{"title":"Big brother is watching you: Examining truck drivers’ acceptance of road-facing dashcams","authors":"Tim Gruchmann , Amer Jazairy","doi":"10.1016/j.trf.2025.03.015","DOIUrl":null,"url":null,"abstract":"<div><div>This study examines the human factors influencing the acceptance of road-facing dashcams in the freight sector. A research model grounded in the Technology Acceptance Model and the Privacy Calculus Model was developed and tested with data collected through an online survey of 157 truck drivers in Germany. The model was analyzed using partial least squares structural equation modeling (PLS-SEM). The findings indicate that perceived usefulness plays a pivotal role in dashcam acceptance, driven by social norms, functionality, and control. In contrast, perceived risks and privacy concerns do not significantly impact the intention to adopt road-facing dashcams. Thus, the technologies’ benefits outweigh the individual data protection concerns, making the use at the truck driver’s workplace favorable. This research contributes to the broader discourse on how behavioral factors influence interactions with road-facing dashcams in transportation logistics. Managerial insights are provided for the road freight sector regarding the adoption of camera-based assistance systems.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"111 ","pages":"Pages 316-330"},"PeriodicalIF":3.5000,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part F-Traffic Psychology and Behaviour","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S136984782500107X","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
This study examines the human factors influencing the acceptance of road-facing dashcams in the freight sector. A research model grounded in the Technology Acceptance Model and the Privacy Calculus Model was developed and tested with data collected through an online survey of 157 truck drivers in Germany. The model was analyzed using partial least squares structural equation modeling (PLS-SEM). The findings indicate that perceived usefulness plays a pivotal role in dashcam acceptance, driven by social norms, functionality, and control. In contrast, perceived risks and privacy concerns do not significantly impact the intention to adopt road-facing dashcams. Thus, the technologies’ benefits outweigh the individual data protection concerns, making the use at the truck driver’s workplace favorable. This research contributes to the broader discourse on how behavioral factors influence interactions with road-facing dashcams in transportation logistics. Managerial insights are provided for the road freight sector regarding the adoption of camera-based assistance systems.
期刊介绍:
Transportation Research Part F: Traffic Psychology and Behaviour focuses on the behavioural and psychological aspects of traffic and transport. The aim of the journal is to enhance theory development, improve the quality of empirical studies and to stimulate the application of research findings in practice. TRF provides a focus and a means of communication for the considerable amount of research activities that are now being carried out in this field. The journal provides a forum for transportation researchers, psychologists, ergonomists, engineers and policy-makers with an interest in traffic and transport psychology.