Results 81 to 90 of about 216,890 (268)

Fair Markets and Resilient Supply Chains: Designing Sustainable Intermediation for Rural Communities

open access: yesSustainable Development, EarlyView.
ABSTRACT Agriculture in Ecuador's communes faces significant economic, social, and environmental challenges, intensified by supply chains dominated by traditional intermediaries. The lack of context‐specific sustainability studies further increases the vulnerability of smallholders.
Jacqueline del Rocío Bacilio Bejeguen   +3 more
wiley   +1 more source

Hybrid Unsupervised Machine Learning for Insurance Fraud Detection: PCA-XGBoost-LOF and Isolation Forest

open access: yesJournal of Information Systems and Informatics
Insurance fraud poses a significant threat to the financial stability of insurance companies, resulting in substantial economic losses. To combat this issue, this study proposes a novel unsupervised machine learning hybrid algorithm, integrating ...
Natsai Chapwanya   +1 more
doaj   +1 more source

Lifecycle‐Based Governance to Build Reliable Ethical AI Systems

open access: yesSystems Research and Behavioral Science, EarlyView.
ABSTRACT Artificial intelligence (AI) systems represent a paradigm shift in technological capabilities, offering transformative potential across industries while introducing novel governance and implementation challenges. This paper presents a comprehensive framework for understanding AI systems through three critical dimensions: trustworthiness ...
Maikel Leon
wiley   +1 more source

Insurance in a Market for Credence Goods [PDF]

open access: yes
We study the impact of insurance on the amount of fraud in a physician-patient relationship. In a market for credence goods, where prices are regulated by an authority, physicians act as experts.
Achim Wambach, Kai Sülzle
core  

A Continuous Theory of Income Insurance [PDF]

open access: yes
In this paper we treat an individual’s health as a continuous variable, in contrast to the traditional literature on income insurance, where it is regularly treated as a binary variable.
Lindbeck, Assar, Persson, Mats
core   +3 more sources

Analisis Faktor Internal dan Eksternal sebagai Bahan Penyusun Strategi Pencegahan Fraud Dana Kapitasi Puskesmas di Kota Semarang [PDF]

open access: yes, 2015
National Health Insurance Programme (JKN) is part of National Social Insurance System (SJSN) which is held by mandatory social health insurance based on regulation number 40 year 2004.
Arso, S. P. (Septo)   +2 more
core  

Lobbying and Political Risk Disclosure: Do Socially Responsible Firms Voluntarily Disclose More?

open access: yesBritish Journal of Management, EarlyView.
Abstract Drawing on theories of strategic communication, legitimacy, impression management and moral capital, this study investigates whether firms use political risk disclosure to offset negative perceptions associated with corporate lobbying. Using a sample of 10,120 observations from 1362 US firms between 2002 and 2018, we find that firms with ...
Maretno A. Harjoto   +4 more
wiley   +1 more source

INSURANCE FRAUD It is required the emergence of a specialized entity at the level of the market in the fight against insurance fraud? [PDF]

open access: yesAnalele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie, 2014
We all live in a world of more and more kneaded and growing challenges. On the background of globalization and computerization, the global economy and national economies are becoming more and more sophisticated and unpredictable. Risks are multiplying,
DUMITRU G. BADEA
doaj   +2 more sources

Concept of «insurance swindle»: a comparative-legal analysis

open access: yesRUDN Journal of Law, 2009
The article is devoted to the study of different interpretations of insurance fraud. The problem of the investigation of insurance fraud is considered in comparison with foreign experience.
N V Bykova
doaj  

From prediction to trust: enhancing deep learning models for insurance fraud detection through uncertainty quantification [PDF]

open access: yesPeerJ Computer Science
This study applies uncertainty quantification techniques to deep neural networks for automobile insurance fraud detection to address the critical need for confidence estimation in artificial intelligence (AI)-driven decision systems.
Ziad Salem   +2 more
doaj   +2 more sources

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