Blockchain technology is gaining momentum across many sectors. Whereas blockchain solutions have important positive effects on the business domain, they also introduce constraints and may cause delayed or unforeseen negative effects, undermining business strategies. The diversity of blockchain patterns and lack of standardized frameworks linking business goals to technical design decisions make pattern selection a complex task for system architects. To address this challenge, we propose Blockchain--Technology-Aware Enterprise Modeling (BC-TEAEM), a decision support framework that combines ontologies of blockchain patterns and domain-independent soft goals with a multi-criteria decision-making approach. The framework focuses on the interplay between a domain expert and a technical expert to ensure alignment and traceability. By iteratively capturing and refining preferences, BC-TEAEM supports systematic selection of blockchain patterns. We develop a prototype decision support tool implementing our method and validate it through a case study of a pharmaceutical company's supply chain traceability system, demonstrating the framework's applicability. %a supply chain traceability case study.

翻译：区块链技术正在多个领域加速发展。尽管区块链解决方案对业务领域具有重要的积极影响，但也引入了约束条件，并可能导致延迟或未预见的负面效应，从而损害业务策略。区块链模式的多样性以及缺乏将业务目标与技术设计决策相连接的标准框架，使得模式选择成为系统架构师面临的复杂任务。为应对这一挑战，我们提出了区块链技术感知的企业建模（BC-TEAEM），这是一个结合区块链模式本体、领域无关软目标与多准则决策方法的决策支持框架。该框架聚焦于领域专家与技术专家之间的互动，以确保一致性与可追溯性。通过迭代捕获和细化偏好，BC-TEAEM支持系统性地选择区块链模式。我们开发了一个实现该方法的原型决策支持工具，并通过一家制药公司供应链追溯系统的案例研究进行验证，展示了该框架的适用性。