Sökning: "Payment Behaviour"
Visar resultat 6 - 10 av 42 uppsatser innehållade orden Payment Behaviour.
6. Impulsive Buying Behaviour on BNPL Services
Kandidat-uppsats, Lunds universitet/Företagsekonomiska institutionenSammanfattning : Title A quantitative study on the buying behaviour of Generation Z Keywords: Consumer credit, BNPL, consumer behaviour, generation Z, impulsive buying Background: The Buy now, pay later service has been developing rapidly in recent years and is being regarded as one of the fastest-growing modes of digital payments. There is an increasing number of online retailers and platforms partnering with payment solutions companies to offer an easy, seamless checkout experience for their customers. LÄS MER
7. Anticipating bankruptcies among companies with abnormal credit risk behaviour : Acase study adopting a GBDT model for small Swedish companies
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The field of bankruptcy prediction has experienced a notable increase of interest in recent years. Machine Learning (ML) models have been an essential component of developing more sophisticated models. Previous studies within bankruptcy prediction have not evaluated how well ML techniques adopt for data sets of companies with higher credit risks. LÄS MER
8. Dark Patterns in Digital Buy Now Pay Later Services
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Buy Now Pay Later (BNPL) is a financial service whereby customers defer payment on a purchase against a short-term debt. While BNPL services have a long history, digital invoice services are now the largest market for BNPL. For the study, two of the largest providers in Sweden, and their checkout interfaces were reviewed for dark patterns. LÄS MER
9. Mobile Payment Adoption During The Covid-19 Pandemic: A Quantitative Study In Germany
Master-uppsats, Jönköping University/IHH, FöretagsekonomiSammanfattning : Background: Emerging in December 2019, the COVID-19 pandemic profoundly changed consumer behaviour leading to social distancing and mitigating physical contact. Statistics show an increased use of contactless and mobile payment usage and adoption during the pandemic. LÄS MER
10. Predicting Subprime Customers' Probability of Default Using Transaction and Debt Data from NPLs
Master-uppsats, KTH/Matematisk statistikSammanfattning : This thesis aims to predict the probability of default (PD) of non-performing loan (NPL) customers using transaction and debt data, as a part of developing credit scoring model for Hoist Finance. Many NPL customers face financial exclusion due to default and therefore are considered as bad customers. LÄS MER