Abstract
The logistics industry has undergone many significant changes in the last two decades—one of these being increasing knowledge requirements necessitated by technology implementation as well as global co-operation. Whereas in the past century many blue-collar occupations in logistics like e.g. truck drivers merely required a basic school education and rudimentary qualification levels, today due to improved technology interaction with e.g. barcode and RFID systems, fleet management or toll and truck steering concepts, competence requirements for such jobs have significantly increased. The same is true for many white-collar jobs in logistics, exemplified by the increasing number of university graduates, especially in specific fields like logistics information technology, contract logistics and innovative supply chain concepts (“supply chain design”). Accordingly, the first sector-wide evaluation of competences with 1.068 logistics employees in 2013 in the German ECLR project “WiWeLo” showed competence structures and also gaps according to the Berufswertigkeit measurement concept. In the light of expected changes due to demographic change as well as further technological implementation (“industry 4.0”), there are risks as well as opportunities embedded in such quantitative analyses of competences. These are outlined in this article and will lead to a new logistics qualification paradigm: whereas past education and training in human resource management was very much driven by formal qualifications and therefore “personnel clusters” (like white- and blue-collar), especially in logistics with “mixed entry” people (from other industries as well as countries), future HRM concepts may focus on an individual analysis of gaps and potentials based on quantitative evaluations as with the Berufswertigkeit concept.
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Klumpp, M. (2016). Logistics Qualification: Best-Practice for a Knowledge-Intensive Service Industry. In: Zijm, H., Klumpp, M., Clausen, U., Hompel, M. (eds) Logistics and Supply Chain Innovation. Lecture Notes in Logistics. Springer, Cham. https://doi.org/10.1007/978-3-319-22288-2_24
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