Tackling upcoming projects: The development and efficacy of event previews an experimental study.

Traditional performance management systems are increasingly seen as ill-conceived for today's dynamic organizational landscape. Researchers and practitioners advocate for agile PM systems that emphasize continuous monitoring, learning, and feedback. We present the 'event preview', a novel approach that is designed to address several shortcomings of traditional performance management practices. Event previews consist of five fixed questions, which are discussed among team members before an event, instigating a detailed reflection and mental simulation of upcoming events or projects in order to achieve the desired outcomes. In doing so, event previews support teams to utilize their projects as learning opportunities. This study provides the theoretical basis for the event preview and empirically tests its effectiveness. A sample of 119 teams participated in the experiment in which they were asked to solve as many puzzles as possible within a fixed time frame. One condition conducted an event preview beforehand, the other condition did not. Our findings, which were based on a comparison of the averages of the two conditions, suggest that the event preview holds promise for improving team performance and communication. As such, the event preview presents an additional instrument to the changing performance management landscape. This simple practice can be incorporated in the performance management cycle, emphasizing adaptability and continuous improvement in organizations.

Transient population dynamics in periodic matrix models: methodology and effects of cyclic permutations.

Many biological populations are subject to periodically changing environments such as years with or without fire, or rotation of crop types. The dynamics and management options for such populations are frequently investigated using periodic matrix models. However the analysis is usually limited to long-term results (asymptotic population growth rate and its sensitivity to perturbations of vital rates). In non-periodic matrix models it has been shown that long-term results may be misleading as populations are rarely in their stable structure. We therefore develop methods to analyze transient dynamics of periodic matrix models. In particular, we show how to calculate the effects of perturbations on population size within and at the end of environmental cycles. Using a model of a weed population subject to a crop rotation, we show that different cyclic permutations produce different patterns of sensitivity of population size and different population sizes. By examining how the starting environment interacts with the initial conditions, we explain how different patterns arise. Such understanding is critical to developing effective management and monitoring strategies for populations subject to periodically recurring environments.