{"title":"Theorizing the Economy of Traces: From Audit Society to Surveillance Capitalism","authors":"M. Power","doi":"10.1177/26317877211052296","DOIUrl":null,"url":null,"abstract":"This essay is a conversation between Shoshana Zuboff’s theory of surveillance capitalism, Mikkel Flyverbom’s conceptualization of the hyper-visibility afforded by digital architectures, and my own ‘analog’ theory of accounting dynamics in the ‘audit society’. Drawing upon trends in accounting practice and research I develop a number of inflection points which define theoretical tensions between the concepts of audit society and surveillance capitalism. These tensions suggest that theoretical innovation is required in the face of: the accelerating constitution of organizations by platforms and their processes – ‘platformization’; the constitution of human agents as data-driven subjects of these data architectures – ‘cyborgization’; and the reconstruction of the social sciences by a pervasive data positivism in which accounting becomes ‘accountics’. The exploration of these three inflection points reveals the deep operational logic of surveillance capitalism as an ‘economy of traces’ and traceability. Zuboff’s challenge of a political dystopia governed by technology giants and Flyverbom’s image of a society ‘overlit’ by digital architectures necessitate a re-specification of the audit society dynamics that I have previously theorized. The re-specification that I propose in this essay is a form of a critical ‘traceology’ which takes as its focus the ongoing production of all manner of traces and how they make up organizations, people and forms of knowledge.","PeriodicalId":50648,"journal":{"name":"Computational and Mathematical Organization Theory","volume":"74 1","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational and Mathematical Organization Theory","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1177/26317877211052296","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 8
Abstract
This essay is a conversation between Shoshana Zuboff’s theory of surveillance capitalism, Mikkel Flyverbom’s conceptualization of the hyper-visibility afforded by digital architectures, and my own ‘analog’ theory of accounting dynamics in the ‘audit society’. Drawing upon trends in accounting practice and research I develop a number of inflection points which define theoretical tensions between the concepts of audit society and surveillance capitalism. These tensions suggest that theoretical innovation is required in the face of: the accelerating constitution of organizations by platforms and their processes – ‘platformization’; the constitution of human agents as data-driven subjects of these data architectures – ‘cyborgization’; and the reconstruction of the social sciences by a pervasive data positivism in which accounting becomes ‘accountics’. The exploration of these three inflection points reveals the deep operational logic of surveillance capitalism as an ‘economy of traces’ and traceability. Zuboff’s challenge of a political dystopia governed by technology giants and Flyverbom’s image of a society ‘overlit’ by digital architectures necessitate a re-specification of the audit society dynamics that I have previously theorized. The re-specification that I propose in this essay is a form of a critical ‘traceology’ which takes as its focus the ongoing production of all manner of traces and how they make up organizations, people and forms of knowledge.
期刊介绍:
Computational and Mathematical Organization Theory provides an international forum for interdisciplinary research that combines computation, organizations and society. The goal is to advance the state of science in formal reasoning, analysis, and system building drawing on and encouraging advances in areas at the confluence of social networks, artificial intelligence, complexity, machine learning, sociology, business, political science, economics, and operations research. The papers in this journal will lead to the development of newtheories that explain and predict the behaviour of complex adaptive systems, new computational models and technologies that are responsible to society, business, policy, and law, new methods for integrating data, computational models, analysis and visualization techniques.
Various types of papers and underlying research are welcome. Papers presenting, validating, or applying models and/or computational techniques, new algorithms, dynamic metrics for networks and complex systems and papers comparing, contrasting and docking computational models are strongly encouraged. Both applied and theoretical work is strongly encouraged. The editors encourage theoretical research on fundamental principles of social behaviour such as coordination, cooperation, evolution, and destabilization. The editors encourage applied research representing actual organizational or policy problems that can be addressed using computational tools. Work related to fundamental concepts, corporate, military or intelligence issues are welcome.