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Content type: Examples
1st December 2017
In 2017, Uber began a programme experimenting with using psychology and social science insights to influence when, where, and how long its drivers work. Among other techniques, Uber auto-loaded the next fare to encourage the driver equivalent of binge TV-watching; reminded drivers when they're close to their earnings targets to keep them from logging off; and used game-style graphics and small-value awards to keep drivers at the wheel. The company also had male managers adopt female personas…
Content type: Case Study
30th August 2017
Gig economy jobs that depend on mobile applications allow workers’ movements to be monitored, evaluated, and exploited by their employers.
The so-called “gig economy” has brought to light employers’ increasing ability and willingness to monitor employee performance, efficiency, and overall on-the-job conduct. Workplace surveillance of gig economy workers often happens without employees’ awareness or consent. This is especially evident in the app-based gig economy, where apps act both as an…