12/30/2023 0 Comments Gigeconomy online statisticsCes études établissent un lien conceptuel entre les conditions de travail de ces travailleurs à la demande et la façon dont celles-ci sont déclarées dans les données fiscales. Une littérature en pleine expansion sur le travail informel s'appuie de plus en plus sur des données administratives pour estimer l'évolution de cette économie et en apprendre davantage sur ce qui caractérise les pigistes, travailleurs de plateformes et autres types de travailleurs communément appelés « travailleurs à la demande ». Mesurer l'économie à la demande au Canada au moyen des données administratives. By linking administrative data to 2016 census microdata, we are also able to examine educational and occupational differences in the prevalence of gig workers. Our analysis highlights gender differences in the trends and characteristics of gig workers. Some of this increase coincided with the introduction and proliferation of online platforms. Based on our definition, the share of gig workers among all workers rose from 5.5% in 2005 to 8.2% in 2016. We contribute to this literature by introducing a method of identifying gig workers specific to the way work arrangements are reported in the Canadian tax system and estimating the size of the gig economy in Canada using administrative data. The findings of this trial suggests that the greater challenge for implementation and scaling of messaging interventions is first determining how best to ensure these interventions are received, read, and acted upon by FDWs.A rapidly growing literature on informal work increasingly turns to administrative data to document changes in the size of informal economy and to learn more about the characteristics of freelancers, on-demand/platform workers and similar types of workers commonly referred to as “gig workers.” These studies have established a conceptual link between the work arrangements of gig workers and how these are reported in tax data. FDWs who opened at least one message showed 3% slower average travel speeds relative to the control group, which was a statistically significant difference. In the trial, the FDP sent one message per week via the FDP’s in-app messaging function to 7,066 of their active FDWs, with the remaining 7,215 FDWs acting as the control group. The intervention was a suite of four messages, each underpinned by a different behavioural science principle: beliefs about consequences, anchoring, descriptive social norms, and implementation intentions. However, the Food Delivery Platforms (FDPs) that contract FDWs are also crucial stakeholders within the WHS landscape. FDPs and FDWs share a duty of care toward anyone involved in or impacted by their work, yet ambiguity remains over who is responsible for which aspects of WHS risk mitigation and management.Ī key issue that emerged during co-design was that many FDPs intend delivery times to be an estimation, while FDWs perceive them as an expectation, beyond which they could incur penalties for failing to consistently meet the delivery times shown in the app. Reducing respirable crystalline silica exposureįood delivery workers (FDWs) in the platform-based gig economy are at risk of illness or injury while working. While the number of incidents involving FDWs that have been reported to SafeWork NSW is low, there has been an exponential increase over the past three years, from one incident reported in 2017 to 19 in the first half of 2020 alone. The majority of these incidents are road and traffic related, but previous research has highlighted additional harms that FDWs risk on the job, including physical assault, intimidation, and verbal abuse.įDWs are independent contractors and are thus primarily responsible for their own WHS. The link between workplace stressors and physical injuryĭriving Health: National Transport Industry Health and Wellbeing StudyĮthical use of artificial intelligence in the workplace Work health and safety harms affecting Aboriginal workers and businesses Understanding suicide rates in different occupational and industry groups Understanding effective enforcement tools The ageing demographic of the Australian workforce: prevention of work health and safety harm Musculoskeletal disorders from patient handling Mental health in remote and rural farming communities Gig economy roles and responsibilities in WHS Building Information Modelling (BIM) for WHS management
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