Team turnover and task conflict: A longitudinal study on the moderating effects of collective experience

Team turnover can be harmful to a team in many ways. This study examined whether a team’s collective experience (team organizational tenure) attenuates the association between team turnover and task conflict changes. Differing from prior research, our study used a longitudinal design to assess the effects of team turnover, accounting for the competence of those leaving the team. We built on context-emergent turnover theory and tested a random coefficient growth model by utilizing data from 74 health-care teams. We found support for the hypothesized interaction: the more collective experience the team had, the less likely it was that team turnover associated with increases in task conflict. We discuss implications for theory and practice

Skill utilization and well-being: a cross-level story of day-to-day fluctuations and personal intrinsic values

The opportunity to use one's skills at work is an important prerequisite for employee well-being. Drawing on self-determination and person-environment fit theory, this diary study aims to add to our understanding of this important phenomenon in two ways. Firstly, we examine the associations of within-subject daily variations in skill utilization with well-being. Secondly, we model work value orientation as a between-subject factor that moderates this within-subject relationship. Specifically, we advocate that daily skill utilization is more beneficial (in terms of more daily work engagement and less daily emotional exhaustion) for employees holding predominantly intrinsic (i.e. self-development, community contribution) as opposed to extrinsic (i.e. financial success, status) values. Results of multilevel modelling using diary data from 99 service workers over five working days, supported the assumption that daily skill utilization was positively related to daily work engagement, particularly among employees holding a predominantly intrinsic work value orientation. Contrary to our expectations, daily skill utilization was unrelated to daily exhaustion, both for employees holding high and low intrinsic values. The discussion highlights the importance of, and employees’ receptiveness to, variations in beneficial working conditions

Pay level satisfaction and employee outcomes: the moderating effect of autonomy and support climates

The present study examined autonomy climate (AC) and support climate (SC) as moderators of the relationship between pay level satisfaction (PLS) and employee outcomes (i.e. job satisfaction, affective commitment and intention to stay). Survey data were collected from 5801 Belgian employees, representing 148 units. The hypotheses derived from distributive justice theory and from research on the meaning of money received partial support. Multilevel analyses revealed that AC buffered the negative effects of low PLS on all three outcomes, and that SC exacerbated the negative effects of low PLS on intention to stay. Theoretical and practical implications of this differential moderating effect are discussed

Bridging the multiple reality gap: Application of augmented reality in new product development

Increased product complexity and internal team dynamics pose serious challenges to the quality of collaboration, usually reflected upon long delays, cost overruns and poor design quality during product development. Our focus is to study the factors that drive collaboration, shared understanding and team learning in product development in order to investigate new tools to facilitate this process. The present paper provides the theoretical framework to experiment with novel collaborative tools like Augmented Reality in the product development setting. The core argument is that Augmented Reality technologies act as a catalyst to the communication between the various stakeholders. The main idea behind this work is a dynamic investigation on the nature of collaboration in product development teams, through a socio-cognitive lens. The basic focus of this work is to connect insights from the social sciences to collaborative design and visualization technologies. © 2011 IEEE

Plastic Hotspot Mapping in Urban Water Systems

Reducing plastic pollution in rivers, lakes, and oceans is beneficial to aquatic animals and human livelihood. To achieve this, reliable observations of the abundance, spatiotemporal variation, and composition of plastics in aquatic ecosystems are crucial. Current efforts mainly focus on collecting data on the open ocean, on beaches and coastlines, and in river systems. Urban areas are the main source of plastic leakage into the natural environment, yet data on plastic pollution in urban water systems are scarce. In this paper, we present a simple method for plastic hotspot mapping in urban water systems. Through visual observations, macroplastic abundance and polymer categories are determined. Due to its simplicity, this method is suitable for citizen science data collection. A first application in the Dutch cities of Leiden and Wageningen showed similar mean plastic densities (111–133 items/km canal) and composition (75–80% soft plastics), but different spatial distributions. These observations emphasize the importance of long-term data collection to further understand and quantify spatiotemporal variations of plastics in urban water systems. In turn, this will support improved estimates of the contribution of urban areas to the plastic pollution of rivers and oceans.Industrial EcologyEnvironmental Biolog

Coordination as a function of skill level in the gymnastics longswing

The purpose of this study was to investigate the nature of inter-joint coordination at different levels of skilled performance to: (1) distinguish learners who were successful versus unsuccessful in terms of their task performance; (2) investigate the pathways of change during the learning of a new coordination pattern and (3) examine how the learner’s coordination patterns relate to those of experts in the longswing gymnastics skill. Continuous relative phase of hip and shoulder joint motions was examined for longswings performed by two groups of novices, successful (n = 4) and unsuccessful (n = 4) over five practice sessions, and two expert gymnasts. Principal component analysis showed that during longswing positions where least continuous relative phase variability occurred for expert gymnasts, high variability distinguished the successful from the unsuccessful novice group. Continuous relative phase profiles of successful novices became more out-of-phase over practice and less similar to the closely in-phase coupling of the expert gymnasts. Collectively, the findings support the proposition that at the level in inter-joint coordination a technique emerges that facilitates successful performance but is not more like an expert’s movement coordination. This finding questions the appropriateness of inferring development towards a “gold champion” movement coordination

Human-water interface in hydrological modeling: Current status and future directions

Over the last decades, the global population has been rapidly increasing and human activities have altered terrestrial water fluxes at an unprecedented scale. The phenomenal growth of the human footprint has significantly modified hydrological processes in various ways (e.g., irrigation, artificial dams, and water diversion) and at various scales (from a watershed to the globe). During the early 1990s, awareness of the potential water scarcity led to the first detailed global water resource assessments. Shortly thereafter, in order to analyse the human perturbation on terrestrial water resources, the first generation of large-scale hydrological models (LHMs) was produced. However, at this early stage few models considered the interaction between terrestrial water fluxes and human activities, including water use and reservoir regulation, and even fewer models distinguished water use from surface water and groundwater resources. Since the early 2000s, a growing number of LHMs are incorporating human impacts on hydrological cycle, yet human representations in hydrological models remain challenging. In this paper we provide a synthesis of progress in the development and application of human impact modeling in LHMs. We highlight a number of key challenges and discuss possible improvements in order to better represent the human-water interface in hydrological models

Human–water interface in hydrological modelling: current status and future directions

Over recent decades, the global population has been rapidly increasing and human activities have altered terrestrial water fluxes to an unprecedented extent. The phenomenal growth of the human footprint has significantly modified hydrological processes in various ways (e.g. irrigation, artificial dams, and water diversion) and at various scales (from a watershed to the globe). During the early 1990s, awareness of the potential for increased water scarcity led to the first detailed global water resource assessments. Shortly thereafter, in order to analyse the human perturbation on terrestrial water resources, the first generation of largescale hydrological models (LHMs) was produced. However, at this early stage few models considered the interaction between terrestrial water fluxes and human activities, including water use and reservoir regulation, and even fewer models distinguished water use from surface water and groundwater resources. Since the early 2000s, a growing number of LHMs have incorporated human impacts on the hydrological cycle, yet the representation of human activities in hydrological models remains challenging. In this paper we provide a synthesis of progress in the development and application of human impact modelling in LHMs. We highlight a number of key challenges and discuss possible improvements in order to better represent the human-water interface in hydrological models