Modelling manufacturing employees’ performance based on a system dynamics approach

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dc.contributor.author Alefari, Mudhafar
dc.contributor.author Fernández Barahona, Angel María
dc.contributor.author Salonitis, Konstantinos
dc.date.accessioned 2018-12-17T11:49:02Z
dc.date.available 2018-12-17T11:49:02Z
dc.date.issued 2018-06-27
dc.identifier.citation Mudhafar Alefari, Angel María Fernández Barahona and Konstantinos Salonitis. Modelling manufacturing employees’ performance based on a system dynamics approach. Procedia CIRP, Volume 72, 2018, Pages 438-443 en_UK
dc.identifier.issn 2212-8271
dc.identifier.uri https://doi.org/10.1016/j.procir.2018.03.161
dc.identifier.uri https://dspace.lib.cranfield.ac.uk/handle/1826/13742
dc.description.abstract Employee performance is a key factor for the success of any modern organization. Employees are an asset that cannot be imitated by the competition, and therefore should be considered the most valuable resource. Unfortunately, they are also the hardest to control. Previous studies in manufacturing organizations have proven this. Performance improvement initiatives with a wide range of approaches are used in an attempt to improve employee performance. Motivation or organizational commitment are some examples of such programmes. However, the clear majority do not focus on the bigger picture. A conceptual model through system dynamics of the factors that affect employee performance and the different improvement initiatives is presented in this paper. en_UK
dc.language.iso en en_UK
dc.publisher Elsevier en_UK
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/ *
dc.subject continuous improvement en_UK
dc.subject employee performance en_UK
dc.subject system dynamics en_UK
dc.title Modelling manufacturing employees’ performance based on a system dynamics approach en_UK
dc.type Article en_UK


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