Results 61 to 70 of about 577,934 (272)

The Public’s Self-Avoidance and Other-Reliance in the Reporting of Medical Insurance Fraud: A Cross-Sectional Survey in China

open access: yesRisk Management and Healthcare Policy, 2023
Jinpeng Xu,1 Guomei Tian,2 Jingran He,1 Fangmin Deng,1 Fangting Chen,1 Qi Shi,1 Jian Liu,1 Hongyu Zhang,1 Ting Zhang,1 Qunhong Wu,1 Zheng Kang1 1School of Health Management, Harbin Medical University, Harbin, People’s Republic of China; 2Department of ...
Xu J   +10 more
doaj  

Fraud detection in supplementary health insurance based on smart contract in blockchain ‎network [PDF]

open access: yesMathematics and Modeling in Finance
This study aims to examine the function of blockchain technology to detect fraud in health insurance. we consider the literature on fraud in health insurance, blockchain, and smart contracts to to test a newly structured software system based on ...
Abbas Raad, Reza Ofoghi, Ghadir Mahdavi
doaj   +1 more source

Contrasts or Carryover? Demands–Capabilities Fit and Task‐Level Intrinsic Motivation Across the Workday

open access: yesJournal of Organizational Behavior, EarlyView.
ABSTRACT In the course of a workday, employees attend to various tasks whose challenge might be equal to, higher than, or lower than employees' present level of capabilities. Moreover, employees encounter these tasks sequentially throughout the day with different levels of prior motivation. Investigating carryover effects in motivation from one task to
Sherry (Qiang) Fu   +4 more
wiley   +1 more source

Data‐Driven Marketing Processes: A Roadmap for Big Data Analytics Adoption in a Brazilian SaaS SME

open access: yesKnowledge and Process Management, EarlyView.
ABSTRACT Small and medium‐sized enterprises (SMEs) often face unique challenges in integrating advanced digital technologies due to limited resources and organizational constraints. While much attention has been given to large firms' adoption of big data analytics (BDA) and artificial intelligence (AI), less is known about how SMEs can leverage these ...
Fabricio Venancio   +2 more
wiley   +1 more source

Explainable machine learning models for Medicare fraud detection

open access: yesJournal of Big Data, 2023
As a means of building explainable machine learning models for Big Data, we apply a novel ensemble supervised feature selection technique. The technique is applied to publicly available insurance claims data from the United States public health insurance
John T. Hancock   +3 more
doaj   +1 more source

Crisis Preparation, Capacity Building, and Community Resilience: Lessons From Maui

open access: yesNonprofit Management and Leadership, EarlyView.
ABSTRACT The 2023 Maui wildfires provide a unique context to explore the impact of nonprofit crisis networks taking a proactive role in community crisis response, leveraging resources, expertise, and networks. The Hawaiʻi Community Foundation (HCF) has been a key player in Maui's local response, providing critical support, mobilizing volunteers, and ...
Lauren Azevedo   +3 more
wiley   +1 more source

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong   +13 more
wiley   +1 more source

Auto Insurance Fraud Detection using Machine learning Contrasting US and Moroccan Companies

open access: yesProceedings of the International Conference on Industrial Engineering and Operations Management
Insurance fraud, especially automobile insurance fraud, is a common fraud topic which causes significant financial losses for insurance companies. Dishonest claims impose a significant financial strain on insurance companies which influence on the entire
Sidi Aly Mouna, Kissani Ilham
semanticscholar   +1 more source

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

open access: yesSystems 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

FIGHTING INSURANCE FRAUD USING TECHNOLOGY [PDF]

open access: yesAnalele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie, 2023
The risk of insurance fraud, or fraud in general, has been analyzed for a very long time, but at the current moment it has become more intense. Insurance fraud has many aspects related to traditional claims (for example: death, disability, income ...
VĂDUVA MARIA
doaj  

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