Employees' self‐efficacy and perception of individual learning in teams: The cross‐level moderating role of team‐learning behavior

Despite the importance of employee learning for organizational effectiveness, scholars have yet to identify the factors that influence employees' perception of individual learning. This paper identified employees' self‐efficacy as a potential antecedent to their perception of individual learning in the context of teamwork. We also hypothesized that team‐learning behavior had a moderating effect on the relationship between employees' self‐efficacy and their perception of individual learning. We conducted a study of 236 teams working in a retail firm, comprising 236 team supervisors and 1397 employees, and analyzed the data using hierarchical linear modeling. This study revealed that employees' individual‐level self‐efficacy was positively associated with their perception of individual learning in teams. Additionally, team‐learning behaviors moderated the positive relationship between employees' self‐efficacy and the perception of individual learning. This study has theoretical and practical implications for a more nuanced understanding of the perception of individual learning in the context of teamwork. Copyright © 2016 John Wiley & Sons, Ltd.     

中国生态效率的空间格局与影响机制分析

实现经济增长的生态友好模式转变是当代中国建设两型社会的必然要求,而中国地区生态效率的空间格局及影响因素分析是地理学研究的重要问题.基于此,本文利用随机前沿模型测算2004—2012年间我国地区生态效率,其次,基于探索性空间分析技术对生态效率的空间关联特征进行分析,最后,借助空间计量经济模型对区域生态效率的影响因素进行分析.结果表明:中国地区生态效率总体呈上升趋势,但效率水平偏低,东部地区生态效率高于中西部地区;生态效率空间分异格局显著,且具有正向的空间相关性,其中,低-低生态效率区域集聚分布于我国西部内陆,高-高生态效率集聚区分布于东南沿海;空间面板回归显示,城市化水平及经济发展的提高有助于区域生态效率的提高,环境法规的实施及有效的环境监管可以确保生态安全,而第二、三产业比重的增加不利于生态效率的提高.     

When and where do we see the proximity effect of a new park? –A case study of the Dream Forest in Seoul,Korea

This study aimed to unpack the dynamic proximity effects of a park on residential values in the urban regeneration context: first by the development phase of the park, and second, by specific characteristics of the residential units. The study site is the Dream Forest in Seoul, South Korea, and the study period is from 2006 to 2015. The two-fold multilevel regression analysis suggests that the Dream Forest began exerting proximity effects from the time of site acquisition by the city, which peaked at a 3.7% price increment per 100-meter distance to the park from a prototypical housing unit, soon after the public announcement of the park procurement plan. During construction, inauguration and stabilization, the effect has remained at around 3.0%. The analysis also suggests that the proximity effect applies unevenly to housing units: apartment type or older housing units are more sensitive to the externality effects than their counterparts – multifamily type or newer housing units.     

给水处理厂废弃铁铝泥对正磷酸盐的吸附特征

以给水处理厂废弃铁铝泥（ferric-alum residuals,FARs）为载体,探究了FARs对正磷酸盐的吸附特征.ICP、SEM和XRD测试结果表明,FARs富含铁铝元素且为无定形结构.批量平衡实验法证实,FARs对正磷酸盐的吸附较符合伪二级动力学模型.在酸性环境条件下,磷的吸附效果最好,当pH值从4.6升至7...     

城市道路交通噪声的预测模型验证

《环境影响评价技术导则声环境》(HJ2.4-2009)对于公路道路交通噪声预测模式中的单车辐射声级没有给出固定的计算方式,本文对某两条城市道路采用实际环境影响评价中常用的各种预测模型计算并与实测值进行分析比较,结果发现,单车辐射声级采用2006版规范进行计算,同时结合2009新导则的预测模型得到的预测值与实测值较为相符。     

Evaluating safety-influencing factors at stop-controlled intersections using automated video analysis

Introduction: Although stop signs are popular in North America, they have become controversial in cities like Montreal, Canada where they are often installed to reduce vehicular speeds and improve pedestrian safety despite limited evidence demonstrating their effectiveness. The purpose of this study is to evaluate the impact of stop-control configuration (and other features) on safety using statistical models and surrogate measures of safety (SMoS), namely vehicle speed, time-to-collision (TTC), and post-encroachment time (PET), while controlling for features of traffic, geometry, and built environment. Methods: This project leverages high-resolution user trajectories extracted from video data collected for 100 intersections, 336 approaches, and 130,000 road users in Montreal to develop linear mixed-effects regression models to account for within-site and within-approach correlations. This research proposes the Intersection Exposure Group (IEG) indicator, an original method for classifying microscopic exposure of pedestrians and vehicles. Results: Stop signs were associated with an average decrease in approach speed of 17.2 km/h and 20.1 km/h, at partially and fully stop-controlled respectively. Cyclist or pedestrian presence also significantly lower vehicle speeds. The proposed IEG measure was shown to successfully distinguish various types of pedestrian-vehicle interactions, allowing for the effect of each interaction type to vary in the model. Conclusions: The presence of stop signs significantly reduced approach speeds compared to uncontrolled approaches. Though several covariates were significantly related to TTC and PET for vehicle pairs, the models were unable to demonstrate a significant relationship between stop signs and vehicle–pedestrian interactions. Therefore, drawing conclusions regarding pedestrian safety is difficult. Practical Applications: As pedestrian safety is frequently used to justify new stop sign installations, this result has important policy implications. Policies implementing stop signs to reduce pedestrian crashes may be less effective than other interventions. Enforcement and education efforts, along with geometric design considerations, should accompany any changes in traffic control.     

To reduce and not to reduce resource consumption? That is two questions

Recent research shows that because they rely on separate goals, cognitions about not performing a behaviour are not simple opposites of cognitions about performing the same behaviour. Using this perspective, two studies (N = 758 & N = 104) examined the psycho-social determinants of reduction in resource consumption. Results showed that goals associated with reducing versus not reducing resource consumption were not simple opposites (Study 1). Additionally, the discriminant validity of the Theory of Planned Behaviour constructs associated with reducing versus not reducing resource consumption was demonstrated (Study 1 & 2). Moreover, results revealed the incremental validity of both Intentions (to reduce and to not reduce resource consumption) for predicting a series of behaviours (Study 1 & 2). Finally, results indicated a mediation role for the importance of ecological dimensions on the effect of both Intentions on a mock TV choice and a mediation role for the importance of non ecological dimensions on the effect of Intention of not reducing on the same TV choice. Discussion is organized around the consequences, at both theoretical and applied levels, of considering separate motivational systems for reducing and not reducing resource consumption.     

How to evaluate models: Observed vs. predicted or predicted vs. observed?

A common and simple approach to evaluate models is to regress predicted vs. observed values (or vice versa) and compare slope and intercept parameters against the 1:1 line. However, based on a review of the literature it seems to be no consensus on which variable (predicted or observed) should be placed in each axis. Although some researchers think that it is identical, probably because r² is the same for both regressions, the intercept and the slope of each regression differ and, in turn, may change the result of the model evaluation. We present mathematical evidence showing that the regression of predicted (in the y-axis) vs. observed data (in the x-axis) (PO) to evaluate models is incorrect and should lead to an erroneous estimate of the slope and intercept. In other words, a spurious effect is added to the regression parameters when regressing PO values and comparing them against the 1:1 line. Observed (in the y-axis) vs. predicted (in the x-axis) (OP) regressions should be used instead. We also show in an example from the literature that both approaches produce significantly different results that may change the conclusions of the model evaluation.     

Effects of Climate Change,Invasive Species,and Disease on the Distribution of Native European Crayfishes

Climate change will require species to adapt to new conditions or follow preferred climates to higher latitudes or elevations, but many dispersal‐limited freshwater species may be unable to move due to barriers imposed by watershed boundaries. In addition, invasive nonnative species may expand into new regions under future climate conditions and contribute to the decline of native species. We evaluated future distributions for the threatened European crayfish fauna in response to climate change, watershed boundaries, and the spread of invasive crayfishes, which transmit the crayfish plague, a lethal disease for native European crayfishes. We used climate projections from general circulation models and statistical models based on Mahalanobis distance to predict climate‐suitable regions for native and invasive crayfishes in the middle and at the end of the 21st century. We identified these suitable regions as accessible or inaccessible on the basis of major watershed boundaries and present occurrences and evaluated potential future overlap with 3 invasive North American crayfishes. Climate‐suitable areas decreased for native crayfishes by 19% to 72%, and the majority of future suitable areas for most of these species were inaccessible relative to native and current distributions. Overlap with invasive crayfish plague‐transmitting species was predicted to increase. Some native crayfish species (e.g., noble crayfish [Astacus astacus]) had no future refugia that were unsuitable for the modeled nonnative species. Our results emphasize the importance of preventing additional introductions and spread of invasive crayfishes in Europe to minimize interactions between the multiple stressors of climate change and invasive species, while suggesting candidate regions for the debatable management option of assisted colonization. Efectos del Cambio Climático, Especies Invasoras y Enfermedades sobre la Distribución de Cangrejos de Río Europeos Nativos