What does it take to be a virtual team player? The knowledge,skills, abilities,and other characteristics required in virtual teams

Competency models are available for many aspects of work that cut across various occupations (such as leadership, teamwork, etc.). Although virtual teamwork has developed to a highly prevalent aspect of work, very little is known about the knowledge, skills, abilities, and other characteristics (KSAOs) required. In the current study, KSAO requirements of virtual and traditional business teams (n = 175 and 205, respectively) were compared and aligned to the Great Eight competency model. Results showed that KSAOs pertaining to Leading and Deciding and to Analyzing and Interpreting were more important in virtual teams. Conversely, virtual and traditional teams did not differ in terms of broad personality (Big Five) requirements. Together, these findings contribute to deeper knowledge on selection and training in virtual teams.     

Generalized Quantum Theory: Overview and Latest Developments

The main formal structures of generalized quantum theory are summarized. Recent progress has sharpened some of the concepts, in particular the notion of an observable, the action of an observable on states (putting more emphasis on the role of proposition observables), and the concept of generalized entanglement. Furthermore, the active role of the observer in the structure of observables and the partitioning of systems is emphasized.     

Panorama

Panorama

Panorama     

Panorama

Panorama

Panorama     

Regulatory focus and investment decisions in small groups

Regulatory Focus Theory was applied to small interactive groups. Based on previous research, it was expected that groups with a promotion focus would discuss gain-relevant information, whereas groups with a prevention focus would be concerned with potential losses. Furthermore, promotion groups were expected to make riskier decisions than prevention groups. Regulatory focus was manipulated by rewarding good or penalizing poor group performance on a preliminary task. Subsequently, three-person groups discussed several investment funds and made a consensual investment decision. Results supported the hypotheses and suggested that regulatory focus requires time to exert its influence in groups.     

A Unified Nonparametric IRT Model for <Emphasis Type="Italic">d</Emphasis>-Dimensional Psychological Test Data (<Emphasis Type="Italic">d</Emphasis>-ISOP)

The (univariate) isotonic psychometric (ISOP) model (Scheiblechner, 1995) is a nonparametric IRT model for dichotomous and polytomous (rating scale) psychological test data. A weak subject independence axiom W1 postulates that the subjects are ordered in the same way except for ties (i.e., similarly or isotonically) by all items of a psychological test. A weak item independence axiom W2 postulates that the order of the items is similar for all subjects. Local independence (LI or W3) is assumed in all models. With these axioms, sample-free unidimensional ordinal measurements of items and subjects become feasible. A cancellation axiom (Co) gives, as a result, the additive isotonic psychometric (ADISOP) model and interval scales for subjects and items, and an independence axiom (W4) gives the completely additive isotonic psychometric (CADISOP) model with an interval scale for the response variable (Scheiblechner, 1999). The d-ISOP, d-ADISOP, and d-CADISOP models are generalizations to d-dimensional dependent variables (e.g., speed and accuracy of response). The author would like to thank an Associate Editor and two anonymous referees and also Professor H.H. Schulze for their very valuable suggestions and corrections.     

Genetic Influence Helps Explain Variation in Human Fertility: Evidence From Recent Behavioral and Molecular Genetic Studies

To search for genetic influence on human fertility differentials appears inconsistent with past empirical research and prior interpretations of Fisher's fundamental theorem of natural selection. We discuss Fisher's theorem and give reasons why genetic influences may indeed account for individual differences in human fertility. We review recent empirical studies showing genetic influence on variance in fertility outcomes and precursors to fertility. Further, some of the genetic variance underlying fertility outcomes overlaps with that underlying fertility precursors. Findings from different cultures, different times, different levels of data, and both behavioral and molecular genetic designs lead to the same conclusion: Fertility differentials are genetically influenced, and at least part of the influence derives from behavioral precursors that are under volitional control, which are themselves genetically mediated.