Rethinking job dimensions
The value of riders and gig economy workers
Bibliographic Data
| ID | 21402900 |
|---|---|
| Authors | Virginia Navajas-Romero (0000-0001-7381-8071, Universidad Laboral de Córdoba), Rocío Muñoz Benito (0000-0003-0201-6260, Universidad Laboral de Córdoba), María Isabel Sánchez‐rodríguez (0000-0003-0657-7823, Universidad Laboral de Córdoba, corresponding author) |
| Year | 2026 |
| Volume | 222 |
| Pages | 124379 |
| Publication date | 2026-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Technological Forecasting and Social Change (JOURNAL) |
| Journal identifiers | ISSN: 0040-1625 • E-ISSN: 1873-5509 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.techfore.2025.124379 |
| OpenAlex | W4415293494 |
| Language | EN |
| References cited | 43 |
In today's rapidly changing business environment, organisations must adapt quickly, particularly in the context of the growing gig economy—a subset of the collaborative economy characterised by flexible and temporary jobs often involving bogus self-employment. This paper adopts a comprehensive and systematic approach to investigating the working conditions of riders within the gig economy and their relationships with platforms. By distinguishing riders from other gig economy workers, this study offers a detailed examination of riders' unique challenges, particularly regarding job precarity and algorithmic control. Using the Digital Labour Platforms in the EU: Mapping and Business Model , which analyses platforms across the EU-27, this qualitative comparative analysis reveals that riders face distinct working conditions compared to other gig economy workers. The study further explores riders' work, employment, and social dimensions, providing new insights into the complex dynamics that define their roles within the gig economy. • Organisations must strive to respond quickly in today's business environment. • Gig economy is based on flexible jobs whose professionals work linked to platforms. • fsQCA is appropriate for small samples which do not adapt to statistical models. • Riders' working conditions and their relationships with platforms are analysed
Business model · Context (archaeology) · Digital economy · Face (sociological concept) · Gig economy · Precarity · Sharing economy · Value (mathematics) · Work (physics) · Digital Economy and Work Transformation · Employment and Welfare Studies · Sharing Economy and Platforms
Hustle and Gig
Working with Machines
The Human Capital Hoax
Are high-density districts more vulnerable to the Covid-19 pandemic
The contributions of qualitative comparative analysis (QCA) to international business research
Set-Theoretic Methods for the Social Sciences
Regulating work in the gig economy
The health of workers in the global gig economy
The ethical debate about the gig economy
Between autonomy and control
The platformization of cultural production
Riders on the Storm
Risk Shifts in the Gig Economy
The sharing economy
Theorising labour unrest and trade unionism in the platform economy
Social security for Spain’s platform workers
Labour process theory and the gig economy
Youth, enterprise and precarity
Strategy or Structure? Capital, Labour and Control
Riders on the Storm
Platform-Capital's 'App-etite' for Control
Good Gig, Bad Gig
What Do Platforms Do? Understanding the Gig Economy
| Highly cited | No |
|---|