Browsing Fakultet for økonomi (ØK) by Title
Now showing items 1030-1049 of 6229
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Dagdrømmer & forbruk - En større glede å jage enn å eie - En forbrukersosiologisk studie om dagdrømmeri blant norske forbrukere i 2018
(Master thesis, 2018)Hensikten med vår masteravhandling er å få innsikt i hvordan dagens forbrukere opplever sine dagdrømmer ut ifra teori om at dette fenomenet utgjør selve drivkraften i forbrukerkulturen. Dagdrømmeri legger føringer for en ... -
The daily swab test collection problem
(Peer reviewed; Journal article, 2022)Digital Contact Tracing (DCT) has been proved to be an effective tool to counteract the new SARS-CoV-2 or Covid-19. Despite this widespread effort to adopt the DCT, less attention has been paid to the organisation of the ... -
Daily work-related recovery of entrepreneurs - An exploratory study of recovery activities
(Master thesis, 2020)Gründere er en gruppe som er kjent for å oppleve høyt stressnivå på grunn av krevende arbeidsvilkår. Dette inkluderer faktorer som mye risiko og usikkerhet samt ansvar for bedriftens suksess. I tillegg identifiserer mange ... -
Danmark og Polen: Forskjeller i avkastning av utdanning
(Bachelor thesis, 2019)Hovedfunn i vår analyse: - Det generelle lønnsgapet mellom Danmark og Polen er betydelig. Våre estimater tyder på at en polakk i gjennomsnitt tjener 150 prosent mindre i timen enn det en danske gjør. - I alle modeller ... -
Danske elite resultater 2021. OL i Tokyo: Fortsat guldalder for danske atleter, 2021
(Research report, 2021)Dansk elitesport gjorde en god figur ved de Olympiske Lege (OL) i Tokyo. Usikkerheden som følge af coronakrisen og udsættelsen af legene havde ingen negativ effekt på de danske atleters præstationer. Med enkelte undtagelser ... -
Danske eliteresultater 2018: Frem, tilbage eller ligevægt? Danmarks aktuelle konkurrenceevne i international elitesport
(Research report, 2019)Med under to år til det går løs ved de olympiske sommerlege i den japanske hovedstad, Tokyo, er spørgsmålet, om dansk elitesport er på vej frem eller tilbage internationalt. Idans årlige resultatanalyse analyserer udviklingen ... -
Danske eliteresultater 2019: Flere medaljer men færre medaljeaspiranter. Hvor godt er Danmark rustet til OL i Tokyo?
(Research report, 2020)Det blev en skuffende afslutning på det danske elitesportsår 2019, da det danske kvindelandshold i håndbold blot opnåede en 9. plads ved VM i Japan i december og dermed missede OL-kvalifikationen. Det gik endnu værre for ... -
DARWIN Resilience Management Guidelines for Everyday Operations in the Petroleum Industry
(Master thesis, 2020)Målet med denne avhandlingen var å analysere en valgt case innen petroleumsindustrien, for å vurdere hvor resiliens styring kunne benyttes for å forbedre resiliens kapabiliteter i operasjonen. Casen som ble behandlet er ... -
Data Driven Real-Time Petroleum Production Planning Using Optimization and Neural Networks
(Master thesis, 2018)Real-time optimization (RTO) of petroleum production is concerned with maximizing daily oil production by suggesting minor adjustments to the system and frequently re-solving the optimization model. A central part of the ... -
Data for a meta-analysis of the adaptive layer in adaptive large neighborhood search
(Journal article; Peer reviewed, 2020)Meta-analysis, a systematic statistical examination that combines the results of several independent studies, has the potential of obtaining problem- and implementation-independent knowledge and understanding of metaheuristic ... -
Data-Driven Decision-Making in the Public Procurement System: The Case of Norway
(Doctoral theses at NTNU;2024:70, Doctoral thesis, 2024)The thesis explores into Data-Driven Decision Making (DDDM) in public procurement in Norway. Public procurement is crucial for the efficient use of collective resources, to foster competition in the supplier market, and ... -
A Data-driven Explainable Case-based Reasoning Approach for Financial Risk Detection
(Peer reviewed; Journal article, 2022)The rapid development of artificial intelligence methods contributes to their wide applications for forecasting various financial risks in recent years. This study introduces a novel explainable case-based reasoning (CBR) ... -
Data-driven information for action
(Journal article; Peer reviewed, 2023)Because of the increase in data and the possibilities created by machine learning, organizations are now looking to become more data-driven. In sociotechnical systems design there has been a focus on designing information ... -
Datafangst i asfaltverdikjede
(Bachelor thesis, 2020)Dette prosjektet har som hensikt å undersøke hvordan datafangst i Veidekkes asfaltverdikjede kan utbedres. Rapporten tar for seg hvordan datafangsten kan gi bedre flyt, redusere behov for manuelle inngrep og hvilke KPIer ... -
Dataset for field experiments analyzing discrimination in amateur soccer
(Peer reviewed; Journal article, 2021)This paper presents data of field experiments that analyze discrimination in amateur soccer. The studies created fake accounts and asked amateur soccer coaches to come for a trial practice. The fake accounts had either a ... -
Day-ahead electricity market bidding for a cascaded reservoir system: A stochastic programming approach
(Master thesis, 2013)In this thesis a stochastic model for bid optimization and short-term productionscheduling has been implemented and tested trough a simulationprocedure run over a longer period of time for a complex real-life river system.The ... -
Day-ahead electricity price prediction applying hybrid models of LSTM-based deep learning methods and feature selection algorithms under consideration of market coupling
(Peer reviewed; Journal article, 2021)The availability of accurate day-ahead electricity price forecasts is pivotal for electricity market participants. In the context of trade liberalisation and market harmonisation in the European markets, accurate price ... -
Day-ahead market bidding taking the balancing power market into account
(Journal article; Peer reviewed, 2022) -
DCC-GARCH, a time-varying correlation assessment of cryptocurrencies hedging, safe haven and diversification capabilities
(Master thesis, 2022)Denne masteroppgaven bruker en dynamic conditional correlation (DCC) metode for å teste ulike kryptovaluta og råvarers evner til å fungere som en sikring eller trygg havn, mot ulike aksjeindekser i verden. I tillegg ...