Blar i Institutt for industriell økonomi og teknologiledelse på tittel
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Risk Characteristics of Hydrogen Sulphide Exposure in Wastewater Collection and Treatment Related Occupations
(Peer reviewed; Journal article, 2022)Objectives Water and wastewater workers can be exposed to hydrogen sulphide (H2S), with an unpredictable exposure pattern, dominated by sharp peaks. These peaks can often be high above the ceiling value (CV) at 10 ... -
Risk Control in Maritime Shipping Investments
(Journal article; Peer reviewed, 2019)In this paper we extend the state-of-the-art stochastic programming models for the Maritime Fleet Renewal Problem (MFRP) to explicitly limit the risk of insolvency due to negative cash flows when making maritime shipping ... -
Risk factor analysis across business segments in the US equity market
(Master thesis, 2012)This report examines whether the excess total return to shareholders could be projected by common accounting and market ratios using regression analysis. Our four most important results indicate that; 1) growth stocks ... -
Risk factors in stock returns of U.S. oil and gas companies: evidence from quantile regression analysis
(Journal article; Peer reviewed, 2022) -
Risk in the Internationalization Process of Norwegian SMEs
(Master thesis, 2012)By studying the internationalization process of four Norwegian SMEs involved in a governmental-backed internationalization support program, this case study aims at uncovering how SMEs identify, evaluate and mitigate risks ... -
Risk in transit: a case study of the introduction of a new risk definition for risk management in the Norwegian petroleum industry
(Journal article; Peer reviewed, 2023)In 2015, a new risk definition was presented by the Norwegian Petroleum Safety Authority (PSA-N) as a petroleum regulation update and ‘rolled out’ in the PSA-N organisation and the oil and gas industry as a regulatory ... -
Risk Management through Optimal Procurement Contracting in the Aluminium Remelting Industry
(Master thesis, 2018)In today s increasingly turbulent and volatile commodity exchange markets, it is evident that controlling the risks in procurement strategies is an important issue. In this thesis, we develop a portfolio procurement ... -
A risk model for recreational craft accidents
(Chapter, 2023)The Recreational Craft Platform (RCP, Norwegian: Fritidsbåtplattformen) is being developed to collect and merge available data on recreational craft accidents and thereby enable stakeholders to actively take measures to ... -
Risk Modelling in Energy Markets: A Value at Risk and Expected Shortfall Approach
(Master thesis, 2011)Value at risk (VaR) and Expected Shortfall (ES) are commonly used risk measures in the financial literature. They have however not been applied to a great extent on energy derivatives. This paper compares the performance ... -
Risk modelling using Vine Copulas: Modelling an energy company portfolio
(Master thesis, 2013)In this paper, a method for calculating Value-at-Risk using GARCH and Vine Copulamodelling with various marginals is implemented and tested on a set of eight electricity futures. The forecasts from this model are then ... -
Risk Parity Stock Optimization Using Principal Component Quantile Simulation
(Master thesis, 2016)Today's portfolio optimization models are often too sensitive to stochastic input parameters and the use of outdated risk measures, resulting in poor risk adjusted return. This thesis presents a solution to avoid these ... -
Risk Premia in the German Electricity Forward Market: The Impact of Variable Renewable Energy Sources
(Master thesis, 2022)Denne masteroppgaven analyserer empirisk effekten av variable fornybare energikilder (VRES) på risikopremien i det tyske elektrisitetsmarkedet. Vi undersøker kort- og langsiktige risikopremier gjennom (i) day-ahead-futures ... -
Risk Premium in the Nordic Power Market: A Quantile Regression Analysis
(Master thesis, 2013)Electricity is a highly volatile commodity and the risk premium affects marketparticipants who use financial contracts. In this thesis, the risk premium in theNordic electricity market is investigated using data from 2009 ... -
Risk-based decision-making support model for offshore dynamic positioning operations
(Journal article; Peer reviewed, 2021)A Dynamic Positioning (DP) system enables vessels and rigs to accurately maintain a predetermined position and heading or track. It enables precise operations under harsh environmental conditions. DP is used for a variety ... -
Road tunnel‑derived coarse, fine and ultrafine particulate matter: physical and chemical characterization and pro‑inflammatory responses in human bronchial epithelial cells
(Peer reviewed; Journal article, 2022)Background Traffic particulate matter (PM) comprises a mixture of particles from fuel combustion and wear of road pavement, tires and brakes. In countries with low winter temperatures the relative contribution of ... -
Robot-supervised Learning of Crop Row Segmentation
(Chapter, 2021)We propose an approach for robot-supervised learning that automates label generation for semantic segmentation with Convolutional Neural Networks (CNNs) for crop row detection in a field. Using a training robot equipped ... -
Robust Optimization for a Maritime Inventory Routing Problem
(Journal article; Peer reviewed, 2018)We consider a single product maritime inventory routing problem in which the production and consumption rates are constant over the planning horizon. The problem involves a heterogeneous fleet and multiple production and ... -
Robust planning and disruption management in roll-on roll-off liner shipping
(Journal article; Peer reviewed, 2016)This paper presents different strategies for handling disruptions in fleet deployment in roll-on roll-off liner shipping, which basically consists of assigning a fleet of vessels to predefined voyages at minimum cost. A ... -
Robust route design for vehicle routing problems with stochastic customer demand
(Master thesis, 2009) -
The Role of Consumer Autonomy in Developing Sustainable AI: A Conceptual Framework
(Peer reviewed; Journal article, 2021)Artificial intelligence (AI)-based decision aids are increasingly employed by businesses to assist consumers’ decision-making. Personalized content based on consumers’ data brings benefits for both consumers and businesses, ...