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Open-Office Noise and Information Processing
(Peer reviewed; Journal article, 2023)Purpose: We draw on arousal-based models to develop and test a model of open-office noise and information processing. Specifically, we examined whether open-office noise changes how people process information and whether ... -
Occupational Prestige and Occupational Social Value in the United Kingdom: New Indices for the Modern British Economy
(Peer reviewed; Journal article, 2024)Sociological research has long been interested in occupational evaluation. However, occupational research remains hampered by conceptual ambiguity and methodological problems. To address these issues, we present new indices ... -
Negative nominal interest rates and the bank lending channel
(Peer reviewed; Journal article, 2023)We investigate the bank lending channel of negative nominal policy rates from an empirical and theoretical perspective. For the empirical results we rely on Swedish data, including daily banklevel lending rates. We find ... -
Trading wage jobs for dreams: the interplay between entry modes into self-employment and the duration of subsequent self-employment stints
(Peer reviewed; Journal article, 2024)Wage employees enter self-employment either directly or in a staged manner and may subsequently undertake multiple stints at self-employment. Extant research on the relationship between entry modes and the persistence and ... -
Taylor Rules with Endogenous Regimes
(CAMP Working Paper Series;04/2024, Working paper, 2024-05-07)The Fed’s policy rule switches during the different phases of the business cycle. This finding is established using a dynamic mixture model to estimate regime-dependent Taylor-type rules on US quarterly data from 1960 to ... -
Digital transformation and industry 4.0 employees: Empirical evidence from top digital nations
(Peer reviewed; Journal article, 2023)As the central part of Industry 4.0 (I4.0), Digital Transformation (DT) is being enthusiastically implemented in business organisations. Current DT literature has focused on business and strategy, but little attention has ... -
How do Norwegian versus German health authorities use rhetoric and build upon public trust in their communication during the Covid-19 crisis?
(Master thesis, 2023)This case study investigates two television programs, 'Markus Lanz' (ZDF) in Germany and 'Debatten' (NRK) in Norway, focusing on the rhetorical strategies employed by health authorities during the critical period of November ... -
New institutional theory and AI: toward rethinking of artificial intelligence in organizations
(Peer reviewed; Journal article, 2024)Purpose– Thisstudy, a theoretical article, aims to introduce new institutionalism as a framework through which business and management researchers can explore the significance of artificial intelligence (AI) in organizations. ... -
Arbitrability of Data Protection Disputes: Personal Data, Personalized Justice?
(Peer reviewed; Journal article, 2023)This article explores the interplay between international arbitration and data subject compensation claims under the General Data Protection Regulation (GDPR). The analysis focuses on the validity and enforcement of ... -
In complexity we trust: A systematic literature review of urban quantum technologies
(Peer reviewed; Journal article, 2023)Today's cities are facing increasingly complex challenges. The growing uncertainty and complexity—caused by the unremitted differentiation of social, environmental, and technological orders—call for novel ways of conceptualizing ... -
Organizational Structure and Artificial Intelligence. Modeling the Intraorganizational Response to the AI Contingency
(Peer reviewed; Journal article, 2022)Different and profound are the consequences of the further development of artificial intelligence (AI) on society. One of the manifestations of the upcoming changes is the plethora of novel ways in which companies may ... -
A Study on Firm Resilience During Covid-19: Investigating Capabilities that Enable Firms to Effectively Cope with Disruptions
(Master thesis, 2023)The purpose of this thesis is to examine the relationship of disruption orientation, proactive risk management, industry competition, financial capital, and diversified income stream on firm resilience in the context of ... -
The effect of market fear on mutual fund performance
(Master thesis, 2023)This study investigates the impact of market fear on mutual fund performance by analyzing a dataset of Norwegian funds spanning from 2000 to 2022. Our research reveals that mutual funds tend to underperform during periods ... -
The Impact of Abnormal Accruals on Earnings Surprise and the Performance of Firms Listed on the Oslo Stock Exchange
(Master thesis, 2023)This study examines the effect of abnormal accruals on market valuation of earnings surprises and the reversal implications of abnormal working capital accruals for firms listed on the Oslo Stock Exchange. We hypothesize ... -
Unveiling the Dynamics of Stock Illiquidity: Exploring Key Stock Characteristics and their Significance
(Master thesis, 2023)This paper explores the use of machine learning models to predict what characteristics affect illiquidity in stocks using historical data. The paper uses thirteen different regressions, exploring the effects of 43 ... -
Urban quantum leap: A comprehensive review and analysis of quantum technologies for smart cities
(Peer reviewed; Journal article, 2023)Contemporary smart city solutions rely on standardized von Neumann architecture, in which single data units are coded as “0” or “1.” Conversely, urban quantum technologies rely on the fundamental principles of quantum ... -
How have the health effects of COVID-19 impacted municipal bond liquidity and trading activity?
(Master thesis, 2023)This paper examines the impact of the COVID-19 pandemic’s health effects on the municipal bond market. We analyze liquidity and trading activity measures, and how they correlate with COVID-19 health variables. The goal ... -
Forecasting Implied Volatility Returns for At-The-Money Currency Options Using Machine Learning
(Master thesis, 2023)This paper explores the use of machine learning models to predict what characteristics affect illiquidity in stocks using historical data. The paper uses thirteen different regressions, exploring the effects of 43 ... -
Forskningsfronten på megaprosjekter: Hvor står vi?
(Forskningsrapport, BI;, Research report, 2024) -
The consumption expenditure response to unemployment: Evidence from Norwegian households
(Journal article; Peer reviewed, 2024)This paper examines heterogeneity in household income and consumption responses to unemployment, using granular administrative tax data from Norway. On average, unemployment results in a significant, lasting income reduction, ...