IDEAS home Printed from https://ideas.repec.org/h/zbw/hiclch/209371.html
   My bibliography  Save this book chapter

Digital logistics, strategic cognitive readiness and employee training

In: Artificial Intelligence and Digital Transformation in Supply Chain Management: Innovative Approaches for Supply Chains. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 27

Author

Listed:
  • Neukirchen, Thomas
  • Klumpp, Matthias

Abstract

Purpose: We consider long-term structural implementation risks connected to digitalization in production and logistics. Similar to considerations regarding automation, we identify areas of potential corporate benefits and corresponding necessary adjustments in task descriptions and employee behavior. Methodology: Case study using an interactive process analysis and annotations method (interaction room) for a digitalization effort in a German power plant component company, including employees in digital developments early on. Survey of the concept of strategic cognitive analysis for logistics digitalization (systematic literature research). Findings: Analysis of the concept of strategic cognitive readiness is given for logistics digitalization and related to training requirements. This is connected to the presented case study which results in (i) augmented and digitalized process (ii) employee training requirements regarding strategic cognitive readiness. Originality: The concept of strategic cognitive readiness, originating from a military context, had been widely identified as a core variable with regards to successful automation prior to related widespread adoption. Nonetheless, recent research shows that measures aimed at effectively integrating employees, if taken, have fallen short in many cases.

Suggested Citation

  • Neukirchen, Thomas & Klumpp, Matthias, 2019. "Digital logistics, strategic cognitive readiness and employee training," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Artificial Intelligence and Digital Transformation in Supply Chain Management: Innovative Approaches for Supply Chains. Proceedings of the Hamburg Int, volume 27, pages 117-150, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    • Handle: RePEc:zbw:hiclch:209371
    DOI: 10.15480/882.2467
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/209371/1/hicl-2019-27-117.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.15480/882.2467?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. R. E. Bellman & L. A. Zadeh, 1970. "Decision-Making in a Fuzzy Environment," Management Science, INFORMS, vol. 17(4), pages 141-164, December.
    2. Pascale Crama & Fabian J. Sting & Yaozhong Wu, 2019. "Encouraging Help Across Projects," Management Science, INFORMS, vol. 65(3), pages 1408-1429, March.
    3. Milgrom, Paul, 1981. "An Axiomatic Characterization of Common Knowledge," Econometrica, Econometric Society, vol. 49(1), pages 219-222, January.
    4. Arvan, Meysam & Fahimnia, Behnam & Reisi, Mohsen & Siemsen, Enno, 2019. "Integrating human judgement into quantitative forecasting methods: A review," Omega, Elsevier, vol. 86(C), pages 237-252.
    5. Fraedrich, Eva & Heinrichs, Dirk & Bahamonde-Birke, Francisco J. & Cyganski, Rita, 2019. "Autonomous driving, the built environment and policy implications," Transportation Research Part A: Policy and Practice, Elsevier, vol. 122(C), pages 162-172.
    6. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    7. Klumpp, M. & Ruiner, C., 2018. "Digitalization and Work Organization in New Urban Food Delivery Systems," 2018 International European Forum (163rd EAAE Seminar), February 5-9, 2018, Innsbruck-Igls, Austria 276876, International European Forum on System Dynamics and Innovation in Food Networks.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ginanneschi, Marco, 2021. "Long-term strategic thinking, the Themis method and the future of food," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    2. Loebbing, Jonas, 2018. "An Elementary Theory of Endogenous Technical Change and Wage Inequality," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181603, Verein für Socialpolitik / German Economic Association.
    3. John Geanakoplos, 1993. "Common Knowledge," Cowles Foundation Discussion Papers 1062, Cowles Foundation for Research in Economics, Yale University.
    4. Vuciterna, Rina & Thomsen, Michael & Popp, Jennie & Musliu, Arben, 2017. "Efficiency and Competitiveness of Kosovo Raspberry Producers," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252770, Southern Agricultural Economics Association.
    5. Basso, Henrique S. & Jimeno, Juan F., 2021. "From secular stagnation to robocalypse? Implications of demographic and technological changes," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 833-847.
    6. Caroline Lloyd & Jonathan Payne, 2021. "Fewer jobs, better jobs? An international comparative study of robots and ‘routine’ work in the public sector," Industrial Relations Journal, Wiley Blackwell, vol. 52(2), pages 109-124, March.
    7. Collan, Mikael, 2008. "New Method for Real Option Valuation Using Fuzzy Numbers," Working Papers 466, IAMSR, Åbo Akademi.
    8. Gilberto Santos & Jose Carlos Sá & Maria João Félix & Luís Barreto & Filipe Carvalho & Manuel Doiro & Kristína Zgodavová & Miladin Stefanović, 2021. "New Needed Quality Management Skills for Quality Managers 4.0," Sustainability, MDPI, vol. 13(11), pages 1-22, May.
    9. Zhang, Cheng & Weng, Xiyan, 2024. "Can broadband infrastructure construction promote equality of opportunity? Evidence from a quasi-natural experiment in China☆," Journal of Asian Economics, Elsevier, vol. 93(C).
    10. Wenyao Niu & Yuan Rong & Liying Yu & Lu Huang, 2022. "A Novel Hybrid Group Decision Making Approach Based on EDAS and Regret Theory under a Fermatean Cubic Fuzzy Environment," Mathematics, MDPI, vol. 10(17), pages 1-30, August.
    11. de Andres-Sanchez, Jorge, 2007. "Claim reserving with fuzzy regression and Taylor's geometric separation method," Insurance: Mathematics and Economics, Elsevier, vol. 40(1), pages 145-163, January.
    12. Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2023. "Artificial intelligence and firm-level productivity," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 188-205.
    13. Thanos Fragkandreas, 2022. "Three Decades of Research on Innovation and Inequality: Causal Scenarios, Explanatory Factors, and Suggestions," Working Papers 60, Birkbeck Centre for Innovation Management Research, revised Feb 2022.
    14. Mikhailov, L., 2004. "A fuzzy approach to deriving priorities from interval pairwise comparison judgements," European Journal of Operational Research, Elsevier, vol. 159(3), pages 687-704, December.
    15. Singh, Anuraag & Triulzi, Giorgio & Magee, Christopher L., 2021. "Technological improvement rate predictions for all technologies: Use of patent data and an extended domain description," Research Policy, Elsevier, vol. 50(9).
    16. Montse Gomendio, 2023. "The Level of Skills in Spain: How to Solve the Puzzle using International Surveys," Studies on the Spanish Economy eee2023-35, FEDEA.
    17. Hongyi Sun & Bingqian Zhang & Wenbin Ni, 2022. "A Hybrid Model Based on SEM and Fuzzy TOPSIS for Supplier Selection," Mathematics, MDPI, vol. 10(19), pages 1-19, September.
    18. Liu, Yong-Jun & Zhang, Wei-Guo, 2015. "A multi-period fuzzy portfolio optimization model with minimum transaction lots," European Journal of Operational Research, Elsevier, vol. 242(3), pages 933-941.
    19. María Jesús Rosado-García & Renata Kubus & Ramón Argüelles-Bustillo & María Jesús García-García, 2021. "A New European Bauhaus for a Culture of Transversality and Sustainability," Sustainability, MDPI, vol. 13(21), pages 1-22, October.
    20. Gianluca MISURACA & Colin van Noordt, 2020. "AI Watch - Artificial Intelligence in public services: Overview of the use and impact of AI in public services in the EU," JRC Research Reports JRC120399, Joint Research Centre.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:hiclch:209371. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://hicl.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.