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The aim of this paper is to suggest a new approach to the problem of sales forecasting for improving forecast accuracy. The proposed method is capable of combining, by means of appropriate weights, both the responses supplied by the best-performing conventional algorithms, which base their output on historical data, and the insights of company’s forecasters which should take account future events that are impossible to predict with traditional mathematical methods.

The authors propose a six-step methodology using multiple forecasting sources. Each of these forecasts, to consider the uncertainty of the variables involved, is expressed in the form of suitable probability density function. A proper use of the Monte Carlo Simulation allows obtaining the best fit among these different sources and to obtain a value of forecast accompanied by a probability of error known a priori.

The proposed approach allows the company’s demand forecasters to provide timely response to market dynamics and make a choice of weights, gradually ever more accurate, triggering a continuous process of forecast improvement. The application on a real business case proves the validity and the practical utilization of the methodology.

Forecast definition is normally entrusted to the company’s demand forecasters who often may radically modify the information suggested by the conventional prediction algorithms or, contrarily, can be too influenced by their output. This issue is the origin of the methodological approach proposed that aims to improve the forecast accuracy merging, with appropriate weights and taking into account the stochasticity involved, the outputs of sales forecast algorithms with the contributions of the company’s forecasters.

This paper aims to appraise the effectiveness of gender quotas in breaking the glass ceiling for women on boards (WoBs) in companies that are legally obliged to comply with quotas (listed companies and state-owned companies, LP) and in those that are not (unlisted companies and nonstate-owned companies, NLNP). Furthermore, it investigates the glass cliff phenomenon, according to which women are more likely to be appointed to apical positions in underperforming companies.

A balanced panel data of the top 116 Italian companies by total assets, which are present in both 2010 and 2017, is used for estimating ANOVA tests across sectors and fixed-effects panel regression models.

WoBs significantly increased in both the LP and the NLNP companies, and this increase was greater in the financial sector. Furthermore, the relationship between the percentage of WoBs and firm performance is not linear but depends on the financial corporate health. Specifically, the situation in which a woman ascends to a leadership position in challenging circumstances where the risk of failure is high (glass cliff phenomenon) is only present in companies with the lowest performance in the sample, in other words, when negative values of Roe and negative or zero values of Roa occur together.

These findings have relevant policy implications that encourage the adoption of gender quotas even in specific top positions, such as CEO or president, as this could lead to a “double spillover effect” both vertically, that is, in other job positions, and horizontally, toward other companies not targeted by quotas. Practical interventions to support women in glass cliff positions, on the other hand, relate to the extent of supervisor mentoring and support to prevent women from leaving director roles and strengthen their chances for career advancement.

The authors explore the ability of gender quotas to break through the glass ceiling in companies that are not legally obliged to do so, and to the best of the authors’ knowledge, for the first time, the glass cliff phenomenon in the Italian context.

The purpose of microcredit is to offer small loans to people who are not covered by traditional financial channels. It can facilitate entrepreneurship, boosting local socio-economic development and improving environmental and political factors.

This paper aims to analyse microcredit in Italy, focusing on a project based in Rione Sanità, Naples. Rione Sanità is one of the poorest areas of Southern Italy, displaying high rates of criminality and unemployment, especially among youth, women, migrants and the vulnerable. The district is renowned for its fine and ancient handicrafts, food, trade and historical heritage – potential drivers for boosting tourism in the area. Qualitative methodologies were used to collect primary data through field visits and interviews with project bankers, local businesses, artisans, associations and religious representatives, project volunteers, as well as participation at local meetings. These data were corroborated by budget analysis based on the project's accounting.

The study shows encouraging results for the project and policy prospects. Despite the tiny starting numbers, there emerges a significant potential for microcredit to spread in the district, as in Southern Italy, providing an effective strategy to combat unemployment, usury and criminality, yielding community development and favoring broad societal challenges.

With this evidence, the paper attempts to shed some light and verify the potential of microfinance projects as a driver of sustainable development and ethical finance in poor areas of developed countries.

The chapter analyzes the characteristics of a new political subject, the Five Star Movement, which arose in Italy in 2005 (as local civil lists), was officially constituted in 2009, and became the most voted-for party in the 2013 general election, when the country was hit by a strong surge of populism. This party was founded by the Italian comedian Beppe Grillo and launched via his Internet blog. The chapter will be divided into five parts: a brief introduction about the general context and a description of the Italian political framework and the general crisis of traditional parties, setting the scene from which the discussion will develop. Then, in Section “‘People against the Parties’: The Five Star Movement’s Populist Messages,” I will describe the global characteristics of the Five Star Movement, with an analysis of Grillo’s party communication style, especially its use of social media, its people call (with its enemies), and its mobilization strategies. In Section “Inside the Movement: The Party’s Structural Characteristics,” I will describe the party’s internal organization, in order to underline some controversial elements. In the conclusion I will hazard some hypotheses about the party’s destiny, compared to other populist examples.

This paper aims to analyse the role of a network in the development of female business experiences through the study of the Industrie Femminili Italiane (I.F.I.) (Italian Women’s Cooperative Enterprise), founded in 1903 in Rome to promote women’s work and their economic conditions.

This study applies the embeddedness theory for women’s empowerment that provides a valuable lens to explore the interactions between female entrepreneurs and their social, cultural and economic contexts.

With this study, the authors found that the network structure was used at the beginning of the past century in Italy as a useful instrument for female emancipation and empowerment, extending to common/not exceptional women entrepreneurial opportunities otherwise reserved for rich and noble women. In the interplay among the different “contexts” (political, social, cultural and cognitive), it seems to emerge the incidence of female social relationships in facing an unfavourable political and cultural context, breaking out the norms and allowing the business to exist and influencing, with the activity of the high social standing women, the cognitive structure of the other female workers, make them active participants in this entrepreneurial activity.

This is a single case study that has shed light on a specific female network, and the authors’ findings and considerations are influenced by the shortage of data and sources available. Demonstrating that I.F.I. is the result of the collaboration of women from different social classes involved at different organisational levels, this work shows, from a historical perspective, the importance of female mutual support for their emancipation and the role played by the network structure as an amplifier of possibilities otherwise limited to rich women, the emancipation of women and minorities in countries characterised by important barriers to entrepreneurship.

To the best of the authors’ knowledge, this is the first paper analysing a female entrepreneurial network from a historical point of view and its role in overcoming gender barriers within the analysis of the interplaying contexts.

This study intends to test the relationship between banks’ board diversity, detected with age and gender characteristics, and banks’ social performance. The resource dependence theory posits that board diversity is a strategic tool able to enrich the board of directors by expanding skills and the number of links with stakeholders, which have a strategic role in achieving a competitive advantage and sustainable goals, especially in the banking sector.

The research hypotheses are tested using a sample of 46 European banks observed from 2009 to 2017. The gender and age diversity data of bank board members are hand-collected from banks’ social reports.

The empirical results show that bank social performance is positively influenced by board gender and age diversity. Thus, the human capital determined by a higher bank’s board diversity constitutes an essential resource for adopting more sustainable business models.

This paper analyses the association between board diversity and social performance, providing empirical evidence for the European banking sector in the period after the 2008 global financial crisis. The banking literature provides scarce evidence on the topic; however, the empirical results claim the strategic importance of the appointment of directors to the banks’ boards to balance corporate strategy with social and environmental issues generating a positive impact on sustainable growth.

This paper aims to explore the interplay between international experiences and male and female top managers' career paths, taking into consideration gender differences. Furthermore, the research investigates the specific job and personal demands and resources related to the different types of international work experiences.

This study provides an in-depth subjective reconstruction of the international professional experience of 37 male and female top managers employed in Italy, using semi-structured interviews.

Participants highlighted the benefits of their international assignments (IAs) in terms of the development of managerial, soft and cross-cultural skills. Family issues and cultural differences were frequently cited as challenges by the top managers interviewed. Culture shock and perceived difficulty in managing multicultural teams were reported by both women and men. Men reported experiencing long periods of separation from their family more often than women and cited the support of their partner as a valuable resource. In addition to the support of a partner, women also indicated that certain job resources and welfare policies played a crucial role. Moreover, women appear to be more interested in work-family management issues, thus suggesting that the traditional division of roles between men and women continues to persist in Italy.

This study provides an insight into the extrinsic factors linked to career success, as well as the challenges and the resources associated with different forms of global work other than traditional expatriation. It takes into consideration a specific country, Italy, where a traditional family paradigm persists, providing an insight into better understanding the link between IA experiences and gender roles in global mobility. Managerial implications are also discussed.

The purpose of this paper is to develop a hybrid algorithm using differential evolution (DE) and prediction error modeling (PEM) for identification of small-scale autonomous helicopter state-space model.

In this study, flight data were collected and analyzed; MATLAB-based system identification algorithm was developed using DE and PEM; parameterized state-space model parameters were estimated using the developed algorithm and model dynamic analysis.

The proposed hybrid algorithm improves the performance of the PEM algorithm in the identification of an autonomous helicopter model. It gives better results when compared with conventional PEM algorithm inside MATLAB toolboxes.

This study is applicable to only linearized state-space model.

The identification algorithm is expected to facilitate the required model development for model-based control design for autonomous helicopter development.

This study presents a novel hybrid algorithm for system identification of an autonomous helicopter model.