Raiding the inarticulate since 2010

accelerated academy acceleration agency AI Algorithmic Authoritarianism and Digital Repression archer Archive Archiving artificial intelligence automation Becoming Who We Are Between Post-Capitalism and Techno-Fascism big data blogging capitalism ChatGPT claude Cognitive Triage: Practice, Culture and Strategies Communicative Escalation and Cultural Abundance: How Do We Cope? Corporate Culture, Elites and Their Self-Understandings craft creativity critical realism data science Defensive Elites Digital Capitalism and Digital Social Science Digital Distraction, Personal Agency and The Reflexive Imperative Digital Elections, Party Politics and Diplomacy digital elites Digital Inequalities Digital Social Science Digital Sociology digital sociology Digital Universities elites Fragile Movements and Their Politics Cultures generative AI higher education Interested labour Lacan Listening LLMs margaret archer Organising personal morphogenesis Philosophy of Technology platform capitalism platforms populism Post-Democracy, Depoliticisation and Technocracy post-truth psychoanalysis public engagement public sociology publishing Reading realism reflexivity scholarship sexuality Shadow Mobilization, Astroturfing and Manipulation Social Media Social Media for Academics social media for academics social ontology social theory sociology technology The Content Ecosystem The Intensification of Work The Political Economy of Digital Capitalism The Technological History of Digital Capitalism Thinking trump twitter Uncategorized work writing zizek

The Emergence of Digital Capitalism 

From The Data Revolution by Rob Kitchin, loc 566-580:

Moreover, data constitute an economic resource, one that is a key component of the next phase of the knowledge economy, reshaping the mode of production to one that it is data-driven (see Chapter 7). Since the late 1980s, scholars such as Castells (1988, 1996) have argued that the latest cycle of capitalism is underpinned by the production of knowledge that creates new products and forms of labour, facilitates economic restructuring, and enhances productivity, competitiveness, efficiencies, sustainability and capital accumulation.

Big data, in particular, is the latest development in deepening and advancing this cycle, providing a wealth of evidence that is being used by companies to, on the one hand, monitor and evaluate company performance in real time, reduce waste and fraud, and improve corporate strategy, planning and decision-making and, on the other, to design new commodities, identify and target new markets, implement dynamic pricing, realise untapped potential, and gain competitive advantage (Manyika et al. 2011; Zikopoulos et al. 2012).

In so doing, the production and analysis of data enables companies to be run more intelligently with respect to how they are organised and operate, promoting flexibility and innovation, reducing risks, costs and operational losses, improving customer experience, and maximising return on investment and profits. By driving capital accumulation, big data facilitates new divisions of labour and the next round of uneven development. Data can thus be understood as an agent of capital interests.

, , , , , , ,