BI Open (Norwegian Business School)
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SPEAKING OF INFLATION: THE INFLUENCE OF FED SPEECHES ON EXPECTATIONS
We examine how speeches by Federal Open Market Committee (FOMC) members, including regional Fed presidents, shape private sector expectations. Speeches that signal rising inflationary pressures prompt both households and professional forecasters to raise their inflation expectations, consistent with Delphic effects. Only professional forecasters respond to Odyssean communications—statements about the Fed’s intended policy response—leaving Delphic effects as the dominant channel for households. These household responses are driven by speeches from regional presidents, likely due to greater visibility in regional media coverage. A general equilibrium model, featuring agents who differ in their ability to interpret Odyssean signals, explains this heterogeneity
Studying short-term rental platform perceptions and use through a digital inequality lens
Short-term rental (STR) platforms hold promise for promoting inclusive tourism, although the digital divide risks barring certain groups from reaping these benefits. Existing research has analyzed the impacts of STR platforms but there is a lack of evidence on impact perceptions, especially as they relate to socio-demographic variables. To address this shortcoming and using digital inequality theory, we report the results of a survey in the United States and the United Kingdom. We find that age is a significant factor in shaping perceptions and engagement with STR platforms. Younger individuals have a more positive outlook toward STRs and are more likely to use them. Education and income also influence STR use. American respondents generally had more positive perceptions of STR impacts yet showed less engagement with the platforms than their British counterparts. These insights can inform strategies to mitigate digital inequalities and optimize the inclusivity of STR platforms.Studying short-term rental platform perceptions and use through a digital inequality lenspublishedVersio
Testing the zero-process of intraday financial returns for non-stationary periodicity
Testing the zero-process of intraday financial returns for non-stationary periodicitypublishedVersio
Comparative privacy research: Literature review, framework, and research agenda
The ways in which privacy is understood, defined, perceived, and enacted are contingent on cultural, social, political, economic, and technological settings. Yet, privacy research is often criticized for not adequately accounting for these. A comparative perspective requires the contextualization of privacy through investigating similarities and differences across contexts. This article outlines the Comparative Privacy Research Framework, which involves (a) scrutinizing one’s position (of power) and epistemological biases, (b) assessing the comparability of the object under study, (c) identifying and justifying meaningful units of comparison, and (d) reflecting on how these units of comparison interact in shaping privacy. We conclude by proposing a comparative privacy research agenda that informs efforts in privacy regulation, education, and research.Comparative privacy research: Literature review, framework, and research agendapublishedVersionpublishedVersio
Add on or move on: Do in-game purchases help or hurt upgrading to newer game versions?
Video game players frequently face trade-offs between investing in in-game purchases to improve their currently owned game version and upgrading to a newer, improved version altogether. This decision is significant, as upgrading usually implies losing all acquired in-game items, which are typically incompatible with the newer game version. From the game publisher’s perspective, in-game purchases may deter upgrading and cannibalize newer game versions. However, these purchases may also increase game usage, making upgrading more likely. We consider these two paths with opposite effects. We use over four years of longitudinal data from a major video game publisher, containing individual players’ gaming, in-game purchasing, and upgrading behavior. We find evidence for both paths, with a stronger negative path for cannibalization and a weaker positive path via increased game usage. Furthermore, the net effect of in-game purchases on upgrading is contingent on two salience-related moderators, with recency of in-game purchases reinforcing the positive path and buzz about an upcoming game version attenuating the negative and reinforcing the positive path.publishedVersio
Relational Work in Motion: Navigating Romantic Relationships as Digital Nomads
Digital nomads (DNs) employ digital tools to work remotely while traveling, allowing them to explore various locations without having the constraints of a single workplace. This research focusses on the perceived challenges of DNs in forming and maintaining romantic relationships. Through participant observation, 20 in-depth interviews with DNs, and an analysis of the r/digitalnomad sub-reddit, this study explores: 1) how DNs explain their experience with romantic relationships in relation to their lifestyle; 2) how they deal with the difficulties of forming and maintaining romantic relationships. Guided by relational work and inter-role conflict theories, we identify four conflict types of within DNs' romantic relationships: attitude-based, location-based, time-based, and money-based. To address these conflicts, our interviewees used resource conservation, segmentation, and compensation mechanisms. The paper also discusses DNs' strategies for finding new romantic partners, such as attending DN events organised via social media groups to connect with fellow DNs, as many believed that finding a partner who was also a DN would be ideal to keep their lifestyle and not to have to reduce their mobility patterns. Moreover, DNs engaged with locals through meetups and dating apps. In existing romantic relationships, technology played an important role by enabling connectedness between partners that might be in different locations. Higher levels of communication were also key to maintaining romantic relationships and negotiating boundaries. Our findings highlight the prioritisation of the lifestyle over romantic comRelational Work in Motion: Navigating Romantic Relationships as Digital NomadspublishedVersio
Koronapandemien i en makroøkonomisk modell
De store variasjonene i viktige økonomiske størrelser under koronapandemien utgjør en utfordring for modeller som tallfestes på historiske tidsserier. I denne artikkelen presenterer vi en pragmatisk løsning på hvordan pandemiperioden kan håndteres i en DSGE-modell for norsk økonomi. Vi introduserer sjokk i den makroøkonomiske modellen NORA som kun får være aktive i pandemiårene. Med denne tilnærmingen kan vi analysere de relative bidragene fra ulike drivere av svingninger i økonomisk aktivitet under pandemien. Vi viser at å ikke ta hensyn til pandemispesifikke sjokk kan lede til en feilvurdering av de økonomiske konsekvensene av innretningen av finanspolitikken. Dette gjør vi ved å se på hvordan en permanent økning i merverdiavgiftssatsen slår ut i økonomisk aktivitet. I en modell uten pandemispesifikke sjokk undervurderes den økonomiske kostnaden med en faktor på fire.Koronapandemien i en makroøkonomisk modellpublishedVersio
Increasing circularity: The importance of resource interactions when adapting from waste management to resource management
The circular economy, which entails a fundamental transition from waste management to resource management, involves waste minimization and prolonged resource utility. Resources should arguably be managed in a manner reducing the likelihood that they turn into waste. Correspondingly, waste should be managed in a way increasing the likelihood that it becomes a useful resource. To achieve such ends, this research highlights the bundled nature of resources (including waste). The study is based on an abductive research process and it de-bundles the resource categories portrayed in the 4R model. The de-bundled framework is applied to a longitudinal case study focusing on a recycling company's participation in the circular economy. This application results in distinctions between endogenous and exogenous adaptation strategies. Endogenous adaptations involve an explicit bundle awareness and attention to interaction processes within 4R resource categories, exogenous adaptations include interaction processes between 4R categories. It is proposed that adaptations involving deliberate tradeoffs between endogenous and exogenous strategies may lead to more circular business models and sustainable resource management.publishedVersio
Neo-Luddites, Unite! Worker Resistance in an Era of Real Dystopian Threats
Taking Brian Merchant’s rewriting of the history of the Luddites in his book Blood in the Machine: The origins of the rebellion against big tech (2023) as a point of departure, in this media review we discuss what a renewed, more radical hope for the future of work might look like in an era faced by ‘real dystopian’ threats such as mass automation, algorithmic control and neo-Taylorism (Killoran & Park, 2025).publishedVersionpublishedVersio
Generative AI framework for sensory and consumer research
Generative artificial intelligence (GenAI) technologies, including ChatGPT, offer innovative capabilities in sensory and consumer science. Recent empirical studies in sensory and consumer science highlight the potential utility of GenAI in, for example, AI-generated food images and recipes. To the best of our knowledge, this is the first paper to propose a comprehensive framework for integrating GenAI into research and development in sensory and consumer science. The framework highlights how GenAI can be applied across the concept, design, and testing phases through an iterative process. The concept phase utilises GenAI to generate research concepts (e.g., proposing ideas such as research questions and hypotheses). The design phase employs GenAI to formulate research designs. During this stage, GenAI assists with creating and validating survey/experimental stimuli and measurement scales. The testing phase applies GenAI to evaluate research ideas and designs by employing “silicon samples,” interactive surveys that enhance engagement and response quality. In the testing phase, GenAI can also analyse unstructured text data, offering more accurate and scalable text analysis than traditional methods, even across diverse languages and cultures. This study also acknowledges potential pitfalls, such as biases in AI outputs, data privacy and security concerns, oversimplification, lack of transparency, and GenAI user misperception. This article encourages greater integration of GenAI by highlighting its potential for the sensory and consumer science community, while addressing its limitations and ensuring adherence to high ethical standardspublishedVersio