Algorithmic Management Drives Gig Worker Engagement Through Perceived Autonomy and Flexibility, Despite Precarious Conditions
In the gig economy, algorithmic management, while creating precarious work, can still foster worker engagement by offering perceived autonomy and flexibility, which are key motivators for participation.
Information Technology and People · 2023
Key Findings
- 01Algorithmic management creates ultra-precarious working conditions and employment uncertainty.
- 02Higher job flexibility and autonomy are key motivators for workers to engage in digital platform work.
- 03Algorithmic management facilitates transactional exchanges between platforms and drivers, while relational exchanges occur between drivers and customers.
- 04Algorithmic management impacts worker attitudes and performance.
Application
Design takeaway
Designers of gig economy platforms should prioritize features that enhance perceived worker autonomy and flexibility, while simultaneously exploring ways to introduce greater stability and support to mitigate the negative impacts of algorithmic control.
How to apply
When designing or evaluating gig economy platforms, consider conducting user research to understand the trade-offs workers make between flexibility/autonomy and job security, and how algorithmic systems influence these perceptions.
Project actions
- 01When researching gig economy platforms, consider the balance between worker autonomy and platform control.
- 02Investigate how algorithms shape user experience and employment relationships.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Provides a developing country perspective on a global phenomenon.
- +Utilizes qualitative data to offer rich insights into lived experiences.
Limitations
The findings are specific to the Nigerian context and ride-hailing services, so they might not apply everywhere or to all types of gig work.
Reliability & validity
The qualitative nature of the study provides rich, in-depth data, but the findings' generalizability might be limited. Triangulation of data from drivers and managers helps enhance validity.
Think critically
To what extent can the perceived benefits of flexibility and autonomy under algorithmic management truly compensate for the lack of traditional employment security, and what are the long-term societal implications?
Design Principles
"Balance algorithmic efficiency with human-centric design principles that acknowledge the need for autonomy, flexibility, and a degree of employment security."
Understanding the dual nature of algorithmic management is crucial for designing sustainable gig economy platforms. Designers and strategists must balance the efficiency gains of algorithms with the human need for security and fair employment practices.
What This Means for Your Design
Even though working through apps like Uber can be unstable, people like it because they feel more in control of their time and can work when they want.
How to use in your project
- 1.Use this study to justify investigating the impact of algorithmic management on user experience in your own design project.
- 2.Reference the findings on worker motivation (flexibility, autonomy) when discussing user needs or design goals.
Add to My Project
Quick Cite
(2023). Implications of algorithmic management on careers and employment relationships in the gig economy – a developing country perspective. Information Technology and People. https://doi.org/10.1108/itp-01-2023-0064 Retrieved from https://designdex.org/study/c258094e-ca21-463e-8abe-5e67668c4ef2/algorithmic-management-drives-gig-worker-engagement-through-perceived-autonomy-and-flexibility-despite-precarious-conditions
Paragraph starter
This research indicates that algorithmic management in the gig economy, while often associated with precarious work, can be a significant driver of worker engagement due to the perceived benefits of flexibility and autonomy. For instance, studies in the Nigerian gig economy found that drivers on platforms like Uber and Bolt were motivated to participate despite uncertainties, highlighting the importance of these factors in user attraction and retention.
Source
Information Technology and People
Implications of algorithmic management on careers and employment relationships in the gig economy – a developing country perspective
journal · 2023
View sourceQuestions about this research
- What does the research say about algorithmic management drives gig worker engagement through perceived autonomy and flexibility, despite precarious conditions?
- Designers of gig economy platforms should prioritize features that enhance perceived worker autonomy and flexibility, while simultaneously exploring ways to introduce greater stability and support to mitigate the negative impacts of algorithmic control. Evidence: Information Technology and People (2023).
- Why does "Algorithmic Management Drives Gig Worker Engagement Through Perceived Autonomy and Flexibility, Despite Precarious Conditions" matter for design?
- Understanding the dual nature of algorithmic management is crucial for designing sustainable gig economy platforms. Designers and strategists must balance the efficiency gains of algorithms with the human need for security and fair employment practices.
- How can designers apply this research?
- Designers of gig economy platforms should prioritize features that enhance perceived worker autonomy and flexibility, while simultaneously exploring ways to introduce greater stability and support to mitigate the negative impacts of algorithmic control.
- What were the main findings?
- Algorithmic management creates ultra-precarious working conditions and employment uncertainty.. Higher job flexibility and autonomy are key motivators for workers to engage in digital platform work.. Algorithmic management facilitates transactional exchanges between platforms and drivers, while relational exchanges occur between drivers and customers.. Algorithmic management impacts worker attitudes and performance.
- What research method was used?
- Qualitative research using semi-structured interviews. with 49 participants (46 drivers, 3 managers).
- How strong is the evidence?
- Evidence strength is rated Moderate effect, based on a 2023 journal from Information Technology and People.
- What should I do differently in my next project?
- When designing or evaluating gig economy platforms, consider conducting user research to understand the trade-offs workers make between flexibility/autonomy and job security, and how algorithmic systems influence these perceptions.
- What are the limitations?
- Focuses on a specific developing country context (Nigeria) and ride-hailing platforms, which may limit generalizability to other regions or gig economy sectors.
- Is there evidence that algorithmic management affects design outcomes?
- Despite the instability and uncertainty inherent in algorithmic management within the gig economy, workers are drawn to these platforms primarily for the flexibility and autonomy they offer, leading to a transactional relationship with the platform but a more relational one with customers. Understanding the dual nature Source: Information Technology and People (2023).
- Where does this gig economy research apply?
- Gig economy, ride-hailing platforms (Uber, Bolt), developing country perspective (Nigeria). It sits within innovation & markets research on designdex.org.
Related research topics
algorithmic management design research · evidence on algorithmic management · does algorithmic management improve design outcomes · gig economy studies for designers · algorithmic management and gig economy findings · innovation & markets research evidence