MRU Doctoral Student Baranauskas Defended PhD Dissertation on Modelling End-User Behaviour in Digital Insurance Platforms - MRU
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28 February, 2023
MRU Doctoral Student Baranauskas Defended PhD Dissertation on Modelling End-User Behaviour in Digital Insurance Platforms
MRUen
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Faculty of Public Governance and Business
Research
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Dissertation Defense | PhD

Feb. 27th, 2023, Mykolas Romeris University (MRU) doctoral student Gedas Baranauskas (Institute of Management and Political Science) successfully defend his PhD dissertation: "Combined Mass Customization and Personalization Methods to Model End-User Behavior in Digital Insurance Platforms.

Research Supervisor:
Prof. Dr. Agota Giedrė Raišienė (Mykolas Romeris University, Social Sciences, Management, S 003).

Defense Council: 

Prof. Dr. Giedrius Jucevičius (Vytautas Magnus University, Social sciences, Management S 003).

Members:
Assoc. Prof. Dr. Dap Hartmann (Delft University of Technology, the Netherlands, Social sciences, Management, S 003);
Assoc. Prof. Dr. Damian Kedziora (Lahti University of Technology, Finland, Social sciences, Management, S 003);
Prof. Dr. Lina Pilelienė (Vytautas Magnus University, Social sciences, Management, S 003);
Prof. Dr. Tadas Sudnickas (Mykolas Romeris University, Social sciences, Management, S 003).

The disertation aims to provide a critical assesment and to model a conceptual framework of combined mass customization and personalization, technology acceptance and decision-making methods within modelling the insurance consumers’ decision-making process in digital insurance platforms. Accordingly, combined online customization frameworks and an integrated digital insurance decision-making process framework were modelled and empirically validated within 3 years of investigation (2020 – 2022). The research focused on the content, trends, state-of-the-art of the non-life insurance market, consumers’ behavioral patterns, and digital insurance platforms in Lithuania, Latvia, and Estonia. Afterward, a combined 2-level recommendation model and usage guidelines were prepared for a practical application of both internal and market analyses on digital insurance markets and modeling the consumer decision-making process in digital insurance platforms.