Follow blockchain research across journals, conferences, and preprint repositories.
1,173 results · page 22 of 49
Fatemeh Esmaeilnezhad Tanha, Aliakbar Hasani, Saqib Hakak, Thippa Reddy Gadekallu
No abstract is available for this record.
Thanh Tuan Chu, Thi Thu Tra Pham
The agri-food supply chain has been a popular research topic in recent years. The combination of a demand for products of high quality and safety standards and the increasing number of stakeholders in supply chain networks has required the agri-food business to transform from vertically integrated to vertically operated supply chain networks. Nevertheless, this traditional agri-food supply chain form has exposure to some drawbacks. Meanwhile, blockchain technology as a disruptive technology today has the potential to provide value-added contributions towards multiple-disciplinary applications. Blockchain technology gains success and proves its functionality in improving the current supply chain by ensuring traceability, transparency and efficiency across the network from farmer to consumer. Therefore, the purpose of this paper is to review the existing literature on vertical coordination in the supply chain and its mechanism and to develop a framework that explores how blockchain technology can address the challenges in coordination mechanisms. Furthermore, taking the current Vietnamese vertical coordination cashew supply chain as a case study, this research is based on the proposed framework to suggest a solution combining blockchain and other relative technologies for the Vietnamese cashew business. This paper will close a research gap, as the blockchain-based supply chain for Vietnam cashew nuts has potential benefits for each supply chain actor in terms of effectiveness in operations, costs and time-saving, and human resources.
Sven Markus, Paul Buijs
Purpose This paper aims to contribute to the debate about the value of blockchain for supply chain management by assessing empirical evidence on the relationship between blockchain and supply chain performance. Design/methodology/approach The authors conducted a structured review of the academic literature to identify and assess papers providing empirical insight on operational blockchain applications. The authors complement the findings from this review with primary empirical data from 11 interviews with blockchain providers, users and experts involved in four recent projects. Findings The paper presents an integrated research framework that illustrates the impact of blockchain on supply chain performance. The findings highlight that blockchain can affect supply chain performance directly – via one of its core technological features – and indirectly via the broader business project through which blockchain technology is implemented. Practical implications Insights from this paper should provide managers with a more nuanced understanding of how blockchain technology can be leveraged to address important supply chain management challenges. Originality/value Prior research addressing the relationship between blockchain and supply chain performance mostly discusses potential performance effects of blockchain, presents individual blockchain applications and/or provides little explanation for how the core technological features of blockchain affect supply chain performance. This paper systematically assesses the ways in which blockchain can affect supply chain performance. In doing so, it goes beyond the initial hype around blockchain technology while countering some of the more recent critiques.
Aamir Rashid, Syed Baber Ali, Rizwana Rasheed, Noor Aina Amirah · 5 authors
Purpose This paper aims to find the impact of blockchain supply chain on supply chain performance with a mediating role of supplier trust, traceability and transparency. Design/methodology/approach Data was collected using the purposive sampling technique on a five-point Likert scale from 150 respondents. For data analysis, IBM SPSS and Smart PLS 3.3.7 were used to test the hypotheses by evaluating the structural equation modeling. Findings The blockchain supply chain found a significant effect on supply chain performance. Moreover, there is a substantial effect of the blockchain supply chain on supply chain performance via mediators, including supplier trust, supply chain traceability and supply chain transparency. Further, the mediation type of all mediators was full mediation in the relationships between blockchain supply chain and supply chain performance. Research limitations/implications The research findings are helpful for industrialists, supply chain practitioners and policymakers. The practitioners can adopt blockchain technology to enhance inter-organizational collaboration, develop trust, data visibility and traceability, and critical decisions, ultimately bringing sustainable growth for the firm. Originality/value The outcomes of this research enrich the literature and share the impact of one of the most trending technologies in the supply chain perspective. Future research can empirically test the relationship between blockchain and supply chain sustainability.
Mohamad Sadegh Sangari, Atefeh Mashatan
No abstract is available for this record.
Simón Fernández-Vázquez, Rafael Rosillo, David de la Fuente, Javier Puente
Purpose The analytical hierarchical process (AHP)’s main purpose is to assess higher hierarchy levels based on the cooperation of its various levels. It results in a well-designed model-based method in which the weights for the selected attribute are calculated using dimensions, criteria, and indicators. This paper aims to highlight the benefits of blockchain in supply chain management with the help of a literature review along with opinions of experts from various sectors. Design/methodology/approach With the goal of enhancing the use of blockchain technology in supply chain management, particularly when comparing within the same industry, the AHP methodology has been used. In order to develop the AHP model, a total of eight elements are examined in this study, which are decentralization, resiliency, security, smart contracts, sustainability, traceability, transparency and trust. A calculation of a Desirability Index for conventional supply chain and blockchain-enabled supply chains has been also developed. Findings Findings where that in a blockchain-enabled supply chain, the global weights of individual benefit variables are considerably larger than in conventional supply chains. When the score of the Desirability Index for conventional supply chain and blockchain-enabled supply chain is compared, the blockchain-enabled supply chain significantly surpasses the conventional supply chain in terms of increasing sustainable development in today’s supply networks. Originality/value This study takes into account the AHP methodology applying it on blockchain. This has not been done before in the academic world, at least as far as the authors may be aware of. The originality of combining such process with a recent technology such as blockchain highlights the value of this research.
Md Mamunur Rashid, Suk‐Hwan Lee, Piljoo Choi, Ki‐Ryong Kwon
Despite substantial advancements in healthcare systems and management, little progress has been achieved in addressing supply chain constraints such as, inefficient purchasing, ordering, predicting, and administration procedures. Healthcare authorities needs to effectively manage the healthcare supply chain processes not just during pandemics like COVID-19, but also in their everyday operations to guarantee best possible services. Product recalls, product supply shortage monitoring, expiry, and counterfeiting are some of the critical healthcare supply chain operations which must be ensured. Our suggested solution combines blockchain technology and distributed storage to increase transparency, improve stakeholder communication, and shorten product procurement timelines while eliminating crucial disparities and faults. We present a generic framework for the healthcare supply chain, equipped with comprehensive algorithms showing various stakeholder interactions. Our system uses the Ethereum network to link all parties, including the healthcare authority, manufacturer, wholesaler, retailer, and healthcare provider. Remix IDE platform was used to develop and test the smart contract codes. As decentralized storage, we have used the combination of InterPlanetary File System (IPFS) and Hyperledger Fabric. We have also examined a variety of security issues, provided a cost analysis of the various transactions proposed in our solution while making comparison with similar blockchain-based solutions.
David Dreer, Andy Weeger
Distributed ledger technology (DLT) like blockchain technology (BCT) is expected to have the power to improve sustainability in supply chains. To summarize and organize the insights of research in information systems (IS) on how BCT relates to transparency and, ultimately, sustainability of supply chains, this paper conducts a structured literature review. In total 46 articles have been identified and analyzed. The analysis shows that the potential of BCT to facilitate transparency in supply chains and thus enable sustainability measures stems from its decentralized and distributed nature. Further, BCT does not unfold this potential on its own; rather it is a technology that complements existing IS used to manage inter-organizational transactions. Overall, the paper contributes to the literature by providing a deeper insight into the possibilities, features, and merits of BCT in the SCM context, mainly focusing on transparency and sustainability matters. Summarizing and organizing the advantages of BCT and the shortcomings of existing IS used in SCM as discussed in prior research, this paper emphasizes that BCT needs to be considered as a complementary technology. Viewing BCT as such and implementing at such, BCT has great potential to support sustainability efforts significantly.
Tianyu Zhang, Peiwu Dong, Xiangfeng Chen, Yu Gong
No abstract is available for this record.
Manimuthu Arunmozhi, V. G. Venkatesh, Sobhan Asian, Yangyan Shi · 5 authors
No abstract is available for this record.
Thomas Kitsantas, Evangelos Chytis
A plethora of studies have examined the emerging technology of blockchain and its applications in accounting, management, and enterprise resource planning systems (ERPs). Blockchain technology (BT) can change the architecture of today’s ERPs and overcome the limitations of these centralized systems. The aim of this study is twofold. First, this paper defines and analyzes the deployment of an innovative architecture of a Blockchain as an Ecosystem (BaaE) platform proposing a conceptual model of the Triple Entry Accounting (TEA) transforming the current accounting practices. Second, the paper explores the integration of cost management, supply chain, and inventory management on BT providing the significant challenges and benefits and suggesting an agenda for future research. The authors conduct an exploratory qualitative analysis of an extensive body of literature, from 81 journals. The paper’s innovative contribution and primary objective is to explore, address, and employ this emerging BaaE platform technology that could potentially be integrated with TEA. Further, the study examines the theoretical, technical, and business aspects regarding TEA, since there is limited research evidence in this field. Additionally, the study tries to identify the implications of BaaE in the area of cost management, supply chain, and inventory management from an ecosystem perspective. This effort can assist organizations and practitioners in understanding and further examining this emerging technology.
Karthik Bajar, Aditya Kamat, Saket Shanker, Akhilesh Barve
Purpose In recent times, reverse logistics (RL) is gaining significant traction in various automobile industries to recapture returned vehicles’ value. A good RL program can lower manufacturing costs, establish a green supply chain, enhance customer satisfaction and provide a competitive advantage. However, reducing disruptions and increasing operational efficiency in the automobile RL requires implementing innovative technology to improve information flow and security. Thus, this manuscript aims to examine the hurdles in automobile RL activities and how they can be effectively tackled by blockchain technology (BCT). Merging BCT and RL provides the entire automobile industry a chance to generate value for its consumers through effective vehicle return policies, manufacturing cost reduction, maintenance records tracking, administration of vehicle information and a clear payment record of insurance contracts. Design/methodology/approach This research is presented in three stages to accomplish the task. First, previous literature and experts' opinions are examined to highlight certain factors that are an aggravation to BCT implementation. Next, this study proposed an interval-valued intuitionistic fuzzy set (IVIFS) – decision-making trial and evaluation laboratory (DEMATEL) with Choquet integral framework for computing and analyzing the comparative results of factor interrelationships. Finally, the causal outline diagrams are plotted to determine the influence of factors on one another for BCT implementation in automobile RL. Findings This study has categorized the barriers to BCT implementation into five major factors – operational and strategical, technical, knowledge and behavioral, financial and infrastructural, and government rules and regulations. The results revealed that disreputable technology, low-bearing capacity of IT systems and operational inefficiency are the most significant factors to be dealt with by automobile industry professionals for finer and enhanced RL processes utilizing BCT. The most noticeable advantage of BCT is its enormous amount of data, permitting automobile RL to develop client experience through real-time data insights. Practical implications This study reveals several factors that are hindering the implementation of BCT in RL activities of the automobile industry. The results can assist experts and policymakers improve their existing decision-making systems while making an effort to implement BCT into the automobile industry's RL activities. Originality/value Although there are several studies on the benefits of BCT in RL and the adoption of BCT in the automobile industry, individually, none have explicated the use of BCT in automobile RL. This is also the first kind of study that has used IVIFS-DEMATEL with the Choquet integral framework for computing and analyzing the comparative results of factor interrelationships hindering BCT implementation in automobile RL activities.
Lei Yang, Muyi Gao, Lipan Feng
No abstract is available for this record.
Shuai Liu, Guowei Hua, Yuxuan Kang, T.C.E. Cheng · 5 authors
No abstract is available for this record.
Muhammad Azeem Akbar, Víctor Leiva, Saima Rafi, Syed Furqan Qadri · 6 authors
Abstract Healthcare systems face various issues related to complex networks of intermediaries and a lack of transaction traceability. The most critical issues are the fragmentation of healthcare data, obstacles in providing efficient research and services, lack of clinical trial reporting, high cost and mismanagement of the drug supply chain, patient data security, and fake drugs. Blockchain technology has the potential to address these criticalities as it has in build traceability mechanisms and promises new business models by enabling incentive structures. This potential of blockchain gathers a high interest in the health industry. However, the implementation of blockchain in healthcare faces various issues as well. Currently, there are no practice‐oriented maturity models to improve such an implementation. In this paper, we present a roadmap to develop a maturity model for blockchain in healthcare (MMBH) based on critical barriers (CBs), critical success factors (CSFs), and the best practices for blockchain implementation in healthcare systems. As a first step to develop the MMBH, in this paper, we present the initial results of a systematic literature review (SLR) to identify critical success factors for implementing blockchain in healthcare systems. We also applied fuzzy technique order preference by similarity to ideal solution (TOPSIS) to prioritize the identified CSFs.
Sachin Yadav, Surya Prakash Singh
No abstract is available for this record.
Chunguang Bai, Joseph Sarkis
No abstract is available for this record.
Takeshi Miyamae, Satoru Nishimaki, Makoto Nakamura, Takeru Fukuoka · 5 authors
We have several issues in most current supply chain management systems. Consumers want to spend money on environmentally friendly products, but they are seldomly informed of the environmental contributions of the suppliers. Meanwhile, each supplier seeks to recover the costs for the environmental contributions to re-invest them into further contributions. Instead, in most current supply chains, the reward for each supplier is not clearly defined and fairly distributed. To address these issues, we propose a supply-chain contribution management platform for fair reward distribution called ‘Advanced Ledger.’ This platform records suppliers' environ-mental contribution trails, receives rewards from consumers in exchange for trail-backed fungible tokens, and fairly distributes the rewards to each supplier based on the contribution trails. In this paper, we overview the architecture of Advanced Ledger and 11 technical features, including decentralized autonomous organization (DAO) based contribution verification, contribution concealment, negative-valued tokens, fair reward distribution, atomic rewarding, and layer-2 rewarding. We then study the requirements and candidates of the smart contract platforms for implementing Advanced Ledger. Finally, we introduce a use case called ‘ESG token’ built on the Advanced Ledger architecture.
Eduardo Bolonhez, Thuener Silva, Bruno Fanzeres
No abstract is available for this record.
Jian Zhang, Xuanjian Zhang, Wei Liu, Ji Ming · 5 authors
No abstract is available for this record.
Jaspreet Kaur, Satish Kumar, Balkrishna E. Narkhede, Marina Dabić · 6 authors
Abstract Small and medium enterprises (SMEs) in India are suffering from the long-standing challenges related to asymmetric information, high transaction costs, SMEs’ opacity and limited access to credit. Blockchain technology, which is still in its infancy in terms of adoption in India, can facilitate SMEs to counter these challenges. Fuelled by this motivation, the study aims to investigate the significant barriers to blockchain adoption in supply chain finance practices by Indian SMEs. Using fuzzy-analytic hierarchy process, sensitivity analysis, and fuzzy-decision-making trial and evaluation laboratory this paper identifies the blockchain barriers, prioritises them and examine their cause and effect relationships. The results of the study indicate that technology barriers are the most influential barriers that impede blockchain adoption. The findings will help the policymakers and practitioners to take suitable measures to overcome these barriers and fuel the adoption of blockchain in Indian SMEs.
Mustafa Rehman Khan, Fazeelat Masood, Irum Gul, Muhammad Rahies Khan
Purpose: The general objective of the study was to investigate blockchain technology in supply chain management. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings reveal that there exists a contextual and methodological gap relating to blockchain technology in supply chain management. Preliminary empirical review revealed that blockchain technology significantly transformed supply chain management by enhancing transparency, traceability, and efficiency. The immutable ledger and decentralized nature of blockchain provided a robust framework for addressing traditional supply chain challenges, such as fraud, errors, and inefficiencies. The technology’s ability to automate processes through smart contracts streamlined operations and reduced costs. However, challenges such as high initial investments, scalability issues, and the need for industry-wide standards were identified as barriers to widespread adoption. The study emphasized the importance of continued research to address these challenges and refine blockchain applications in supply chain management. Unique Contribution to Theory, Practice and Policy: The Theory of Transaction Cost Economics, Resource-Based View (RBV) of the Firm and Agency Theory may be used to anchor future studies on blockchain technology in supply chain management. The study recommended expanding theoretical frameworks to better incorporate blockchain technology's unique aspects into supply chain theories. Practically, organizations were advised to conduct pilot projects and phased rollouts to evaluate blockchain's impact before large-scale implementation, and to invest in training for effective technology management. Policy recommendations included the development of regulatory frameworks and industry standards to facilitate blockchain adoption. Collaboration among industry stakeholders was encouraged to address integration challenges and standardize solutions. Further research into specific applications and the integration of blockchain with other technologies was suggested, alongside investment in education and training programs for supply chain professionals.
Jiejun Hu, Martin J. Reed, Nikolaos Thomos, Mays Al-Naday · 5 authors
With the increasing demand for digitalization and participation in Industry 4.0, new challenges have emerged concerning the market of digital services to compensate for the lack of processing, computation, and other resources within Industrial Internet of Things (IIoTs). At the same time, the complexity of interplay among stakeholders has grown in size, granularity, and variation of trust. In this paper, we consider an IIoT resource market with heterogeneous buyers such as manufacturer owners. The buyers interact with the resource supplier dynamically with specific resource demands. This work introduces a broker between the supplier and the buyers, equipped with Distributed Ledger Technologies (DLT) providing a service for market security and trustworthiness. We first model the DLT-assisted IIoT market analytically to determine an offline solution and understand the selfish interactions among different entities (buyers, supplier, broker). Considering the non-cooperative heterogeneous buyers in the dynamic market, we then follow an independent learners framework to determine an online solution. In particular, the decision-making procedures of buyers are modeled as a Partially Observable Markov Decision Process which is solved using independent Q-learning. We evaluate both the offline and online solutions with analytical simulations, and the results show that the proposed approaches successfully maximize players’ satisfaction. The results further demonstrate that independent Q-learners achieve equilibrium in a dynamic market even without the availability of complete information and communication, and reach a better solution compared to that of centralized Q-learning.
Guangzhi Shang, Noyan Ilk, Shaokun Fan
Abstract The growing popularity of blockchain‐based cryptocurrencies is driven by the flexibility in transaction fee offerings, among other factors. To achieve service‐level differentiation among their users, many cryptocurrencies allow users to “name your own price,” giving rise to a large variation in fee offerings and hence, variation in confirmation times. Yet, the time it takes a cryptocurrency transaction to be confirmed in the blockchain is not only affected by the fee offered, but also by the contemporaneous congestion level and the inherent randomness in the verification process. Although it is generally expected that higher fees lead to quicker confirmation, the uniqueness of the cryptocurrency setting adds important nuances to the fee‐speed relationship. Using Bitcoin—the original and most heavily used cryptocurrency by far—as our empirical context, we stylize the transaction confirmation processes, propose a theoretical framework that maps the causal path from fee to speed, and estimate this framework using Bitcoin transaction data under periods of high volatility. Our results show strong evidence for two characteristics of fee's impact: congestion dependence and tail shrinkage. Our finding that the speed acceleration effect of fee is particularly strong on the tail of the confirmation time distribution motivates a target service level approach to fee recommendation. To put this finding into practice, we develop an efficient computational procedure that helps Bitcoin users accurately estimate fees based on their confirmation delay preferences. We discuss the implications of our analyses on future cryptocurrency development and the long‐term adoption of this revolutionary technology.