One Tree, Five Goals:Algorithmic SDG Tagging and the Multiplication of Corporate Sustainability Contribution

Abstract

Companies increasingly claim contributions to the Sustainable Development Goals (SDGs) through digital systems that classify their activities against the goals’ targets. Scholarship on corporate SDG engagement has examined motives, disclosure and “SDG-washing”. It has paid far less attention to the classification infrastructure that produces the claims in the first place. This article studies one such infrastructure: an employee-volunteering dashboard in a state-linked conglomerate on a resource frontier in Malaysian Borneo. The dashboard records volunteer hours and automatically assigns each activity to SDG goals and targets. The study draws on 63 semi-structured interviews, 127 organisational and public documents and overt observation. It shows that auto-tagging performs three operations. Translation recodes culturally specific practices, such as communal mutual-aid work, into global target numbers. Multiplication lets a single activity register against several goals at once; a tree-planting programme maintained by local single mothers counts towards five. Attribution relocates the labour of community members and partner agencies into the corporate ledger. Together, these operations produce what we term a tagging dividend: reported SDG coverage can expand faster than the underlying activity. We argue that auto-tagging is neither neutral measurement nor simple greenwashing. It is a performative technology of localisation that makes local practice legible to global audiences while editing what that practice means. We offer a three-part diagnostic and a set of propositions for researchers, auditors and practitioners who design, assure or study SDG-tagging systems