Car insurance fraud: The role of vehicle repair workshops

<p>The article considers the current state of insurance market in the Kemerovo region, as well as trends affecting the market. In the crisis year of 2015, the insurance market of Russia and Kemerovo region was developing due to the growth of compulsory insurance and life insurance, whereas classical insurance saw a decline. Comparative analysis of insurance market in Russia showed a preferential development of optional medical insurance and compulsory third party car insurance in the regional insurance market. The article features an analysis of the structure of the insurance portfolio of the regional insurance companies, the place and the role of the regional insurance companies in the insurance market of the Kemerovo region. Regional insurance organizations specialize in voluntary health insurance, which reflects the specifics of the regional insurance risk, but its overall development is not steady, without regard to regional peculiarities. Conclusions are drawn about the lack of a regional perspective, the need for the development of regional insurance, since regional insurance organizations are able to take into account the specifics of the site and agree to cover relevant risks. An example is the compulsory insurance of civil liability of owners of hazardous production facilities, where a significant role belongs to the regional insurance organizations.</p>

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Automotive Digital Earth: Big Data, Insurance

Geocontext ◽

10.30987/2686-8326-2020-27-32 ◽

2020 ◽

Vol 8 (1) ◽

pp. 27-32

Author(s):

Nikita Nosov

Keyword(s):

Big Data ◽

Legal Regulation ◽

Careful Study ◽

The Rule Of Law ◽

Digital Earth ◽

Data Usage ◽

Car Insurance ◽

Self Driving Cars ◽

Big Data Technology

The article is devoted to the implementation of Big Data technology in the auto industry and insurance. The article substantiates the need to use this technology in the context of rapidly growing volumes of information, describes the role of big data in modern life and predicts its use in the concept of the future development of the Digital Earth. The current level of Big Data usage in the automotive sector in Russia and around the world is considered. The §author describes the main areas of application of Big Data, such as car insurance using telematics devices, navigation, improving the production process of cars in terms of identifying and eliminating system flaws that are detected during operation, as well as about the growing popularity and at the same time causing heated controversy of the technology of unmanned driving. Statistical data on the number of self-driving cars in countries, the level of their introduction into everyday life, and people's readiness for a new stage of transport development are presented. Separately, the author raises the question of the legal regulation of Big Data, which at this stage is in its infancy and requires careful study, identifies current legal problems that arise in the process of implementing this technology. As a solution to the problem, a number of measures are proposed to fill the existing gap and establish compliance with the rule of law and common principles for the use and protection of Big data.

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Automotive Digital Earth: Big Data, Insurance

Geocontext ◽

10.30987/2686-8326-2021-27-32 ◽

2021 ◽

pp. 27-32

Author(s):

Nikita Nosov

Keyword(s):

Big Data ◽

Legal Regulation ◽

Careful Study ◽

The Rule Of Law ◽

Digital Earth ◽

Data Usage ◽

Car Insurance ◽

Self Driving Cars ◽

Big Data Technology

The article is devoted to the implementation of Big Data technology in the auto industry and insurance. The article substantiates the need to use this technology in the context of rapidly growing volumes of information, describes the role of big data in modern life and predicts its use in the concept of the future development of the Digital Earth. The current level of Big Data usage in the automotive sector in Russia and around the world is considered. The §author describes the main areas of application of Big Data, such as car insurance using telematics devices, navigation, improving the production process of cars in terms of identifying and eliminating system flaws that are detected during operation, as well as about the growing popularity and at the same time causing heated controversy of the technology of unmanned driving. Statistical data on the number of self-driving cars in countries, the level of their introduction into everyday life, and people's readiness for a new stage of transport development are presented. Separately, the author raises the question of the legal regulation of Big Data, which at this stage is in its infancy and requires careful study, identifies current legal problems that arise in the process of implementing this technology. As a solution to the problem, a number of measures are proposed to fill the existing gap and establish compliance with the rule of law and common principles for the use and protection of Big data.

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Integrated Platform for Identification and Verification of Insurance Crime as a Modern Tool to Combat Insurance Fraud – Legal Conditions

Prawo Asekuracyjne ◽

10.5604/01.3001.0013.6743 ◽

2019 ◽

Vol 4 (101) ◽

pp. 70-83

Author(s):

Wojciech Majewski

Keyword(s):

Legal Issues ◽

Insurance Fraud ◽

Leading Role ◽

Integrated Platform ◽

Crime Investigation ◽

Motor Insurance ◽

Insurance Data ◽

Modern Tool

This article aims at outlining the role of the Insurance Guarantee Fund in preventing the phenomena related to insurance crime by means of the Integrated Platform for Identification and Verification of Insurance Crime.It also discusses the legal possibilities and limitations of sharing and exchanging data related to the operation of the anti-fraud platform. Being the only entity entitled to process motor insurance data centrally, the Fund plays a leading role in eliminating fraud in this field. At the same time, the article provides an analysis of legal issues related to the Fund's rights in the area of identification and verification of insurance fraud, and explores potential opportunities to improve the efficiency of insurance crime investigation resulting from the implementation of possible changes in law.

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Consolidated Tree Classifier Learning in a Car Insurance Fraud Detection Domain with Class Imbalance

Pattern Recognition and Data Mining - Lecture Notes in Computer Science ◽

10.1007/11551188_41 ◽

2005 ◽

pp. 381-389 ◽

Cited By ~ 10

Author(s):

Jesús M. Pérez ◽

Javier Muguerza ◽

Olatz Arbelaitz ◽

Ibai Gurrutxaga ◽

José I. Martín

Keyword(s):

Class Imbalance ◽

Fraud Detection ◽

Insurance Fraud ◽

Tree Classifier ◽

Car Insurance ◽

Classifier Learning

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Communication relational outcomes in the insurance industry

Asia Pacific Journal of Marketing and Logistics ◽

10.1108/apjml-10-2017-0235 ◽

2018 ◽

Vol 30 (5) ◽

pp. 1294-1318 ◽

Cited By ~ 3

Author(s):

Anabela Maria Bello de Figueiredo Marcos ◽

Arnaldo Fernandes de Matos Coelho

Keyword(s):

Structural Equation ◽

Insurance Industry ◽

Insurance Companies ◽

Content Type ◽

Mediating Role ◽

Relational Commitment ◽

Relational Outcomes ◽

Car Insurance ◽

The Relationship

PurposeThe purpose of this paper is to understand the role that communication plays in the insurance industry, as well as its relational outcomes.Design/methodology/approachThis investigation proposes a theoretical model tested using structural equation modelling. A questionnaire survey was developed to explore the relationships among communication, reputation, trust, commitment, loyalty and word-of-mouth (WOM). For this study, 744 valid questionnaires were collected from a sample of Portuguese car insurance holders.FindingsThe results show that communication directly influences reputation, trust and commitment. Communication also indirectly influences loyalty through reputation, trust, and commitment and communication indirectly influences WOM via trust and commitment. In turn, reputation influences trust and trust impact on relational commitment. Finally, loyalty influences WOM.Originality/valueThis investigation examines the mediating role of reputation, trust and relational commitment in the relationship among communication and loyalty and WOM, in a relational perspective. It fills a gap in the literature by exploring the importance of communication in the insurance industry. Thus, this study will be useful to decision makers in the insurance industry seeking to improve their insurance holders–insurance companies relationships.

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