工作狂领导对团队绩效的双刃剑作用机制

随着行业竞争压力的加剧, 工作狂领导在职场中愈发普遍。然而对于工作狂领导在组织中的有效性, 无论是在实践界还是在学术界都尚存争议。鉴于此, 本研究基于社会信息加工理论, 分析工作狂领导对团队绩效的双刃剑作用机制。通过对某物业管理服务公司进行多时点、多来源的问卷调查, 研究结果表明：一方面, 工作狂领导会提升团队工作卷入, 促进团队绩效; 另一方面, 工作狂领导也会引发团队消极情绪, 损害团队绩效表现; 团队工作重要性能有效缓解工作狂领导对团队绩效的消极作用, 同时促进其积极作用。以上研究发现有助于辨证理解工作狂领导有效性, 为组织培育管理人才提供有益借鉴。     

不同社交媒体使用目的对员工工作绩效的影响机制

基于工作要求-资源理论, 本研究探讨了两种社交媒体使用目的对员工工作绩效影响的内部作用机制, 进而分析两种社交媒体使用目的对员工工作绩效的影响效果。通过369份“领导者-下属”匹配数据, 研究发现：(1)基于工作、社交的社交媒体使用均促进员工工作绩效; (2)基于工作、社交的社交媒体使用均通过工作投入影响工作绩效, 基于社交的社交媒体使用还通过关系冲突影响工作绩效; (3)社交媒体的工作使用和社交使用对员工工作绩效的影响存在相互替代关系。本研究结果不仅从理论上拓展了社交媒体使用的研究视角, 为后续研究提供新的理论框架, 同时通过比较分析为组织管理社交媒体使用提供了新思路。     

Preference for Human (vs. Robotic) Labor is Stronger in Symbolic Consumption Contexts

Advances in robotics, automation, and artificial intelligence increasingly enable firms to replace human labor with technology, thereby fundamentally transforming how goods and services are produced. From both managerial and societal points of view, it is therefore important to understand demand‐side incentives for firms to employ human labor. We begin to address this question by examining for which products and services consumers are more likely to favor human (vs. robotic) labor. In six studies, we demonstrate that consumers prefer human (vs. robotic) labor more for products with higher (vs. lower) symbolic value (e.g., when expressing something about one's beliefs and personality is of greater importance). We theorize that this is because consumers have stronger uniqueness motives in more (vs. less) symbolic consumption contexts (and associate human labor more strongly with product uniqueness). In line with this account, we demonstrate that individual differences in need for uniqueness moderate the interaction between production mode and symbolic motives and that a measure of uniqueness motives mediates the effect of consumption context on preferences for human (vs. robotic) production.     

Intraindividual variability in driving simulator parameters of healthy drivers of different ages

Intraindividual variability is a fundamental behavioural characteristic of aging but has been examined to a very limited extent in driving. This study investigated intraindividual variability in driving simulator measures in healthy drivers of different ages using the coefficient of variation (COV) as a variability measure. Participants were healthy volunteers who were regular drivers, who were divided into a “young” group, a “middle-aged” group, and an “old” group. They drove in two environments (rural, 72 drivers; urban, 60 drivers), under conditions of moderate and high traffic load, without and with distraction (conversation). Significant differences in COV were observed in the rural condition for headway distance and lateral position as a function of traffic load, with high traffic (without and with distraction) resulting in increased COV of headway and decreased COV of lateral position. Significant differences in COV were observed in the urban condition for headway distance only, with high traffic (without and with distraction) resulting in increased COV of headway. No age effects were found for any of the driving conditions. The results indicate that traffic load affected headway distance and lateral position in opposite directions in all three age groups: high traffic resulted in increased variability of headway in both rural and urban conditions but in decreased variability of lateral position in the rural conditions compared to moderate traffic irrespective of distraction. The study indicates that driving conditions affect the intraindividual variability of driving measures in selective ways, which may be linked to the extent of automatization of the driving variables and to adaptive changes to traffic condition challenges.     

Evaluating pedestrian interaction preferences with a game theoretic autonomous vehicle in virtual reality

Localisation and navigation of autonomous vehicles (AVs) in static environments are now solved problems, but how to control their interactions with other road users in mixed traffic environments, especially with pedestrians, remains an open question. Recent work has begun to apply game theory to model and control AV-pedestrian interactions as they compete for space on the road whilst trying to avoid collisions. But this game theory model has been developed only in unrealistic lab environments. To improve their realism, this study empirically examines pedestrian behaviour during road crossing in the presence of approaching autonomous vehicles in more realistic virtual reality (VR) environments. The autonomous vehicles are controlled using game theory, and this study seeks to find the best parameters for these controls to produce comfortable interactions for the pedestrians. In a first experiment, participants’ trajectories reveal a more cautious crossing behaviour in VR than in previous laboratory experiments. In two further experiments, a gradient descent approach is used to investigate participants’ preference for AV driving style. The results show that the majority of participants were not expecting the AV to stop in some scenarios, and there was no change in their crossing behaviour in two environments and with different car models suggestive of car and last-mile style vehicles. These results provide some initial estimates for game theoretic parameters needed by future AVs in their pedestrian interactions and more generally show how such parameters can be inferred from virtual reality experiments.     

Olympic coaching excellence: A quantitative study of psychological aspects of Olympic swimming coaches

ObjectivesResearchers investigating the psychological aspects of Olympic coaching have studied coaches as a homogenous group, and the effect of coaches' psychological characteristics on performance-related outcomes remains unclear. The objective of this research, therefore, was to examine whether psychological factors discriminate between world-leading (i.e., Olympic gold medal winning) and world-class (i.e., Olympic non-gold medal winning) coaches.MethodSelf-reported psychometric questionnaires were completed by 36 Olympic coaches who had collectively coached 169 swimmers to win 352 Olympic medals, of which 155 were gold medals. The questionnaires assessed 12 variables within the Big Five personality traits, the dark triad, and emotional intelligence, and the data was analyzed using three one-way multivariate analysis of variance and follow-up univariate F-tests.ResultsThe results showed that the 21 world-leading coaches were significantly more agreeable, had greater perception of emotion, were better at managing their own emotion, and were less Machiavellian and narcissistic than the 15 world-class coaches. The groups of coaches showed no differences in levels of conscientiousness, openness to experience, extraversion, neuroticism, psychopathy, managing other emotion, or utilization of emotion.ConclusionsPsychological factors discriminate between world-leading and world-class coaches. The implications of these differences are discussed for psychology researchers and practitioners operating in Olympic sport.     

心理因素与学业表现：机器学习分类预测模型

随着高等教育规模的扩大,学业表现不良逐渐成为一个不容忽视的现象,对学业表现不良的学生进行预测并提早给予干预可降低退学率并减少教育资源的损失。由于导致学业表现不良的因素众多且关系复杂,传统的基于相关分析的研究方法很难建立早期预测模型并进行应用。本研究旨在利用机器学习算法,对数据进行挖掘,并建立学业表现预测模型。研究对653名大一新生的心理健康状况、应对方式、人格、内外控倾向和相关人口统计学信息进行了收集,并在一年后采集了其学业成绩,利用随机森林(RF)、K邻近（KNN）、支持向量机（SVM）、决策树（DT）、朴素贝叶斯（NB）等机器学习算法建立了分类模型。结果显示,随机森林算法在识别学业表现不良学生时有最好的表现,其中准确率95.86%, 召回率91.83%,f1分数为93.80%。特征重要性分析显示,前10个对模型有最高贡献度的特征包括：年龄、性别、是否为独生子、内外控倾向、神经质倾向、积极应对倾向、宜人性倾向、一般症状指数、开放性倾向和焦虑水平。为避免过度拟合问题,本研究在一年后收集的166名新生样本中进行了模型验证,结果显示模型在新数据集上有较好的泛化表现,其中f1分数90.90％,准确率92.60％,召回率89.26％。研究提示基于人口统计学和心理测评信息,机器学习算法有助于及早识别学业表现不良学生并为开展早期干预提供启示。     

Atmospheres of street performance in Taipei: Affect and emotion as dynamic,simultaneous, more-than-representational experiences

Studies of street performance have highlighted its potential for creating vibrant and inclusive urban places, yet have largely neglected its atmospheric, affectual and emotional dimensions. Building on a growing body of work on atmospheres and dynamics of affect and emotion, I examine the formation of atmospheres by street performances in Taipei and its affectual and emotional resonance on space and people. I used an experimental more-than-representational methodology, including implementing a live survey questionnaire through the audience's smartphones during a performance. An atmosphere of street performance is generated through the lively interactions between the street performer, members of the audience, performance objects and the wider urban environment. Performance objects and the urban streetscape are vitalised as part of street performance, and have excessive potential in producing atmospheres. The spatio-temporal dimension of performance atmosphere is significant in generating memories and creating a therapeutic atmospheric space, experienced affectually and emotionally. I suggest that it would be helpful to see atmosphere and its affectual and emotional impact as dynamic, simultaneous experiences that people encounter as they are enmeshed within an atmosphere, such as in more-than-individual experiences or unexpected events. Within a changing atmosphere, there are multiple layers of affective and emotional outcomes, whether felt and emerging individually, and/or felt and emerging collectively.     

One Roof,Three Generations: Grandparental Co-residence and Child Outcomes in China

This study examined the association between grandparental co-residence and child academic and behavioral outcomes using a sample from Shanghai, China (n = 1,763), and was built on two theoretical perspectives: intergenerational solidarity theory and the contextual model of family stress. These models integrate the impact of residential and relational proximity to grandparents on child well-being and underscore the importance of family context. This study also explored the moderating effects of family resources using proxies that prior theoretical and empirical studies have found to be important to such associations: family income, parental education, hukou status, and subjective social status. Results indicated that among families without co-residing grandparents, rural and low-income parents reported their children to have more externalizing behavioral issues than their respective urban and non-low-income counterparts. In addition, children who resided in poorly resourced families (i.e., low family income, low parental education, low subjective social status, or rural hukou status) tended to benefit from living with grandparents compared to their well-resourced counterparts in terms of lower externalizing and internalizing behaviors reported by teachers. These results do not negate the potential beneficial effects of living with grandparents for children in well-resourced environments. Implications for practice and policy, as well as future research directions, are discussed.     

The Performance Diagnostic Checklist-Human Services: A brief review

The Performance Diagnostic Checklist-Human Services (PDC-HS) is an informant-based tool designed to identify the variables contributing to poor employee performance in human service settings, such as clinics, schools, and residential facilities. Upon completion of the tool, an intervention indicated by PDC-HS results is used to improve employee performance. To date, the PDC-HS has been used in a number of studies. This review describes the existing research on the PDC-HS and provides suggestions for future research.