What Makes You Proactive Can Burn You Out: The Downside of Proactive Skill Building Motivated by Financial Precarity and Fear

Proactivity at work is generally assumed to be preceded by positive motivational states with positive outcomes for employees. However, recent perspectives suggest downsides to proactive behavior, including that it can be driven by negative emotions or experienced as depleting for employees. Bringing these previously disconnected ideas together, we utilize cognitive–motivational–relational and self-determination theories to holistically examine the negative antecedents of proactivity and its outcomes. We argue that employees, particularly those with high impression management motives, experience burnout when financial precarity and fear drive them to proactively learn new skills. We test and show support for these hypotheses in a four-wave study of 1, 315 university employees during the beginning of the COVID-19 pandemic, an external event that threatened employees’ financial security. Theoretically, our findings broaden our understanding of the antecedents and consequences of proactivity, while expanding the role of fear at work beyond “flight” responses to include motivating protective effort. Practically, our findings help to understand both how employees proactively develop their skills in light of financial precarity and how these proactive efforts are experienced as depleting

Terrestrial very-long-baseline atom interferometry : Workshop summary

This document presents a summary of the 2023 Terrestrial Very-Long-Baseline Atom Interferometry Workshop hosted by CERN. The workshop brought together experts from around the world to discuss the exciting developments in large-scale atom interferometer (AI) prototypes and their potential for detecting ultralight dark matter and gravitational waves. The primary objective of the workshop was to lay the groundwork for an international TVLBAI proto-collaboration. This collaboration aims to unite researchers from different institutions to strategize and secure funding for terrestrial large-scale AI projects. The ultimate goal is to create a roadmap detailing the design and technology choices for one or more kilometer--scale detectors, which will be operational in the mid-2030s. The key sections of this report present the physics case and technical challenges, together with a comprehensive overview of the discussions at the workshop together with the main conclusions.Peer reviewe