Gender or Occupational Status: What Counts More for Well-Being at Work?

The aim of this study is to provide cross-cultural empirical support that endorses the scientific nature of Quality of Life (QoL), which a review of definitions reveals as a nomothetic and multidimensional concept (personal and environmental circumstances), made up of a set of subjective and objective indicators. Although this is commonly accepted, many instruments and authors reduce it to subjective and personal conditions. Bearing in mind the aim described, multi-group Structural Equation Modelling analysis was applied to two representative samples made up of 1217 participants aged over 60 from Mexico and Spain, recruited both at random (through the random route procedure), who completed the CUBRECAVI (Brief Questionnaire of Quality of Life). In this model two third-order latent variables are considered for QoL: personal and external factors, both made up of objective and subjective indicators. As predicted, the results permit us to state that the structural model is invariant across the two countries—that is, although the QoL construct has the same structure in the two countries, the importance of the indicators (factor loadings) and the relationships between them are not equivalent.     

The more you know,the more you give: Influence of online disclosure on European community foundations' donations

Competition is high in the charitable contributions market, and donors demand to know how nonprofit organizations use the money they receive. In scrutinizing the variables that affect the capacity of nonprofits to attract donations, previous research has highlighted the positive influence of the amount of financial and performance information that nonprofits disclose through their websites. This study explored whether the depth of the organizations' online disclosures also affects these donations. In line with existing studies on regression‐based economic models of giving, this study considered community foundations—focusing on the United Kingdom and Italy—and its results indicated that managing the depth of the information provided through financial reports can influence donors' sensitivity and willingness to donate.     

The identity and professional culture of the educator at the beginning of the university path in Italy

To work as an educator in Italy has required a specific university degree for only a few years now. This change has institutionalized the educational path regarding some factual knowledge and skills. However, the profession of educator also relates to an experiential culture and to personal motivations affecting and sustaining each individual's choice of the profession. This paper examines the ideas of professional identity held by a group of Italian students at the beginning of their college career. The sample includes two groups at the University of Padua, one group learning to work in social work, one group learning to work in health care. During the first three years of the new academic requirement, first-year students in both groups were qualitatively and quantitatively surveyed. In particular the study explores the reasons students orient towards these curricula, and the distinctive elements, competences, experiences and values they include in their image of an educator. Statistical multi-dimensional methods of data analysis are used.     

Leader–follower equilibria to examine investment decisions in grid resilience-enhancing measures

Large-area, long-duration power outages are increasingly common in the United States, and cost the economy billions of dollars each year. Building a strategy to enhance grid resilience requires an understanding of the optimal mix of preventive and corrective actions, the inefficiencies that arise when self-interested parties make resilience investment decisions, and the conditions under which regulators may facilitate the realization of efficient market outcomes. We develop a bi-level model to examine the mix of preventive and corrective measures that enhances grid resilience to a severe storm. The model represents a Stackelberg game between a regulated utility (leader) that may harden distribution feeders before a long-duration outage and/or deploy restoration crews after the disruption, and utility customers with varying preferences for reliable power (followers) who may invest in backup generators. We show that the regulator's denial of cost recovery for the utility's preventive expenditures, coupled with the misalignment between private objectives and social welfare maximization, yields significant inefficiencies in the resilience investment mix. Allowing cost recovery for a higher share of the utility's capital expenditures in preventive measures, extending the time horizon associated with damage cost recovery, and adopting a storm restoration compensation mechanism shift the realized market outcome toward the efficient solution. If about one-fifth of preventive resilience investments is approved by regulators, requiring utilities to pay a compensation of $365 per customer for a 3-day outage (about seven times the level of compensation currently offered by US utilities) provides significant incentives toward more efficient preventive resilience investments.     

RECONSTRUCTING DNA COPY NUMBER BY PENALIZED ESTIMATION AND IMPUTATION

Recent advances in genomics have underscored the surprising ubiquity of DNA copy number variation (CNV). Fortunately, modern genotyping platforms also detect CNVs with fairly high reliability. Hidden Markov models and algorithms have played a dominant role in the interpretation of CNV data. Here we explore CNV reconstruction via estimation with a fused-lasso penalty as suggested by Tibshirani and Wang [Biostatistics 9 (2008) 18-29]. We mount a fresh attack on this difficult optimization problem by the following: (a) changing the penalty terms slightly by substituting a smooth approximation to the absolute value function, (b) designing and implementing a new MM (majorization-minimization) algorithm, and (c) applying a fast version of Newton's method to jointly update all model parameters. Together these changes enable us to minimize the fused-lasso criterion in a highly effective way.We also reframe the reconstruction problem in terms of imputation via discrete optimization. This approach is easier and more accurate than parameter estimation because it relies on the fact that only a handful of possible copy number states exist at each SNP. The dynamic programming framework has the added bonus of exploiting information that the current fused-lasso approach ignores. The accuracy of our imputations is comparable to that of hidden Markov models at a substantially lower computational cost.     

How to reconsider risk management in SMEs? An Advanced,Reasoned and Organised Literature Review

The purpose of this paper is two-fold: to reconsider the fundamental role of risk management (RM) in small and medium enterprises (SMEs) by identifying and critically analysing the most important international works; and to define opportunities for further studies by suggesting a different approach to study the topic. This research is based on a new hybrid method developed by the authors, called Advanced, Reasoned and Organised (ARO) literature review, which improves the quality of literature reviews by integrating the systematic review for quantitative papers, the meta-synthesis for qualitative research and the critical interpretative analysis. Forty-eight articles were included in the literature review. Bibliometric and cluster analyses were carried out. Two hypotheses were applied as filters in the interpretative synthesis of the content and guided the analysis to answer two research questions. The findings underline that RM in SMEs is still a ‘spot’ subject as they put little effort into the risk identification, assessment and monitoring. The lack of procedures and strategies is due to the lack of risk mindfulness and knowledge, and it is related to the managers’ and owners’ risk attitudes. It is fundamental to understand why risk procedures are not implemented and to find a way to raise awareness of the potential benefits of risk and control measures. The topic is current, and the multidisciplinary perspective and mixed-method approach enhance both theoretical and practical contributions for academics and SME owners.