Kalinda Ukanwa

University of Southern California - Marshall School of Business

701 Exposition Blvd, HOH 431

Los Angeles, CA California 90089-1424

United States

SCHOLARLY PAPERS

3

DOWNLOADS

458

SSRN CITATIONS

0

CROSSREF CITATIONS

0

Ideas:
“  I'm currently working on two connected research areas: 1) algorithmic bias and 2) consumer reputation. The two areas are connected because they both address questions of how beliefs formed about consumers influences decision-making in various settings.  ”

Scholarly Papers (3)

1.

Algorithmic Bias in Service

USC Marshall School of Business Research Paper
Number of pages: 69 Posted: 20 Aug 2020 Last Revised: 30 Nov 2021
Kalinda Ukanwa and Roland T. Rust
University of Southern California - Marshall School of Business and University of Maryland - Robert H. Smith School of Business
Downloads 334 (139,970)
Citation 4

Abstract:

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algorithms, algorithmic bias, algorithmic fairness, discrimination, word of mouth, agent-based modeling

2.

Algorithmic Fairness and Service Failures: Why Firms Should Want Algorithmic Accountability

Number of pages: 25 Posted: 07 Jul 2022
Kalinda Ukanwa, William Rand and Peter Pal Zubcsek
University of Southern California - Marshall School of Business, North Carolina State University and Tel Aviv University - Coller School of Management
Downloads 74 (482,664)

Abstract:

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algorithmic accountability, algorithmic fairness, service failure, word-of-mouth, social influence, diffusion

3.

Piracy, Lawsuits, and Competition for Reputation

USC Marshall School of Business Research Paper Sponsored by iORB
Number of pages: 51 Posted: 26 Feb 2022
Kalinda Ukanwa and David Godes
University of Southern California - Marshall School of Business and University of Maryland
Downloads 50 (584,432)

Abstract:

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piracy, lawsuits, reputation, competition, firm interventions, disincentives, deterrence