Luqman Hakim Abdul Majid, Yudi Fernando, Ming K. Lim, Ming‐Lang Tseng
Achieving carbon neutrality in supply chains is a complex challenge, given the urgency of climate change mitigation. This paper explores how non-fungible tokens, carbon transparency, and blockchain carbon credits can support reaching carbon neutrality. We surveyed 140 Malaysian semiconductor firms involved in carbon-neutrality initiatives and conducted necessary condition analysis using the bottleneck technique. Our results show that non-fungible tokens enhance carbon transparency by providing traceable, verifiable carbon data. This transparency positively influences the issuance of blockchain carbon credits and carbon neutrality, though its effect is limited. Carbon transparency serves as a mediator between non-fungible tokens and carbon neutrality, underscoring its role in leveraging digital tools for effective carbon management. However, regulatory compliance and scalability challenges hinder both carbon transparency and digital transformation. This paper provides a foundation for integrating non-fungible tokens and blockchain technology into supply chains, offering policymakers pursuing transparent decarbonisation strategies valuable insights.
The competitive hospitality sector faces a growing credibility crisis, where rising consumer skepticism regarding "greenwashing" severely limits the ability of hotels to capture the Sustainable Revenue Premium. This research addresses a critical gap in Sustainable Supply Chain Management (SSCM) literature by empirically modeling the "Credibility Mechanism"—the process by which digital technology resolves information asymmetry to monetize sustainability claims. Focusing on the complex Food and Beverage (F&B) supply chains of emerging archipelagic economies, the study employs a rigorous sequential mixed-methods design. First, Design Science Research was utilized to architect a permissioned cross-chain blockchain framework integrating Zero-Knowledge Proofs (ZKPs) for verifiable, private provenance. Subsequently, Partial Least Squares-Structural Equation Modeling (PLS-SEM) confirmed that blockchain-enabled transparency significantly mitigates perceived greenwashing risk, which in turn fosters Customer Trust. Critically, the study validates financial outcomes using a Stochastic Frontier Bayesian Model (SFBM) applied to longitudinal hotel data. Results demonstrate that adopting this traceable framework yields an 8.4% increase in F&B revenue efficiency and sustains a 5.1% price premium for ethically sourced items. These findings provide profound theoretical advancements by redefining SCM risk mitigation through Information Governance rather than material redundancy. Managerially, the research offers a data-driven justification for high-tech investment, proving that verifiable transparency is a direct revenue driver essential for competitive advantage in opaque markets.
This study examines values and adoption conditions of Blockchain Technology (BCT) in horizontal demand forecast sharing among retailer, focusing on the influence mechanism of transparency-restriction approaches and BCT's endogenous effects on firms' sharing incentives. We model a supply chain with one manufacturer and multiple retailers, comparing four BCT-enabled data-sharing regimes: open access (permissionless) versus no-open access (permissioned), with or without encryption. Results show that restricted transparency, combined with selective accessibility, aligns individual and collective incentives by curbing wholesale price inflation and improving forecast accuracy. Contrary to intuition, higher transparency does not universally benefit retailers; supplementary encryption can balance data utility and privacy, enabling Pareto-superior outcomes. We further demonstrate BCT can reduces moral hazards in horizontal sharing (e.g. sharing biased forecast), allowing retailers to leverage aggregated demand signals without inefficiently verification. However, excessive transparency in BCT can accelerates retailers' profit erosion, akin to perfect competition. These findings offer micro-foundations for adopting visibility-restriction technologies (e.g. Zero-Knowledge Proofs) and guide the design of context-specific BCT systems. By reconciling transparency-privacy tensions and demonstrating BCT's endogenous role in forecasting, this study advances strategies for enhancing supply chain resilience through BCT innovation.
Atul Kumar Singh, Nishanth Rao Dugyala, Farzad Pour Rahimian, Faris Elghaish · 5 authors
Existing ESG reporting tools in construction organizations often lack transparency and accountability, presenting significant challenges in effectively managing and reporting ESG data. This research addresses the gap in current reporting practices by proposing and validating a hybrid blockchain solution aimed at enhancing ESG reporting in the Architecture, Engineering, and Construction (AEC) industry. The primary objective is to develop a blockchain-based solution that automates ESG reporting, addressing issues such as data fragmentation, lack of verification, and inefficiencies. Adopting a design science approach, the study develops a conceptual framework that combines Ethereum and Hyperledger Fabric to create a hybrid blockchain model for the prototype. The comprehensive literature review highlights key challenges in ESG practices and emphasizes the potential of blockchain technology to overcome these barriers. The findings show that the hybrid blockchain model successfully automates the ESG reporting process, ensuring transparency, immutability, and accountability. The prototype, validated through a case study involving two construction organizations, demonstrates the feasibility of combining Ethereum and Hyperledger Fabric to manage ESG data, reducing errors, preventing manipulation, and enabling real-time reporting. This research enriches the theoretical understanding of blockchain applications in ESG practices. It provides practical implications by offering a tangible, blockchain-based solution that ensures transparent, reliable, and accountable ESG reporting in the construction industry, ultimately contributing to more sustainable practices.
Ruba Islayem, Haya R. Hasan, Ahmad Musamih, Khaled Salah · 5 authors
The leather supply chain comprises numerous organizations and stakeholders, particularly when sustainability aspects are taken into account, making it a complex system. The complexity inherent in such systems can lead to inaccurate information, lack of transparency, and limited data provenance. Moreover, there has been a surge in the call for sustainable practices within leather production, propelled by growing environmental consciousness and ethical considerations. In this paper, we address these challenges by proposing a blockchain-based solution designed to ensure trusted and secure traceability and sustainability throughout the entire life cycle of leather products. By harnessing the inherent capabilities of Ethereum smart contracts and blockchain technology, such as decentralization, immutability, data integrity, and transparency, we guarantee the secure and reliable tracing of materials from the farm to the final consumer. Moreover, we provide proof of sustainability by which certification agencies monitor, audit, and approve the sustainable processes and practices carried out by the different stakeholders at all stages of production to ensure compliance with industry standards and regulations. The paper presents the blockchain-based system architecture, implementation, and validation of algorithms and smart contracts. It also evaluates the security measures and cost-effectiveness of the system to offer valuable insights into its robustness and efficiency. We have made the developed smart contracts code publicly available on GitHub.
This study explores the application of Self-Sovereign Digital Identity (SSDI) and blockchain technology in forest supply chain management to improve traceability, sustainability and regulatory compliance. It addresses how these technologies can overcome the limitations of traditional identity management and improve forestry operations’ transparency, efficiency, and environmental accountability. An Ethereum-based blockchain framework was used for this study, focusing on metrics such as transaction throughput and latency. Experimental tests were conducted to analyze the performance of SSDI in forest supply chains, focusing on real-time data management and secure identity control. A framework aligned with the Forest 4.0 initiative was proposed to evaluate the efficacy of SSDI. The results show that the integration of SSDI with blockchain significantly improves traceability and sustainability within forest supply chains, with high transaction rates and reduced latency. The decentralized system improves transparency and trust, promotes efficient identity management among stakeholders, and improves compliance with environmental regulations. Our study is among the first to apply SSDI in forestry, advancing digital transformation in this sector. Demonstrating SSDI’s capacity to streamline data handling and boost traceability, it offers practical recommendations for stakeholders seeking sustainable and digitally secure supply chain management practices. • Improve traceability using blockchain-enabled identity systems in forest supply chains. • Enhance transparency with decentralized records and digital identity verification. • Analyze performance through transaction rates and latency metrics in real-time. • Streamline data handling with efficient credential issuance and verification. • Promote sustainability through intelligent integration of digital and monitoring tools.
Marc Hübschke, Eugen Buss, Elmar Holschbach, Stefan Lier
Abstract Research on blockchain technology in supply chain management has gained significant attention in recent years due to its potential to address critical challenges such as transparency, traceability, and operational efficiency. Despite this interest, the relationship between blockchain implementation and its measurable success has not been thoroughly investigated. This study conducts a systematic literature review of 46 peer-reviewed papers published between 2008 and 2024, synthesizing current research on how blockchain performance is assessed within supply chains. By categorizing the findings across key success factors, research methodologies, and performance indicators, this study provides a structured understanding of blockchain’s role in SCM. Emerging from our review, we develop a dynamic evaluation framework that systematically integrates use cases, objectives, input criteria, research methodologies, and expected outcomes, illustrating their interdependencies. This framework demonstrates blockchain’s capacity to enhance supply chain performance through improved transparency, enhanced traceability, and strengthened sustainability practices. Furthermore, it provides a structured approach to assessing blockchain’s long-term viability, emphasizing its iterative nature, which allows organizations to refine and adapt their implementations in response to evolving business and regulatory landscapes. Our findings underscore the cross-industry applicability of blockchain technology, spanning various sectors and bridging both operational and strategic objectives. However, the analysis reveals significant research gaps, particularly in empirical studies validating blockchain’s long-term impact on supply chain resilience, sustainability, and multi-stakeholder collaboration. Additionally, inconsistencies in performance measurement approaches hinder the comparability of findings across studies. Addressing these gaps through future research will be essential to fully unlocking blockchain’s transformative potential in SCM and ensuring its effective integration into global supply chain ecosystems.
The integration of blockchain and smart contracts in the construction industry has the potential to revolutionize the tender phase and enhance waste management practices. The prototype is designed to enhance transparency, efficiency, and trustworthiness in Italian public procurement. To analyze the national public procurement database with a view to identifying common issues, which are often related to the lack of trust among stakeholders, Large Language Models (LLMs) are exploited. Blockchain technology has the potential to facilitate this process by eliminating discrepancies and disputes, providing a decentralized, immutable ledger to notarize data related to digital models submitted during the tender phase, thereby ensuring transparency and tamper-proof data. The automation of bid evaluations based on predefined criteria such as those pertaining to waste management, is a key feature of smart contracts, which are of particular importance in the context of construction sustainability. Such assessments are enabled, allowing for unbiased and transparent evaluations based on quantifiable data, with the results recorded automatically on the blockchain. This results in a more efficient tender process and the promotion of sustainable practices, as projects with superior waste management are given priority. A tailor-made blockchain protocol is put forth to delineate requirements and facilitate data exchanges. It establishes standards and procedures for data submission, verification, and evaluation, ensuring secure and transparent interactions and enhancing stakeholder confidence in a fair and transparent evaluation process. In summary, the use of blockchain and smart contracts in the construction tender phase improves data integrity, transparency, and efficiency. The focus on waste management indicators allows for objective project evaluations and the promotion of sustainable practices. This innovative approach has the potential to transform public procurement, establishing a new global standard for the construction industry.
This research aims to investigate financing decisions of capital-constrained small and medium-sized enterprise (SME) manufacturers and distributors under a Green Supply Chain (GSC) framework. By evaluating the impact of Supply Chain Finance (SCF) instruments, this study utilizes Stackelberg game model to explore a decentralized decision-making system. To our knowledge, this investigation represents the first exploration of game models that uniquely compares financing through trade credit, where the manufacturer offers zero-interest credit without discounts with reverse factoring, while also considering distributor’s efforts on sustainable marketing under the impact of supportive government policies. Our study suggests that manufacturers should adopt reverse factoring for optimal profits and actively participate in distributors’ financing decisions to address inefficiencies in decentralized systems. Furthermore, the distributor’s demand quantity, profits and sustainable marketing efforts show significant increase under reverse factoring, aided by favorable policies. Finally, the results are validated through Python 3.8.8 simulations in the Anaconda distribution, offering meaningful insights for policymakers and supply chain managers.
Against the backdrop of integrating the dual carbon strategy with the digital economy, retail enterprises' green supply chains face challenges such as difficult-to-trace carbon emission data, low efficiency in low-carbon collaboration, and imperfect green supplier certification mechanisms. This study leverages blockchain technology to empower retail enterprises, advancing their supply chains toward low-carbon and green development pathways. By utilizing distributed ledgers, it enables real-time sharing and traceability of carbon data across the entire chain, addressing issues of chaotic and distorted data collection. leveraging smart contracts to predefine emission reduction rules and allocate benefits, thereby balancing divergent objectives among supply chain participants to enhance collaborative efficiency; utilizing consensus mechanisms and immutability to establish a transparent, traceable green supplier certification and dynamic oversight system, tackling certification fraud and regulatory loopholes. This provides a feasible solution for the green and low-carbon transformation of retail enterprises, supporting their journey toward sustainable development.
Sustainable industrial development depends on optimizing resource and energy integration within Eco-industrial parks (EIPs), combined with stringent carbon emissions reduction policies. The main challenge is ensuring transparency, accountability, and data privacy while optimizing the conversion of raw materials and energy into valuable products and controlling emissions within EIPs. This research introduces an innovative framework to design optimized EIPs and deploy a blockchain-enabled trading platform for resources and emissions management, tackling these key issues. The proposed framework integrates EIPs with emission control policies, supported by two distinct smart contracts: one dedicated to blockchain-based resource trading and another handling financial transactions related to emission control policies, including other regulations such as income tax. The resource trading platform fosters transparency, enabling accurate tracking of material and energy flows. Furthermore, the framework integrates an off-chain Mixed-Integer linear Programming model (MILP) to optimize EIP design and operations, which is seamlessly integrated with smart contracts on the Ethereum blockchain (BC) to ensure data privacy and traceability among processes to meet environmental targets. The model also determines emission reductions and investments in carbon capture technology, promoting operational efficiency. By incorporating identity verification and external entities for compliance, the framework ensures secure and regulated operations. Offering a powerful tool to decision-makers and authorities, this framework enhances comprehension of resource and emissions tracking, paving the way for the development of innovative policies and fostering regulatory compliance. This development promotes sustainable industrial activities and supports environmental goals.
Mohammad Akbarzadeh Sarabi, Ata Allah Taleizadeh, Arijit Bhattacharya
With the increasing emphasis on environmental sustainability, both governments and consumers are more concerned than ever about the greenness of products. In this complex landscape, Supply Chains (SCs) face challenges in building trust and avoiding greenwashing accusations. Blockchain technology offers a promising solution by ensuring transparency and circularity within SCs, particularly in identifying customers for product recycling. This study pioneers the exploration of consumers' distrust in pricing and product greenness, alongside the impact of carbon policies (taxes and subsidies) within a closed-loop supply chain (CLSC). Using classical Stackelberg game theory, we develop two models that identify equilibrium decisions for SC members, focusing on pricing, green production investment, circularity, and blockchain adoption. Additionally, we propose an evolutionary game theory model to find the optimal government policies and identify the long-term behaviour of the CLSC and government in two heterogeneous populations. Our findings reveal that if the retailer's share of blockchain costs falls below a certain threshold, blockchain adoption becomes less profitable than exclusive investment in green production. A higher (lower) subsidy rate benefits (harms) the retailer but disadvantages (benefits) the collector. Blockchain adoption is generally more profitable for manufacturers and retailers, though less so for collectors, and it also drives greater investment in green production. While subsidies encourage blockchain adoption, they are not a sustainable long-term strategy for governments. Ultimately, the evolutionarily stable strategy for SCs involves a balanced investment in both green production and blockchain or green production alone, depending on market characteristics and cost-sharing structures.
Lawrence Martin Mankata, Prince Antwi-Afari, S. Thomas Ng
The construction industry's shift to a circular economy has been hindered by multiple challenges. The emergence of blockchain has however demonstrated promising potential in overcoming these barriers. Nonetheless, there is limited research regarding the system implementation dynamics of blockchain-based circular economy applications within the construction supply chain. This paper proposes a blockchain-based construction supply chain framework for advancing circular economy in the construction industry . Systematic Evidence Synthesis (SES), prototyping, and case study triangulation approaches are adopted to review, experiment, and validate the findings. Relevant exploratory and experimental cases are identifed from Scopus and Web of Science databases for the SES process . The initial findings highlighted the main implementation domains, to include material passports, waste trading, and reverse logistics. Hyperledger and Ethereum are further identifed as the leading implementation platforms for developing prototypes. The key challenges identified from prototype development included, limited simulation samples, limited performance scalability, and uncertainty with return on investment . To address the challenges and gaps identified, a blockchain-based circular construction supply chain (BCCSC) framework is proposed. Modules from the proposed framework are experimented through a proof-of-concept prototype to demonstrate feasibility. Finally, selected cross-industry cases were triangulated to draw conceptual parallels and potential drawbacks in implementation. Through a blockchain-based web marketplace, stakeholder interactions in the construction supply chain can be deepened to support circular business models. Furthermore, the framework's modularization allows for easy scalability and practical implementation. Recommendations are made towards research in cost reduction and enhanced collaboration strategies, as well as developing full-scale modules to demonstrate end-to-end functionality.
Tianjiao Wang, Abdullah Al Mamun, Mohammad Masukujjaman, Qing Yang
The growing complexity and vulnerability of global supply chains underscore the need for robust frameworks to enhance resilience and sustainability. This quantitative study investigates the enablers of supply chain resilience and examines its dual role as both a direct contributor to sustainability performance and a mediator in the relationship between blockchain technology and sustainability outcomes. A cross-sectional approach was used to collect 387 valid responses from medium- and large-scale logistics firms operating in four major logistics hub cities in China. The data were analyzed using a structural equation modeling approach by applying partial least squares structural equation modeling. The results show that the proposed model explains 37.4% of the variance in SCR (R² = 0.374), 25.2% in economic performance (R² = 0.252), and 30.3% in environmental performance (R² = 0.303). Among the blockchain capabilities, transparency (β = 0.264, p = 0.001) and transaction cost efficiency (β = 0.212, p = 0.000) had the strongest direct effects on SCR, while value co-creation (β = 0.371, p = 0.000) significantly mediated the path between SCR and sustainability outcomes. Furthermore, multi-group analysis revealed significant differences based on firm size and operational tenure, such as a stronger effect of value chain integration on SCR among firms operating for eight years or less (β = 0.421, p = 0.022). Theoretically, this study integrates the multidimensional dynamic capabilities perspective with transaction cost economics, providing a nuanced understanding of blockchain’s role in enhancing supply chain resilience and sustainability, and enriching dynamic capability theory. Practically, it offers actionable insights for practitioners and policymakers by identifying enablers and barriers to blockchain adoption and emphasizing the need for standardized frameworks and supportive policies. This study advances the understanding of blockchain’s transformative potential for building resilient, adaptive, and sustainable supply chains amid global volatility.
Abstract The adoption of blockchain technology in supply chain management has gained significant attention due to its potential to enhance transparency, traceability, and accountability. However, successful blockchain implementation requires careful consideration of governance, regulatory, and ethical dimensions. Through a narrative literature review, this paper examines how blockchain can be effectively leveraged in sustainable supply chains, focussing on governance challenges and policy considerations. The review reveals significant gaps in current understanding of blockchain governance, including a lack of standardisation, limited integration between technical and institutional aspects, and insufficient attention to ethical implications. The analysis provides a comprehensive examination of the regulatory landscape, identifying critical areas requiring policy attention and suggesting pathways for implementation. The paper contributes to the literature by synthesising the current understanding of governance challenges and proposing policy directions for addressing these gaps. As blockchain technology continues to evolve, the paper emphasises the need for balanced governance approaches that promote innovation while ensuring responsible implementation across supply chain ecosystems.
Abstract The Bangladesh Readymade Garments (RMG) industry faces increasing pressure to enhance sustainability and transparency across its complex supply chain. This research develops a blockchain-based Green Supply Chain Management (GSCM) framework to address these challenges. Through a structured review of existing literature, the study identifies key sustainability challenges in GSCM and explores how blockchain can help overcome these challenges, thereby providing a foundation for developing a blockchain-based GSCM framework. The proposed framework facilitates the end-to-end monitoring of sustainability practices, from the procurement of raw materials to the production of finished garments, by utilizing the immutability and transparency of blockchain technology. Smart contracts enforce predefined sustainability criteria, ensuring stakeholder accountability while providing real-time data to drive continuous improvements in resource efficiency and overall sustainability performance. This research addresses a critical gap in the existing literature by proposing a context-specific framework that integrates transparency and sustainability functionalities within a blockchain-based GSCM system. The framework aligns with relevant Sustainable Development Goals (SDGs) and offering a novel approach to achieving a more transparent, accountable, and sustainable future for the Bangladesh RMG industry.
Corruption in public procurement remains a challenge to good governance, especially in developing nations. Blockchain technology has been espoused as a new paradigm for achieving sustainable public procurement practices for effective service delivery and, by extension, promoting sustainable development. Given the potential of blockchain technology, its implementation has been slow in developing countries. Additionally, there is an inadequate decision support framework to prioritize corruption-prone stages of the public procurement cycle for strategic blockchain integration at the most critical corruption-prone stages of the public procurement cycle given the scarce resources available in developing countries. Therefore, we employed a matured theory that is the principal-agent theory to identify key agency problems related to public procurement in developing countries. An interview with 25 experts and a thorough review of Ghana’s Auditor General produced seven public procurement cycle stages. Further, a survey was designed for experts and stakeholders to prioritize the identified procurement stages under the agency problems through the Analytic Hierarchy Process (AHP). Our results revealed that tender evaluation was the most critical stage susceptible to corruption, followed by contract management and procurement planning in the public procurement stages. Additionally, for the relative importance of the criteria, information asymmetry was ranked first, followed by moral hazard, and then adverse selection. This study offers a targeted framework for blockchain deployment in public procurement from an African country perspective. The outcome of this study provides insights for policymakers and procurement practitioners to know the most critical stages of public procurement stages and leverage blockchain technology given the scarcity of resources in developing countries to aid sustainable public procurement. The proposed blockchain framework can enhance service delivery, citizens’ trust, and international donor confidence in partnership and funding for public procurement projects in developing countries.
ABSTRACT Blockchain technology, when combined with smart contracts, enables buyers to distinguish between greenwashed and genuinely eco‐friendly products. The presence of counterfeit items can severely impact supply chains by diminishing brand value, eroding consumer confidence, and undermining market trust. This article explores how smart contracts can help mitigate the circulation of counterfeit goods and safeguard brands by establishing institutional trust through tamper‐proof data, enhanced transparency, and improved traceability. Information asymmetry on digital marketing platforms significantly contributes to the proliferation of greenwashed counterfeit goods. We introduce an infection‐leakage model based on anecdotal case evidence to explain the interactions between different market types. The transition from relying solely on traditional written contracts, certifications, and brands to incorporating blockchain and smart contract technology is analyzed for its potential to strengthen supply chains and curtail the spread of counterfeit greenwashed products. Blockchain technology provides consumers with detailed product information, empowering them to choose authentic green products over counterfeit “lemons.” Our theoretical framework suggests that this shift to blockchain smart contracts can reduce the transaction costs associated with counterfeit infiltration, thereby protecting brands and the intellectual property rights of authentic sustainable products.
Marta Rinaldi, Mario Caterino, Stefano Riemma, Roberto Macchiaroli · 5 authors
Background: Emergency scenarios present unprecedented challenges for supply chains worldwide, particularly in the management and distribution of critical supplies, where timely delivery and maintaining integrity are crucial. Methods: This article explores an innovative approach to enhance the emergency management of supply chains using blockchain technology and simulation-based modelling. The proposed methodology aims to tackle issues such as transparency, efficiency, and security, which are vital for managing logistics during crises. A case study involving a vaccine rollout is used to demonstrate how blockchain can optimise supply chain operations, reduce bottlenecks, and ensure better traceability and accountability throughout the process. The case study is specifically developed based on the distribution of COVID-19 vaccines in Italy. Results: The integration of blockchain technology not only enhances data integrity and security but also facilitates real-time monitoring and decision-making. Conslusions: The findings suggest that the proposed blockchain-based model can significantly improve supply chain resilience in emergency situations compared to traditional methods, thereby offering valuable insights for policymakers and supply chain managers facing future crises.
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.
This study aims to explore the impact of key drivers on the integration of blockchain technology implementation and green innovation practices within green supply chains. This study combines the TOE and TAM frameworks to identify six key driving factors that in the proposed model. A survey was conducted with Vietnamese enterprises, resulting in 328 valid responses from senior managers across various sectors. The PLS-SEM approach was conducted to analyze the relationships between the variables and to gain deeper insights into their interactions. The research findings highlight the significant potential of adopting blockchain and green innovation programs to enhance organizational performance. Six essential factors act as key drivers for implementing these initiatives, exerting a positive influence. Among them, Perceived Usefulness, Organizational Readiness, and Partnerships emerge as the three most influential variables within this research framework. Our research offers several valuable implications, both theoretical and practical. The structural framework model provides empirical evidence demonstrating the feasibility of achieving expected benefits for green supply chains, particularly in emerging economies such as Vietnam. Thus, these results serve as valuable references for senior managers and policy makers.
Abstract Centrally administrated systems have historically facilitated inter-organizational data exchange in supply chains (SC), relying on the message standard electronic data interchange (EDI). However, the current use of EDI fails to meet information needs, as point-to-point interfaces complicate information sharing among multiple partners and batch processing lacks real-time capabilities. This results in information asymmetries, leading to inefficiencies. Distributed ledger technology (DLT), which offers decentralized communication and data storage, presents a potential solution. In this paper, we present a systematic literature review comparing the centralized architectures utilizing EDI applications with the decentralized architecture of DLT within SCs. We identified the limitations of the current systems and assessed whether DLT offers a solution. The findings show that DLT enhances real-time data exchange, automation potential, and transparency, but also faces shortcomings. Integrating EDI with DLT offers a promising approach to leverage synergies and address the weaknesses of both technologies, e.g., lacking standards for DLT.
It is becoming harder to manage the growing amounts of waste generated daily at an increasing rate. These problems require an efficient solution that guarantees effectiveness and transparency and maintains trust within the community. To improve the process of traditional waste management, we proposed a unique solution, “GREENLINK”, which uses a combination of blockchain technology with the concept of zero-knowledge proofs (ZKPs), non-fungible tokens (NFTs), and Walrasian equilibrium. Zero-knowledge proofs (cryptographic protocols) are used to verify organizations and prove compliance (e.g., certification, recycling capacity) without disclosing sensitive information. Through an iterative bidding process, the proposed framework employs Walrasian equilibrium, a technique to balance supply and demand, guaranteeing equitable pricing and effective resource distribution among participants. The transactions and waste management activities are securely recorded on an immutable ledger, ensuring accountability, traceability, and transparency. The performance of the proposed model is evaluated. Parameters like average latency, TPS, and memory consumption are calculated using Hyperledger Caliper (a blockchain performance benchmark framework).