Performance Evaluation System for Blockchain-Based Food Supply Chain Traceability Service Platforms（data)

AHP data: This study invited 29 experts, among whom the majority (68.97%) "are relatively familiar with the platform, knowing its basic functions and main advantages". 86.21% of them are from enterprises, and the needs and practical experience of enterprises have a significant impact on the development direction of the platform. The relative importance of each evaluation index at each level was scored through pairwise comparison using the 1-9 scale method. FCE data: Evaluation data were obtained using the expert evaluation method. In terms of expert selection, the research team chose 24 enterprise-related personnel with practical experience in using blockchain platforms and long-term focus on food supply chain issues, as well as 1 research-oriented researcher who is familiar with the operation mechanism and ecological structure of blockchain-based food traceability platforms. The research questionnaire adopted a combination of guided reading and scoring evaluation.层次分析法（Analytic Hierarchy Process）数据集：本研究共邀请29位专家参与，其中68.97%的专家“相对熟悉该平台，知晓其基本功能与核心优势”。86.21%的专家来自企业，企业的需求与实践经验对该平台的发展方向具有显著影响。研究采用1-9标度法，通过两两对比的方式对各层级下各评价指标的相对重要性进行打分。 模糊综合评价法（Fuzzy Comprehensive Evaluation）数据集：本研究采用专家评价法获取评价数据。在专家遴选环节，研究团队选取了24名具备区块链平台使用实践经验且长期聚焦食品供应链议题的企业从业人员，以及1名熟悉基于区块链的食品溯源平台运行机制与生态结构的科研型研究员。本次研究问卷采用引导式阅读与评分评价相结合的形式开展。