Retentivity Beats prior Knowledge as Predictor for the Acquisition and Adaptation of New Production Processes

dc.contributor.author Haase, Jennifer
dc.contributor.author Matthiesen, Julia
dc.contributor.author Schueffler, Arnulf
dc.contributor.author Kluge, Annette
dc.date.accessioned 2020-01-04T08:10:30Z
dc.date.available 2020-01-04T08:10:30Z
dc.date.issued 2020-01-07
dc.description.abstract In the time of digitalization the demand for organizational change is rising and demands ways to cope with fundamental changes on the organizational as well as individual level. As a basis, learning and forgetting mechanisms need to be understood in order to guide a change process efficiently and successfully. Our research aims to get a better understanding of individual differences and mechanisms in the change context by performing an experiment where individuals learn and later re-learn a complex production process using a simulation setting. The individual’s performance, as well as retentivity and prior knowledge is assessed. Our results show that higher retentivity goes along with better learning and forgetting performances. Prior knowledge did not reveal such relation to the learning and forgetting performances. The influence of age and gender is discussed in detail.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2020.589
dc.identifier.isbn 978-0-9981331-3-3
dc.identifier.uri http://hdl.handle.net/10125/64331
dc.language.iso eng
dc.relation.ispartof Proceedings of the 53rd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Innovation in Organizations: Learning, Unlearning, and Intentional Forgetting
dc.subject experiment
dc.subject forgetting
dc.subject learning
dc.subject prior knowledge
dc.subject production process
dc.subject retentivity
dc.title Retentivity Beats prior Knowledge as Predictor for the Acquisition and Adaptation of New Production Processes
dc.type Conference Paper
dc.type.dcmi Text
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