Networked intimacy. Intimacy and friendship among Italian Facebook users

In this paper, we describe the results of a qualitative study conducted with 120 Italian Facebook users to investigate how Facebook enables people to achieve a mutually constitutive intimacy with their own friendship network: a negotiation of intimacy in public through self-disclosure, where the affordances of the platform are useful to elicit significant reactions, validations and demonstrations of affection from others. We observed that, in order to achieve various levels of intimacy on Facebook, people engage in various strategies: Showing rather than telling, Sharing implicit content, Tagging, Expectation of mutual understanding and Liking. These strategies produce a collaborative disclosure that relies on others’ cooperation to maintain the boundaries between private and public space. Based on these premises, we developed a framework of collaborative strategies for managing public intimacy that both systematizes and extends the findings identified in previous studies of intimacy on Facebook. We describe this framework as networked intimacy and we discuss the consequences of it in the light of already existing research on online self-disclosure.     

Italian Adolescent Gambling Behaviour: Psychometric Evaluation of the South Oaks Gambling Screen: Revised for Adolescents (SOGS-RA) Among a Sample of Italian Students

Since no Italian validated instrument focuses specifically on the measurement of pathological gambling in very young people, with this study, we aim to adapt an international instrument (SOGS-RA) and assess its psychometric properties in a sample (n = 14.910) of young Italian students aged between 15 and 19 years. Cross-cultural adaptation of the instrument was performed through translation, synthesis of translation, back-translation, expert committee review, and pre-testing. The kappa statistic for test–retest concordance ranged from 0.53 to 0.80. Internal validity was assessed by the MCA that identified one principal component with eigenvalue equal to 3,875: the Divgi index and very simple structure analysis also pointed out one common factor, so uni-dimensionality of the SOGS-RA was accepted. Moreover the SOGS-RA was found to have acceptable internal consistency (α = 0.780). Cronbach’s alpha was also assessed separately among males and females (respectively 0.786 and 0.707). The SOGS-RA was assessed in relation to gambling frequency, alcohol and drug use: Chi squared test revealed a strong association both for males and females with gambling frequency (p value ≤ 0.0001), frequent use of illicit drugs (for each drug p value ≤ 0.0001) and having had 3 or more occasions of binge drinking in the last month (p value ≤ 0.0001). At the end we can say that, the results of our study suggest that the SOGS-RA screen may be useful to assess at-risk or problem gambling for both genders in comprehensive youth surveys.     

Central Bank Macroeconomic Forecasting During the Global Financial Crisis: The European Central Bank and Federal Reserve Bank of New York Experiences

This article documents macroeconomic forecasting during the global financial crisis by two key central banks: the European Central Bank and the Federal Reserve Bank of New York. The article is the result of a collaborative effort between staff at the two institutions, allowing us to study the time-stamped forecasts as they were made throughout the crisis. The analysis does not exclusively focus on point forecast performance. It also examines methodological contributions, including how financial market data could have been incorporated into the forecasting process.     

Detecting serial dependencies with the reproducibility probability autodependogram

The autodependogram is a graphical device recently proposed in the literature to analyze autodependencies. This paper proposes a normalization of this diagram taking into consideration the concept of reproducibility probability (RP). The result is a novel tool, named RP-autodependogram, which permits to study the strength and the stability of the evidence about the presence of lag-dependence. A simulation study on well-established time-series models is carried out to investigate the behavior of the RP-autodependogram also in comparison with other diagrams studying autodependencies. An application to financial data is finally considered to appreciate its usefulness in the identification of parametric/nonparametric models.     

A New Approach to Rank Several Multivariate Normal Populations with Application to Life Cycle Assessment

The need to establish the relative superiority of each treatment when compared to all the others, i.e., ordering the underlying populations according to some pre-specified criteria, often occurs in many applied research studies and technical/business problems. When populations are multivariate in nature, the problem may become quite difficult to deal with especially in case of small sample sizes or unreplicated designs. The purpose of this work is to propose a new approach for the problem of ranking several multivariate normal populations. It will be theoretically argued and numerically proved that our method controls the risk of false ranking classification under the hypothesis of population homogeneity while under the nonhomogeneity alternatives we expect that the true rank can be estimated with satisfactory accuracy, especially for the “best” populations. Our simulation study proved also that the method is robust in the case of moderate deviations from multivariate normality. Finally, an application to a real case study in the field of life cycle assessment is proposed to highlight the practical relevance of the proposed methodology.     

Sustainable storage assignment and dwell-point policies for automated storage and retrieval systems

Picking time reduction has been the traditional perspective for warehouse optimisation. When sustainability is considered, optimisation of warehouse operations should be read in terms of energy efficiency other than response time. Each location in the rack of an automated storage and retrieval system is associated with the value of energy consumed by the crane to reach it. Since picking performance strictly depends on storage location assignments, the time-based full turnover strategy is compared to the energy-based one. Three models of energy consumption are considered for traditional and new-generation cranes. Assignments are then compared in terms of dedicated zone shapes, time and energy performances within a given time horizon. Different shapes of the rack and product ABC curves are analysed. Dwell-point policies are also analysed from the new sustainable perspective, adding energy-saving performance to the traditional picking time reduction.