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Logistics Competencies, Skills, and Training

Author

Listed:
  • Alan McKinnon
  • Christoph Flöthmann
  • Kai Hoberg
  • Christina Busch

Abstract

Despite the spread of automation and new supply chain management paradigms, logistics remains dependent on a rather specific set of skills and competencies, whether for managerial, administrative, or blue-collar jobs, such as trucking or warehousing. This dependence implies that the logistical performance of businesses, industries, and nation states is strongly influenced by the quantity and quality of the workforce. Insufficient resources of a competent and properly trained workforce in logistics adversely affect the quality of service, reduce productivity in sectors dependent on logistics, and ultimately reduce trade competitiveness. While other interventions that affect logistics performance—such as international infrastructures, trade corridors, regulations, and services—have already been reviewed extensively, this report is the first to cover the contributions of human resources and explore how to develop skills and improve competencies, especially in developing countries. The study proposes a framework for the skills needed according to the logistics activity (such as transportation or warehousing) or the type and level of responsibility. Based on several sources, including recent surveys carried out by the World Bank and the Kühne Logistics University, the report uncovers where the skills constraints are according to the type of job or countries. Findings include that logistics is an industry struggling to hire skilled workers, although with differences between developed countries (where trucker shortages are more acute) and developing economies (where managerial shortages are more widespread). Typically, blue-collar logistics jobs have lower status and lower pay than blue-collar jobs in other industries; they are thus less attractive for skilled workers. In developing countries with a potentially available workforce, lack of vocational preparation for careers in logistics means that less-skilled workers are not easily re-skilled. Logistics tasks at the upper end of the occupational hierarchy and those with high information technology content often require an upskilling of employees to keep pace with new technology. Yet the problem is not confined to recruitment. The surveys point to limited resources, money, and staff time allocated to training, especially in developing countries. Realizing the promise of quality jobs from the growth of logistics worldwide requires a coordinated effort by logistics companies, professional associations, training providers, and policy makers. Through a combination of facilitation, regulation, advice, financial instruments, and land use planning, governments can exert significant influence.

Suggested Citation

  • Alan McKinnon & Christoph Flöthmann & Kai Hoberg & Christina Busch, 2017. "Logistics Competencies, Skills, and Training," World Bank Publications - Books, The World Bank Group, number 27723.
  • Handle: RePEc:wbk:wbpubs:27723
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    Citations

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    Cited by:

    1. Önsel Ekici, Şule & Kabak, Özgür & Ülengin, Füsun, 2019. "Improving logistics performance by reforming the pillars of Global Competitiveness Index," Transport Policy, Elsevier, vol. 81(C), pages 197-207.
    2. Schuster, Amy M. & Agrawal, Shubham & Britt, Noah & Sperry, Danielle & Van Fossen, Jenna A. & Wang, Sicheng & Mack, Elizabeth A. & Liberman, Jessica & Cotten, Shelia R., 2023. "Will automated vehicles solve the truck driver shortages? Perspectives from the trucking industry," Technology in Society, Elsevier, vol. 74(C).
    3. Mareï, Nora & Savy, Michel, 2021. "Global South countries: The dark side of city logistics. Dualisation vs Bipolarisation," Transport Policy, Elsevier, vol. 100(C), pages 150-160.
    4. Pietro Evangelista & Aino Kianto & Henri Hussinki & Mika Vanhala & Anna-Maija Nisula, 2023. "Knowledge-Based Human Resource Management, Logistics Capability, and Organizational Performance in Small Finnish Logistics Service Providers," Logistics, MDPI, vol. 7(1), pages 1-21, February.
    5. Kwiatkowska-Ciotucha Dorota & Załuska Urszula, 2020. "Go4futureskills – A Comprehensive Competency Assessment Tool," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 24(4), pages 15-33, December.
    6. Kabak, Özgür & Önsel Ekici, Şule & Ülengin, Füsun, 2020. "Analyzing two-way interaction between the competitiveness and logistics performance of countries," Transport Policy, Elsevier, vol. 98(C), pages 238-246.
    7. Mateja Cucek & Sonja Mlaker Kac, 2023. "Projected And Expected Competences In Logistics And Supply Chain In Slovenia," Business Logistics in Modern Management, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 23, pages 79-91.
    8. Chandiran, P. & Ramasubramaniam, M. & Venkatesh, V.G. & Mani, Venkatesh & Shi, Yangyan, 2023. "Can driver supply disruption alleviate driver shortages? A systems approach," Transport Policy, Elsevier, vol. 130(C), pages 116-129.
    9. Hoffmann, Christin & Thommes, Kirsten, 2020. "Can digital feedback increase employee performance and energy efficiency in firms? Evidence from a field experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 49-65.

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