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2024 | OriginalPaper | Buchkapitel

Insurance 4.0: Smart Insurance Technologies and Challenges Ahead

verfasst von : Tamanna Kewal, Charu Saxena

Erschienen in: Proceedings of Third International Conference on Computing and Communication Networks

Verlag: Springer Nature Singapore

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Abstract

The insurance value chain is being rapidly challenged by insurers as they integrate with technology. Quick customer service, convenience, and customization are three of InsurTech key selling points. The following are some of the most active and well-known InsurTech-related topics covered in this article: Mobile Applications, Smart Insurance Contracts, Blockchain/Distributed Ledger Technology, AI, IoT, Robot Advisors are all examples of digital insurance solutions. Based on a careful evaluation of the literature, this study provides cogent ideas under the umbrella of “InsurTech.” The background of InsurTech and its numerous subfields are reviewed in this paper. Using innovative digital platforms in Insurance 4.0 can result in several advantages like helping with everyday commercial and administrative responsibilities, strategic decision-making, and process improvement and controlling. Blockchain, smart contracts, robot advisors, and mobile applications can all help to smooth the transition to Insurance 4.0. This paper demonstrates that, in order to execute Insurance 4.0, insurance procedures must be significantly digitized. Traditional work cultures, mindsets, methods, and monetary costs may provide problems in this regard.

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Yan, T.C., Schulte, P., Lee Kuo Chuen, D.: InsurTech and FinTech: Banking and Insurance Enablement. Elsevier Inc. (2018)

Nicoletti, B.: Insurance 4.0 benefits and challenges of digital technology (2021)

Łyskawa, K., Kędra, A., Klapkiv, L., Klapkiv, J.: Digitalization in insurance companies. In: International Scientific Conference “Contemporary Issues in Business, Management and Economics Engineering, May, pp. 9–10 (2019). https://doi.org/10.3846/cibmee.2019.086

Nam, S.O.: How much are insurance consumers willing to pay for blockchain and smart contracts? A contingent valuation study. Sustainability, 10(11) (2018). https://doi.org/10.3390/su10114332

Heinonen, K., Strandvik, T.: Reframing service innovation: COVID-19 as a catalyst for imposed service innovation. J. Serv. Manag. 32(1), 101–112 (2021). https://doi.org/10.1108/JOSM-05-2020-0161CrossRef

Lanfranchi, D., Grassi, L.: Examining insurance companies’ use of technology for innovation. Geneva Pap. Risk Insur. Issues Pract. (2021). https://doi.org/10.1057/s41288-021-00258-y

Volosovych, S., Zelenitsa, I., Kondratenko, D., Szymla, W., Mamchur, R.: Transformation of insurance technologies in the context of a pandemic. Insur. Mark. Co. 12(1), 1–13 (2021). https://doi.org/10.21511/ins.12(1).2021.01CrossRef

Stoeckli, E., Dremel, C., Uebernickel, F.: Exploring characteristics and transformational capabilities of InsurTech innovations to understand insurance value creation in a digital world. Electron. Mark. 28(3), 287–305 (2018)CrossRef

McFall, L.: Personalizing solidarity? The role of self-tracking in health insurance pricing. Econ. Soc. 48(1), 52–76 (2019). https://doi.org/10.1080/03085147.2019.1570707CrossRef

10.

Dijksterhuis, C., Lewis-Evans, B., Jelijs, B., Tucha, O., de Waard, D., Brookhuis, K.: In-car usage-based insurance feedback strategies. A comparative driving simulator study. Ergonomics 59(9), 1158–1170 (2016). https://doi.org/10.1080/00140139.2015.1127428CrossRef

11.

Wargin, J.: 11 insurance technology trends for 2021 (2020). https://www.duckcreek.com/blog/insurance-technology-trends/. Accessed 21 Jan 2022

12.

Lynn, T., Mooney, J.G., Rosati, P., Cummins, M.: Disrupting finance: fintech and strategy in the 21st century (2018)

13.

Barry, L., Charpentier, A.: Personalization as a promise: can big data change the practice of insurance? Big Data Soc. 7(1) (2020). https://doi.org/10.1177/2053951720935143

14.

De Mauro, A., Greco, M., Grimaldi, M.: A formal definition of big data based on its essential features. Libr. Rev. 65(3), 122–135 (2016). https://doi.org/10.1108/LR-06-2015-0061/FULL/HTMLCrossRef

15.

Ravi, V., Kamaruddin, S.: Big data analytics enabled smart financial services: opportunities and challenges. In: International Conference on Data Science and Big Data Analysis, pp. 15–39. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-72413-3_2

16.

Owadally, I., Zhou, F., Otunba, R., Lin, J., Wright, D.: Time series data mining with an application to the measurement of underwriting cycles. North Am. Actuar. J. 23(3), 469–484 (2019). https://doi.org/10.1080/10920277.2019.1570468MathSciNetCrossRef

17.

Cortis, D., Debattista, J., Debono, J., Farrell, M.: Disrupting Finance, pp. 71–84

18.

Dahiya, M., Sharma, S., Grima, S.: Big data analytics application in the indian insurance sector. Big Data Anal. Insur. Mark., 145–164 (2022). https://doi.org/10.1108/978-1-80262-637-720221008/FULL/HTML

19.

Pentland, A.: Social physics: how good ideas spread-the lessons from a new science. Penguin (2014). https://doi.org/10.1007/s11138-014-0276-6CrossRef

20.

Pusala, M.K., Amini Salehi, M., Katukuri, J.R., Xie, Y., Raghavan, V.: Massive data analysis: tasks, tools, applications, and challenges. Big Data Anal. Methods Appl., 11–40 (2016). https://doi.org/10.1007/978-81-322-3628-3_2/COVER

21.

Sivarajah, U., Kamal, M.M., Irani, Z., Weerakkody, V.: Critical analysis of big data challenges and analytical methods. J. Bus. Res. 70, 263–286 (2017). Accessed 17 Dec. 2022. https://www.sciencedirect.com/science/article/pii/S014829631630488X

22.

EIOPA: Big data analytics in motor and health insurance: a thematic review (2019)

23.

BaFin: Big data meets artificial intelligence: challenges and implications for the supervision and regulation of financial services (2018). https://www.bafin.de/SharedDocs/Downloads/EN/dl_bdai_studie_en.html

24.

Gilmore, J.N.: Everywear: the quantified self and wearable fitness technologies, 18(11), 2524–2539 (2015). https://doi.org/10.1177/1461444815588768

25.

Lupton, D.: The diverse domains of quantified selves: self-tracking modes and dataveillance. Econ. Soc. 45(1), 101–122 (2016). https://doi.org/10.1080/03085147.2016.1143726MathSciNetCrossRef

26.

Azzopardi, M., Cortis, D.: Implementing automotive telematics for fleet insurance. J. Technol. Manag. Innov. 8(4), 9–10 (2013). https://doi.org/10.4067/S0718-27242013000500005CrossRef

27.

Eling, M., Lehmann, M.: The impact of digitalization on the insurance value chain and the insurability of risks. Geneva Pap. Risk Insur. Pract. 43(3), 359–396 (2018)CrossRef

28.

Kelley, K.H., Fontanetta, L.M., Heintzman, M., Pereira, N.: Artificial intelligence: implications for social inflation and insurance. Risk Manag. Insur. Rev. 21(3), 373–387 (2018). https://doi.org/10.1111/RMIR.12111CrossRef

29.

Eckert, C., Osterrieder, K.: How digitalization affects insurance companies: overview and use cases of digital technologies. Zeitschrift für die gesamte Versicherungswiss. 109(5), 333–360 (2020)CrossRef

30.

Eling, M., Lehmann, M.: The impact of digitalization on the insurance value chain and the insurability of risks. Geneva Pap. Risk Insur. Issues Pract. 43(3), 359–396 (2018). https://doi.org/10.1057/s41288-017-0073-0CrossRef

31.

Riikkinen, M., Saarijärvi, H., Sarlin, P., Lähteenmäki, I.: Using artificial intelligence to create value in insurance. Int. J. Bank Mark. 36(6), 1145–1168 (2018). https://doi.org/10.1108/IJBM-01-2017-0015/FULL/HTMLCrossRef

32.

Davidson, S., De Filippi, P., Potts, J.: Blockchains and the economic institutions of capitalism. J. Inst. Econ. 14(4):639–658 (2018). https://doi.org/10.1017/S1744137417000200

33.

Shah, T., Shah, M.: Blockchain technology: a way ahead in insurance sector. Sambodhi 43(4), 6–8 (2020). https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3803773

34.

Marano, P., Li, S.: Regulating robo-advisors in insurance distribution: lessons from the insurance distribution directive and the AI act. Risks 11(1), 1–13 (2023). https://doi.org/10.3390/risks11010012CrossRef

35.

Cappiello, A.: Digital disruption and insurtech start-ups: risks and challenges. In: Technology and the Insurance Industry, pp. 29–50 (2018)

36.

Kavuri, A.S., Milne, A.: FinTech and the future of financial services: What are the research gaps? (2019)

37.

Gomber, P., Koch, J.A., Siering, M.: Digital finance and FinTech: current research and future research directions. J. Bus. Econ. 87(5), 537–580 (2017). https://doi.org/10.1007/s11573-017-0852-xCrossRef

Titel: Insurance 4.0: Smart Insurance Technologies and Challenges Ahead
verfasst von: Tamanna Kewal
Charu Saxena
Verlag: Springer Nature Singapore
Buch: Proceedings of Third International Conference on Computing and Communication Networks
Print ISBN: 978-981-9708-91-8

Electronic ISBN: 978-981-9708-92-5

Copyright-Jahr: 2024
DOI: https://doi.org/10.1007/978-981-97-0892-5_15

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