Purpose

Food sector supply chains have significant negative environmental impacts, including the expansion of global food commodity production, which is driving tropical deforestation – a major climate and biodiversity problem. Innovative supply chain monitoring services promise to address such impacts. Legislation also designates “forest-risk commodities”, demanding supply chain due diligence of their provenance. But such data alone does not produce change. This study investigates how theory in performance measurement and management (PMM) can combine with sustainable supply chain management (SSCM) and decision theory (DT) via case study research that addresses paradoxes of simplicity and complexity.

Design/methodology/approach

Given existing relevant theory but the nascent nature of the topic, theory elaboration via abductive case study research is conducted. Data collection involves interviews and participatory design workshops with supply chain actors across two supply chains (coffee and soy), exploring the potential opportunities and challenges of new deforestation monitoring services for food supply chains.

Findings

Two archetypal food supply chain structures (short food supply chains with high transparency and direct links between farmer and consumer and complex food supply chains with highly disaggregated and opaque links) provide a dichotomy akin to the known/unknown, structured/unstructured contexts in DT, enabling novel theoretical elaboration of the performance alignment matrix model in PMM, resulting in implications for practice and a future research agenda.

Originality/value

The novel conceptual synthesis of PMM, SSCM and DT highlights the importance of context specificity in developing PMM tools for SSCM and the challenge of achieving the general solutions needed to ensure that PMM, paradoxically, is both flexible to client needs and capable of replicable application to deliver economies of scale. To advance understanding of these paradoxes to develop network-level PMM systems to address deforestation impacts of food supply chains and respond to legislation, a future research agenda is presented.

中文翻译：

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零毁林可持续供应链管理服务创新：绩效衡量和管理方法

目的

食品部门供应链对环境产生重大负面影响，包括全球食品商品生产的扩大，这正在推动热带森林砍伐——这是一个主要的气候和生物多样性问题。创新的供应链监控服务有望解决此类影响。立法还指定了“森林风险商品”，要求供应链对其来源进行尽职调查。但仅靠这些数据并不会产生变化。本研究通过案例研究研究绩效衡量和管理 (PMM) 理论如何与可持续供应链管理 (SSCM) 和决策理论 (DT) 相结合，解决简单性和复杂性的悖论。

设计/方法论/途径

考虑到现有的相关理论但该主题的新生性质，通过溯因案例研究进行理论阐述。数据收集涉及对两个供应链（咖啡和大豆）的供应链参与者进行访谈和参与式设计研讨会，探索食品供应链新的森林砍伐监测服务的潜在机遇和挑战。

发现

两种典型的食品供应链结构（具有高透明度和农民与消费者之间直接联系的短食品供应链，以及具有高度分类和不透明链接的复杂食品供应链）提供了类似于DT中已知/未知、结构化/非结构化环境的二分法，能够对 PMM 中的性能对齐矩阵模型进行新颖的理论阐述，从而对实践和未来的研究议程产生影响。

原创性/价值

PMM、SSCM 和 DT 的新颖概念综合强调了上下文特定性在为 SSCM 开发 PMM 工具时的重要性，以及实现确保 PMM 既能灵活满足客户需求又能可复制应用所需的挑战。实现规模经济。为了加深对这些悖论的理解，以开发网络级 PMM 系统来解决食品供应链的森林砍伐影响并响应立法，提出了未来的研究议程。