This study investigated temporal changes in movement strategy and performance during fatiguing short-cycle work. Eighteen participants performed six 7-min work blocks with repetitive reaching movements at 0.5 Hz, each followed by a 5.5-min rest break for a total duration of 1 h. Electromyography (EMG) was collected continuously from the upper trapezius muscle, the temporal movement strategy and timing errors were obtained on a cycle-to-cycle basis, and perceived fatigue was rated before and after each work block. Clear signs of fatigue according to subjective ratings and EMG manifestations developed within each work block, as well as during the entire hour. For most participants, timing errors gradually increased, as did the waiting time at the near target. Changes in temporal movement strategy were negatively correlated with changes in the level and variability of EMG, suggesting that an adaptive temporal strategy offset the development of unstable motor solutions in this fatiguing, short-cycle work.Practitioner Summary: Sustained performance of operators is essential to maintain competitiveness. In this study of repetitive work, participants gradually changed their temporal movement strategy, for possibly alleviating the effects of fatigue. This suggests that in order to effectively counteract fatigue and sustain performance, industrial production should allow extensive spatial and temporal flexibility.
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The aim of this paper is to understand how employees, in their role of follower of change, frame upcoming change by studying the prospective stories they tell (n=110). This study complements the dominant retrospective approach to the research of employees’ change sensemaking. We incorporate forward-looking awareness into organization theories and add to the scholarly interest in prospection (Gioia & Patvardhan, 2018). This could lead to a better understanding of followers’ adaptation- or rejection intentions in response to change initiatives (Konlechner et al., 2018). Theoretical background Employees experience continuous shifts in relationships and organizational roles (Van der Smissen et al., 2013). This ‘turbulence’ triggers intensive sensemaking (Weick, 1995) of what is going on and how to respond. In uncertain times, employees often form expectations towards the future based on their remembered experiences from the past, and organizational change literature has traditionally taken a retrospective approach to understand followers’ change sensemaking (Boje, 2008). However, traditional literature neither provides elaborate insight in followers’ attempts to build scenarios for their future, nor do they add to the understanding of followers’ hopes, dreams, concerns, or fears (which all have a future time orientation) in the context of upcoming change. Scholars suggested that the current radical changes employees face cannot be anticipated easily from a mere retrospective approach (MacKay & Chia, 2013). In reality, employees think as often about their future as they do about their past and tend to create complex, temporal ranges of future orientations (Klein, 2013). Hence, researchers have critiqued the omission of the possible impact of beliefs and expectations about the future (e.g., Kaplan & Orlikowski, 2013), and have developed complementary notions to develop temporal sensemaking to challenge us to “mentally reverse the arrow of time” (Lord et al., 2013, p. 4) by focusing on expected futures to understand the present. The acknowledgement of prospective sensemaking directing attitudes and behaviors today (Maitlis & Christianson, 2014), expectedly offers novel insights to those interesting in understanding employees’ change behaviors. Design/Methodology/Approach/Intervention. A narrative approach is used to capture 110 individuals’ idiosyncratic and cultural sensemaking efforts (Pentland, 1999). We created a digital research set-up in which participants were guided to write a narrative that resembles a biographical account about a fictive colleague. Participants were introduced to the task by a video message from the fictive focal actor “Jim” and a video announcement of upcoming change by a fictive CEO in a Zoom-call for the entire organization. By means of the Story Completion Method, participants were asked “how does the story end?” and invited to write subsequent chapters on how they expected this story to continue, and how the roles and responses of the different actors would unfold along the way. Research context is provided by the Dutch travel industry in which organizations are dealing with heavy consequences of the COVID19 pandemic. Results will be available by November 2021. Limitations Qualitative research is less generalizable given the sample size and scope. Besides, the method requires specific skills and a level of empathy with the scenario, this proved to be difficult for some of the participants. In our analysis we therefore have to account for a difference between prospective sensemaking efforts and mere extrapolations of past experiences. Research/Practical Implications This study reveals potentialities that are considered to be available in the future. For change leaders, it is helpful to understand these potentialities as they reveal explanations for differences in followers’ prospective change strategies, and diverse anticipative responses to change efforts. We extend the concept of prospective sensemaking, and explore its use in a follower-based, dynamic context of organizational change. Originality/Value Advancing the concept of follower-based prospective sensemaking is important as it could provide explorative notions that illustrate the formation and use of expectations. Especially interesting is the context Dutch travel industry context as employees at the time of data collection experienced a ‘cosmology episode’ triggering sudden loss of meaning and coherence. This is perceived to be a critical trigger for sensemaking in the absence of past empirical experience (as no one experienced a pandemic and resulting business challenges before, but rather relies on transcendent belief systems in the face of future uncertainty (Weick, 1993)).
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Background: Everyday exposure to radiofrequency electromagnetic fields (RF-EMF) emitted from wireless devices such as mobile phones and base stations, radio and television transmitters is ubiquitous. Some people attribute non-specific physical symptoms (NSPS) such as headache and fatigue to exposure to RF-EMF. Most previous laboratory studies or studies that analyzed populations at a group level did not find evidence of an association between RF-EMF exposure and NSPS. Objectives: We explored the association between exposure to RF-EMF in daily life and the occurrence of NSPS in individual self-declared electro hypersensitive persons using body worn exposimeters and electronic diaries. Methods: We selected seven individuals who attributed their NSPS to RF-EMF exposure. The level of and variability in personal RF-EMF exposure and NSPS were determined during a three-week period. Data were analyzed using timeseries analysis in which exposure as measured and recorded in the diary was correlated with NSPS. Results: We found statistically significant correlations between perceived and actual exposure to wireless internet (WiFi - rate of change and number of peaks above threshold) and base stations for mobile telecommunications (GSM+UMTS downlink, rate of change) and NSPS scores in four of the seven participants. In two persons a higher EMF exposure was associated with higher symptom scores, and in two other persons it was associated with lower scores. Remarkably, we found no significant correlations between NSPS and timeweighted average power density, the most commonly used exposure metric. Conclusions: RF-EMFexposure was associated either positively or negatively with NSP Sinsome but not all of the selected self-declared electro hypersensitive persons. https://doi.org/10.1016/j.envint.2018.08.064
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INXCES will use and enhance innovative 3D terrain analysis and visualization technology coupled with state-of-the-art satellite remote sensing to develop cost-effective risk assessment tools for urban flooding, aquifer recharge, ground stability and subsidence. INXCES will develop quick scan tools that will help decision makers and other actors to improve the understanding of urban and peri-urban terrains and identify options for cost effective implementation of water management solutions that reduce the negative impacts of extreme events, maximize beneficial uses of rainwater and stormwater for small to intermediate events and provide long-term resilience in light of future climate changes. The INXCES approach optimizes the multiple benefits of urban ecosystems, thereby stimulating widespread implementation of nature-based solutions on the urban catchment scale.INXCES will develop new innovative technological methods for risk assessment and mitigation of extreme hydroclimatic events and optimization of urban water-dependent ecosystem services at the catchment level, for a spectrum of rainfall events. It is widely acknowledged that extreme events such as floods and droughts are an increasing challenge, particularly in urban areas. The frequency and intensity of floods and droughts pose challenges for economic and social development, negatively affecting the quality of life of urban populations. Prevention and mitigation of the consequences of hydroclimatic extreme events are dependent on the time scale. Floods are typically a consequence of intense rainfall events with short duration. In relation to prolonged droughts however, a much slower timescale needs to be considered, connected to groundwater level reductions, desiccation and negative consequences for growing conditions and potential ground – and building stability.INXCES will take a holistic spatial and temporal approach to the urban water balance at a catchment scale and perform technical-scientific research to assess, mitigate and build resilience in cities against extreme hydroclimatic events with nature-based solutions.INXCES will use and enhance innovative 3D terrain analysis and visualization technology coupled with state-of-the-art satellite remote sensing to develop cost-effective risk assessment tools for urban flooding, aquifer recharge, ground stability and subsidence. INXCES will develop quick scan tools that will help decision makers and other actors to improve the understanding of urban and peri-urban terrains and identify options for cost effective implementation of water management solutions that reduce the negative impacts of extreme events, maximize beneficial uses of rainwater and stormwater for small to intermediate events and provide long-term resilience in light of future climate changes. The INXCES approach optimizes the multiple benefits of urban ecosystems, thereby stimulating widespread implementation of nature-based solutions on the urban catchment scale.
As climate change accelerates, rising sea levels pose challenges for low-lying nations like the Netherlands. Floating developments (such as homes, solar parks, and pavilions) are considered the most climate adaptative solution for the future, but the effects on the environment are unknown which is holding back this floating transformation. Since public and private partners are not able to answer questions on the effect of floating urbanisation on the environment and water quality based on speculations by models without field data, permits are given only after proof that ecological & water quality will not affected (also EU warnings ‘deteriorating’ water quality (UvW 2025, EU 2025). This proposal aims to develop an innovative autonomous docking station for aquatic drones, enhancing environmental monitoring of floating structures. Only a few monitoring campaigns measured the impact of small floating structures (small structures and only basic parameters). Traditional monitoring methods rely on manual sampling and static sensors, which are costly, labour-intensive, and provide delayed results. A new study, led by Hanze with Gemeente Rotterdam, Waternet (Gemeente Amsterdam) and Indymo, will assess the impact of new large-scale floating developments with a new method. Autonomous aquatic drones improve data resolution but face operational challenges such as battery life and data retrieval. An innovating docking station will address these issues by enabling drones to recharge, offload data, and perform continuous missions without human intervention. Advanced tools—including aquatic drones, 360-degree cameras, sonar imaging, and real-time sensors—will collect high-resolution environmental data also monitoring biodiversity and bathymetry. The proposed docking station will support real-time sensor networks, allowing for spatial and temporal data collection. It will improve the (cost) efficiency and quality of long-term environmental monitoring, providing insights into water quality dynamics and underwater ecosystems in Rotterdam and Amsterdam as an international example of floating development in the battle of climate change.
Performance feedback is an important mechanism of adaptation in learning theories, as it provides one of the motivations for organizations to learn (Pettit, Crossan, and Vera 2017). Embedded in the behavioral theory of the firm, organizational learning from performance feedback predicts the probability for organizations to change with an emphasis on organizational aspirations, which serve as a threshold against which absolute performance is evaluated (Cyert and March 1963; Greve 2003). It postulates that performance becomes a ‘problem’, or the trigger to search for alternative procedures, strategies, products and behaviors, when performance is below that threshold. This search is known as problemistic search. Missing from this body of research, is empirically grounded understanding if the characteristics of performance feedback over time matter for the triggering function of the feedback. I explore this gap. This investigation adds temporality as a dimension of the performance feedback concept guided by a worldview of ongoing change and flux where conditions and choices are not given, but made relevant by actors and enacted upon (Tsoukas and Chia 2002). The general aim of the study is to complement the current knowledge of performance feedback as a trigger for problemistic search with an explicit process temporal approach. The main question guiding this project is how temporal patterns of performance feedback influence organizational change, which I answer in four chapters, each zooming into one sub-question.First, I focus on the temporal order of performance feedback by examining performance feedback and change sequences organizations go through. In this section time is under study and the goal is to explore how feedback patterns have evolved over time, just as the change states organizations pass through. Second, I focus on the plurality of performance feedback by investigating performance feedback from multiple aspiration levels (i.e. multiple qualitatively different metrics and multiple reference points) and how over time clusters of performance feedback sequences have evolved. Next, I look into the rate and scope of change relative to performance feedback sequences and add an element of signal strength to the feedback. In the last chapter, time is a predictor (in the sequences), and, it is under study (in the timing of responses). I focus on the timing of organizational responses in relation to performance feedback sequences of multiple metrics and reference points.In sum, all chapters are guided by the timing problem of performance feedback, meaning that performance feedback does not come ‘available’ at a single point in time. Similarly to stones with unequal weight dropped in the river, performance feedback with different strength comes available at multiple points in time and it is plausible that sometimes it is considered by decision-makers as problematic and sometimes it is not, because of the sequence it is part of. Overall, the investigation is grounded in the general principles of organizational learning from performance feedback, and the concept of time as duration, sequences and timing, with a focus on specification of when things happen. The context of the study is universities of applied sciences and hotels in The Netherlands. Project partner: Tilburg University, School of Social and Behavioral Sciences, Department of Organization Studies
