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Between Autonomy and Surveillance – Employee-oriented use of people analytics in onsite and remote work

 

In the research project “Between Autonomy and Surveillance (ZAUber)”, we are researching how people and organisations use so-called people analytics software. These enable the automated analysis of personnel data, combine it with business and/or external data and promise to optimise decisions about employees, for example by providing information about their performance and potential. The project is funded by the Hans Böckler Foundation as part of the Digitale Transformation Research Network and is carried out in close cooperation with the FZI Research Centre for Information Technology.

Background of the project

The use of people analytics software has the potential to fundamentally change the world of work. Due to the increase in remote work in the wake of the COVID 19 pandemic, such people analytics tools are gaining momentum by promising employers possibilities of supervision despite physical distance. Advocates of people analytics software hope to increase employee autonomy through e.g. personalised support for self-organisation. However, due to the comprehensive analysis of usage data, many users perceive predictive people analytics tools in the context of employee monitoring, surveillance, and control of performance and behaviour in the workplace.

Research questions

People analytics approaches place high demands on the stakeholders involved, such as management, employees and their representatives, as well as the technical and legal side. Organisations need to match technical requirements and capabilities with stakeholder needs and legal frameworks. The granular functionalities of people analytics platforms provide flexibility, but also create complexities. Our research project focuses on the challenges and design options for corporate actors that emerge in the area of tension between autonomy and employee surveillance. More specifically, we are answering the following two research questions:

How – if at all – does the perception of the use of people analytics differ among those employees affected by the evaluations in the use cases of remote and onsite work?

Which technical, individual and organisational conditions promote or inhibit a use of people analytics that is oriented towards the well-being and self-determination of employees?

Methodological approach

To answer the research questions, we draw on a multi-method approach that includes both qualitative and quantitative studies. A structured literature review, market survey and qualitative stakeholder interviews form the basis of the project. Based on these findings, we conduct in-depth qualitative case studies on the use of people analytics tools in German organisations. In addition, a theory-based quantitative survey and an experimental study provide insights into the perception of privacy intrusions and trust-building features of the systems. Workshops at the beginning and end of the project support the as-is analysis and the transfer of our findings into practice.

Media & Links

Duration: 01.04.22 – 30.09.2024

Sponsor: Hans Böckler Foundation

Contact

Sonja Köhne

Associated Doctoral Researcher: Innovation, Entrepreneurship & Society

Part of the research group

Digital & Indiscipline: HIIG Explainer videos with English subtitles

Journal articles and conference proceedings

Winkler, M., Köhne, S., & Klöpper, M. (2022). ‘Not all algorithms!’ Lessons from the Private Sector on Mitigating Gender Discrimination. INFORMATIK 2022, Lecture Notes in Informatics (LNI), Gesellschaft für Informatik, 1289-1303. Publication details

Other publications

Köhne, S., & Winkler, M. (2022). Weil der Algorithmus es sagt: Zur Rolle menschlicher Entscheider*innen und datengetriebener Unterstützung. Denkfabrik Digitale Arbeitsgesellschaft. Publication details

Gümüsay, A., Köhne, S., Schildhauer, T., Krzywdzinski, M., & Send, H. (2022). Why Big Brother should not be watching you at work. I by IMD. Publication details

Winkler, M. & Köhne, S. (2022). Was ist KI und wenn ja, wie viele? Zur Debatte um den Begriff der Künstlichen Intelligenz. Denkfabrik Digitale Arbeitsgesellschaft. Publication details

Lectures and presentations

Möglichkeiten und Grenzen von Künstlicher Intelligenz im Recruiting
Möglichkeiten und Grenzen von Künstlicher Intelligenz im Recruiting. Fortbildungsakademie des Ministeriums des Innern des Landes Nordrhein-Westfalen, Online, Germany: 29.09.2022

Köhne, Sonja

Algorithmisches Personalmanagement: Kartierung einer komplexen Landschaft
Demo Day. Prototype Funds. bUm, Raum für solidarisches Miteinander, Berlin, Germany: 31.08.2022 Further information

Köhne, Sonja

Mitarbeiter*innen-zentrierter Einsatz von People Analytics
LABOR.A® 2020 – Arbeit der Zukunft in Corona-Zeiten (Session: Ideenpitch Künstliche Intelligenz in der Arbeitswelt). Hans-Böckler-Stiftung, Forschungsstelle Arbeit der Zukunft, Online, Germany: 07.10.2020 Further information

Miriam Klöpper, Sonja Köhne

Moderation of workshops and panels

Die Pandemie als Wendepunkt? Transformation von Autonomie und Kontrolle in neuen Arbeitsformen
LABOR.A® 2020 – Arbeit der Zukunft in Corona-Zeiten. Hans-Böckler-Stiftung, Forschungsstelle Arbeit der Zukunft, Online, Germany: 07.10.2020 Further information

Karen Eilers, Miriam Klöpper, Sonja Köhne, Valentin Niebler, Nora Thorade, Klara-Aylin Wenten, Tobias Drewlani

Organisation of events

People Analytics in der betrieblichen Praxis
People Analytics in der betrieblichen Praxis - Workshop I. 19.10.2022. Humboldt Institut für Internet und Gesellschaft, Berlin, Germany. Co-Organised by: IG Metall (National) Further information

Nele Buß, Georg von Richthofen, Sonja Köhne, Hendrik Send