Informazioni tesi

Data di pubblicazione
02/02/2023
Relatore 1
Matthias Klumpp
Lavoro di laurea
Tesi con controrelazione
Numero di persone
2
Major
Digital Business Innovation
Stream
Advanced Manufacturing

Human-centered concepts are developed for operations systems in manufacturing and logistics. Whereas system interaction is critical in modern operations and supply chain manage­ment due to the increasing use of automated and digital systems (I40), the human factor is increasing in importance in terms of operational performance and business success. The I50 concept by the European Commission entails challenges for digital transformation and AI business models, conceptualizing the human factor as the bottleneck. A transformation from European to local level shall be applied in the thesis work, mapping the challenges local firms might in I50 implementation.

Material

Balasubramanian, N., Ye, Y., Xu, M. (2022): Substituting Human Decision-Making with Machine Learning: Implications for Organizational Learning.  https://doi.org/10.5465/amr.2019.0470

European Commission (2022): Industry 5.0 – A transformative vision for Europe: governing systemic transformations towards a sustainable industry. https://data.europa.eu/doi/10.2777/17322

Klumpp, M. (2018): Automation and artificial intelligence in business logistics systems: human reactions and collaboration requirements. https://doi.org/10.1080/13675567.2017.1384451

Klumpp, M., Ruiner, C. (2022): Artificial intelligence, robotics, and logistics employment: The human factor in digital logistics. https://doi.org/10.1111/jbl.12314

Leavitt, K., Schabram, K., Hariharan, P., Barnes, C. M. (2021): Ghost in the Machine: On Organizational Theory in the Age of Machine Learning. https://doi.org/10.5465/amr.2019.0247

Maghazei, O., Lewis, M. A., Netland, T. H. (2022): Emerging technologies and the use case: A multi-year study of drone adoption. https://doi.org/10.1002/joom.1196

Contatti

Matthias Klumpp
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