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The purpose of this research is to trace the evolution of the claims used for advertising food products in Italian magazines, by analysing the content and structure of the claims, the target audiences and the elements that have the greatest influence on the presence of the claims in food advertising.

On the basis of the research conducted by Pratt and Pratt (1995), revised and adapted to the Italian food context, the authors designed a matrix of 1,316 advertisements, which were selected based on the analysis of 67,340 advertisements and using the reference to the food sector as a discriminator. The advertisements were extrapolated from a sample of six Italian magazines, so as to determine the extent to which the various demographic groups in Italy are exposed to print advertising for food, beverages and food supplements. The authors examined the frequency of the relevant advertising forms over a period of four years, from January 2014 to December 2017.

The results revealed the main types of claims used in the four-year period, as well as the statistically significant differences between the different magazine panels, as concerns the frequency and the types of messages. Moreover, a strong relationship between the number of advertisements in the magazines and the time of the year was also ascertained, as well as significant gender variations.

This study introduces the trends and dynamics of the Italian printed advertising for food to the relevant scientific literature. The results yielded by this research have added further implications and contributions to the existing studies, as concerns claim diffusion based on type, gender and seasonality, and the authors also provide important insights to various socio-economical stakeholders.

The purpose of this study is to underscore the impact of the family variable on performance. The authors were interested in understanding whether the differences between Family Firms (FFs) and Non-Family Firms (NFFs), on the one hand, and between large FFs and medium-sized FFs, on the other, were reflected in the performance achieved.

In this paper a sample of 80 industrial companies listed on the Italian Stock Market (FTSE MIB and STAR indexes) were considered, and mixed criteria to distinguish FFs and NFFs (Smyrnios-Romano et al., 1998) were used. The empirical method allowed the development of some research hypotheses by exploiting the Pearson correlation.

There are two main categories of FFs, which correspond to two different strategic and organizational categories, namely, the FFs listed on the large capitalized companies index (FTSE MIB) and the FFs listed on the medium-capitalized companies index (STAR). Each kind of FFs (large FFs and medium-sized FFs) has a specific effect on profitability and financial performance. Specifically, if a company is medium sized, family presence is a relevant variable in achieving better profitability and financial performance than NFFs of the same size; on the other hand, if the company expands to become a large one, the family presence is an irrelevant variable in terms of both profitability and financial leverage (debt ratio).

Limitations of the study concern the definition of the sample, as this paper focused on the industrial sector and the method adopted, as it could be integrated with some econometrical models. The implications of this paper are relevant for families and regulatory bodies because it helps them better understand the effects of governance and company size both on short- and long-term performance. Moreover, the findings of the study can influence the decision-making process of investors to identify the long-term outperformers listed on the Italian Stock Exchange.

This study contributes to the literature on FFs by defining two different categories of FFs, namely, large and medium-sized. It seems that larger companies record a weaker family influence on short-term profitability.

This study aims to investigate unripe carob pod as a source of antioxidant molecules useful in the eco-friendly synthesis of a gelatin conjugate. This one was involved in the preparation of gummies able to produce remarkable human health benefits.

Eco-friendly strategies (ultrasound-assisted extraction, low temperatures and eco-friendly solvents) were employed in the extraction of active molecules. Antioxidant molecules were involved in the grafting reaction with gelatin chains (ascorbic acid/hydrogen peroxide couple as initiator system). Gelatin conjugate represents a useful material able to prepare gummies with remarkable rheological and antioxidant performances over time.

Experimental results confirmed that the green approach allowed the achievement of extracts with remarkable antioxidant properties due to the presence of phenolic moieties. Gelatin conjugate synthesis preserved these functionalities, usefully exploited in the preparation of gummies with significant structural and biological features.

Compared to the literature data the preparation of the gummies with outstanding biological properties was performed by employing functional gelatin synthesized by an eco-friendly approach.

Looks at the first 100 years of Italian cinema examining its role in Italy’s recent history. Provides a bibliography of major film directors, Italian cinema sources, reference works, histories, themes, theory and criticism and articles in journals.

This paper contributes to the field of public services’ performance measurement systems by proposing a benchmarking-based methodology that improves the effective use of big and open data in analyzing and evaluating efficiency, for supporting internal decision-making processes of public entities.

The proposed methodology uses data envelopment analysis in combination with a multivariate outlier detection algorithm—local outlier factor—to ensure the proper exploitation of the data available for efficiency evaluation in the presence of the multidimensional datasets with anomalous values that often characterize big and open data. An empirical implementation of the proposed methodology was conducted on waste management services provided in Italy.

The paper addresses the problem of misleading targets for entities that are erroneously deemed inefficient when applying data envelopment analysis to real-life datasets containing outliers. The proposed approach makes big and open data useful in evaluating relative efficiency, and it supports the development of performance-based strategies and policies by public entities from a data-driven public sector perspective.

Few empirical studies have explored how to make the use of big and open data more feasible for performance measurement systems in the public sector, addressing the challenges related to data quality and the need for analytical tools readily usable from a managerial perspective, given the poor diffusion of technical skills in public organizations. The paper fills this research gap by proposing a methodology that allows for exploiting the opportunities offered by big and open data for supporting internal decision-making processes within the public services context.