On the public citation graph

The role of within-day learning on gig workers’ performance and task allocation: Evidence from an on-demand platform

https://doi.org/10.2139/ssrn.4546690
0 signed · 4 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4650544openalex-extracted
Improving Picking Efficiency of On-demand Grocers When Customers and Order Pickers Co-exist
inferred← citeshttps://doi.org/10.1007/978-3-032-08483-5_20openalex-snapshot
Understanding Algorithmic Management in the Traditional Work Context: A Quantitative Analysis
inferred← citeshttps://doi.org/10.1145/3757621openalex-snapshot
Learning on the Go: Understanding How Gig Economy Workers Learn with Recommendation Algorithms
inferred← citeshttps://doi.org/10.63537/rg1156299openalex-snapshot
Examining the performance of on-demand platforms through three lenses: worker, store, and customer
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.