Application of customisation and personalisation in digital solutions of the non-life insurance market: a case study of Lithuanian, Latvian and Estonian e-sales platforms

• Autorzy: Baranauskas Gedas

Identyfikatory

DOI

10.2478/emj-2021-0013

• Języki publikacji: EN

Abstrakty

EN

The Baltic non-life insurance market has not only continued recording a dynamic premium growth in the past three years but also has shown a significant transition to digital technologies and solutions. Here, the development of customised insurance products and systems, assessment of claims, and creation of personalised customer experience can be considered best practices in the application of theoretical concepts and, accordingly, require continuous studies from a scientific point of view. Therefore, the following research aims to present an as-is status of existing solutions of digital insurance platforms in Baltic countries and to clarify their compatibility with customisation, personalisation, and value co-creation features at the practical product and functional levels. Accordingly, a case-study method following a combination of a descriptive embedded single-case design and the state-of-the-art method was applied in the analysis of the non-life insurance market, its e-channel environment, and platforms of three Baltic countries — Lithuania, Latvia, and Estonia. The multidimensional assessment matrix has been designed to present the results of the case study analysis on the practical product and functional levels. Research results refer to an assumption that ideas and methods of Mass Customisation and Mass Personalisation concepts, as well as their combination with digital solutions, penetrate the analysed part of the non-life insurance market in the Baltic countries and result in a mutually useful outcome for insurance companies and end-users. The paper contributes to further theoretical investigation of digitalisation and digital transformation of the non-life insurance market in the Baltic countries, as well as the development of practical knowledge in combined management and IT solutions application.

Słowa kluczowe

EN

mass customisation; mass personalisation; digitalisation; co-creation; Baltic insurance market

PL

masowa kastomizacja; masowa personalizacja; cyfryzacja; współtworzenie; bałtycki rynek ubezpieczeń

• Wydawca: Oficyna Wydawnicza Politechniki Białostockiej
• Czasopismo: Engineering Management in Production and Services
• Rocznik: 2021
• Tom: Vol. 13, no. 2
• Strony: 68--82
• Opis fizyczny: Bibliogr. 68 poz., tab., wykr.

Twórcy

autor

Baranauskas Gedas

• Mykolas Romeris University, Lithuania

• https://orcid.org/0000-0002-8980-8203

Bibliografia

• Albrecher, H., Bommier, A., Filipović, D., Koch-Medina, P., Loisel, S., & Schmeiser, H. (2019). Insurance: Models, Digitalization, and Data Science. SSRN Electronic Journal, 19-26, 1-3. doi: 10.2139/ssrn.3382125
• Anišić, Z., Freund, R., & Suzić, N. (2013). Mass customization and personalization in southeast Europe. Vienna: DAAAM International. doi: 10.2507/daaam.scibook.2013.20
• Anshari, M., Almunawar, M. N., Lim, S. A., & Al-Mudimigh, A. (2019). Customer relationship management and big data enabled: Personalization & customization of services. Applied Computing and Informatics, 15, 94- 101. doi: 10.1016/j.aci.2018.05.004
• Baranauskas, G. (2020). Digitalization Impact on Transformations of Mass Customization Concept: Conceptual Modelling of Online Customization Frameworks. Marketing and Management of Innovations, 3, 120- 132. doi: 10.21272/mmi.2020.3-09
• Baranauskas G, Raišienė AG, Korsakienė R. (2020). Mapping the Scientific Research on Mass Customization Domain: A Critical Review and Bibliometric Analysis. Journal of Risk and Financial Management 13(9), 2-20. doi: https://doi.org/10.3390/jrfm13090220
• Baranauskas,G. & Raišienė, A.G. (2021). Expert-based evaluation of digitalization and Mass Customization in the Baltic non-life insurance online platforms. Journal of Eastern European and Central Asian Research, 8(2), 184-201. doi: https://doi.org/10.15549/jeecar.v8i2.644
• Baumann, M. (2020). How Digitalization Changes the Traditional Business of Insurance Companies. Online Conference Digital Ecosystem of Economy, Russian Federation: Southern Federal University Rostov-on-Don, , 1-6.
• Bohnert, A., Fritzsche, A., & Gregor, S. (2019) Digital agendas in the insurance industry: the importance of comprehensive approaches. Geneva Papers on Risk and Insurance - Issues and Practice, 44, 1-19. doi: 10.1057/s41288-018-0109-0
• BTA Baltic Insurance Company AAS. (2018). Annual report. For the year ended 31 December 2017. Retrieved from https://www.bta.lt/userfiles/files/btagada-gramata-2017-EN-web-m.pdf
• BTA Baltic Insurance Company AAS. (2019). Annual report. For the year ended 31 December 2018. Retrieved from https://www.bta.lt/userfiles/files/btagada-gramata-2018-Saturs-EN-v7-web-m.pdf
• Chen, D. Q., Preston, D. S., & Swink, M. (2015). How the Use of Big Data Analytics Affects Value Creation in Supply Chain Management. Journal of Management Information Systems, 32(4), 4-14. doi: 10.1080/07421222.2015.1138364
• Chromčáková, A., Starzyczná, H., & Stoklasa, M. (2017). The level of selected CRM areas in small and medium sized enterprises in Czech Republic. Forum Scientiae Oeconomia, 5(4), 59-70. doi: 10.23762/FSO_VOL- 5NO4_17_5
• Dimitris, M., Ekaterini, V., & Zogopoulos, V. (2018). An IoT-based Platform for Automated Customized Shopping in Distributed Environments. Procedia CIRP, 72, 892-897. doi: 10.1016/j.procir.2018.03.199
• Dissanayake, D. G. K. (2019). Does Mass Customization Enable Sustainability in the Fashion Industry? London, UK: IntechOpen Limited, 1-9. doi: 10.5772/intechopen. 88281
• El Arif, F. Z. (2020). Insurance Distribution in the Digital Age. IOSR Journal of Economics and Finance (IOSRJEF), 11(3), 31-38. doi: 10.9790/5933-1103063138
• Eling, M., & Lehmann, M. (2018). The Impact of Digitalization on the Insurance Value Chain and the Insurability of Risks. Geneva Papers on Risk and Insurance - Issues and Practice, 43, 359-396. doi: 10.1057/s41288-017-0073-0
• Frazer, M., & Stiehler, B. E. (2014). Omnichannel Retailing: The Merging Of The Online And Off-Line Environment. Global Conference on Business and Finance Proceedings, 9(1), 655-657.
• Google Ads Help. (2020). About Keyword Planner. Retrieved from https://support.google.com/googleads/answer/7337243?hl=en
• Google Ads. (2020). How to use the Keyword Planner tool effectively. Retrieved from https://ads.google.com/home/resources/using-google-ads-keyword-planner/
• Google Support. (2020). Compare Trends search terms. Resource document. Retrieved from https://support. google.com/trends/answer/4359550?hl=en
• Google Support. (2020). FAQ about Google Trends data. Retrieved from https://support.google.com/trends/ answer/4365533?hl=en&ref_topic=6248052
• Google Support. (2020). Keyword Planner: Get metrics and forecasts. Retrieved from https://support.google.com/google-ads/answer/3022575
• Hora, M., Hankammer, S., Canetta, L., Sel, S. K., Gomez, S., & Gahrens, S. (2016). Designing Business Models for Sustainable Mass Customization: A Framework Proposal. International Journal of Industrial Engineering and Management, 7(4), 143-152.
• Hu, S. J. (2013). Evolving Paradigms of Manufacturing: From Mass Production to Mass Customization and Personalization. Procedia CIRP, 7, 3-8. doi: 10.1016/j.procir.2013.05.002
• Huffman, C., & Kahn, B. E. (1998). Variety for Sale Mass Customization or Mass Confusion. Journal of Retailing, 74(4), 491-513. doi: 10.1016/S0022-4359(99)80105-5
• IIZI. (2019). GrECo acquires Sagauta in Lithuania to build major player in the Baltics. Retrieved from https://www.iizi.ee/en/uudised/ariklient/greco-omandabsagauta-leedus-ja-saab-baltikumi-suurtegijaks
• Insurance Information Institute. (2019). 2019 Insurance Fact Book. Retrieved from https://www.iii.org/sites/default/files/docs/pdf/insurance_factbook_2019.pdf
• Kaigorodova, G., Mustafina, A., & Alyakina, D. (2018). Directions of improving information system of insurance company. Journal of Physics: Conference Series, 1015. doi: 042016.10.1088/1742-6596/1015/4/042016
• Kamis, A., Koufaris, M., & Stern, T. (2004). Online Mass Customization and the Customer Experience. AMCIS 2004 Proceedings, 481.
• Kamis, A., Stern, T., & Ladik, D. M. (2008) A flow-based model of web site intentions when users customize products in business-to-consumer electronic commerce. Information Systems Frontiers, 12, 157-168. doi: 10.1007/s10796-008-9135-y
• Kanama, D. (2018). Manufacturing Transformation toward Mass Customization and Personalization in the Traditional Food Industry. London, UK: IntechOpen Limited. doi: 10.5772/intechopen.72312
• Khanboubi, F., Boulmakoula, A., & Tabaa, M. (2019). Impact of digital trends using IoT on banking processes. Procedia Computer Science, 15, 77-84. doi: 10.1016/j.procs.2019.04.014
• Klapkiv, Y., Lyubov, K., & Zarudna, N. (2018). Online Distribution of Insurance of Civil Liability of Owners of Vehicles, The Experience of Poland, Opportunities of Ukraine. Baltic Journal of Economic Studies, 4, 195- 201. doi: 10.30525/2256-0742/2018-4-1-195-201
• Koutsabasis, P., Stavrakis, M., Viorres, N., Darzentas, J. S., Spyrou, T., & Darzentas, J. (2008). A descriptive reference framework for the personalisation of ebusiness applications. Electronic Commerce Research, 8(3), 173-192. doi: 10.1007/s10660-008-9021-1
• Koutsomitropoulos, D. A., & Kalou, A. K. (2017). A standards- based ontology and support for Big Data Analytics in the insurance industry. ICT Express, 3, 57- 61. doi: 10.1016/j.icte.2017.05.007
• Kritzinger, W. T., & Weideman, M. (2013). Search Engine Optimization and Pay-per-Click Marketing Strategies. Journal of Organizational Computing and Electronic Commerce, 23(3), 273-286. doi: 10.1080/10919392.2013.808124
• Küster, I, Vila, N., & Canales, P. (2016). How does the online service level influence consumers’ purchase intentions before a transaction? A formative approach. European Journal of Management and Business Economics, 25, 111-120. doi: 10.1016/j.redeen.2016.04.001
• Lezgovko, A., & Lastauskas, P. (2019). Expansion of insurance business: theoretical aspects and assumptions of market development. Business: Theory and Practice, 9(2), 125-136. doi: 10.3846/1648-0627.2008.9.125-136
• Łyskawa, K., Kędra, A., Klapkiv, L., & Klapkiv, J. (2019). Digitalization in insurance companies. International Scientific Conference Contemporary Issues In Business, Management and Economics Engineering’2019, 842-852. doi: 10.3846/cibmee.2019.086.
• Lyubov, K. (2018). Technological innovations in the insurance industry. Rozprawy Ubezpieczeniowe, 26, 67-78.
• Medini, K., Duigou, J. L., Cunha, C. D., & Bernard, A. (2015). Investigating mass customization and sustainability compatibilities. International Journal of Engineering, Science and Technology, 7(1), 11-20. doi: 10.4314/ijest.v7i1.2
• Mitrovic, D., Trifunovic, D., & Ranđelović, S. (2019). Digitalisation in the Financial Sector and Implications for Insurance. In Contemporary Trends In Insurance At The Beginning Of The Fourth Industrial Revolution. Belgrade: Faculty of Economics.
• Nguyen, H. T. (2019). Digital transformation in insurance distribution: international experience and suggestions for Vietnam. Asian Journal of Science and Technology, 10(04), 9628-9632.
• Niraula, P., & Kautish, S. (2019). Study of The Digital Transformation Adoption in The Insurance Sector of Nepal. LBEF Research Journal of Science, Technology and Management, 1(1), 43-60.
• OECD. (2018). Global insurance market trends 2017. Retrieved from https://www.oecd.org/daf/fin/insurance/Global-Insurance-Market-Trends-2017.pdf
• OECD. (2019). Global insurance market trends 2018. Retrieved from https://www.oecd.org/daf/fin/insurance/ Global-Insurance-Market-Trends-2018.pdf.
• Ogrean, C. (2018). Relevance of Big Data for Business and Management. Exploratory Insights (Part I). Studies in Business and Economics, 13(2), 153-161. doi: 10.2478/sbe-2018-0027
• Orenga-Roglá, S., & Chalmeta, R. (2019). Framework for Implementing a Big Data Ecosystem in Organizations. Communications of the ACM, 62(1), 58-65. doi: 10.1145/3210752
• Park, M., & Yoo, J. (2018). Benefits of mass customized products: moderating role of product involvement and fashion innovativeness. Heliyon, 4(2), 1-25. doi: 10.1016/j.heliyon.2018.e00537
• Piller, F. T., Berger, C., Möslein, K. M., & Reichwald, R. (2005). Co-Designing the Customer Interface: Learning from Exploratory Research. European Management Review, 2(1), 70-87. doi: 10.1057/palgrave.emr.1500030
• Raudeliūnienė, J., & Račinskaja, I. (2014). Assessment of the knowledge acquisition process in Lithuanian insurance sector. Business: Theory and Practice, 15(2), 149-159. doi: 10.3846/btp.2014.15
• Sekulovska, M. (2012). Internet Business Models For E-Insurance And Conditions In Republic Of Macedonia. Procedia - Social and Behavioral Sciences, 44, 163- 168. doi: 10.1016/j.sbspro.2012.05.016
• Shubenko, I. (2020). Trends of Digitization in the Insurance Market of Ukraine. Business Inform, 2, 273-279. doi: 10.32983/2222-4459-2020-2-273-279
• Stoeckli, E., Dremel, C., & Uebernickel, F. (2018). Exploring characteristics and transformational capabilities of InsurTech innovations to understand insurance value creation in a digital world. Electronic Markets, 28, 285-307. doi: 10.1007/s12525-018-0304-7
• Swiss Re Institute. (2019). Sigma. World Insurance: the great pivot east continues. Retrieved from https://www.swissre.com/dam/jcr:b8010432-3697-4a97-ad8b- 6cb6c0aece33/sigma3_2019_en.pdf
• The Baltic Times. (2019). Record growth of 27% in the volume of insurance premiums written by BTA in the Baltic States last year. Retrieved from https://www. baltictimes.com/record_growth_of_27__in_the_volume_ of_insurance_premiums_written_by_bta_in_ the_baltic_states_last_year/
• Tiihonen, J., & Felfernig, A. (2017). An introduction to personalization and mass customization. Journal of Intelligent Information Systems, 49, 1-7. doi: 10.1007/s10844-017-0465-4
• Trentin, A., Perin, E., & Forza, C. (2013). Sales configurator capabilities to avoid the product variety paradox: Construct development and validation. Computers in Industry, 64(4), 436-447. doi: 10.1016/j.compind.2013.02.006
• Walczak, M. (2014). Models of the emergence and diffusion of mass customization. Procedia - Social and Behavioral Sciences, 110, 812-821. doi: 10.1016/j.sbspro.2013.12.926
• Wang, S. S. (2019). Integrated framework for information security investment and cyber insurance. Pacific- Basin Finance Journal, 57, 1-12. doi: 10.1016/j.pacfin.2019.101173
• Warg, M., Zolnowski, A., Frosch, M., & Weiß, P. (2019). From Product Organization to Platform Organization - Observations of Organizational Development in the Insurance Industry. Proceedings of Conference The 10 years Naples Forum on Service, 2-16.
• Weingarth, J., Hagenschulte, J., Schmidt, N., & Balser, M. (2019). Building a Digitally Enabled Future: An Insurance Industry Case Study on Digitalization. In N. Urbach, & M. Röglinger (Eds.), Digitalization Cases. Management for Professionals. Cham, UK: Springer. doi: 10.1007/978-3-319-95273-4_13
• Wiesböck, F., Matt, C., Hess, T. H., & Li, L. (2017). How Management in the German Insurance Industry Can Handle Digital Transformation. Management Report, 1-26.
• WordStream. (2020). Google Trends: What Is Google Trends? Retrieved from https://www.wordstream.com/google-trends
• Xu, Y., Chen, G., & Zheng, J. (2016). An integrated solution— KAGFM for mass customization in customeroriented product design under cloud manufacturing environment. The International Journal of Advanced Manufacturing Technology, 84(1-4), 85-101. doi: 10.1007/s00170-015-8074-2
• Zarina, I., Voronova, I., & Pettere, G. (2019). Internal model for insurers: possibilities and issues. International Scientific Conference Contemporary Issues In Business, Management and Economics Engineering’2019, 255-265. doi: 10.3846/cibmee.2019.026
• Zhang, C., Chen, D., Tao, F., & Liu, A. (2019). Data Driven Smart Customization. Procedia CIRP, 564-569. doi: 10.1016/j.procir.2019.03.156
• Zolnowski, A., & Warg, M. (2017). Let’s Get Digital: Digitizing the Insurance Business with Service Platforms. Cutter Business Technology Journal, 30(9), 19-24.