Sökning: "Video-On-Demand"
Visar resultat 1 - 5 av 74 uppsatser innehållade ordet Video-On-Demand.
1. Success in a niche market: a grounded theory analysis of video-on-demand platforms for performing arts in Europe
Master-uppsats, Lunds universitet/Institutionen för tjänstevetenskapSammanfattning : Study purpose: This paper delves into the nuances of success in the niche market of video-on-demand (VoD) platforms for performing arts in Europe, focusing on managerial perspectives. It seeks to comprehend how top executives construct success and the associated meanings in their strategic decisions within this market, where success is often equated with profitability, survival, or expansion. LÄS MER
2. Eat, Sleep, Stream, Repeat : A quantitative study comparing the streaming behavior of Swedish consumers of ages 20-30 and 40-60.
Kandidat-uppsats, Jönköping University/IHH, FöretagsekonomiSammanfattning : Background: The market for streaming services has grown in Sweden, perhaps because of the country’s high technology level and high trust in digital payments, both of which are necessary to stream videos online and pay subscription fees. The usage of streaming services and the motivational factors for choosing them are dependent on many different variables, such as cultural and economic situations as well as individual needs. LÄS MER
3. “Ett avsnitt till” - Cliffhangers inverkan på binge-watching : En narrativ analys av serier från olika tidsperioder
Kandidat-uppsats, Högskolan Dalarna/Institutionen för kultur och samhälleSammanfattning : Uppsatsen undersöker vad binge-watching är för ett fenomen, och närmare vad som gör en TV-serie binge-värdig. Kopplingar mellan element som är förknippade med att göra en serie beroendeframkallande, främst cliffhangers undersökas på en djup nivå. LÄS MER
4. Online Sample Selection for Resource Constrained Networked Systems
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : As more devices with different service requirements become connected to networked systems, such as Internet of Things (IoT) devices, maintaining quality of service becomes increasingly difficult. Large data sets can be obtained ahead of time in networks to train prediction models offline, however, resulting in high computational costs. LÄS MER
5. Improving Recommender Engines for Video Streaming Platforms with RNNs and Multivariate Data
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : For over 4 years now, there has been a fierce fight for staying ahead in the so-called ”Streaming War”. The Covid-19 pandemic and its consequent confinement only worsened the situation. In such a market where the user is faced with too many streaming video services to choose from, retaining customers becomes a necessary must. LÄS MER