Fraud detection - Open Access .click

Results 191 to 200 of about 4,440,100 (389)

Food Science and Technology, 2017
openaire +1 more source

Are boards reluctant to remove poorly performing successors to interim CEOs?

Strategic Management Journal, EarlyView.
Abstract Research Summary Interim CEO appointments are disruptive and costly to firms. Boards justify them as necessary to find the right permanent successor. But what happens if that successor performs poorly? This paper argues that directors may be reluctant to remove a poorly performing successor to an interim CEO early in their tenure.
Robert Langan
wiley +1 more source

A Machine and Deep Learning Framework for Robust Health Insurance Fraud Detection and Prevention

, 2023
Suhag Pandya
openalex +1 more source

How to grow new applications out of old research? Evidence from firm cumulative investments in deep learning

Strategic Management Journal, EarlyView.
Abstract Research Summary Firm technological research has the potential to spawn multiple applications. Despite recognizing such potential, past literature disagrees on the process through which firms discover and grow new applications out of their past technological research.
Xirong (Subrina) Shen
wiley +1 more source

Hypergraph-based contrastive learning for enhanced fraud detection. [PDF]

Front Artif Intell
Wang Q, Shen Y, Dong H.
europepmc +1 more source

Metaverse and Artificial Intelligence as Web 4.0: The Next Generation of the Internet

Systems Research and Behavioral Science, EarlyView.
ABSTRACT This study utilizes systems thinking to explore and entwine an evolving metaverse scholarship to a relatively underexplored phenomenon of Web 4.0. We adopt a soft systems thinking framework to guide the interpretation of complex and evolving metaverse scholarship, using bibliometric mapping of 5587 publications sourced from Scopus.
Anton Klarin +3 more
wiley +1 more source

Fraud detection and explanation in medical claims using GNN architectures. [PDF]

Sci Rep
Muhammad R +6 more
europepmc +1 more source

Financial Fraud Detection through Dynamic Institutional Investor Networks: A Network-Based Learning Framework

Chang Qi, Caijia Zhu, Lan Wei
openalex +1 more source

The influence of professional skepticism, auditor’s experiences, and competency on fraud detection

, 2023
Retna Sari, Stefanie Andrian
openalex +2 more sources

A Multi‐Criteria and Empirical Study for Determining the Influencing Factors of Generative Artificial Intelligence Adoption in Companies

Systems Research and Behavioral Science, EarlyView.
ABSTRACT Generative artificial intelligence (GenAI) has emerged as a transformative force across business and society due to its ability to generate new content. This potential to reshape businesses introduces challenges and opportunities, necessitating a deeper understanding of GenAI's impact.
Symone G. S. Alcalá +3 more
wiley +1 more source

data mining
credit card fraud
computer security

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