization, immutability, and advanced cryptographic security. Our system comprises three main modules—Admin, Tender Officer, and Bidder—each designed to streamline the respective functionalities within the tendering cycle. By utilizing smart contracts for process automation and cryptographic hash functions (SHA-256) for data integrity, the proposed system not only enhances the security and transparency of the tendering process but also significantly reduces the risks of corruption and breaches. The adoption of blockchain technology in tendering processes marks a significant leap forward in procurement practices, offering a more secure, efficient, and transparent method for conducting transactions.

INNBC DApp, a decentralized application to permanently store biomedical data on a modern, proof-of-stake (POS), blockchain such as BNB Smart Chain

BackgroundA blockchain can be described as a distributed ledger database where, under a consensus mechanism, data are permanently stored in records, called blocks, linked together with cryptography. Each block contains a cryptographic hash function of the previous block, a timestamp, and transaction data, which are permanently stored in thousands of nodes and never altered. This provides a potential real-world application for generating a permanent, decentralized record of scientific data, taking advantage of blockchain features such as timestamping and immutability.ImplementationHere, we propose INNBC DApp, a Web3 decentralized application providing a simple front-end user interface connected with a smart contract for recording scientific data on a modern, proof-of-stake (POS) blockchain such as BNB Smart Chain. Unlike previously proposed blockchain tools that only store a hash of the data on-chain, here the data are stored fully on-chain within the transaction itself as “transaction input data”, with a true decentralized storage solution. In addition to plain text, the DApp can record various types of files, such as documents, images, audio, and video, by using Base64 encoding. In this study, we describe how to use the DApp and perform real-world transactions storing different kinds of data from previously published research articles, describing the advantages and limitations of using such a technology, analyzing the cost in terms of transaction fees, and discussing possible use cases.ResultsWe have been able to store several different types of data on the BNB Smart Chain: raw text, documents, images, audio, and video. Notably, we stored several complete research articles at a reasonable cost. We found a limit of 95KB for each single file upload. Considering that Base64 encoding increases file size by approximately 33%, this provides us with a theoretical limit of 126KB. We successfully overcome this limitation by splitting larger files into smaller chunks and uploading them as multi-volume archives. Additionally, we propose AES encryption to protect sensitive data. Accordingly, we show that it is possible to include enough data to be useful for storing and sharing scientific documents and images on the blockchain at a reasonable cost for the users.ConclusionINNBC DApp represents a real use case for blockchain technology in decentralizing biomedical data storage and sharing, providing us with features such as immutability, timestamp, and identity that can be used to ensure permanent availability of the data and to provide proof-of-existence as well as to protect authorship, a freely available decentralized science (DeSci) tool aiming to help bring mass adoption of blockchain technology among the scientific community.

Research on pricing strategy of dual-channel supply chain based on blockchain technology under carbon trading

In the context of the dual-carbon goal, it is of great significance to study the application of blockchain technology in the dual-channel supply chain under the carbon trading mechanism for the carbon emission reduction of enterprises and the overall profit maximization of the supply chain.In this paper, two decision models of the supply chain under secondary carbon trading are constructed to analyze the two cases of whether to adopt blockchain technology. Stackelberg model is used to study the impact of blockchain technology on the pricing decision of the dual-channel supply chain under carbon trading, and the two models are compared and analyzed.According to the research results, after the application of blockchain technology, wholesale prices, direct sales prices, retail prices, and profits of retailers and manufacturers have increased compared with the non-use of blockchain technology, which is conducive to promoting the development of carbon emission reduction for manufacturers.

Decentralized Wallet Application using Blockchain

Decentralized applications (DApps) are gaining significant traction due to the widespread adoption and development of blockchain technology. These applications receive substantial funding through crowdfunding, reflecting the growing interest in their potential. Despite this, there remains ambiguity surrounding their definitions, architectures, and classifications. This survey seeks to address these gaps by offering a comprehensive exploration of DApps for further investigation. Decentralized Applications, are software programs that typically include front-end interfaces, smart contracts for automation, and decentralized protocols for data storage and communication. Analyzing popular DApps reveals their varied functionalities, advantages, and challenges, showcasing the potential for decentralized technologies to reshape industries. Lastly, the survey outlines recent research problems concerning DApps, focusing on economics, security, and performance. It identifies promising avenues for future research in this domain.

A probabilistic reliable linguistic model for blockchain-based student information management system assessment

The growing necessity for robust security and trust in systems has prompted the widespread adoption of blockchain technology in student information management systems (SIMS). While existing literature has concentrated on the development of blockchain-based student information management systems (BC-SIMS), a notable gap remains in the evaluation of these systems. This study addresses this gap by employing a Multi-Criteria Decision-Making (MCDM) approach. Recognizing the inherent uncertainties in BC-SIMS evaluation due to inadequate information, the study introduces the Probabilistic Reliable Linguistic Term Sets (PRLTSs) theory to address these problems. As a result, the Measurement of Alternatives and Ranking according to the Compromise Solution (MARCOS) method is extended into the Probabilistic Reliable Linguistic environment, resulting in the Probabilistic Reliable Linguistic-Measurement of Alternatives and Ranking according to the Compromise Solution (PRL-MARCOS) method. This method supports the evaluation and selection decisions on BC-SIMS in higher education institutions. The study further designs the Probabilistic Reliable Linguistic-Coefficient of Variation (PRL-CV) method to determine the relative importance of selection criteria. Twenty selection criteria for BC-SIMS are identified through a literature review, and an illustrative case study is employed to assess the practicality and validity of the proposed PRL-CV-MARCOS approach in a higher educational institution. Experimental results highlight cost reduction (0.0778), interoperability (0.0717), security (0.0628), service improvement (0.0557) and responsiveness (0.0538) as the top five criteria for BC-SIMS selection, with BC-SIMS P5 identified as the optimal solution for managing student information. Finally, a comprehensive comparative and sensitivity analysis verifies the stability and effectiveness of the proposed decision support model.

Sales mode selection and blockchain technology adoption decisions in a platform supply chain

In recent years, some large-scale e-commerce platforms have established blockchain systems (BSs) to improve consumer product quality trust degrees (QTDs). However, whether the BSs work eventually depends on the upstream manufacturer strategic decision on whether to join the BSs to provide product quality information authentication. The impacts of the platform sales mode selection between the agency and the reselling modes on the manufacturer blockchain technology (BT) adoption decision are examined, and the equilibrium strategy combinations between the platform sales mode selection and the manufacturer BT adoption decisions are obtained. Furthermore, the impacts of the platform and the manufacturer strategic decisions on the product quality decision are analyzed. The results show that the manufacturer may have more incentive to join the BS under the agency mode than under the reselling mode. In addition, the manufacturer should set a higher product quality level under the agency mode than under the reselling mode, after joining the BS only if the unit BT adoption cost is low. Finally, the QTD, the quality improvement cost and the unit BT adoption cost determine the equilibrium strategy combinations. The double marginalization effect in the channel and the platform channel power advantage are used to explain the above findings. Several extensions are provided to verify the robustness of the results and to broaden the applicability of the model and method.

Blockchain-driven framework for construction waste recycling and reuse

Conventional management mechanisms for construction waste recycling and reuse (CWRR) often cause considerable information asymmetry, inadequate government supervision, and imperfect incentive mechanisms, resulting in frequent illegal dumping and landfilling of construction waste and relatively low recycling rates. To address these issues, we introduce blockchain technology to CWRR. The design science research methodology was adopted to identify the main steps in functional requirement identification and blockchain framework development for CWRR. To explain how blockchain can improve the CWRR process, a conceptual model for the functional requirements of the proposed framework was constructed using qualitative analysis. A blockchain-driven framework was developed to overcome practical barriers in the CWRR industry. Based on scenario simulation results, the proposed framework had execution and transaction costs of $4.735 and $1.276, respectively, and latency performance at the millisecond level. The results indicate that (1) based on specific problems systematically identified from CWRR practices, the proposed framework can address practical barriers in the CWRR industry more directly; (2) the CWRR industry can use blockchain technology to achieve information sharing, comprehensive government supervision, and effective incentive mechanisms and (3) the blockchain-driven framework has high efficacy and can promote efficient CWRR and high-quality development of CWRR industry chain. This management model is conducive to forming a collaborative CWRR industry chain that can lead to broader adoption of blockchain technology across industries.