The Input Evaluation of Generalized Bernoulli Processes for Salary Lines Construction by Means of Continuous Time Generalized Non-Homogeneous Semi-Markov Processes

Salary line forecasting assumes a relevant role in manpower and in pension funds Previously, the authors presented a generalized Bernoulli process, useful for forecasting the evolution of salary lines, taking into account the salary costs, the number of workers at each rank and the probability transitions between the ranks. The problem with applying this model is constructing the probability of transition between the grades. In this article, we will present a model that allows obtaining these probabilities by means of the solution of the evolution equation of a generalization of continuous time non-homogeneous semi-Markov processes.     

Who are the objects of positive and negative gossip at work?: A social network perspective on workplace gossip

Gossip is informal talking about colleagues. Taking a social network perspective, we argue that group boundaries and social status in the informal workplace network determine who the objects of positive and negative gossip are. Gossip networks were collected among 36 employees in a public child care organization, and analyzed using exponential random graph modeling (ERGM). As hypothesized, both positive and negative gossip focuses on colleagues from the own gossiper's work group. Negative gossip is relatively targeted, with the objects being specific individuals, particularly those low in informal status. Positive gossip, in contrast, is spread more evenly throughout the network.     

Intensity of preference and related uncertainty in non-compensatory aggregation rules

Non-compensatory aggregation rules are applied in a variety of problems such as voting theory, multi-criteria analysis, composite indicators, web ranking algorithms and so on. A major open problem is the fact that non-compensability implies the analytical cost of loosing all available information about intensity of preference, i.e. if some variables are measured on interval or ratio scales, they have to be treated as measured on an ordinal scale. Here this problem has been tackled in its most general formulation, that is when mixed measurement scales (interval, ratio and ordinal) are used and both stochastic and fuzzy uncertainties are present. Objectives of this article are first to present a comprehensive review of useful solutions already proposed in the literature and second to advance the state of the art mainly in the theoretical guarantee that weights have the meaning of importance coefficients and they can be summarized in a voting matrix. This is a key result for using non-compensatory Condorcet consistent rules. A proof on the probability of existence of ties in the voting matrix is also developed.     

Firm’s protection against disasters: are investment and insurance substitutes or complements?

Theory and Decision - We use a controlled laboratory experiment to study firm’s protection against potential technological damages. The probability of a catastrophic event is known, and the...     

Similarities and Differences in Competitiveness Among European NUTS2 Regions: An Empirical Analysis Based on 2010–2013 Data

Social Indicators Research - Regional competitiveness is a concept whose definition and applicability is highly debated among scholars. Nevertheless, over recent years it has become widespread...     

Ergonomic investigation on pedestrian crossing with traffic light signalization

This article is about the risk behavior adopted by pedestrians at crosswalks with traffic light equipment. It was observed that many pedestrians take risk to cross the Presidente Vargas Avenue. This avenue is located in downtown in Rio de Janeiro city, Brazil, and has a heavy vehicular traffic and intense pedestrian flow. Many pedestrians cross the four lanes of avenue dangerously disobeying the traffic light indications. To conduct this research about pedestrian's behavior at crosswalks, a model known as Communication-Human Information Processing Model - C-HIP Model was used. Investigating the stages by C-HIP model perspective, using methods and techniques for each stage, enabled to identify which factors can contribute to pedestrians to disobey traffic signs and adopt a risky behavior in pedestrian crossing.     

Alterations in the Emotional Regulation Process in Gambling Addiction: The Role of Anger and Alexithymia

This study aims at the assessment of alexithymia and anger levels in 100 treatment-seeking pathological gamblers compared with controls, who were matched for age, gender and education. Furthermore a positive correlation between alexithymia, anger and severity of gambling disorder and a relationship between gambling behaviour and anger after controlling for alexithymia, are investigated. Finally the role that gender plays in anger in pathological gamblers was also evaluated. Psychological assessment includes the South Oaks Gambling Screen, State-Trait Anger Expression Inventory-2 and the twenty-item Toronto Alexithymia Scale. Statistical analysis of the results shows a higher level of anger in pathological gamblers than in controls, together with alterations in emotional processing. Severity of gambling behaviour positively correlates with alexithymia scores, state-anger and trait-anger. Moreover, a significant contribution of anger in predicting gambling behaviour was suggested after controlling for alexithymia. In conclusion, anger and alexithymia must be regarded as relevant components of the assessment of pathological gamblers, in order to select the best therapeutical strategies to prevent self-defeating behaviours and to reduce drop-out from treatments.     

Applying fuzzy logic to personnel assessment: a case study

The main results of a research project spanning over several years are presented in this paper. The aim of the research was the improvement of the effectiveness of personnel assessment within a large Italian corporation operating in the research sector. The first step of the research consisted of the analysis of the raters’ behavior, so as to elicit the judgement categories and prototypes they used in the judgement formulation, based on the rating method adopted in the corporation. The second step consisted of improving the rating method using fuzzy logic. The corporate management tested the new rating method and found it more efficient and reliable than the previous one.