Sirvi Autor "Kitt, Lennart, juhendaja" järgi

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Data KPI – according to some theories KPIs should meet “SMART-criteria” (Specific, Measurable, Attainable, Realistic, Timely). As analysts are often part of bigger projects, their contribution is less measurable; how to set motivating KPIs for analysts?
(Tartu Ülikool, 2023) Rupakheti, Salona; Hasilov, Kamran; Trabskaia, Iuliia, juhendaja; Kitt, Lennart, juhendaja; Tartu Ülikool. Majandusteaduskond; Tartu Ülikool. Sotsiaalteaduste valdkond
Data literacy in organizations
(Tartu Ülikool, 2023) Piriyeva, Zulfiyya; Hajiyeva, Nazan; Kitt, Lennart, juhendaja; Trabskaia, Iuliia, juhendaja; Tartu Ülikool. Majandusteaduskond; Tartu Ülikool. Sotsiaalteaduste valdkond
Silver economy in banking sector
(Tartu Ülikool, 2023) Sanvir Kaur; Kitt, Lennart, juhendaja; Trabskaia, Iuliia, juhendaja; Tartu Ülikool. Majandusteaduskond; Tartu Ülikool. Sotsiaalteaduste valdkond
The problem of creepy personalised recommendations in banks
(Tartu Ülikool, 2025) Yaroshyk, Palina; Davies, Alexander Stewart, juhendaja; Kitt, Lennart, juhendaja; Tartu Ülikool. Humanitaarteaduste ja kunstide valdkond; Tartu Ülikool. Filosoofia osakond
This thesis set out to investigate two primary questions: (1) what makes some personalised recommendations from banks feel creepy, and (2) how banks can maintain highly personalised recommendations while eliminating creepiness. To address these questions, the thesis employed a strategy of first establishing a theoretical framework, examining cases where the risk of creepiness is lower or absent compared to the same recommendation given in different context, and, finally, proposing some practical solutions for banks based on the insights gained, aiming to preserve the benefits of personalisation and eliminate the harms of creepiness.