Ezmolda Barolli – University of Tirana, Faculty of Economics, Rruga Arben Broci 1, Tiranรซ 1001, Albania
Muhamet Zeneli – University of Tirana, Faculty of Economics, Rruga Arben Broci 1, Tiranรซ 1001, Albania
Keywords:
Automotive;
Insurance;
Auto insurance;
Blockchain;
Artificial intelligence;
Vehicle lifecycle;
Albania;
Data analysis
Abstract: This paper aims to explore the automotive and auto insurance industries in Albania, pointing out the presence of such challenges as sysยญtem interoperability, vehicle repair traceability, and risk analysis in insurยญance claim processing. Identifying the fragmented characteristics of these sectors is made possible through research techniques, including interviews with stakeholders and analysis of available open data. It also examines how various systems used by stakeholders are disconnected, vehiclesโ serยญvice history associated with VINs being rare, and risks from odometer fraud and rolling wrecks (re-entering damaged cars into the market). This paper further explores the auto insurance landscape by highlighting the non-exยญistence of a bonus-malus system despite legal provisions, lack of data opยญerability among insurers, and traditional labor-intensive claims settlement methods that intensify fraud risks. The paper discusses how blockchain and AI technologies can address these issues, drawing insights from previous reยญsearch on their application in this sector.
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8th International Scientific Conference – EMAN 2024 – Economics and Management: How to Cope With Disrupted Times, Rome, Italy, March 21, 2024, CONFERENCE PROCEEDINGS, published by: Association of Economists and Managers of the Balkans, Belgrade, Serbia; ISBN 978-86-80194-83-7, ISSN 2683-4510, DOI: https://doi.org/10.31410/EMAN.2024
Creative Commons Nonย Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission.ย
REFERENCES
AFSA. (2024). Register of Licensees: Insurance Market, Claim Adjusters. ASFA Albania 2024. Retrieved February 10, 2024 https://amf.gov.al/ts_vleresues.asp
AFSA. (2024). Register of Licensees: Insurance Market, Insurance Companies. ASFA Albania 2024. Retrieved February 10, 2024 https://amf.gov.al/ts_shoqeri_sigurimi.asp
Alladi, T., Chamola, V., Parizi, R. M., & Choo, K.-K. R. (2019). Blockchain Applications for Industry 4.0 and Industrial IoT: A Review. IEEE Access, 7, 176935โ176951. https://doi.org/10.1109/access.2019.2956748
Banik, A. D., Chakraborty, S., & Majumder, A. (2023). Vehicle Information Management Sysยญtem using Hyperledger Fabric. In Lecture notes in networks and systems (pp. 11โ29). https://doi.org/10.1007/978981-99-6586-1_2
Barolli, E., & Zeneli, M. (2022). A Proposed Blockchain-Based Solution for a Data-Driven Vehicle Lifecycle Management. In V. Bevanda (Ed.), International Scientific Conference ITEMA 2022: Vol 6. Conference Proceedings (pp. 9-15). Association of Economists and Managers of the Balkans. https://doi.org/10.31410/ITEMA.2022.9
Dhieb, N., Ghazzai, H., Besbes, H., & Massoud, Y. (2020). A Secure AI-Driven Architecture for Automated Insurance Systems: Fraud Detection and Risk Measurement. IEEE Access, 8, 58546โ58558. https://doi.org/10.1109/access.2020.2983300
Eling, M., Nuessle, D., & Staubli, J. (2021). The impact of artificial intelligence along the insurยญance value chain and on the insurability of risks. The Geneva Papers on Risk and Insurยญance – Issues and Practice, 47, 205โ241. https://doi.org/10.1057/s41288-020-00201-7
Kapadiya, K., Patel, U., Gupta, R., Alshehri, M. D., Tanwar, S., Sharma, G., & Bokoro, P. N. (2022). Blockchain and AI-Empowered Healthcare Insurance Fraud Detection: an Analยญysis, Architecture, and Future Prospects. IEEE Access, 10, 79606โ79627. https://doi.org/10.1109/access.2022.3194569
Li, J., Cheng, H., Guo, H., & Qiu, S. (2018). Survey on Artificial Intelligence for Vehicles. Autoยญmotive Innovation (Online), 1(1), 2โ14. https://doi.org/10.1007/s42154-018-0009-9
Lin, F. Y., Lin, W., Tai, K., Hsiao, C., & Yang, H. (2021). A Usage-Based insurance poliยญcy bidding and support platform using internet of vehicles infrastructure and blockยญchain technology. In Lecture notes in networks and systems (pp. 240โ249). https://doi.org/10.1007/978-3-030-75075-6_19ย
Lin, W., Lin, F. Y., Wu, T., & Tai, K. (2020). An On-Board equipment and Blockchain-Based auยญtomobile insurance and maintenance platform. In Lecture notes in networks and systems (Online) (pp. 223โ232). https://doi.org/10.1007/978-3-030-61108-8_22ย
Mateen, A., Khalid, A., Lee, S., & Nam, S. Y. (2023). Challenges, issues, and recommendations for Blockchain- and Cloud-Based Automotive Insurance Systems. Applied Sciences, 13(6), 3561. https://doi.org/10.3390/app13063561ย
Open Data DPSHTRR. (2024). www.dpshtrr.al. Retrieved February 8, 2024, from https://www.dpshtrr.al/open-data-dpshtrr-englishย ย
Republic of Albania Law No. 32/2021 on compulsory insurance in the transport sector. (2021). Retrieved from https://amf.gov.al/readLaw.asp?id=20390ย
Saddi, V. R., Gnanapa, B., Boddu, S., & Logeshwaran, J. (2023). Fighting Insurance Fraud with Hybrid AI/ML Models: Discuss the Potential for Combining Approaches for Improved Inยญsurance Fraud Detection. 4th International Conference on Communication, Computing and Industry 6.0 (C216). https://doi.org/10.1109/c2i659362.2023.10431155ย
Saideeep, H. a. a. G. (2023). From Sci-Fi to Reality: The impact of AI on automotive manufacยญturing and design. Tuijin Jishu, 44(2). https://doi.org/10.52783/tjjpt.v44.i4.134
Selim, T. H., & Gad-El-Rab, M. (2024). Artificial Intelligence and the Global Automotive Industry. Artificial Intelligence for Sustainability, 31-53. https://doi.org/10.1007/978-3-031-49979-1_3ย
Suhaib Kamran, S., Haleem, A., Bahl, S., Javaid, M., Prakash, C., & Budhhi, D. (2022). Artifiยญcial intelligence and advanced materials in automotive industry: Potential applications and perspectives. Materials Today: Proceedings, 62. https://doi.org/10.1016/j.matpr.2022.04.727ย
Syed, T. A., Siddique, M. S., Nadeem, A., Alzahrani, A., Jan, S., & Khattak, M. a. K. (2020). A novel Blockchain-Based Framework for vehicle Life Cycle Tracking: an End-to-End Soluยญtion. IEEE Access, 8, 111042โ111063. https://doi.org/10.1109/access.2020.3002170ย
Xiao, L., Cheng, Y., Deng, H., Xu, S., & Xiao, W. (2019). Insurance Block: an insurance data seยญcurity transaction authentication scheme suitable for blockchain environment. In Lecture Notes in Computer Science (pp. 120โ129). https://doi.org/10.1007/978-3-030-34083-4_12ย
Zafar, S., Hassan, S. F. U., Alsharef, M., Alahmadi, A. A., & Ullah, N. (2022). Implementation of a distributed framework for permissioned Blockchain-Based secure automotive supply chain management. Sensors (Basel), 22(19), 7367. https://doi.org/10.3390/s22197367ย
Zeneli, M., & Barolli, E. (2023). Blockchain for Business: An Overview and Benchmarking Analysis of Key Technologies. In V. Bevanda (Ed.), International Scientific Conference ITEMA 2023: Vol 7. Selected Papers (p. 1-9). Association of Economists and Managers of the Balkans. https://doi.org/10.31410/ITEMA.S.P.2023.1ย
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