Digital Sand: The Becoming of Digital Representations
| Autor: | Eric Monteiro, Thomas Østerlie |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
FOS: Computer and information sciences
Organizational Behavior and Human Resource Management Computer science Process (engineering) Noise reduction Computer Science - Human-Computer Interaction 02 engineering and technology Library and Information Sciences Management Information Systems Data-driven Human-Computer Interaction (cs.HC) Computer Science - Computers and Society Human–computer interaction 020204 information systems Management of Technology and Innovation 0502 economics and business Computers and Society (cs.CY) 0202 electrical engineering electronic engineering information engineering Production (economics) 05 social sciences SIGNAL (programming language) Filter (signal processing) Noise (video) Heuristics 050203 business & management Information Systems |
| DOI: | 10.48550/arxiv.2005.01121 |
| Popis: | The versatility of digital technologies relies on a capacity to represent and subsequently manipulate algorithmically selected physical processes, objects or qualities in a domain. ‘Organizationally real’ digital representations are those that, beyond the mere capacity to, actually get woven into everyday work practices. Empirically, we draw on a four-year case study of offshore oil and gas production. Our case provides a vivid illustration of Internet of Things (IoT) based visualizations and data driven predictions characteristic for efforts of digitally transforming industrial process and manufacturing enterprises. We contribute by identifying and discussing three mechanisms through which digital representations become organizationally real: (i) noise reduction (the strategies and heuristics to filter out signal from noise), (ii) material tethering (grounding the digital representations to a corresponding physical measurement) and (iii) triangulating (in the absence of a direct correspondence, corroborating digital representations relative to other representations). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|