Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
1-2026
Abstract
Social referral programs are commonly used by online labor platforms to incentivize labor supply by rewarding existing workers for successful referrals. This study investigates the impact of such programs on gig workers' labor supply in online labor platforms using data from an on-demand food delivery platform in Singapore. In particular, we analyze how gig workers' past labor supply and referral behavior influence the generation and value of social referrals. This research offers insights into the mechanisms that drive labor supply dynamics in the gig economy and highlights the effectiveness of social referral programs for shaping worker behavior and enhancing platform performance.
Keywords
gig worker, social referrals, on-demand platforms, driver welfare
Discipline
Artificial Intelligence and Robotics
Research Areas
Intelligent Systems and Optimization
Areas of Excellence
Sustainability
Publication
Proceedings of the 59th Hawaii International Conference on System Sciences (HICSS-59), 2026 January 6-9
First Page
4171
Last Page
4180
City or Country
Singapore
Citation
WANG, Hai; SUN, Hao; and ZHANG, Peter.
Gig worker social referrals on an on-demand food delivery platform. (2026). Proceedings of the 59th Hawaii International Conference on System Sciences (HICSS-59), 2026 January 6-9. 4171-4180.
Available at: https://ink.library.smu.edu.sg/sis_research/10769
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://scholarspace.manoa.hawaii.edu/server/api/core/bitstreams/49744d92-8304-498f-a5d9-40fee80832bd/content