Gig Economy Dynamics and Employment Relations

The gig economy encompasses a rapidly expanding segment of work in which digital platforms mediate short-term, task-based engagements rather than traditional, long-term employment contracts. Characterised by flexible scheduling, workers in the gig economy navigate a complex interplay between autonomy and algorithmic control. Digital intermediaries deploy data-driven management systems that can optimise task allocation and performance monitoring, yet also introduce precarity through unpredictable earnings, limited social protections and fragmented relationships with platform firms. Employment relations are being reshaped as regulators, firms and worker groups debate the classification of gig workers, balancing the need for labour flexibility against demands for minimum standards, collective representation and access to benefits. This evolving landscape has global implications, influencing labour markets in both advanced and emerging economies and prompting innovations in human-resource management, social policy and platform design to address issues of fairness, accountability and worker wellbeing.

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Gig Economy Dynamics and Employment Relations publication trend

The graph below shows the total number of articles in gig economy dynamics and employment relations across all publications each year (not limited to Nature Index journals).

Technical terms

Gig economy: A labour market characterised by short-term, on-demand tasks mediated through digital platforms rather than traditional employment contracts.

Algorithmic management: The use of automated decision-making systems to allocate work, monitor performance and enforce rules on digital labour platforms.

Platform labour: Work performed by individuals who connect to customers via digital intermediaries and transact on a per-task basis.

Precarity: Employment conditions marked by instability, lack of social protections and unpredictable income streams.

Autonomy: The degree of control and discretion workers have over the timing, pace and methods of their work.

References

1. The duality of algorithmic management: Toward a research agenda on HRM algorithms, autonomy and value creation. Human Resource Management Review (2023).
2. “We don't need no (higher) education” - How the gig economy challenges the education-income paradigm. Technological Forecasting and Social Change (2023).
3. Fostering humanistic algorithmic management: A process of enacting human-algorithm complementarity. The Journal of Strategic Information Systems (2024).