Which Clients are Deserving of Help? : A Theoretical Model and Experimental Test

By S. Jilke, Lars Tummers. 2018

269 citations recorded by the source corpus.

Subfields: Education, Management Science and Operations Research, Public Administration

View Paper: https://www.semanticscholar.org/paper/23b072a882a3843a6ff20bb19bc1bfc355b3c8f5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Education

1. M. Davidovitz
2. N. Cohen

In Management Science and Operations Research

1. M. Davidovitz
2. N. Cohen

In Public Administration

1. M. Davidovitz
2. Madalina Busuioc
3. N. Cohen

Citations in the corpus

• Human-AI Interactions in Public Sector Decision-Making:"Automation Bias"and"Selective Adherence"to Algorithmic Advice (2021, background): “…on bureaucratic discrimination indicating that bureaucratic decision-makers search for stereotype-consistent cues in their decisions, or respond to them unconsciously (e.g., Andersen and Guul 2019; Assouline, Gilad, and Bloom 2022; Jilke and Tummers 2018; Pedersen et al. 2018; Schram et al. 2009).”
• Playing defence: the impact of trust on the coping mechanisms of street-level bureaucrats (2020, background): “To make these determinations, they categorize them on a hierarchy of worthiness (Jilke and Tummers 2018), and adjust how they face them based thereon.”