Results of Gottman Method Couples Therapy with Gay and Lesbian Couples

The results of an uncontrolled study of Gottman Method Couples Therapy in changing relationship satisfaction with 106 gay and lesbian couples is reported in this paper. Measurement of relationship satisfaction was conducted at five separate time points. The data show significant improvements in relationship satisfaction following eleven sessions of therapy for both gay male and lesbian couples. Effect sizes suggest that this therapy was highly effective, compared to the usual 0.5 standard deviation effect size in couples therapy. Initial co‐morbidities did not affect the size of the changes; in fact, some changes were significantly larger for three initial co‐morbidities.     

Entrepreneurial Orientation in low- and medium-tech industries: The need for Absorptive Capacity to increase performance

The implications of Entrepreneurial Orientation (EO) for firm performance in low- and medium-tech (LMT) industries are largely unexplored and seem to be limited. In this paper we seek to address this research gap studying how Absorptive Capacity can act as a key factor determining the effectiveness of EO in such a context. Specifically, we adopt the knowledge-based view of the firm and explore the moderating effects of Absorptive Capacity’s Potential and Realized dimensions on the EO–performance relationship in LMT industries. Our regression results based on a lagged dataset of 103 medium-sized firms based in Italy confirm our hypotheses that, in LMT industries, EO has a positive effect on firm performance when coupled with high levels of both Potential and Realized Absorptive Capacity.     

The effect of natural disasters on nuptiality: evidence from L’Aquila earthquake (Italy)

Population and Environment - Drawing on socio-psychology and economics literature contributions, this paper provides an original conceptual framework examining whether and how natural disasters...     

Multiple Criteria Hierarchy Process with ELECTRE and PROMETHEE

Robust Ordinal Regression (ROR) supports Multiple Criteria Decision Process by considering all sets of parameters of an assumed preference model, that are compatible with preference information elicited by a Decision Maker (DM). As a result of ROR, one gets necessary and possible preference relations in the set of alternatives, which hold for all compatible sets of parameters, or for at least one compatible set of parameters, respectively. In this paper, we propose an extension of ELECTRE and PROMETHEE methods to the case of the hierarchy of criteria, which was never considered before. Then, we adapt ROR to the hierarchical versions of ELECTRE and PROMETHEE methods.     

Determinants of Foreign Workers’ Wages in Two Italian Regions with High Illegal Immigration

Since the end of the 1970s Italy has moved from being an out-migration country to being a foreign immigration country, but very few studies have addressed the factors determining the wages of immigrant workers, owing to the lack of available data. In this paper we analyse the determinants of the wages of immigrants in some areas of Latium and Campania, where the share of illegal immigration is relatively high, using the results of a set of sample surveys which collected information on several aspects of the immigration process in the years 1993–94. The purpose of the article is to shed some light on the factors underlying wage distribution among the immigrants using an estimation method that controls for sample selection problems. According to the empirical results, income differences seem to be relatively high among immigrants. Differences in labour market integration among sexes and area of origin clearly emerge from the results. Moreover, legal status plays an important role in the explanation of the wage gap between documented and undocumented immigrants, also because of the different occupational sector structure in the two groups.