Purpose: Corporate R&D faces a persistent productivity paradox: rising investment and expanding scientific knowledge have not translated into proportional innovation output. In pharmaceuticals this is captured as Eroom's Law; analogous patterns appear across engineering, materials science, and healthcare. The core cause is not insufficient tools but cognitive saturation: researchers spend an increasing share of their effort on coordination, documentation, and data governance -- hidden work that displaces high-value hypothesis formation, interpretation, and strategic synthesis. Design/Methodology/Approach: The paper uses a Design Science Research (DSR) methodology. The artifact is the HARMONY operating model. Evidence is triangulated from four semi-structured expert interviews with senior R&D leaders across industrial, healthcare, and academic settings; a foresight scenario analysis projecting four plausible 2040 R&D futures; and pattern matching with documented agentic R&D deployments. Two non-negotiable design requirements guide the architecture: cognitive-load redistribution (DR1) and bounded autonomy with alignment (DR2). Findings: We propose HARMONY -- Hybrid Agentic Research Model for Organisational New Yield -- a four-pillar socio-technical architecture comprising ResOps (Industrialized Execution), the Control Tower (Strategic Visibility and Drift Detection), the Ethics Fabric (Bounded Autonomy by Design), and the Talent Studio (Sciencepreneur Capability). The model introduces the Sciencepreneur as the central human archetype in agentic R&D, and Orchestration Leverage as a candidate productivity metric suited to human-agent hybrid systems.

翻译：目的：企业研发面临持续的生产力悖论：不断增长的投入与扩展的科学知识并未转化为相应的创新产出。在制药领域，这一现象被称为埃鲁姆定律，而在工程、材料科学和医疗保健领域也出现了类似模式。其核心原因并非工具不足，而是认知饱和：研究人员将越来越多的时间用于协调、文档编写和数据治理——这些隐藏工作取代了高价值的假说形成、解释和战略综合。设计/方法论/方法：本文采用设计科学研究（DSR）方法论。其产物是HARMONY运营模型。证据三角化自四个半结构化专家访谈（涵盖工业、医疗健康和学术领域的高级研发领导者）、一个预测2040年四种合理研发未来的前瞻场景分析，以及与已记录的智能体研发部署的模式匹配。两个不可协商的设计要求指导了架构设计：认知负载重新分配（DR1）和有界自主性与对齐（DR2）。发现：我们提出HARMONY——面向组织新产出的混合智能体研究模型——这是一种四支柱社会技术架构，包括ResOps（工业化执行）、控制塔（战略可见性与漂移检测）、伦理框架（设计内置的有界自主性）和人才工作室（科学创业者能力）。该模型将科学创业者引入为智能体研发中的核心人类原型，并将编排杠杆作为适用于人机混合系统的候选生产力指标。