Factors Affecting the Use of Blockchain Technology in Humanitarian Supply Chain: A Novel Fuzzy Large-Scale Group-DEMATEL.

IF 3.6 4区 管理学 Q2 MANAGEMENT
Lu Chen, Ayad Hendalianpour, Mohammad Reza Feylizadeh, Haiyan Xu
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引用次数: 3

Abstract

Based on previous evidence, the use of blockchain for improving Supply Chains (SCs) regarding humanitarian projects has received attention over the past five years. The present study is innovative in investigating crucial parameters affecting the using of Blockchain Technology (BT) in Humanitarian Supply Chains (HSCs). More precisely, this study emphasizes parameters that affect blockchain in the HSCs and presents a new fuzzy large-scale group decision-making trial and evaluation laboratory (fuzzy large-scale group-DEMATEL) approach to analyze the interdependence of contributing factors for using BT in HSCs. This method consists of two stages: (1) clustering the large-scale group-experts into small subgroups by their characteristics, and (2) identifying the key factors affecting BT in HSCs with a novel fuzzy large-scale group-DEMATEL approach. According to experts, in this study, among the 25 evaluated factors, disintermediation has been identified as the most important one, followed by anonymity and security. A closer look reveals that 13 and 12 factors have been "cause" and "effect" factors, respectively. Our research can be used to promote the effectiveness of using BT in HSCs, so as to promote the proper distribution of relief materials in practical disasters.

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影响区块链技术在人道主义供应链中应用的因素:一种新的模糊大规模群体- dematel。
根据之前的证据,在过去的五年中,使用区块链来改善人道主义项目的供应链(SCs)受到了关注。本研究在调查影响在人道主义供应链(hsc)中使用区块链技术(BT)的关键参数方面具有创新性。更准确地说,本研究强调了影响hsc中区块链的参数,并提出了一种新的模糊大规模群体决策试验和评估实验室(模糊大规模群体- dematel)方法来分析hsc中使用BT的影响因素的相互依赖性。该方法分为两个阶段:(1)根据大群体专家的特征将其聚类到小群体中;(2)采用一种新的模糊大群体dematel方法识别影响造血干细胞BT的关键因素。据专家介绍,在本次研究中,在25个评估因素中,非中介化被确定为最重要的因素,其次是匿名性和安全性。仔细一看,有13个和12个因素分别是“因”和“果”因素。我们的研究可以用来促进BT在hsc中的应用效果,从而促进实际灾害中救援物资的合理分配。
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来源期刊
CiteScore
5.70
自引率
6.70%
发文量
32
期刊介绍: The idea underlying the journal, Group Decision and Negotiation, emerges from evolving, unifying approaches to group decision and negotiation processes. These processes are complex and self-organizing involving multiplayer, multicriteria, ill-structured, evolving, dynamic problems. Approaches include (1) computer group decision and negotiation support systems (GDNSS), (2) artificial intelligence and management science, (3) applied game theory, experiment and social choice, and (4) cognitive/behavioral sciences in group decision and negotiation. A number of research studies combine two or more of these fields. The journal provides a publication vehicle for theoretical and empirical research, and real-world applications and case studies. In defining the domain of group decision and negotiation, the term `group'' is interpreted to comprise all multiplayer contexts. Thus, organizational decision support systems providing organization-wide support are included. Group decision and negotiation refers to the whole process or flow of activities relevant to group decision and negotiation, not only to the final choice itself, e.g. scanning, communication and information sharing, problem definition (representation) and evolution, alternative generation and social-emotional interaction. Descriptive, normative and design viewpoints are of interest. Thus, Group Decision and Negotiation deals broadly with relation and coordination in group processes. Areas of application include intraorganizational coordination (as in operations management and integrated design, production, finance, marketing and distribution, e.g. as in new products and global coordination), computer supported collaborative work, labor-management negotiations, interorganizational negotiations, (business, government and nonprofits -- e.g. joint ventures), international (intercultural) negotiations, environmental negotiations, etc. The journal also covers developments of software f or group decision and negotiation.
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