Search Results - subject:"algorithmic fairness"

Apparent algorithmic discrimination and real-time algorithmic learning in digital search advertising

Lambrecht, Anja; Tucker, Catherine - In: Quantitative marketing and economics : QME 22 (2024) 4, pp. 357-387

Persistent link: https://www.econbiz.de/10015127385

Does work overload of odd-job platform workers lead to turnover intention? An empirical study on platform workers

Liu, Shan; Xu, Guang; Zhong, Jie; Xu, Yuling - In: Baltic Journal of Management 19 (2024) 5, pp. 497-511

test job burnout as a mediator variable and perceived algorithmic fairness and job autonomy as moderating variables. We …) work overload increases the turnover intention of platform workers by increasing job burnout and (2) perceived algorithmic … fairness and job autonomy moderate the positive relationship between work overload and job burnout. Originality/value We …

Persistent link: https://www.econbiz.de/10015341635

Does work overload of odd-job platform workers lead to turnover intention? : an empirical study on platform workers

Liu, Shanshi; Xu, Guang; Zhong, Jie; Xu, Yuling - In: Baltic journal of management : BJM 19 (2024) 5, pp. 497-511

Persistent link: https://www.econbiz.de/10015400755

The Cost of Fairness in AI: Evidence from E-Commerce

von Zahn, Moritz; Feuerriegel, Stefan; Kuehl, Niklas - In: Business & Information Systems Engineering 64 (2021) 3, pp. 335-348

Contemporary information systems make widespread use of artificial intelligence (AI). While AI offers various benefits, it can also be subject to systematic errors, whereby people from certain groups (defined by gender, age, or other sensitive attributes) experience disparate outcomes. In many...

Persistent link: https://www.econbiz.de/10014501452

Is algorithmic credit scoring a "high risk"?

Milkau, Udo - In: Journal of digital banking 7 (2023) 3, pp. 249-265

Persistent link: https://www.econbiz.de/10014309807

Machine Learning and Law and Economics: A Preliminary Overview

Park, Sangchul; Ko, Haksoo - In: Asian Journal of Law and Economics 11 (2020) 2

Abstract This paper provides an overview of machine learning models, as compared to traditional economic models. It also lays out emerging issues in law and economics that the machine learning methodology raises. In doing so, Asian contexts are considered. Law and economics scholarship has...

Persistent link: https://www.econbiz.de/10014585226

Fairness in credit scoring : assessment, implementation and profit implications

Kozodoi, Nikita; Jacob, Johannes; Lessmann, Stefan - In: European journal of operational research : EJOR 297 (2022) 3, pp. 1083-1094

Persistent link: https://www.econbiz.de/10013262223

IMF fairness : calibrating the policies of the International Monetary Fund based on distributive justice

Daoud, Adel; Herlitz, Anders; Subramanian, S. V. - In: World development : the multi-disciplinary … 157 (2022), pp. 1-16

Persistent link: https://www.econbiz.de/10013413231

Emerging research problems in different business domains : an analytics perspective

Gupta, Sushil K.; Parra, Carlos M.; Kumar, Subodha - In: Production and operations management : the flagship … 31 (2022) 10, pp. 3647-3650

Persistent link: https://www.econbiz.de/10013419387

Algorithmic fairness in business analytics : directions for research and practice

De-Arteaga, Maria; Feuerriegel, Stefan; … - In: Production and operations management : the flagship … 31 (2022) 10, pp. 3749-3770

Persistent link: https://www.econbiz.de/10013419394