Location
Hilton Waikoloa Village, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
7-1-2025 12:00 AM
End Date
10-1-2025 12:00 AM
Description
This study proposes a taxonomy of digitalization technologies to be used in road freight transportation logistics, employing the taxonomy development methods by Nickerson et al. (2013) and the revised approach by Kundisch et al. (2021). Based on a literature review and a case study analysis, key dimensions for classifying digitalization technologies are identified. The taxonomy provides a framework for decision-makers to promote strategic technology adoption and operational efficiency. This taxonomy offers practical insights, enhancing the strategic selection of digital solutions in road freight transportation logistics and contributing to academic discourse by addressing a notable research gap in the field of information systems.
Recommended Citation
Kasher, John-Dean; Sardarabady, Navid Julian; and Durst, Susanne, "Towards a Taxonomy of Digitalization Technologies in Road Freight Transportation Logistics Business Processes" (2025). Hawaii International Conference on System Sciences 2025 (HICSS-58). 2.
https://aisel.aisnet.org/hicss-58/da/decision_support_for_scm/2
Towards a Taxonomy of Digitalization Technologies in Road Freight Transportation Logistics Business Processes
Hilton Waikoloa Village, Hawaii
This study proposes a taxonomy of digitalization technologies to be used in road freight transportation logistics, employing the taxonomy development methods by Nickerson et al. (2013) and the revised approach by Kundisch et al. (2021). Based on a literature review and a case study analysis, key dimensions for classifying digitalization technologies are identified. The taxonomy provides a framework for decision-makers to promote strategic technology adoption and operational efficiency. This taxonomy offers practical insights, enhancing the strategic selection of digital solutions in road freight transportation logistics and contributing to academic discourse by addressing a notable research gap in the field of information systems.
https://aisel.aisnet.org/hicss-58/da/decision_support_for_scm/2