An Acceptance Approach for Novel Technologies in Car Insurance
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Martin Eling & Mirko Kraft, 2020. "The impact of telematics on the insurability of risks," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 21(2), pages 77-109, April.
- Desyllas, Panos & Sako, Mari, 2013. "Profiting from business model innovation: Evidence from Pay-As-You-Drive auto insurance," Research Policy, Elsevier, vol. 42(1), pages 101-116.
- Radenković, Miloš & Bogdanović, Zorica & Despotović-Zrakić, Marijana & Labus, Aleksandra & Lazarević, Saša, 2020. "Assessing consumer readiness for participation in IoT-based demand response business models," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
- Denuit, Michel & Guillen, Montserrat & Trufin, Julien, 2019. "Multivariate credibility modelling for usage-based motor insurance pricing with behavioural data," Annals of Actuarial Science, Cambridge University Press, vol. 13(2), pages 378-399, September.
- Tamara Dinev & Paul Hart, 2006. "An Extended Privacy Calculus Model for E-Commerce Transactions," Information Systems Research, INFORMS, vol. 17(1), pages 61-80, March.
- Francisco Zabala Aguayo & Beata Ślusarczyk, 2020. "Risks of Banking Services’ Digitalization: The Practice of Diversification and Sustainable Development Goals," Sustainability, MDPI, vol. 12(10), pages 1-10, May.
- Denuit, Michel & Guillen, Montserrat & Trufin, Julien, 2019. "Multivariate credibility modelling for usage-based motor insurance pricing with behavioural data," LIDAM Reprints ISBA 2019039, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Martin Eling & Martin Lehmann, 2018. "The Impact of Digitalization on the Insurance Value Chain and the Insurability of Risks," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 43(3), pages 359-396, July.
- Jessica Pesantez-Narvaez & Montserrat Guillen & Manuela Alcañiz, 2019. "Predicting Motor Insurance Claims Using Telematics Data—XGBoost versus Logistic Regression," Risks, MDPI, vol. 7(2), pages 1-16, June.
- Gaganis, Chrysovalantis & Hasan, Iftekhar & Papadimitri, Panagiota & Tasiou, Menelaos, 2019. "National culture and risk-taking: Evidence from the insurance industry," Journal of Business Research, Elsevier, vol. 97(C), pages 104-116.
- Sajjakaj Jomnonkwao & Duangdao Watthanaklang & Onanong Sangphong & Thanapong Champahom & Napat Laddawan & Savalee Uttra & Vatanavongs Ratanavaraha, 2020. "A Comparison of Motorcycle Helmet Wearing Intention and Behavior between Urban and Rural Areas," Sustainability, MDPI, vol. 12(20), pages 1-16, October.
- Imke Reimers & Benjamin R. Shiller, 2019. "The Impacts of Telematics on Competition and Consumer Behavior in Insurance," Journal of Law and Economics, University of Chicago Press, vol. 62(4), pages 613-632.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Miloš Milosavljević & Milan Okanović & Slavica Cicvarić Kostić & Marija Jovanović & Milenko Radonić, 2023. "COVID-19 and Behavioral Factors of e-Payment Use: Evidence from Serbia," Sustainability, MDPI, vol. 15(4), pages 1-13, February.
- Alfiero, Simona & Battisti, Enrico & Ηadjielias, Elias, 2022. "Black box technology, usage-based insurance, and prediction of purchase behavior: Evidence from the auto insurance sector," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
- Salvador Cruz Rambaud & Joaquín López Pascual, 2023. "Insurtech, Proptech, and Fintech Environment: Sustainability, Global Trends and Opportunities," Sustainability, MDPI, vol. 15(12), pages 1-3, June.
- Jorge Andrés-Sánchez & Laura González-Vila Puchades & Mario Arias-Oliva, 2023. "Factors influencing policyholders' acceptance of life settlements: a technology acceptance model," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 48(4), pages 941-967, October.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Alfiero, Simona & Battisti, Enrico & Ηadjielias, Elias, 2022. "Black box technology, usage-based insurance, and prediction of purchase behavior: Evidence from the auto insurance sector," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
- Montserrat Guillen & Jens Perch Nielsen & Ana M. Pérez‐Marín, 2021. "Near‐miss telematics in motor insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 88(3), pages 569-589, September.
- Dhiti Osatakul & Xueyuan Wu, 2021. "Discrete-Time Risk Models with Claim Correlated Premiums in a Markovian Environment," Risks, MDPI, vol. 9(1), pages 1-23, January.
- Chen, Zezhun & Dassios, Angelos & Tzougas, George, 2022. "EM estimation for the bivariate mixed exponential regression model," LSE Research Online Documents on Economics 115132, London School of Economics and Political Science, LSE Library.
- Tzougas, George & Makariou, Despoina, 2022. "The multivariate Poisson-Generalized Inverse Gaussian claim count regression model with varying dispersion and shape parameters," LSE Research Online Documents on Economics 117197, London School of Economics and Political Science, LSE Library.
- Alicja Wolny-Dominiak & Tomasz Żądło, 2021. "The Measures of Accuracy of Claim Frequency Credibility Predictor," Sustainability, MDPI, vol. 13(21), pages 1-13, October.
- Michel Denuit & Yang Lu, 2021. "Wishart‐gamma random effects models with applications to nonlife insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 88(2), pages 443-481, June.
- Chen, Zezhun Chen & Dassios, Angelos & Tzougas, George, 2024. "EM estimation for bivariate mixed poisson INAR(1) claim count regression models with correlated random effects," LSE Research Online Documents on Economics 118826, London School of Economics and Political Science, LSE Library.
- Simon Fritzsch & Philipp Scharner & Gregor Weiß, 2021. "Estimating the relation between digitalization and the market value of insurers," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 88(3), pages 529-567, September.
- Zezhun Chen & Angelos Dassios & George Tzougas, 2023. "Multivariate mixed Poisson Generalized Inverse Gaussian INAR(1) regression," Computational Statistics, Springer, vol. 38(2), pages 955-977, June.
- Zezhun Chen & Angelos Dassios & George Tzougas, 2022. "EM Estimation for the Bivariate Mixed Exponential Regression Model," Risks, MDPI, vol. 10(5), pages 1-13, May.
- Lukas Stricker & Carlo Pugnetti & Joël Wagner & Angela Zeier Röschmann, 2022. "Green Insurance: A Roadmap for Executive Management," JRFM, MDPI, vol. 15(5), pages 1-19, May.
- Willem Standaert & Steve Muylle, 2022. "Framework for open insurance strategy: insights from a European study," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(3), pages 643-668, July.
- Alexander Bohnert & Albrecht Fritzsche & Shirley Gregor, 2019. "Digital agendas in the insurance industry: the importance of comprehensive approaches†," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 44(1), pages 1-19, January.
- Albrecht Fritzsche & Alexander Bohnert, 2022. "Implications of bundled offerings for business development and competitive strategy in digital insurance," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(4), pages 817-834, October.
- Simon, Pierre-Alexandre & Trufin, Julien & Denuit, Michel, 2023. "Bivariate Poisson credibility model and bonus-malus scale for claim and near-claim events," LIDAM Discussion Papers ISBA 2023014, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Gao, Guangyuan & Wüthrich, Mario V. & Yang, Hanfang, 2019. "Evaluation of driving risk at different speeds," Insurance: Mathematics and Economics, Elsevier, vol. 88(C), pages 108-119.
- Jiamin Yu, 2022. "Will claim history become a deprecated rating factor? An optimal design method for the real-time road risk model," Papers 2204.11585, arXiv.org.
- Jean-Philippe Boucher & Roxane Turcotte, 2020. "A Longitudinal Analysis of the Impact of Distance Driven on the Probability of Car Accidents," Risks, MDPI, vol. 8(3), pages 1-19, September.
- Tzougas, George & di Cerchiara, Alice Pignatelli, 2021. "Bivariate mixed Poisson regression models with varying dispersion," LSE Research Online Documents on Economics 114327, London School of Economics and Political Science, LSE Library.
More about this item
Keywords
car insurance; insurance technologies; Internet of Vehicles; telematics; technology acceptance; sustainable insurance;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:12:y:2020:i:24:p:10331-:d:459987. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.