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Title: Preventing Mental Strain for Logistics Workers: Guideline Development
Language: English
Authors: Schwarz, Patrick 
Klumpp, Matthias 
Editor: Kersten, Wolfgang  
Blecker, Thorsten 
Ringle, Christian M.  
Keywords: Logistics;Industry 4.0;Digitalization;Innovation;Supply Chain Management;Artificial Intelligence;Data Science
Issue Date: 23-Sep-2020
Publisher: epubli
Source: Hamburg International Conference of Logistics (HICL) 29: 737-761 (2020)
Part of Series: Proceedings of the Hamburg International Conference of Logistics (HICL) 
Volume number: 29
Abstract (english): 
Purpose: The purpose of this paper is to discuss and analyze the introduction of a guideline, which aims to help prevent mental strain for logistics workers in an in-creasingly digitalized work environment. The guideline originates from the findings of computer science experimental rooms (IR) and expert workshops, which were an-alyzed in three German companies and are part of the INQA-project DIAMANT as well as from literature findings. Methodology: Mental strain and stress are identified from interviews and question-naires in three experimental rooms as well as from literature review (and discussions with the logistics workforce of the German companies). The identified factors are then translated into a guideline with recommendations for reaching and maintaining a healthy digitalized work environment in logistics. Findings: The guideline “Case Studies Digitalization” shows the (interim) results of the three experimental rooms of the INQA-project DIAMANT. This paper offers in-sights regarding certain elements of the guideline and how the different recommen-dations were created. Originality: The paper provides interesting insights into the development process of a guideline that focuses on requirements for healthy digitalized work in logistics. Along with these requirements, the challenges today’s logistics workforce faces in a quickly changing work environment are exposed.
Conference: Hamburg International Conference of Logistics (HICL) 2020 
DOI: 10.15480/882.3133
ISBN: 978-3-753123-46-2
ISSN: 2365-5070
Document Type: Chapter/Article (Proceedings)
License: CC BY-SA 4.0 (Attribution-ShareAlike 4.0) CC BY-SA 4.0 (Attribution-ShareAlike 4.0)
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