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Nachhaltige evolutionäre Unternehmensgedächtnisse: Methoden und Effekte von Managed Forgetting für die administrative Wissensarbeit

2016 - 2019: Sustaining Grass-roots Organizational Memories: Foundations and Methods of Managed Forgetting for Knowledge Workers

What is this project about?

This project aims to explore the foundations and methods of managed forgetting, an evidence-based approach to intentional forgetting. Managed forgetting aims to translate the capacity of human forgetting to focus on the essentials in digital processes, while complementing processes of human memory and forgetting rather than simply copying them.


What are the results of the project so far?


What are the objectives of the project?

Automatically, multiple evidences of the importance of content are collected, combined into a value "memory buoyancy". These are used to develop "forgetful" methods of accessing information in an evolutionary enterprise memory, with an emphasis on alternatives to the pure "keep-or-delete" paradigm (e.g., temporary suppression and aggregation of information). To further embed in knowledge management, the connection to tasks and the extension to groups of knowledge workers are examined, as well as the effects of Managed Forgetting on the user questioned, both through empirical tests and through the analysis of the interactions between human and digital forgetting.


How can organizations use the results?

Evolutionary corporate memory accumulates morean increasingly amount of information over time, which leads to reduced efficiency when it degenerates into an information overload. The project provides methods and solutions for Managed Forgetting that, when embedded in daily work, provide opportunities to dynamically calculate values for a degree of oblivion and provide forgettable paradigms for knowledge management.


Project team


Dr. Niederée, Claudia Research Center L3S Applicant ResearchGate
Google Scholar
niederee@l3s.de
Nguyen, Thi Huyen, PhD Candidate Research Center L3S Google Scholar nguyen@l3s.de

Prof. Dr. Dengel, Andreas Department of Computer Science Applicant ORCID
ResearchGate
Google Scholar
Andreas.Dengel@dfki.de
Dr. Maus, Heiko Department of Computer Science ResearchGate
Google Scholar
Heiko.Maus@dfki.de
Jilek, Christian, Dipl.-Wirtsch.-Ing. Department of Computer Science ResearchGate
Google Scholar
christian.jilek@dfki.de

Prof. Dr. Frings, Christian Department of Psychology Applicant ORCID
ResearchGate
weiland@uni-trier.de
AR PD Dr. Tempel, Tobias Department of Psychology Applicant ORCID
ResearchGate
Google Scholar
tobias.tempel@ph-ludwigsburg.de
Runge, Yannick, M.Sc Department of Psychology ORCID
ResearchGate
runge@uni-trier.de

Former collaborators

Ceroni, Andrea, M. Eng. ORCID
ResearchGate
Google Scholar

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