Follow blockchain research across journals, conferences, and preprint repositories.
1,173 results · page 6 of 49
Yi Ding, Zeyu Pei, Changxin Cao
No abstract is available for this record.
Saumyaranjan Sahoo
Purpose The emergence of blockchain technology has the potential to bring about transformative changes in various industries, with supply chain management being a prominent domain of application. This study investigates the strategic performance benefits of using blockchain-enabled traceability systems for improving supply chain quality management. Design/methodology/approach The present study employed structural equation modelling to analyse data obtained from 200 practitioners working in Indian pharmaceutical companies. Findings The results reflect that blockchain-enabled traceability systems have a positive impact on multi-tier quality governance (MQG); supply chain process alignment and coordination (SPAC) and quality centric collaboration (QCC); all of which are the facets of supply chain quality management. Furthermore, when examining the impact of blockchain-enabled traceability systems on firm quality performance and economic performance, the mediation role of SPAC and QCC was confirmed, whereas the mediation role of MQG could not be established. Practical implications The study’s empirical insights offer practical guidance for pharmaceutical manufacturers, regulators and other industry participants seeking to harness the potential of blockchain technology for creating resilient and transparent supply chains that uphold product quality and safety standards. Originality/value These findings underscore the significance of blockchain-enabled traceability systems in revolutionizing supply chain quality management practices to achieve superior strategic performance in the pharmaceutical sector.
Bian Zhan, Zhang Hong-yan
Focusing on the dual-channel supply chain system consisting of capital-constrained manufacturers, banks, retailers and third-party platforms, considering the dual roles of retailers and third-party platforms as channel participants and loan providers, the optimal financing strategies of capital-constrained manufacturers under centralized decision-making and decentralized decision-making are studied respectively, and the influence of different initial capital levels on their financing strategy selection is explored. The results show that under centralized decision-making, the third-party platform financing strategy is always better than the bank financing strategy; under the condition of equal financing interest rates, if the initial capital level allows both financing strategies to be selected, the third-party platform financing strategy can more effectively solve the capital constraint problem than the bank financing strategy. Under decentralized decision-making, with the intensification of channel competition, the reduction of revenue sharing rate or production cost, or the increase of initial capital, manufacturers will tend to choose the retailer financing strategy; under the condition of equal financing interest rates, if the initial capital level allows all three financing strategies to be selected, the retailer financing strategy can more effectively solve the manufacturer's capital constraint problem than the other two financing strategies.
Jianghua Wu, Hongya Cheng, Luyao Li
No abstract is available for this record.
Srikant Gupta, Pooja Kushwaha
Purpose The purpose of our research on blockchain technology is to unveil its immense potential, understand its applications and implications and identify opportunities to revolutionize existing systems and processes. This research aims to inspire the creation of new innovative solutions for industries. By harnessing blockchain technology, organizations can pinpoint key areas that could significantly benefit from its use, such as streamlining operations, providing secure and transparent digital solutions and fortifying data security. Design/methodology/approach This study presents a robust multi-criteria decision-making framework for assessing blockchain drivers in selected Indian industries. We initiated with an extensive literature review to identify potential drivers. We then sought the opinions of experts in the field to validate and refine our list. This meticulous process led us to identify 26 drivers, which we categorized into five main categories. Finally, we employed the Best-Worst Method to determine the relative importance of each criterion, ensuring a comprehensive and reliable assessment. Findings The authors have ranked the blockchain drivers based on their degree of importance using the Best-Worst Method. This study reveals the priority of BC implementation, with the retail industry identified as the most in need, followed by the Banking and Healthcare industries. Various critical factors are identified where blockchain technology could help reduce costs, increase efficiency and enable new innovative business models. Research limitations/implications While this study acknowledges potential bias in driver assessment relying on literature and expert opinions, its findings carry significant practical implications. We have identified key areas where blockchain technology could be transformative by focusing on select industries. Future research should encompass other industries and real-world case studies for practical insights that could delve into the adoption challenges and benefits of blockchain technology in many other industries, thereby amplifying the relevance of our findings. Originality/value Blockchain is a groundbreaking, innovative technology with immense potential to revolutionize industries. Past research has explored the benefits and challenges of blockchain implementation in specific industries or sectors. This creates a gap in research regarding systematically classifying and ranking the importance of blockchain across different Indian industries. Our research seeks to address this gap by using advanced multi-criteria decision-making techniques. We aim to provide a comprehensive understanding of the significance of blockchain technology in critical Indian industries, offering valuable insights that can inform strategic decision-making and drive innovation in the country’s business landscape.
Raffaele Silvestri, Elisa Carloni, Domenico Morrone, Savino Santovito
The increasing adoption of blockchain technology (BCT) is transforming operations and relational dynamics within agri-food supply chains. Despite a growing number of studies, the impact of BCT on supply chain relationships remains underexplored. This research identifies the salient elements of the link between BCT and relationships. It explores these empirically to understand the impact of BCT adoption and implementation on supply chain relationships in the agri-food industry, relying on social exchange theory and focusing on trust, formal information flow mechanisms, and quality of information flows and communication. This study undertakes a multiple qualitative case study analysis of seven Italian companies involved in the agri-food industry operating in the wine, beer, and dairy sectors who are considered pioneers of BCT adoption. The results indicate a positive impact of BCT on the automation of supply chain contracts and operational efficiency, on one hand, and the increased quality of relationships, on the other. Supply chain coordination is required for BCT to be effective. In highly concentrated sectors, the contractual power exerted by big players is a vital factor, while in more fragmented and dispersed industries the role of persuasion, relationships, and supply chain contracts are key. Three key insights emerge and are discussed. These concern: (i) the rethinking of the role of trust in supply chain relationships impacted by the adoption of BCT; (ii) the enhancement of information-sharing and flow mechanisms in supply chain relationships through the adoption of BCT; and (iii) the optimization of information flow quality and communication dynamics through the adoption of BCT. This study contributes to the existing literature by providing novel empirical evidence regarding the impact of BCT on relationships. It further contributes to the existing literature by analyzing the impact of blockchain applications on the upstream and downstream levels of the supply chain from a management perspective and by identifying the beneficial exchanges, norms, and principles that shape interactions when BCT is implemented. • BCT does not substitute trust in relationships but supports its development. • BCT facilitates overcoming the digital divide in agri-food supply chains. • BCT mirrors at the supply chain level the role of ERP at the firm level. • The strengthening of relationships through BCT increases the negotiation power of the supply chain.
LUCAS ANTONIO RISSO, Gilberto Miller Devós Ganga, Luis Antonio de Santa-Eulália, Moacir Godinho Filho · 7 authors
No abstract is available for this record.
Magda Pineda, Daladier Jabba, Wilson Nieto, Alfredo J. Pérez
In recent years, consensus algorithms have gained significant importance in the context of blockchain networks. These algorithms play a crucial role in allowing network participants to reach agreements on the state of the Blockchain without needing a central authority. The present study focuses on carrying out a systematic mapping of these consensus algorithms to explore in detail their use, benefits, and challenges in the context of blockchain networks. Understanding consensus algorithms is essential to appreciating how blockchain networks achieve the reliability and integrity of their distributed ledgers. These algorithms allow network nodes to reach agreement on the validity of transactions and the creation of new blocks on the Blockchain. In this sense, consensus algorithms are the engine that drives trust in these decentralized networks. Numerous authors have contributed to the development and understanding of consensus algorithms in the context of blockchain networks. For example, Satoshi Nakamoto's (2008) original paper on Bitcoin introduced proof-of-work (PoW) as a method of achieving consensus on the network. This revolutionary concept paved the way for numerous cryptocurrencies and blockchain systems. Despite advances in this field, significant challenges remain: centralization, fair token distribution, scalability, and sustainability. The energy consumption of blockchain networks, particularly those using algorithms such as Proof of Work, Proof of Stake, Delegated Proof of Stake, Proof of Authority, and hybrid algorithms (Proof of Work/Proof of Stake), has raised concerns about their environmental impact, motivating the scientific and technological community to investigate more sustainable alternatives that promise to reduce energy consumption and contribute to climate change mitigation. Furthermore, interoperability between different blockchains and security in specific environments, such as IoT, are areas that still require significant research attention. This systematic mapping not only seeks to shed light on the current state of consensus algorithms in blockchain, but also their impact on sustainability, identifying those algorithms that, in addition to guaranteeing integrity and security, minimize the environmental footprint, promoting a more efficient use of energy resources, being a relevant approach in a context in which the adoption of sustainable technologies has become a global priority. Understanding and improving these algorithms are critical to unlocking the full potential of blockchain technology in a variety of applications and industry sectors.
Fangzhou Chen, Hadi Rezaei Vandchali, Wenming Shi, Mona Koushan · 5 authors
Blockchain technology holds the potential to revolutionise the logistics industry by sharing tamper-proof information in a decentralised manner, building trust among parties. However, adoption in the Australian logistics industry lags behind other sectors. This study uses fuzzy DEMATEL to investigate barriers to blockchain adoption, identifying thirteen key barriers within the technology-organisation-environment (TOE) framework. Cost of investment and integration difficulties among partners are the most prominent barriers, particularly within organisational contexts. The findings offer a theoretical foundation and practical insights for overcoming barriers and successfully implementing blockchain in logistics.
Yongxi Yi, Ao Fu, Yuqiong Li, Aoxiang Zhang
No abstract is available for this record.
Paulo César Galarza-Sánchez, Gerardo Alfredo Solano Gutiérrez
La globalización y la complejidad de las cadenas de suministro han destacado la necesidad de soluciones tecnológicas que mejoren la trazabilidad, transparencia y eficiencia. Este estudio tiene como objetivo comparar las principales plataformas blockchain aplicadas en la gestión de cadenas de suministro, explorando sus características, ventajas, limitaciones y casos de uso. A través de una metodología de análisis bibliográfico, se revisaron fuentes académicas de bases de datos reconocidas, utilizando palabras clave relevantes y criterios estrictos de inclusión y exclusión. Los resultados muestran que plataformas privadas, como Hyperledger Fabric, ofrecen mayor escalabilidad y control de acceso, mientras que plataformas públicas, como Ethereum, priorizan la transparencia, aunque presentan limitaciones en términos de velocidad y costos. Además, la integración de blockchain mejora la trazabilidad y transparencia en las cadenas, permitiendo un seguimiento en tiempo real y fomentando la confianza entre los actores. Sin embargo, factores como la falta de interoperabilidad, los altos costos iniciales y la resistencia al cambio organizacional limitan su adopción. En conclusión, blockchain puede transformar las cadenas de suministro, pero su implementación requiere superar barreras tecnológicas y culturales mediante estrategias colaborativas, estándares comunes y formación.
Xingfen Liu, Zhongbao Zhou, Minhui Hu, Feimin Zhong
No abstract is available for this record.
Zeshun Shi, Sydney Sweck, Omar Zaki
In the rapidly evolving decentralized finance (DeFi) ecosystem, ensuring efficient and interoperable transaction mechanisms is a critical challenge. To address this issue, this paper introduces a strategic optimization model for a blockchain-based token exchange platform. By leveraging the principles of Coincidence of Wants (CoWs) and multi-chain Automated Market Makers (AMMs), our model enhances interoperability and efficiency of token exchange in the DeFi space. Users specify their transaction intents and solvers compete to find the most efficient execution pathways, considering factors such as available liquidity and market constraints. This approach not only facilitates seamless cross-chain transaction flows, but also optimizes the efficiency of existing solvers and reduces the reliance on centralized mechanisms. To validate the effectiveness of the proposed model, we conducted extensive simulation experiments assessing the model's performance with various order inputs and AMM constraints. The results show that our optimization model significantly increases the transaction completion rate. This improvement ranges from 26.1 % to 46.1 % compared to the CoWs-only model under different experimental settings. This enhances user welfare and market fairness. The proposed optimization model has broad applicability to efficient and interoperable cross-chain token transactions. Thus, it has a significant potential impact on the DeFi landscape.
Qihui Lu, Changhua Liao, Victor Shi, Zeping Xu
No abstract is available for this record.
Kongmanas Yavaprabhas, Mehrdokht Pournader, Stefan Seuring
Existing studies into the roles of trust in blockchain applications within supply chains are fragmented. This paper seeks to address this issue by consolidating current knowledge and identifying various trustors and trust targets in blockchain applications in the supply chain literature. We conduct a bibliometric analysis of 192 relevant journal articles published between 2018 and 2022. We then identify 11 distinct clusters and analyse the trustors and trust targets within these clusters and leverage trust transfer theory to explain how a trustor's trust in one target can be transferred to another associated target in each cluster. We conclude by proposing two prospective research avenues focusing on trust transfer perspectives in blockchain applications in supply chain literature. The first avenue discusses the nuances in the trust transfer processes between voluntary and mandatory contexts of blockchain use. The second avenue highlights the underexplored trust transfer processes of various initial trust targets that can influence blockchain adoption.
Shiming Duan, M. Kazem Chamran, Mustafa Muwafak Alobaedy
The shortcomings of blockchain technology, previously concealed, are now known to specialists and academics as blockchain technology has grown in popularity. The most basic idea at the heart of centralized technology is interoperability, but connecting interoperation with blockchain will trigger more challenges. The fundamental cryptography of blockchain technology causes issues with interoperation across connected blockchains. Scholars are continually working on solutions for cross-chain operations from blockchain birth till now. Some of these measures ensure that tokens are equivalent to one another. Some of them rely on side-chain technology, and some of them rely on centralized trading centers. However, will the new solution be able to gather the experience of its predecessors and build a more complete blockchain cross-chain interoperability scheme? Is it feasible to create a global platform for cross-chain operations that would enable the interoperability of common blockchain features and provide solutions for the interoperability challenges posed by non-uniform aspects? This study strives to investigate the solution and viability of the solution using the action research approach by combining the papers and reports of earlier researchers. Finally, this paper proposes an easier-to-use cross-chain interoperability framework by synthesizing the experiences of previous scholars. Results show that this framework is the easiest to extend and interface. This framework can support cross-chain operations for all kinds of blockchain.
Leng Jie, Xin Qi, Daoqing Hao
No abstract is available for this record.
Moritz Böhmecke‐Schwafert
Blockchain technology has received increasing attention from academia, practitioners, and policymakers alike for its potential to disrupt business processes and structures of trade in global value chains (GVC). Amidst the ongoing digitization of economies and societies, blockchain holds promise for addressing unresolved challenges. However, current research on this topic primarily consists of either abstract conceptual work or case studies. To bridge this gap, our study conducts a systematic literature review, aiming to comprehensively explore and structure the realm of blockchain and its impact on international trade. Key research questions explored include: What role do blockchain innovations play in facilitating trade within GVC? Additionally, what are the primary barriers hindering the adoption of blockchain innovations in trade within GVC? Our main contribution lies in categorizing these applications into five distinct categories: Trade Documents; Trade Finance; Trusted Real-Time Information Sharing; Provenance; and Sustainable GVC. Contrary to portraying blockchain innovations as a panacea or universal solution, our findings highlight the technologies’ potential rather as a core technological infrastructure when integrated with complementary technologies such as the Internet of Things. Moreover, we identify 11 significant barriers to blockchain adoption in international trade, underscoring the need for concerted efforts to address them. From these insights, we derive implications for policymakers and practitioners, and propose avenues for future interdisciplinary research.
Maneerat Tangsakul, Panitas Sureeyatanapas
Blockchain technology has promising benefits and provides robust solutions for managing business processes. While prior studies have primarily explored its potential in supporting logistics and supply chain management, many practitioners still lack a clear understanding of how to leverage blockchain technology, hindering its adoption within the industry. Bridging this gap and addressing critical barriers requires further empirical research. This study adopts a comprehensive approach, identifying potential barriers through a literature review and validating their significance through the Index of Item-Objective Congruence (IOC). The study then delves into the interrelationships among the significant barriers, utilising Interpretive Structural Modelling (ISM) and MICMAC methods. The results highlight seven significant barriers within the logistics sector, encompassing a lack of government support, operational standards, top management support, limited public awareness, trust issues, technical challenges, and network collaboration difficulties. Notably, the lack of public awareness and inadequate governmental support form fundamental obstacles that drive various challenges. This research offers insights into the barriers that hinder the successful adoption of blockchain technology in logistics, proposing several mitigation strategies that are in line with the principles of open innovation.
Yajie Sun, Fan Wang, Xiaopo Zhuo
No abstract is available for this record.
Timo Rogalski, Dirk Schiereck
Abstract In the era of emerging technologies, many firms explore the role of blockchain technology and its impact on corporate market value. Past research has shown that companies benefit from executing blockchain projects, but little is known about specific value and risk drivers. Hence, we provide evidence for several conditions under which blockchain provides additional firm market value. Moreover, we test whether blockchain announcements lead to changes in the systematic risk of firms. Theoretically founded on the resource-based view, we utilize the event study methodology, supplemented by a multivariate regression and a firm’s beta analysis. We find that stock markets react positively to corporate blockchain news if the announcement is related to a blockchain consortium or partnership, is declared by a tech company, or if the announcement is a follow-up announcement to initial blockchain news. Moreover, our findings show that blockchain announcements do not lead to significant changes in a firm’s systematic risk.
Lin Jiang, Aibo Yao, Wei Li, Qi Wei
No abstract is available for this record.
Pengwen Hou, Tongling Feng, Yating Li, Shuxia Peng
With the rapid development of e-commerce, a large number of online platforms specialising in fresh product have entered the market. Previous studies have rarely considered how to efficiently deliver the product’s freshness status to customers. In this paper, we establish a game model that consists of two competitive online platforms, which operate vertically differentiated fresh product on the same market. The product freshness is uncertain due to the opaque delivery process and consumers may have the risk-averse attitude, while platforms could opt to deploy blockchain to trace the product’s logistic information in real time and eliminate the consumer’s risk-averse attitude. Our finding shows that when the platform competition and the consumer’s risk-averse attitude are high, both platforms would like to adopt blockchain technology; With the moderate platform competition and the consumer’s risk-averse attitude, neither platform wants to adopt blockchain technology. Otherwise, only one platform would like to adopt blockchain technology. Moreover, when one platform deploys blockchain, the other one can free ride and become better off. Finally, we analyse consumer surplus and social welfare under different scenarios. A win-win-win situation can be achieved among platforms, consumer surplus, and social welfare when both platforms deploy blockchain technology.
Fang Chang, Mingxiang Chi, Shuyi Fan, Tsan‐Ming Choi
No abstract is available for this record.