Multi-couple reflecting team: preliminary report

The aim of therapeutic help in marital crisis is to break the vicious circle of mutual hurtful accusations. The method that the authors present below involves a group of couples working within a closed cycle of meetings. In the course of successive group meetings, the various couples act as reflecting teams (RTs) for each other. This achieves two objectives: the couple recounting their crisis receives nonthreatening feedback, which helps them to implement positive changes and break out of the self-perpetuating destructive interaction. In addition, the couples acting as the RT learn nonjudgmental, nontheorizing and affirmative communication.     

Beyond Markowitz with multiple criteria decision aiding

The paper is about portfolio selection in a non-Markowitz way, involving uncertainty modeling in terms of a series of meaningful quantiles of probabilistic distributions. Considering the quantiles as evaluation criteria of the portfolios leads to a multiobjective optimization problem which needs to be solved using a Multiple Criteria Decision Aiding (MCDA) method. The primary method we propose for solving this problem is an Interactive Multiobjective Optimization (IMO) method based on so-called Dominance-based Rough Set Approach (DRSA). IMO-DRSA is composed of two phases: computation phase, and dialogue phase. In the computation phase, a sample of feasible portfolio solutions is calculated and presented to the Decision Maker (DM). In the dialogue phase, the DM indicates portfolio solutions which are relatively attractive in a given sample; this binary classification of sample portfolios into ‘good’ and ‘others’ is an input preference information to be analyzed using DRSA; DRSA is producing decision rules relating conditions on particular quantiles with the qualification of supporting portfolios as ‘good’; a rule that best fits the current DM’s preferences is chosen to constrain the previous multiobjective optimization in order to compute a new sample in the next computation phase; in this way, the computation phase yields a new sample including better portfolios, and the procedure loops a necessary number of times to end with the most preferred portfolio. We compare IMO-DRSA with two representative MCDA methods based on traditional preference models: value function (UTA method) and outranking relation (ELECTRE IS method). The comparison, which is of methodological nature, is illustrated by a didactic example.     

Multivariate Matsumoto–Yor property is rather restrictive

Matsumoto and Yor [2001. An analogue of Pitman's 2M-X$2M-X$ theorem for exponential Wiener functionals. Part II: the role of the GIG laws. Nagoya Math. J. 162, 65–86] discovered an interesting invariance property of a product of the generalized inverse Gaussian (GIG) and the gamma distributions. For univariate random variables or symmetric positive definite random matrices it is a characteristic property for this pair of distributions. It appears that for random vectors the Matsumoto–Yor property characterizes only very special families of multivariate GIG and gamma distributions: components of the respective random vectors are grouped into independent subvectors, each subvector having linearly dependent components. This complements the version of the multivariate Matsumoto–Yor property on trees and related characterization obtained in Massam and Weso?owski [2004. The Matsumoto–Yor property on trees. Bernoulli 10, 685–700].     

Comparison of Kernel Discriminant Coordinates Algorithms

The construction of kernel discriminant coordinates reduces to the solution of a generalized eigenvalue problem in which both matrices are nonnegative definite. Six different algorithms for solving that problem are described, and the performance of these algorithms is tested on 26 different datasets. The percentage of misclassifications using a linear discriminant function is noted, and the algorithms’ running times are ascertained. Classification is also performed in the space of classical discriminant coordinates.     

Some optimal block designs with nested rows and columns for research on alternative methods of limiting slug damage

Some criteria of optimality of a block design with nested rows and columns are considered. The criteria are based on the eigenvalues of the information matrix C or on the eigenvalues of the matrix C with respect to a diagonal matrix R of treatment replications. New constructions of some optimal block designs with nested rows and columns are presented for application to special plant protection experiments.     

Management innovation,pro-innovation organisational culture and enterprise performance: testing the mediation effect

The interest in management innovation (MI) is growing and the conviction about its significant role in boosting an enterprise’s competitive advantage and performance has recently gained ground. The studies on MI and its relationships with enterprise performance, which are relatively scarce in literature, indicate the complexity of these relationships. This inspired us to propose the management innovation construct and its operationalisation, which allowed for the empirical verification of the relationships between management innovation and enterprise performance. Simultaneously, we adopted the hypothesis on the mediating role of pro-innovation organisational culture. The aim of this article, therefore, is to study the relationships between MI and enterprise performance as well as to determine what role is played by pro-innovation organisational culture in these relationships. In order to do that, we conducted a survey of 301 companies based in Poland. Our research results confirmed the existence of relationships between management innovation and enterprise performance in the survey sample, although they were not very strong. Additionally, the hypothesis about the mediating role of organisational culture was also partially supported. The results of our study enrich the knowledge about the role of MI in stimulating enterprise performance and the role of pro-innovation organisational culture. We also discuss the implications for further research and management practice.     

How to stop salami science: promotion of healthy trends in publishing behavior

The career of scientists often depends on the number of their published works. This fact leads to the overproduction of low-quality papers burying the important articles and making the knowledge less accessible. One of the methods to counteract these negative aspects might lie in the promotion of healthy trends in publishing behavior. In the present work, the theoretical analysis of a new bibliometric measure is presented, and its potential impact on the publishing strategies is carefully discussed.     

A note on a makespan minimization problem with a multi-ability learning effect

In the scheduling literature the learning effect is perceived as a process of acquiring experience by a processor (e.g. a human worker) in one ability. However, in many real-life problems the processor, during execution of jobs, increases its experience in different, very often independent, abilities (skills). In consequence, it causes the overall growth of the efficiency of the processor. According to this observation, in this paper, we bring into scheduling a new approach called multi-ability learning that generalizes the existing ones and models more precisely real-life settings. On this basis, we focus on a makespan minimization problem with the proposed learning model and provide optimal polynomial time algorithms for its special cases, which often occur in management.     

Estimation in singular partitioned,reduced or transformed linear models

A singular partitioned linear model, i.e. the singular model comprising the main parameters and the nuisance parameters, can be reduced, or transformed to the form in which only linear functions concerning main parameters are involved. In the paper some properties of the best linear unbiased estimators of these functions following from these models are considered.