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    Affective event theory and work stress: A nationally representative survey study among Norwegian leaders

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    Masteroppgave(MSc) in Master of Science in Leadership and Organizational Psychology - Handelshøyskolen BI, 2024/ Masteroppgave(MSc) in Master of Science in Business, Leadership and Change - Handelshøyskolen BI, 2024This study explores the intricate dynamics between workplace stressors and their impact on Norwegian leaders' affectivity, job satisfaction, and job commitment through Affective Events Theory (AET). The research used quantitative data from an AFF leader investigation survey of Norwegian leaders in 2011, with 2910 managers responding. Utilizing a comprehensive survey and structural equation modeling, the study examines the effects of role stress, work-life conflict, time pressure, workload, and emotional strain on leaders' emotional states and subsequent job outcomes. The results reveal that role stress, work-life conflict, and emotional strain significantly elevate negative affectivity among leaders. In contrast, time pressure and workload enhanced positive affectivity, suggesting deadlines and workloads may be perceived as challenges rather than hindrances. Contrary to expectations, time pressure did not significantly increase negative affectivity, highlighting the nuanced ways different stressors impact leaders' emotions. Positive affectivity was found to substantially boost job satisfaction and commitment, whereas negative affectivity primarily diminished job satisfaction without significantly affecting job commitment. These results underscore the importance of managing workplace stressors to foster a positive emotional environment, thereby enhancing leaders' job satisfaction and organizational commitment. The study underscores the need for targeted interventions to mitigate stressors and promote positive affectivity among leaders, including stress management programs and work-life balance initiatives. By addressing these issues, organizations can improve leadership well-being and overall organizational effectiveness. This research contributes to understanding how workplace stressors affect leadership dynamics within a Norwegian leadership context, offering practical implications for organizational initiatives to enhance leader well-being and performance. Keywords: Workplace Stressors, Norwegian Leaders, Affective Events Theory (AET), Affectivity, Job Satisfaction, Job Commitment, Role Stress, Work-Life Conflict, Emotional Strain, Leadership Well-Being

    The Paradox of Inclusion in Elite Workforce Differentiation Practices: Harnessing the Genius Effect

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    We examine the assumption that making workforce differentiation practices more inclusive will cause employees to react more positively. We identify a fundamental ‘paradox of inclusion’, where practices designed to be more inclusive may in fact decrease employees' perceived inclusion. Drawing on social comparison theory and the ‘genius effect’ – using talent management practices as an empirical case – we found that both employees identified as ‘talents’ and ‘non-talents’ reacted more favourably to exclusive, secretive practices than to inclusive, transparent practices. Across four studies, we ran experiments testing managers' assumptions about employee reactions to talent practices (Study 1; N = 179); the reactions of ‘non-talents’ (Study 2; N = 576); the reactions of ‘talents’ (Study 3; N = 306); and conducted a field study (Study 4; N = 402). Managers' preferences for more inclusive practices were guided by their assumption that non-talents would react more positively to them. Non-talents, in fact, reacted more negatively to more inclusive practices in terms of envy, organization-based self-esteem, turnover intentions, and perceived inclusion. Keeping talent status a secret from employees buffered negative reactions. Based on these findings, we identify paradoxes inherent to workforce differentiation and extend theorizing on the tension between exclusive and inclusive practices within organizations.publishedVersio

    Uncertainty, expertise, and persuasion: A replication and extension of Karmarkar and Tormala (2010)

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    If you are trying to persuade someone, expressing your opinion with certainty intuitively seems like a good strategy to maximize your influence. However, Karmarkar and Tormala (2010) found that the effectiveness of this tactic depends on expertise. In three experiments, Karmarkar and Tormala found support for an incongruity hypothesis, whereby non-expert sources can gain interest and influence by expressing certainty, while expert sources can increase persuasion by expressing uncertainty. In this Registered Report, we conducted a high-powered (N = 1018) direct replication of Experiment 2 by Karmarkar and Tormala (2010). In a consumer behaviour context, the original study examined whether source expertise moderated the positive effect of source certainty on the persuasive impact of a restaurant recommendation. The present replication failed to find support for the incongruity hypothesis, ηp2 = 0.00 [0.00, 0.02]: expressing certainty had a positive but non-significant effect for non-experts, d = 0.10 [−0.10, 0.34], and a positive effect for experts, d = 0.28 [0.03, 0.52]. Instead, the results supported the competing confidence heuristic hypothesis that expressed certainty would have a positive effect on persuasion, irrespective of source expertise, d = 0.18 [0.01, 0.36]. Extending the original work, we (1) controlled for the reason given for (un)certainty, and (2) examined need for closure as a potential individual difference moderator. The results indicated robust support for the confidence heuristic d = 0.25, [0.12, 0.37], but neither reason for (un)certainty nor need for closure moderated the effect as hypothesized. All materials, data, and code are available on: https://osf.io/hbjyv/.publishedVersio

    Nowcasting Norwegian household consumption with debit card transaction data

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    We use a novel data set covering all domestic debit card transactions in physical terminals by Norwegian households, to nowcast quarterly Norwegian household consumption. These card payments data are not subject to revisions and are available weekly without delays, providing a valuable early indicator of household spending. To account for mixed-frequency data, we estimate various quantile mixed-data sampling (QMIDAS) regressions using predictors sampled at monthly and weekly frequency. We evaluate both point and density forecasting performance over the sample 2011Q4–2019Q4. Our results show that MIDAS regressions with debit card transactions data improve both point and density forecast accuracy over competitive standard benchmark models that use alternative high-frequency predictors. Finally, we illustrate the benefits of using the card payments data by obtaining a timely and relatively accurate nowcast of 2020Q1, a quarter characterized by heightened uncertainty due to the COVID-19 pandemic. We further show how debit card data have been useful in nowcasting consumption during the four subsequent quarters.publishedVersio

    Profit Motives, Environmental Motives, and Perceived Corporate Greenwashing Revisited: A Replication and Extension of de Vries et al. (2015)

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    As the climate change crisis has become more evident, a growing number of businesses and organizations have gotten involved in sustainability efforts. But not all corporate sustainability efforts are applauded: sometimes the public accuses companies of greenwashing, i.e., overstating the extent to which the company is environmentally friendly. There is little research on the factors that influence perceived greenwashing amongst the public. Here, we report a replication and extension of one of the few studies of this topic, Experiment 2 in de Vries et al. (2015, https://doi.org/10.1002/csr.1327). The original study found that people perceived more greenwashing when an oil company communicated an environmental motive for a sustainability investment (carbon capture and storage), as opposed to a profit motive, d = 0.98 [0.37, 1.59]. The present pre-registered replication (n = 516) did not find support for this effect, with very little difference in perceived greenwashing depending on communicated motive, d = -0.09 [-0.38, 0.21]. As extensions, we included a condition where a mixed motive (both environment and profits) was communicated, tested the effect using a different type of company than the original, included a measure of general attitudes to the company in addition to perceived greenwashing, and included measures of individual differences in attitudes towards corporate social responsibility and belief in climate change. The most noteworthy exploratory finding was that attitudes were more positive when an environmental or a mixed motive was communicated rather than a profit motive.publishedVersio

    Determinants of digital well-being

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    How can people lead fulfilling lives both thanks to and despite the constant use of digital media and artificial intelligence? While the prevailing narrative often portrays these technologies as generally harmful to well-being, the reality is of course more nuanced—some individuals benefit, while others do not. Existing research has predominantly focused on the general consequences of digital media on well-being, with less attention given to the individual-level antecedents of digital well-being. In the present study, we aimed to identify the traits and characteristics of individuals who use digital tools in ways that promote their well-being. Using a large representative sample from Sweden (N = 1999), we explore how digital self-control, digital literacy (objective and subjective), and digital information ignorance predict digital well-being, life satisfaction, and social anxiety. Digital self-control and subjective digital literacy positively predicted digital well-being. Digital self-control also predicted greater life satisfaction. Finally, digital information ignorance predicted increased life satisfaction and social anxiety. Overall, the current study contributes to a growing literature on digital well-being by exploring its antecedents.publishedVersio

    Shift of Vietnamese Consumer E-purchasing Behavior During and After Covid-19 Pandemic

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    Purposes: The study aimed at examining the impact of the COVID-19 pandemic on the shift of online consumer purchasing behavior and whether the new behaviors would be maintained after the epidemic season. The study also aims to investigate how online customers change based on perceived risks. Research design and Methodology: The study investigated purchasing behavior of the same 377 online Vietnamese consumers during two periods: (1) during the period of social distancing and (2) one and half year after that, allowing data to be collected in real time, so that consumers do not have to recall their behavior. Results: Purchasing behavior appeared to be more influenced by gender, age and household size. Aged consumers are more concerned about risks than those in the younger group, who only worry about the risks during the pandemic. Consumers in households with two or more people are more concerned about the risks than those living alone. Female appeared to be more influential in both during and after pandemic than male. Conclusions: The findings contribute to clarify shift of online consumer purchasing behavior, which helps business to develop effective marketing strategies and enhance their presence in the e-commerce sector.publishedVersio

    The evolution and disintegration of innovation narratives during scaling in science-based ventures

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    Science-based ventures (SBVs) are crucial vehicles that bring new technologies from the lab and to the mainstream market. During this journey, innovation narratives play a crucial role in coordinating innovation. Innovation narratives are linguistic representations that actors use to make sense of innovation activities, events and actions. In other words, they are stories that drive sensemaking, which is a critical element in avoiding conflicts in product innovation process and securing coordinated activities between diverse actors. However, as SBVs shift markets and undergo radical changes, they may have to update narratives to fit these changes. Yet, little is known about how innovation narratives and coordination evolve during this journey. To improve knowledge on this matter, I conducted a 24-month study of a science-based venture crossing over to a commercial market. I find that during this transition, innovation narratives shift from being shaped by progressive storytelling, where the benefits of becoming commercial and hiring nonacademics is highlighted, to being shaped by retrogressive storytelling, where incumbents and newcomers use their respective pasts to develop divergent narratives, and finally to appearing as disintegrated storytelling, where narratives compete and hinder coordination in innovation processes. Building on these findings, I construct a process model of how innovation narratives evolve and disintegrate as SBVs scale. This article contributes to knowledge on innovation management by illustrating how innovation narratives affect coordination in innovation processes, as well as how they may evolve during organizational change. Furthermore, this article illuminates the challenges that SBVs face to their innovation processes when scalingpublishedVersio

    Complexity analysis of integrated dynamic lot sizing and maintenance planning problems

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    We consider a problem where the planning decisions of producing on and maintaining a single machine are integrated. The age of the machine, and thus when maintenance should be performed, is influenced by the production decisions. Decisions are taken on a planning horizon discretized in periods. The computational complexity of several variants of the single-item problem are studied depending on whether (i) Maintenance can be performed on the machine at any point in time in a period or must be performed at the end of a period, (ii) There is a fixed aging component when starting production, and (iii) There is a minimum age before maintenance can be performed on the machine. The multi-item case is proved to be NP-hard.acceptedVersio

    The Gender Investment Gap over the Life Cycle

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    Single women invest less in risky assets than do single men. This paper analyzes the determinants of the “gender investment gap” based on a structural life-cycle framework. The model can rationalize the gender investment gap without gender heterogeneity in preferences. Rather, lower deterministic income and larger household sizes shift the composition of single women toward poorer households that invest less risky (composition effect). Additionally, future outcomes of both variables (which cannot easily be controlled for in regressions) make single women more vulnerable to financial shocks and decrease their optimal equity share even conditional on state variables (policy effect).publishedVersio

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