-- apologies for cross posting --
Algorithms at work: ethnographies of organizing in the age of datification
In our track, we aim to connect scholars working on ethnographic studies of organizing in the age of datafication. Submit your abstract before December 21, 2018.
Developments in digital data technologies such as analytics, machine learning and artificial intelligence have allowed for high impact changes in social and organizational life, and work in particular. Digital data technologies are widely taken up by organizations to improve decision-making, efficiency and performance.
However, the use of these technologies is also associated with unforeseen and profound shifts in work practices that go beyond mere performance improvements. For example, over-reliance on the algorithms may eventually lead to losing crucial tacit knowledge necessary for professional decision-making (Pachidi et al. 2016), trigger status struggles between professional groups (Anthony 2018) or occasion power tensions in institutional fields, such as travel industry (Orlikowski and Scott 2013). Even though an emerging stream starts speculating on such controversial consequences of datification (e.g. Faraj et al. 2018; Elish and boyd 2018), there is still a need for in-depth studies that unpack what the use of algorithms and data-driven work constitutes in practice.
This track aims to bring together field studies of situated use of data and AI and its consequences for work. We specifically invite scholars conducting ethnographic research on organizing with algorithms and interested in theorizing unintended and unforeseen consequences of datification for people in the workplace.
The track is part of the 13th International Conference on Organisational Learning, Knowledge and Capabilities (OLKC) Call for Papers. OLKC 2019 is hosted by the University of Sussex Business School in Brighton, UK, 24-26 April 2019: https://www.olkc2019.com/
OLKC 2019 aims to bring together diverse scholars with interests around topics of changing nature of work in order to develop interdisciplinary understanding of the trajectories brought about by ongoing exposure of the contemporary workplace to the technologies, methods and philosophies of the digital economy.
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KEY DATES
- December 21, 2018 – Deadline to submit abstracts to general and thematic tracks, as well as for contributions to the Doctoral Symposium
- February 18, 2019 – Notification of acceptance
- April 3, 2019 – Deadline to submit full papers
- April 24-26, 2019 – Conference time!
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Best, Dr. Anastasia Sergeeva & Dr. Maura Soekijad
Dr. M. (Maura) Soekijad
Associate Professor Knowledge & Organization at KIN Research
Vrije Universiteit Amsterdam
Faculty of Economics and Business Administration
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Dr. Maura Soekijad
VU Amsterdam SBE-KIN Research
Amsterdam
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