Innovation for zero-deforestation sustainable supply chain management services: a performance measurement and management approach

Anthony Alexander, Maneesh Kumar, Helen Walker, Jon Gosling
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Abstract

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.

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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:食品行业供应链对环境有重大负面影响,包括全球食品商品生产的扩大,而这正在推动热带森林砍伐--一个重大的气候和生物多样性问题。创新的供应链监测服务有望消除这些影响。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。但是,仅靠这些数据并不能带来改变。本研究通过案例研究,探讨绩效衡量与管理(PMM)理论如何与可持续供应链管理(SSCM)和决策理论(DT)相结合,从而解决简单性与复杂性的矛盾。数据收集包括对两条供应链(咖啡和大豆)上的供应链参与者进行访谈和参与式设计研讨会,探索食品供应链上新的森林砍伐监测服务的潜在机遇和挑战。研究结果两种典型的食品供应链结构(农民和消费者之间具有高透明度和直接联系的短食品供应链和具有高度分解和不透明联系的复杂食品供应链)提供了一种类似于 DT 中已知/未知、结构化/非结构化背景的二分法,从而能够对 PMM 中的绩效调整矩阵模型进行新颖的理论阐述,并产生对实践和未来研究议程的影响。原创性/价值对项目管理、战略、任务和结果管理以及数据挖掘进行了新颖的概念综合,强调了在为战略、任务和结果管理开发项目管理工具时特定环境的重要性,以及实现所需的一般解决方案以确保项目管理既能灵活满足客户需求,又能复制应用以实现规模经济所面临的挑战。为了促进对这些矛盾的理解,以开发网络级的项目管理系统,解决食品供应链中森林砍伐的影响,并对立法做出回应,提出了未来的研究议程。
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