Essays about: "transactional models"

Showing result 1 - 5 of 17 essays containing the words transactional models.

  1. 1. MONEY ON (THE) LINE : A Quantitative Study on the Effects of Different Types of Digital Government Services on Petty Corruption

    University essay from Uppsala universitet/Statsvetenskapliga institutionen

    Author : Victor Hasslöf; [2024]
    Keywords : E-government; E-governance; E-services; E-service; electronic; government; governance; digital; government; service; services; digital; digitalization; computer; public; sector; informational; transactional; corruption; petty; crime; economics; quantitative; analysis; 2014; 2013; EGDI; online; index; subindex; disaggregate; conceptualization; data; E-tjänst; E-services; digitalisering; digital; tjänst; offentlig; sektor; korruption; tjänstemannakorruption; information; transaktion; brottsekonomi; dator; ekonomi; kvantitativ; analys; 2014; 2015; EGDI; online; index; underindex; disaggregerad; konceptualisera; data;

    Abstract : Previous research indicates that improving digital government services may contribute to the reduction of corruption. This study seeks to deepen the knowledge of this suggested causal link in several ways. Firstly, it adds nuance by examining the effects of two distinct sub-types of digital government services on specifically petty corruption. READ MORE

  2. 2. Shifting Gears: Entering the Automotive Vertical

    University essay from Lunds universitet/Innovationsteknik

    Author : Tobias Anderberg; Axel Svensson; [2023]
    Keywords : Online automotive advertising; performance-based pricing; classifieds; marketplaces; transactional models; monopolistic markets.; Technology and Engineering;

    Abstract : Tradera, Sweden's leading online marketplace for circular consumption, is considering entering the online automotive advertising market in Sweden as a new vertical to diversify its business. This thesis aims to determine if Tradera should enter the online automotive advertising market and to propose a strategic roadmap for entry if it is determined to be beneficial. READ MORE

  3. 3. Machine learning for detecting financial crime from transactional behaviour

    University essay from Uppsala universitet/Signaler och system

    Author : Markus Englund; [2023]
    Keywords : machine learning; deep learning; financial crime; time series; time series classification; XGBoost; maskininlärning; djupinlärning; finansiell brottslighet; tidsserier; klassificering av tidsserier; XGBoost;

    Abstract : Banks and other financial institutions are to a certain extent obligated to ensure that their services are not utilized for any type of financial crime. This thesis investigates the possibility of analyzing bank customers' transactional behaviour with machine learning to detect if they are involved in financial crime. READ MORE

  4. 4. Does gender actually matter?

    University essay from Handelshögskolan i Stockholm/Institutionen för företagande och ledning

    Author : Sahba Sadeghi; Olivia Halling; [2022]
    Keywords : Gender; Transformational leadership; Transactional leadership; High School; COVID-19;

    Abstract : This qualitative study thesis examines the significance of gender for school leadership during the COVID-19 pandemic. The empirical material consists of semi-structured interviews from a sample of 14 mixed-gender principals of Swedish high schools. READ MORE

  5. 5. Forecasting checking account balance : Using supervised machine learning

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Martin Dannelind; [2022]
    Keywords : Time series forecasting; account balance forecasting; economic predicition; Python; GRU; LSTM; RNN; XGBoost; prophet; checking account;

    Abstract : The introduction of open banking has made it possible for companies to build the next generation of applications based on transactional data. Enabling economic forecasts which private individuals can use to make responsible financial decisions. This project investigated forecasting account balances using supervised learning. READ MORE