Fighting fatigue: A conceptual model of driver sleep in the gig economy
| Autor: | Faviola Robles-Saenz, Rebecca M. Brossoit, Molly Tran, Tori L. Crain |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Employment
Automobile Driving media_common.quotation_subject Applied psychology Context (language use) Occupational safety and health 03 medical and health sciences Behavioral Neuroscience 0302 clinical medicine Humans 030212 general & internal medicine Practical implications Fatigue Occupational Health media_common Job attitude Models Theoretical Conceptual model Industrial and organizational psychology Sleep (system call) Safety Sleep Psychology human activities 030217 neurology & neurosurgery Gig economy |
| Zdroj: | Sleep Health. 6:358-365 |
| ISSN: | 2352-7218 |
| DOI: | 10.1016/j.sleh.2020.02.004 |
| Popis: | The purpose of this paper was to integrate the sleep science, occupational health, and organizational psychology literature to develop a conceptual model of driver sleep and fatigue in the gig economy. We develop an integrative framework, which proposes that aspects of the on-demand driving context influence driver sleep health and fatigue. Driver outcomes include safety incidents, injuries, health, job attitudes, interpersonal behavior, and performance. In addition, moderators, such as driver demographics and health conditions, can interact with aspects of the driver context. A number of practical implications are provided, addressing the ways in which occupational health researchers, online labor platform companies, and drivers can improve sleep health. This is the first paper to provide a broad understanding of how scientists, through both research and practice, can help improve sleep, a primary issue in the ridesharing industry. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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