Ethical challenges in a technological environment: The perspective of engineers versus managers

In his article ‘Better Communication Between Engineers and Managers: Some Ways to Prevent Many Ethically Hard Choices’¹ Michael Davis analyzes the causes of the disaster in terms of a communications gap between management and engineers. When the communication between (representatives of) both groups breaks down, the organization is in (moral) trouble. Crucial information gets stuck somewhere in the organization prohibiting a careful discussion and weighing of all (moral) arguments. The resulting judgment has therefore little (moral) quality. In this paper I would like to comment on some of Michael Davis’s interesting and thought-provoking insights and ideas. A company which implements Davis’s recommendations at least shows some sensitivity to organizational moral issues. But it might miss the point that moral trouble can also result from a common understanding between managers and engineers. Organizational members sometimes tend to be myopic with regard to safety issues. This paper:

Psychological Safety and Appreciation of Differences in Counselor Training Programs: Examining Religion,Spirituality, and Political Beliefs

This study focused on the extent to which religion, spirituality, and political beliefs predicted counseling students' perceptions of psychological safety and appreciation of differences in their programs. The authors used hierarchical regression models to analyze data from 264 students from 4 different institutions. Results indicated that student age, political conservatism, extrinsic religiosity, and intrinsic spirituality were significant predictors of perceived psychological safety and appreciation of differences. The authors discuss implications of these findings.     

组织变革背景下团队主动性的结构与测量

旨在探索组织变革背景下团队主动性行为的结构,并开发出相应的测量工具。首先对20家企业的27位高管进行了深度访谈,然后按照扎根理论思路对获取资料进行细致分析,探索团队主动性的结构,再按照严格的心理测量学程序开发团队主动性的测量问卷,并以来自60家企业的70个团队（共292位成员）为对象进行了测验。研究发现：团队主动性的主要维度包括群策、协作和适应。经过探索性因素分析和验证性因素分析,结果表明测量工具有着良好的信度和构思效度。     

Distinguishing Source of Autonomy Support in Relation to Workers' Motivation and Self-Efficacy

ABSTRACt

The purpose was to investigate the relationship between autonomy support by managers and co-workers and employees' work motivation and self-efficacy in two studies. In Study 1, a sample of 343 Swedish workers completed surveys, and in Study 2, we followed up with a subsample of 98 workers one year later. As in previous studies, managers' support of autonomy was significantly positively related to workers' outcomes. However, the results of Study 1 also showed that co-worker autonomy support was related to these outcomes over and above the effects of manager support. Study 2 showed that changes in autonomy support from co-workers during one year significantly predicted motivation and self-efficacy one year later, while change in support from managers was unrelated to outcomes later. These findings provide evidence for the importance of both vertical and horizontal sources of support.     

We're all in this together now: group performance feedback to increase classroom team data collection

This study's primary goal was to evaluate the use of performance feedback procedures delivered to a classroom team to increase daily data collection. Performance feedback (PFB) was delivered to four classroom teams responsible for the daily collection of data representing student performance during prescribed instructional activities. Using a multiple-baseline design, the effects of the team performance-feedback were evaluated for the target student, and for generalization to data collection for all classroom students. A secondary question evaluated if student on-task behavior correlated with increased data collection. Finally, social validity was investigated to evaluate team satisfaction with the PFB intervention. The results demonstrate improved data collection across all four classroom teams for the target student in each classroom and generalization within classrooms to all remaining students. Slight increases in student on-task behavior were observed in three of the four classrooms, and teacher satisfaction ratings were high.     

Six-Year Sustainability of Evidence-Based Intervention Implementation Quality by Community-University Partnerships: The PROSPER Study

There is a knowledge gap concerning how well community-based teams fare in implementing evidence-based interventions (EBIs) over many years, a gap that is important to fill because sustained high quality EBI implementation is essential to public health impact. The current study addresses this gap by evaluating data from PROSPER, a community-university intervention partnership model, in the context of a randomized-control trial of 28 communities. Specifically, it examines community teams' sustainability of implementation quality on a range of measures, for both family-focused and school-based EBIs. Average adherence ratings approached 90% for family-focused and school-based EBIs, across as many as 6 implementation cohorts. Additional indicators of implementation quality similarly showed consistently positive results. Correlations of the implementation quality outcomes with a number of characteristics of community teams and intervention leaders were calculated to explore their potential relevance to sustained implementation quality. Though several relationships attained statistical significance at particular points in time, none were stable across cohorts. The role of PROSPER's continuous, proactive technical assistance in producing the positive results is discussed.     

Factors contributing to hit-and-run crashes in China

Hit-and-run accidents, or those where the perpetrator leaves the crash scene without reporting the event, are a serious concern because they can delay the rescue of victims, thereby increasing the fatality rate and severity of injuries. However, only a few studies exist on the factors that influence hit-and-run behavior, particularly in developing countries. Using data collected from Guangdong Province in China, this study applies a logistic regression model to analyze factors associated with hit-and-run behavior in five categories: crash attributes and human, vehicle, road, and environmental factors. This study finds that the probability of hit-and-run behavior increases with accidents that involve pedestrians, occur in dark driving conditions, and are caused by drivers who are male, middle-aged, and without a valid driver’s license, extensive driving experience, or automobile insurance. Therefore, we recommend closer supervision and better public education for different groups of people about traffic laws and regulations.     

Traffic safety climate attitudes of road users in Germany

This paper validates traffic safety climate attitudes based on a representative sample of road users of all travel modes. We use the German version of the Traffic Climate Scale (TCS) which was applied in a large-scale road safety survey in 2010. A total of 1680 people were surveyed. The sample is representative for socio-demographic characteristics and travel mode choice in Germany. Factor analysis reveals a three-factor structure of traffic safety climate with the factor ‘External affective demands’ describing emotional engagement in traffic, the factor ‘Internal requirements’ representing individual skills and abilities to successfully participate in traffic, and the factor ‘Functionality’ describing requirements for a functional traffic system. The less emotionally demanding and the more functional traffic is perceived to be, the safer people feel in traffic. External affective demands are consistently related to the perception of others’ driving/riding style but not to one’s own, whereas internal requirements are consistently related to one’s own driving/riding style but not to the perception of others. There is no relation between traffic safety climate and accidents or near accidents. Contrary to our expectations, a positive traffic safety climate is associated with more secondary tasks while driving and traffic violations. Behavioural control beliefs may mediate the traffic climate–traffic behaviour relationship. The results are discussed with reference to attitude research and the theory of planned behaviour in particular.     

Introducing naturalistic cycling data: What factors influence bicyclists’ safety in the real world?

Presently, the collection and analysis of naturalistic data is the most credited method for understanding road user behavior and improving traffic safety. Such methodology was developed for motorized vehicles, such as cars and trucks, and is still largely applied to those vehicles. However, a reasonable question is whether bicycle safety can also benefit from the naturalistic methodology, once collection and analyses are properly ported from motorized vehicles to bicycles. This paper answers this question by showing that instrumented bicycles can also collect analogous naturalistic data. In addition, this paper shows how naturalistic cycling data from 16 bicyclists can be used to estimate risk while cycling. The results show that cycling near an intersection increased the risk of experiencing a critical event by four times, and by twelve times when the intersection presented some form of visual occlusion (e.g., buildings and hedges). Poor maintenance of the road increased the risk tenfold. Furthermore, the risk of experiencing a critical event was twice as large when at least one pedestrian or another bicyclist crossed the bicyclist’s trajectory. Finally, this study suggests the two most common scenarios for bicycle accidents, which result from different situations and thus require different countermeasures. The findings presented in this paper show that bicycle safety can benefit from the naturalistic methodology, which provides data able to guide development and evaluation of (intelligent) countermeasures to increase cycling safety.