Developments in Algorithmic Management from an IR-perspective: Stock taking report: Denmark

Trine Pernille Larsen; Anna Ilsøe; Henriette Krøll Tell; Christian Haldrup

Developments in Algorithmic Management from an IR-perspective: Stock taking report: Denmark

Trine Pernille Larsen, Anna Ilsøe, Henriette Krøll Tell, Christian Haldrup

Employment Relations Research Centre

Research output: Book/Report › Report › Research › peer-review

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Abstract

The INCODING project studies dynamics in the (co)governance of Algorithmic Management and Artificial Intelligence-techniques from a Comparative Industrial Relations-perspective. By identifying the main challenges for workers and their representatives, it aims to explore how to contribute to Inclusive and Transparent Algorithmic Management. The present stock tacking reports provide an insight on the latest developments in this field in Denmark.

Original language	English

Publisher	European Commision
Number of pages	22
Commissioning body	European Commission
Publication status	Published - 17 Oct 2022

Access to Document

DK_INCODING_Stock-Taking_ReportFinal published version, 381 KB

https://ddd.uab.cat/pub/infpro/2022/266644/DK_INCODING_Stock-Taking_Report.pdf

Cite this

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title = "Developments in Algorithmic Management from an IR-perspective: Stock taking report: Denmark",

abstract = "The INCODING project studies dynamics in the (co)governance of Algorithmic Management and Artificial Intelligence-techniques from a Comparative Industrial Relations-perspective. By identifying the main challenges for workers and their representatives, it aims to explore how to contribute to Inclusive and Transparent Algorithmic Management. The present stock tacking reports provide an insight on the latest developments in this field in Denmark.",

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