Searched for: subject%3A%22insurance%22
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Kerckhoff, Fin (author)
Emerging technologies like artificial intelligence, big data analytics, blockchain, and the internet of things offer interesting opportunities to automate business processes. With the potential to streamline operations like claims management, underwriting, and customer service, these advancements appear to be especially promising for insurance...
master thesis 2024
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Platzer, Olivier (author)
This thesis evaluates flood insurance solutions for the Netherlands, focusing on the repercussions of primary flood defence failures. Recognizing the amplified need for a solid safety system due to climate change, the study uses a comprehensive approach, including literature review, expert opinion, and numerical modelling, to assess existing...
master thesis 2023
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de Vries, Hylke (author)
Deciding if an online entity is trustworthy can be challenging. How do you decide if you can go into business with an unknown company, offering an enticing product?<br/><br/>This thesis project aimed to enhance consumer trust in Insify, a starting business insurance company operating in a competitive market. The objective was to identify trust...
master thesis 2023
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Kurteva, Anelia (author), Chhetri, Tek Raj (author), Tauqeer, Amar (author), Hilscher, Rainer (author), Fensel, Anna (author), Nagorny, Kevin (author), Correia, Ana (author), Zilverberg, Albert (author), Schstakov, Stefan (author)
The adoption of the General Data Protection Regulation (GDPR) has resulted in a significant shift in how the data of European Union citizens is handled. A variety of data sharing challenges in scenarios such as smart cities have arisen, especially when attempting to semantically represent GDPR legal bases, such as consent, contracts and the...
journal article 2023
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Pantelidis, Theodoros P. (author), Chow, Joseph Y. J. (author), Cats, O. (author)
We propose a new mechanism to design risk-pooling contracts between operators to improve service resilience during disruptions. We formulate a novel two-stage stochastic multicommodity flow model to determine the cost savings of a coalition under different disruption scenarios and solve it using L-shaped method along with sample average...
journal article 2023
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Contreras, Diana (author), Bhamidipati, S.K. (author), Wilkinson, Sean (author)
In Chile, the Metropolitan Region of Santiago (RMS) is exposed to several natural and anthropogenic hazards. This means that not only is there a constant need for healthcare, but also a significant increase whenever its inhabitants are affected by disasters. The RMS problem is not the lack of healthcare infrastructure; rather, the inequality in...
journal article 2023
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Kalra, Siddharth (author)
Dredging is an energy-intensive operation and, due to the nature of the process, there are large and rapid fluctuations in the power requirement. With the signing of the Paris Agreement, implementation of IMO 2020 and expansion of ECAs, the external pressures for the reduction of different emissions(CO2, SO<sub>x</sub>, PM, and/or NO<sub>x</sub>...
master thesis 2020
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Frisardi, Davide (author)
The rise of the so called Insurtechs, leveraging digital technologies to offer superior and personalized offerings, has shaken the insurance industry leading to a new age of innovation and business models. In addition, the importance of a digital customer experience is increasing as the number of sales completed online are rising. Customers...
master thesis 2020
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Rios Insua, David (author), Couce-Vieira, Aitor (author), Rubio, Jose A. (author), Pieters, W. (author), Labunets, K. (author), G. Rasines, Daniel (author)
Risk analysis is an essential methodology for cybersecurity as it allows organizations to deal with cyber threats potentially affecting them, prioritize the defense of their assets, and decide what security controls should be implemented. Many risk analysis methods are present in cybersecurity models, compliance frameworks, and international...
journal article 2019
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Sewnandan, Jhoties (author)
Cyberattacks are a constant threat to organisations worldwide. The uncertainty and difficulty of properly conducting cyber risk management processes do not make it easier for organisations to cope with cyberattacks. Cyber insurance can be a partial solution to the dilemma that organisations face. However, it has not seen the expected growth...
master thesis 2018
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Martinez Bustamante, Inés (author)
Cyber security is getting more attention in the last decades. Unfortunately, the 100% cyber security protection is impractical and impossible, and therefore, we need to consider other cyber risk management strategies. One of them is cyber insurance, but its adoption has been slow in Europe and even more among SMEs. This thesis presents a...
master thesis 2018
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Plaisant van der Wal, Renzo (author)
Machine learning methods are explored in an attempt to achieve better predictive performance than the legacy rule-based fraud detection systems that are currently used to detect fraudulent car insurance claims. There are two key principles that lead the exploration of machine learning techniques and algorithms in this thesis, namely, the...
master thesis 2018
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Hes, Robin (author)
This thesis explores the use of machine learning techniques in an effort to increase insurer competitiveness. It asks whether it is possible to accurately estimate the expected financial loss of a given insurance contract and how this information can be used to gain a competitive edge in the business. To answer these questions, some basic...
master thesis 2018
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Klomp, Laurens (author)
As the insurance industry engages in numerous processes which are characterized by the exchange of data which is updated by multiple parties; a blockchain, as a single source of truth, has the potential to increase efficiency and reduce the complexity of these processes. However, the complexity, uncertainty, transforming potential and barriers...
master thesis 2018
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de Groot, Olivier (author)
Free competition in the insurance markets increases the competitiveness and lowers the premiums. If insurers lower their premiums without having a model that accurately quantifies the expected claim size, they can be in serious trouble. This research aims to accurately model the premiums and quantify the uncertainty involved using historic...
master thesis 2017
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Dubbelboer, J. (author), Nikolic, I. (author), Jenkins, K. (author), Hall, J (author)
Flood risk emerges from the dynamic interaction between natural hazards and human vulnerability. Methods for the quantification of flood risk are well established, but tend to deal with human and economic vulnerability as being static or changing with an exogenously defined trend. In this paper we present an Agent-Based Model (ABM) developed...
journal article 2017
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Bonetti, M. (author), Cirillo, P. (author), Musile Tanzi, P. (author), Trinchero, E. (author)
Starting from an extensive database, pooling 9 years of data from the top three insurance brokers in Italy, and containing 38125 reported claims due to alleged cases of medical malpractice, we use an inhomogeneous Poisson process to model the number of medical malpractice claims in Italy. The intensity of the process is allowed to vary over time...
journal article 2016
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Derikx, S. (author), De Reuver, G.A. (author), Kroesen, M. (author)
Internet-of-things technologies enable service providers such as insurance companies to collect vast amounts of privacy-sensitive data on car drivers. This paper studies whether and how privacy concerns of car owners can be compensated by offering monetary benefits. We study the case of usage based car insurance services for which the insurance...
journal article 2015
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Van der Lee, I.C. (author)
Introduction Virtual Affairs (VA) is a leading FinTech company that exists to (re-)establish the relationship between financials and their customers. VA believes that the only way to stay relevant in today’s society is to start and end with the needs of users, and strive to continuously innovate a company’s offering around their users needs and...
master thesis 2015
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Dubbelboer, J.J. (author)
In the winter of 2013-2014 the south of the UK (London, Oxford) experienced the heaviest rainfall since 1767. Evidence linking these kind of flood events to climate change has put pressure on the UK flood insurance system that is incapable of properly dealing with this kind of flood events. A proposed re-insurance system, FloodRe, is suggested...
master thesis 2015
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