Results 41 to 50 of about 498,282 (212)

Digital transformation in insurance

open access: yesВестник Северо-Кавказского федерального университета, 2023
The introduction and development of digital technologies has led to a market transformation, which, in turn, requires entrepreneurs to reconsider their business models and realize new business development prospects.
O. N. Pakova   +3 more
doaj   +1 more source

Other title: Kansas Insurance Department news release

open access: yes, 2021
This internet resource contains news releases issued throughout the yearCommissioner Vicki Schmidt selected for NAIC Committee Leadership -- Missouri man convicted of Kansas Securities violations, ordered to pay $550,000 and sentenced to 12 months in ...
Kansas. Insurance Department.
core  

Driving Behavior and Insurance Pricing: A Framework for Analysis and Some Evidence from Italian Data Using Zero-Inflated Poisson (ZIP) Models

open access: yesRisks
Usage-Based Insurance (UBI), also referred to as telematics-based insurance, has been experiencing a growing global diffusion. In addition to being well established in countries such as Italy, the United States, and the United Kingdom, UBI adoption is ...
Paola Fersini   +2 more
doaj   +1 more source

BPM and Process Performance: A Bibliometric Synthesis, Cases, and Research Agenda Anchored in the SDGs

open access: yesKnowledge and Process Management, Volume 33, Issue 3, Page 1166-1186, July/September 2026.
ABSTRACT This study reviews BPM literature, examining how research conceptualizes and reports the relationship between BPM, performance, and sustainability, key trends, gaps, and future directions, combining bibliometric analysis with previously published case studies to connect theory and practice for organizational optimization.
Julio Gumiero   +2 more
wiley   +1 more source

Claim Prediction and Premium Pricing for Telematics Auto Insurance Data Using Poisson Regression with Lasso Regularisation

open access: yesRisks
We leverage telematics data on driving behavior variables to assess driver risk and predict future insurance claims in a case study utilising a representative telematics sample. In the study, we aim to categorise drivers according to their driving habits
Farha Usman   +4 more
doaj   +1 more source

Identification of Road Network Intersection Types from Vehicle Telemetry Data Using a Convolutional Neural Network

open access: yesISPRS International Journal of Geo-Information, 2022
GPS trajectories collected from automotive telematics for insurance purposes go beyond being a collection of points on the map. They are in fact a powerful data source that we can use to extract map and road network properties. While the location of road
Abdelmajid Erramaline   +4 more
doaj   +1 more source

Digital Dermatology

open access: yesJDDG: Journal der Deutschen Dermatologischen Gesellschaft, Volume 24, Issue 7, Page e934-e952, July 2026.
SUMMARY Digital transformation is fundamentally reshaping dermatology, creating new opportunities in diagnostics, therapy, and healthcare organization. Large datasets combined with Artificial Intelligence (AI) enable more precise classification and prognosis, particularly through the analysis of clinical and dermoscopic imaging.
Lea Henkel   +17 more
wiley   +1 more source

Implementing Automotive Telematics for Insurance Covers of Fleets

open access: yesDecision Support Systems, 2013
The advantages of Usage-Based Insurance for automotive covers over conventional rating methods have been discussed in literature for over four decades. Notwithstanding their adoption in insurance markets has been slow. This paper seeks to establish the viability of introducing fleet Telematics-Based Insurance by investigating the perceptions of ...
Azzopardi, M., Cortis, Dominic
openaire   +4 more sources

Telematics and Vehicle Safety

open access: yesJournal of Road Safety, 2018
Recent developments in telematics technology provide the opportunity to improve driver behaviour by rewarding good driving. Vehicle insurance companies in Europe and North America have successfully introduced pay-how-you-drive (PHYD) insurance policies ...
Michael Paine
doaj  

Determining Driving Risk Factors from Near-Miss Events in Telematics Data Using Histogram-Based Gradient Boosting Regressors

open access: yesJournal of Theoretical and Applied Electronic Commerce Research
This study introduces a novel method for driving risk assessment based on the analysis of near-miss events captured in telematics data. Near-miss events, which are highly correlated with accidents, are employed as proxies for accident prediction.
Shuai Sun   +3 more
doaj   +1 more source

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