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
Research
Studies
Dissertation Defense | PhD
MRUen
University
Faculty of Public Governance and Business

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.