Between autonomy and control: Strategies of arbitrage in the “on-demand” economy

By Aaron Shapiro. New Media & Society, 2018

300 citations recorded by the source corpus.

Subfields: General Health Professions, Marketing, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/e62dfe95a086c3c1d35b90cc852d35cfb47d1d70

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In General Health Professions

1. Paul Glavin
2. Scott Schieman
3. A. Bierman
4. Katherine C. Kellogg
5. J. Schor
6. Angèle Christin
7. Steven P. Vallas
8. Melissa A. Valentine

In Marketing

1. Steven P. Vallas
2. Will Sutherland
3. Mohammad Hossein Jarrahi
4. Katherine C. Kellogg
5. J. Schor
6. Angèle Christin
7. Melissa A. Valentine
8. B. Thompson

In Sociology and Political Science

1. Scott Schieman
2. Katherine C. Kellogg
3. Melissa A. Valentine
4. Angèle Christin
5. Steven P. Vallas
6. Paul Glavin
7. A. Bierman
8. J. Schor

Citations in the corpus

• Good Gig, Bad Gig: Autonomy and Algorithmic Control in the Global Gig Economy (2018, unknown): “Shapiro (2017) refers to the autonomy of local gig workers over things such as when to work and which orders to accept or reject as only constituting ‘autonomy over minute decisions’.”
• Algorithmic management in a work context (2021, background): “Since many work activities are mediated via platforms, gig work organizations can utilize “soft” forms of workforce surveillance and control to monitor how workers spend their time and where they are located (Duggan et al., 2019; Shapiro, 2018).”
• Algorithms at Work: The New Contested Terrain of Control (2020, methodology): “In platform labor markets such as Amazon Mechanical Turk (Irani, 2015), Uber (Rosenblat & Stark, 2016), Caviar (Shapiro, 2018), and others (Rahman, 2019), workers who complied with algorithmic assignments were immediately rewarded with more work, higher pay, and increased flexibility.”
• What Do Platforms Do? Understanding the Gig Economy (2020, background): “For example, in ride-hail and delivery, platforms blind providers by withholding information about incoming jobs, which reduces worker autonomy and income (Rosenblat & Stark 2016, Shapiro 2018).”
• Über-Alienated: Powerless and Alone in the Gig Economy (2021, background): “Platform workers may be technically free to choose their schedules or even switch platforms 405Glavin et al. (Occhiuto, 2017); however, intense competition for assignments means that it is often customer demand that instead dictates a worker’s schedule (Shapiro, 2018).”