The Big Five personality factors and team performance: implications for selecting successful product design teams

In the pursuit of faster product development, product design teams are a growing phenomenon in many organizations. In order to be successful, these teams must be composed of people who work well together. However, despite the benefit of selecting the optimal combination of team members, this topic has received little attention. Personality has been identified as a potentially helpful selection variable in the determination of optimal team composition. This study examines the relationships between the ‘Big Five’ personality factors (Conscientiousness, Extraversion, Neuroticism, Agreeableness, and Openness to Experience) and objective team performance for three-member product design teams. In addition to this, the potential incremental contribution of personality to the variance in team performance over that accounted for by established selection measures such as general cognitive ability was investigated. In the short duration of the study, it became apparent that some teams were capable of success, and some were not. Successful teams were characterized by higher levels of general cognitive ability, higher extraversion, higher agreeableness, and lower neuroticism than their unsuccessful counterparts. In successful teams, the heterogeneity of conscientiousness was negatively related to increments in product performance. Implications for the selection of product design teams and future directions for research are discussed.     

Infrastructures for ethnicity: understanding the diversification of contemporary Indonesia

Social categories need to be replicated to endure. Commentaries about social practices drive replication. Commentaries increase the number of signs emblematic of this category. In contemporary nation-states, mass education, bureaucratic processes, and mass media create large participation frameworks that facilitate replication. I term these participation frameworks ‘infrastructures for ethnicity’. This paper examines two types of infrastructures that have facilitated replication of emblems of ethnicity in Indonesia. My data is drawn from a soap opera, Internet commentaries about this soap, and news stories about clothing and culture. In looking at this data, I examine how old elements that point to ‘ethnicity’ are combined with new elements, how this new combination invites commentaries, how this process increases the semiotic density of these categories, and how all of this engenders diversity in Indonesia.     

Sustainable urban development? Low-cost housing challenges in South Africa

Low-cost housing provision has been a major focus of government in post-apartheid urban South Africa. While successes can be noted, there is growing concern regarding the social and environmental sustainability of housing programs and the impacts upon both the surrounding environment and human health. Utilizing key informant interviews, survey research, Census data and documentary review, this essay identifies the major impediments to a sustainable low-cost housing provision in urban South Africa. The essay also points to hopeful signs in new policy directions, particularly attention to health issues and informal settlement upgrade programs. However, the major obstacles to a sustainable low-cost housing process, including macro-economic conditions, enduring historical legacies of race and class, the scale and rapidity of urban growth and institutional challenges show little indication of abating.     

EXPLORA:content interpretation of data

Most approaches to applying knowledge-based techniques for data analyses concentrate on the context-independent statistical support. EXPLORA however is developed for the subject-specific interpretation with regard to the contents of the data to be analyzed (i.e. content interpretation). Therefore its knowledge base includes also the objects and semantic relations of the real system that produces the data. In this paper we describe the functional model representing the process of content interpretation, summarize the software architecture of the system and give some examples of its applications by pilot-users in survey analysis. EXPLORA addresses applications with data produced regularly which have to be analyzed in a routine way. The system systematically searches for statistical results (facts) to detect relations which possibly could be overlooked by a human analyst. On the other hand EXPLORA will help overcome the large bulk of information which today is usually still produced when presenting the data. Therefore a second knowledge process of content interpretation consists in discovering messages about the data by condensing the facts. Approaches for inductive generalization which have been developed for machine learning are utilized to identify common values of attributes of the objects to which the facts relate. At a later stage the system searches for interesting facts by applying redundancy rules and domaindependent selection rules. EXPLORA formulates the messages in terms of the domain, groups and orders them and even provides flexible navigations in the fact spaces.     

Die Bedeutung des Mentalisierungskonzepts für Coaching

For executives it is essential to interact and resolve conflicts in order to gain or maintain a high level of functioning within the organizational structures. Therefore they must be able to understand the intentional mental states of themselves and their interaction partners to ascribe an adequate meaning that allow to react and respond in an appropriate way. This ability is called mantalization. With the help of mentalization-based therapy (MBT) the improvement of mentalization can be accomplished. For this reason the department of Theory and Methodology of Counseling at the university of Kassel explored whether a mentalization-based Coaching inspired by MBT would be useful.     

Investigation about a screening step in model selection

In many studies a large number of variables is measured and the identification of relevant variables influencing an outcome is an important task. For variable selection several procedures are available. However, focusing on one model only neglects that there usually exist other equally appropriate models. Bayesian or frequentist model averaging approaches have been proposed to improve the development of a predictor. With a larger number of variables (say more than ten variables) the resulting class of models can be very large. For Bayesian model averaging Occam’s window is a popular approach to reduce the model space. As this approach may not eliminate any variables, a variable screening step was proposed for a frequentist model averaging procedure. Based on the results of selected models in bootstrap samples, variables are eliminated before deriving a model averaging predictor. As a simple alternative screening procedure backward elimination can be used. Through two examples and by means of simulation we investigate some properties of the screening step. In the simulation study we consider situations with fifteen and 25 variables, respectively, of which seven have an influence on the outcome. With the screening step most of the uninfluential variables will be eliminated, but also some variables with a weak effect. Variable screening leads to more applicable models without eliminating models, which are more strongly supported by the data. Furthermore, we give recommendations for important parameters of the screening step.     

Semiosis,interaction and ethnicity in urban Java1

This paper teases out the interdiscursive relations between local and perduring signs of personhood and their recontextualization in situated talk. In doing so, I aim to provide further evidence of the utility of incorporating ethnography, linguistic anthropological work on semiotics and work on face‐to‐face interaction. My empirical focus is on two consecutive men's meetings that occurred in an urban Indonesian milieu. In particular, I draw upon work on semiotic register formation and processes of social identification to flesh out how signs from different temporal‐spatial scales figure in the social identification of a non‐present neighbor as deviant and Chinese. By taking an interactional view I also attempt to fill a gap in the scholarship on such inter‐ethnic relations in Indonesia, which has hitherto primarily been historical in nature.     

On the effect of item nonresponse on the estimation of a two–panel–waves wage equation

Summary: In this paper, we present results of the estimation of a two–panel–waves wage equation based on completely observed units and on a multiply imputed data set. In addition to the survey information, reliable income data is available from the register. These external data are used to assess the reliability of wage regressions that suffer from item nonresponse. The findings reveal marked differences between the complete case analyses and both versions of multiple imputation analyses. We argue that the results based on the multiply imputed data sets are more reliable than those based on the complete case analysis.* We would like to thank Statistics Finland for providing the data. We are also very grateful to Susanna Sandström and Marjo Pyy–Martikainen for their helpful advice using the Finnish data. Helpful comments from Joachim Winter and participants of the Workshop on Item Nonresponse and Data Quality in Large Social Surveys, Basel, October, 2003, on an earlier version of the paper are greatfully acknowledged. Further, we would like to thank three anonymous referees and the editor for helpful comments and suggestions.