Sökning: "spending behaviour"
Visar resultat 1 - 5 av 42 uppsatser innehållade orden spending behaviour.
1. Gamification within the Metaverse : A quantitative study to understand how consumer engagement is influenced by gamification strategies in the Metaverse
Kandidat-uppsats, Karlstads universitet/Handelshögskolan (from 2013)Sammanfattning : Through the development of digitalization, the use of the Metaverse and the strategy of utilizing game elements for brands has increased. Therefore, this thesis purpose has been to understand, from the consumers perspective, if consumer engagement is influenced by gamification strategies used by brands in the Metaverse. LÄS MER
2. Predicting Customer Churn and Customer Lifetime Value (CLV) using Machine Learning
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : In an evermore competitive environment for companies and business, predictive customer behaviour models can give companies a competitive edge over its competitors. Two such important predictive behaviour models are customer churn models and customer lifetime value (CLV) models. LÄS MER
3. Player consumption psychology : Constructing user profiles for game developers
Magister-uppsats, Högskolan i Skövde/Institutionen för informationsteknologiSammanfattning : Free-to-play gamers' spending habits are crucial for game developers to generate revenue in games. The unique thing about free-to-play business model games is that players don't have to pay to play the game, but need to make in-game purchases if they want a better gaming experience. LÄS MER
4. Investigating the reliability of a separation : and reunion test performed on pet dogs (Canis familiaris) and their owners
Master-uppsats, SLU/Dept. of Animal Environment and HealthSammanfattning : Our long mutual history together with the dog (Canis familiaris) has influenced health, physique, wellbeing, as well as behaviour – on both parts. Today, we refer to dogs as family members rather than working tools. LÄS MER
5. Classification Method of Financial Behaviour Through Means of Machine Learning : Can a classification method created using bank transaction and machine learning help individuals to understand their spending behavior?
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : With the current fast transformation from physical cash to digitized banking systems, there are more and more people that are at risk of overspending without realizing it. There are methods and researches done that are targeted at incorporating machine learning in identifying fraudulent transactions and credit scores but currently there is no research done in categorizing people’s behaviour based on transaction records using machine learning techniques. LÄS MER