From inside the cabin : truck drivers' technology acceptance of driving assistance systems

Title data

Gruchmann, Tim ; Grenzfurtner, Wolfgang ; Salzmann, Axel:
From inside the cabin : truck drivers' technology acceptance of driving assistance systems.
In: Logistics Research. Vol. 17 (2024) Issue 1 .
ISSN 1865-0368
DOI: https://doi.org/10.23773/2024_1

Official URL:

Abstract in another language

Driving assistants offer opportunities for innovation in transportation logistics by preventing accidents and improving workers’ well-being. The related transition towards technological interaction, however, changes the spectrum of job tasks and the drivers’ perceptions of their workplace. In this vein, driving assistants are not always viewed positively and deactivated. Using a quantitative research approach of conducting online surveys among truck drivers in Germany (N=142), a theoretical framework based on the Technology Acceptance Model and Innovation Diffusion Theory is tested with PLS-SEM and mediation analyses. As a result, the use of assistance systems and its acceptance is mainly driven by social norms, functionality, and trialability. The research contributes to the behavioral operations management discourse concerned by studying of how behavioral factors, such as cognitive biases and social preferences, influence and impede the interaction with assistance systems. Managerial and policy recommendations are further provided for improving the job design in transport logistics and related incentives for advanced use.

Further data

Item Type:	Article in a journal
Refereed:	Yes
Keywords:	Behavioral operations management; Driving assistance; Technology acceptance model; Innovation diffusion theory; PLS-SEM
Institutions of the University:	Faculties > Faculty of Life Sciences: Food, Nutrition and Health Faculties > Faculty of Life Sciences: Food, Nutrition and Health > Chair Food Supply Chain Management Faculties > Faculty of Life Sciences: Food, Nutrition and Health > Chair Food Supply Chain Management > Chair Food Supply Chain Management - Univ.-Prof. Dr. Christian Fikar
Result of work at the UBT:	Yes
DDC Subjects:	300 Social sciences > 330 Economics 300 Social sciences > 380 Commerce, communications, transportation 600 Technology, medicine, applied sciences
Date Deposited:	05 Apr 2024 05:23
Last Modified:	05 Apr 2024 05:23
URI:	https://eref.uni-bayreuth.de/id/eprint/89158