Feldmann, CarstenCarstenFeldmannKaupe, VictorVictorKaupeLucas, MartinMartinLucas2020-11-272020-11-272020-09-23Hamburg International Conference of Logistics (HICL) 29 : 113-151 (2020)http://hdl.handle.net/11420/7995Purpose: Exoskeletons are robotic devices worn on the human body which mechan-ically support the operator’s muscle skeleton. This study answers the following re-search question: Given insights drawn from a comprehensive literature analysis and two case studies which concern success factors for deployment projects, how can a systematic procedural model be used to support exoskeleton implementations in in-tralogistics? Methodology: This study follows the design-science research process developed by Peffers et al. (2006). The research gap was identified based on a systematic and com-prehensive review of literature which reflects the current state of research. Insights gained via this process were compared with empirical data from pilot installations at two case companies: a Swedish market leader in the furniture industry and a leading German coatings manufacturer. Findings: A procedural model was designed to systematically consider success fac-tors for an implementation which involves (1) workplace context; (2) human context and exoskeleton selection; (3) economic context; (4) pilot testing, evaluation, and maintenance; (5) deployment and training; and (6) go-live and support. It addresses technical, commercial, and social domains. The latter is critical to success, as it en-sures staff acceptance. Originality: Exoskeletons can contribute to solving challenges such as demographic transitions and skills shortages in logistics. The procedural model closes a research gap from a scientific perspective and enables practitioners to exploit the potentials of successful exoskeleton introduction. Case studies in two different branches en-sure practical relevance and significantly expand the state of research regarding the efficient achievement of implementation goals.enhttps://creativecommons.org/licenses/by-sa/4.0/LogisticsIndustry 4.0DigitalizationInnovationSupply Chain ManagementArtificial IntelligenceData ScienceWirtschaftHandel, Kommunikation, VerkehrConference Paper10.15480/882.3113https://www.epubli.de/shop/buch/Data-Science-and-Innovation-in-Supply-Chain-Management-Wolfgang-Kersten-9783753123462/10604710.15480/882.3113Kersten, WolfgangWolfgangKerstenBlecker, ThorstenThorstenBleckerRingle, Christian M.Christian M.RingleConference Paper