Zhu-Jun Wang, Yangyang Sun, Qin Su, Muhammet Deveci, Kannan Govindan, Mirosław J. Skibniewski, Zhen-Song Chen
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引用次数: 0
摘要
极端天气（EW）事件日益频繁，给预制建筑供应链（PCSC）的正常运营带来了重大隐患。本研究旨在利用智能合约提高预制建筑供应链抵御极端天气的能力。本研究提出了一种智能合约应用原型，以减轻 EW 对 PCSC 造成的风险。此外，该研究还利用技术-组织-环境框架确定了影响 PCSC 采用智能合约的 28 个潜在障碍。此外，论文还提出了一种基于多目标优化的群体决策方法，用于评估在 PCSC 中采用智能合约的可行性。然后，对来自 PCSC 各个环节的 50 名利益相关者进行了在线调查，以收集对智能合约采用的见解。结果表明，利益相关者对智能合约的认知度和当前的企业水平是对决策影响最大的因素。这项研究将智能合约的应用扩展到了 PCSC 内部的风险管理，为利益相关者提供了宝贵的见解，帮助他们增强应变能力，积极应对 EW 的不利影响。
Smart Contract Application in Resisting Extreme Weather Risks for the Prefabricated Construction Supply Chain: Prototype Exploration and Assessment
The increasing frequency of extreme weather (EW) events has created significant vulnerabilities in the normal operations of the prefabricated construction supply chain (PCSC). This study aims to enhance the resilience of the PCSC against EW by utilizing smart contracts. The study proposes a prototype smart contract application to mitigate the risks posed by EW to the PCSC. Additionally, it identifies 28 potential barriers affecting smart contract adoption in the PCSC using the Technology-Organization-Environment framework. Furthermore, the paper presents a multi-objective optimization-based group decision-making method to assess the feasibility of smart contract adoption in the PCSC. An online survey was then conducted among 50 stakeholders from various links of the PCSC to gather insights into smart contract adoption. The results indicate that stakeholder awareness of smart contracts and the current corporate level are the most influential factors in decision-making. This research extends the application of smart contracts to risk management within the PCSC, offering valuable insights for stakeholders to enhance resilience and address the adverse effects of EW proactively.
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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