Customer incivility and employee well-being: testing the moderating effects of meaning,perspective taking and transformational leadership

This study investigated factors that influence the relationship between experiencing customer incivility and the psychological well-being of employees in the service industry (N?=?215). Using the cognitive appraisal theory of stress, we identified and tested three factors that may buffer employees from the negative effects of customer incivility: finding meaning in work, perspective taking, and transformational leadership of supervisors. Transformational leadership was found to moderate the relationship between customer incivility and employee well-being. Meaning and perspective taking did not moderate the relationship between customer incivility and employee well-being, but did have a positive association with employee well-being. These findings contribute to the literature on customer incivility and suggest that organization-based resources that influence both primary and secondary appraisal, such as transformational leadership, are useful in buffering the harmful employee outcomes related to customer incivility.     

Does Child Sex Moderate Vulnerability to Postpartum Risk among Infants of Mothers at Risk for Psychopathology?

Early childhood behavior problems may indicate risk for subsequent psychopathology (Shaw, Gilliom, Ingoldsby, & Nagin, Developmental Psychology, 39, 2003, 189). There is some evidence to suggest that boys and girls may be differentially susceptible to postpartum risk factors that predict problem behaviors in early childhood (Kochanska, Coy, & Murray, Child Development, 72, 2001, 1091; Martel, Klump, Nigg, Breedlove, & Sisk, Hormones and Behavior , 55, 2009, 465). The main aim of this study is to examine whether child sex moderates the effect of infant and maternal predictors of toddler problem behaviors in a unique sample of high‐risk mother–child dyads. Analyses were based on data collected for 198 mother–child dyads (52% male offspring) followed longitudinally from birth to 18 months. Maternal and infant variables, including maternal PTSD and depression symptoms, maternal maltreatment history, observed maternal parenting quality, demographic risk, and infant negative emotionality and night waking, were used to predict toddler behavior problems. Although boys and girls displayed similar levels of total problem behaviors at 18 months overall, the specific set of infant and maternal variables that predicted toddler problems varied by child sex. The significant predictor for boys was maternal PTSD symptoms, whereas significant predictors for girls were infant negative emotionality and sleep problems. Results suggest that sex‐differentiated transmission of risk can be identified as early as 18 months postpartum. These differences suggest a gender‐specific biological sensitivity to maternal psychopathology, or alternatively, a gender‐specific reporting bias among mothers with childhood maltreatment histories.     

走出美学与“否定美学”的困惑——对话当代环境美学家阿诺德·柏林特

美学学科最初诞生时有两个基本定位,一是感知,二是情感。感知本是美学一词的词源学内涵,因此理应成为美学研究的首要因素,但西方美学界长期以来却忽略了这一点。美学学科要获得新的发展,不仅应重新恢复感知的应有地位,同时也需要在新的条件下对其内涵进一步丰富和更新。情感虽然一直处于美学研究的核心,但在美学界却遭到了误解和误用,再加上其本身内涵的不确定性,从而使它对审美经验的解释能力大大降低。而中国传统文化中对情感的解释则可能为当今的美学思考提供一些新的启示。由于审美经验的价值既可以是肯定性的也可以是否定性的,在美学中引入否定美学和否定美学价值便极为重要。这不仅扩展了美学的研究范围,也提高了美学的实践意义。但如何才能使美学在环境干预和环境优化方面真正发挥作用,还需要进一步研究和探索。     

Applying neural network Poisson regression to predict cognitive score changes

In this study, we combined a Poisson regression model with neural networks (neural network Poisson regression) to relax the traditional Poisson regression assumption of linearity of the Poisson mean as a function of covariates, while including it as a special case. In four simulated examples, we found that the neural network Poisson regression improved the performance of simple Poisson regression if the Poisson mean was nonlinearly related to covariates. We also illustrated the performance of the model in predicting five-year changes in cognitive scores, in association with age and education level; we found that the proposed approach had superior accuracy to conventional linear Poisson regression. As the interpretability of the neural networks is often difficult, its combination with conventional and more readily interpretable approaches under the generalized linear model can benefit applications in biomedicine.     

Lot Splitting in Stochastic Flow Shop and Job Shop Environments*

In recent years many firms have been implementing small lot size production. Lot splitting breaks large orders into smaller transfer lots and offers the ability to move parts more quickly through the production process. This paper extends the deterministic studies by investigating various lot splitting policies in both stochastic job shop and stochastic flow shop settings using performance measures of mean flow time and the standard deviation of flow time. Using a computer simulation experiment, we found that in stochastic dynamic job shops, the number of lot splits is more important than the exact form of splitting. However, when optimal job sizes are determined for each scenario, we found a few circumstances where the implementation of a small initial split, called a “flag,” can provide measurable improvement in flow time performance. Interestingly, the vast majority of previous research indicates that methods other than equal lot splitting typically improves makespan performance. The earlier research, however, has been set in the static, deterministic flow shop environment. Thus, our results are of practical interest since they show that the specific method of lot splitting is important in only a small set of realistic environments while the choice of an appropriate number of splits is typically more important.     

Evaluating the Impact on Practice of Online Child Protection Education at Master’s level

Social workers, who have a key role in safeguarding children, need opportunities to develop and maintain skills, knowledge and attributes that will equip them to practise safely and effectively. Post-qualifying education and training opportunities are increasingly being delivered online, and this paper reports on an experience within one University, which began to deliver online postgraduate modules in child protection in 2007. Some key challenges for the lecturers were in creating an online climate of trust and respect with appreciation of differing perspectives, promoting skills of critical analysis and ensuring that theory was related to practice. While end-of-module evaluations indicated that students perceived the learning to be effective and relevant, however, there was no measure of the extent to which practice had been influenced by this learning. Funding received in 2013 supported a project that enabled evaluation of the impact on practice, both during the period of study and following completion of the modules. All individuals who had completed one or more relevant modules were invited to complete a questionnaire, and some were given follow up telephone interviews. Results indicate that many students felt initially anxious about embarking on the course of study, and in some cases ill prepared to embark on online learning at Master’s level. Despite this, however, there was a positive impact on practice that was immediate and, in many cases sustained, although students perceived that this was not always recognised in the workplace. The findings suggest that online learning can be effective in influencing practice but that lecturers must continue to strive to find strategies to help students to overcome difficulties such as isolation, lack of confidence and workload pressures. There is also a need for further research exploring crucial aspects such as managers’ perspectives regarding the impact on practice and the value to an organisation of Master’s level study.