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Italy has become a migrant receiving country and it has to face with the problem of social inclusion of immigrants. The purpose of this paper is to measure the gap on poverty and deprivation between immigrants and natives since manifest conditions of both of them are an important signal, although not exclusively, of social exclusion.

Poverty analysis typically relies on a single monetary variable such as income and it is characterized by a simple dichotomization of the population into poor and non-poor. In this paper the authors stress the importance of using a multidimensional and fuzzy approach in order to study disparities between immigrants and natives. The authors cover several of the multifaceted aspects of resources necessary to maintain adequate living standards in a developed country. With the fuzzy methodology, the authors also overcome any limitation of the conventional approach based on the simple dichotomization of the phenomenon.

The empirical analysis is based on data from two official surveys. The authors find that between Italian and immigrant households there are significant differences in poverty and deprivation levels, with a strong disadvantage for the latter. The authors argue that any serious attempt to reduce poverty and deprivation must now include comprehensive reforms in the nation's immigration policies if they are to be taken seriously.

The paper makes an original contribution to the understanding of inequality between immigrants and natives, by studying a complex phenomena such as poverty and deprivation in a multidimensional perspective using a fuzzy approach.

This paper aims to investigate the role of predictive models in the learning and decision-making processes of strategic management. The rapid advancement of digitalisation has contributed to increasing the complexity of the worldwide economy and led to various new competitive dynamics.

To achieve this purpose, a literature review has been carried out and a predictive model based on Watson, an IBM supercomputer, is presented as a qualitative process model.

Specific insights derived from a review of the literature highlight organisations' need to modify their decision- and strategy-making processes, which are increasing in speed and frequency, thus also leading to the formulation of emergent and trigger event strategies based on the identification of conditions that require the revision of all or part of the firm's strategy. Predictive models, acting as filters, transform data into informative knowledge that decision-makers can interpret based on individual domain knowledge.

From a theoretical point of view, this paper contributes to the field of digital transformation by proposing the economics of complexity as a paradigm through which to observe and study the issue of predictive models in strategic management. Additionally, the authors analyse the phenomenon from a cognitive perspective, defining the new learning dynamics of digital transformation and the social learning cycle triggered by big data and predictive models. From a managerial and policy-making point of view, this suggests the need to re-shape traditional education contents and dynamics and foster skills that are multi-disciplinary, multi-domain, multi-empathic, multi-interaction and multi-communication between people and things.

This study aims to mitigate the inherent challenges associated with implementing project-based learning (PjBL) by integrating it with the service engineering methodology (SEEM). The study demonstrates that combining PjBL with a methodological approach provides a step-by-step procedure that facilitates the practical application of PjBL and preserves the development of competencies inherent to PjBL.

Action research methodology was used to assess the effectiveness of combining PjBL learning strategy with SEEM. Data was collected through observations, questionnaires and focus group discussions to evaluate students’ expectations and perceptions of this combination.

The results show that PjBL implementation combined with SEEM enabled the organization of class dynamics, helping to mitigate difficulties encountered in the application of PjBL. Students conveyed that the integration of PjBL with SEEM afforded them a guiding structure without compromising their autonomy in decision-making for proposed solutions. It proved efficacious in honing skills pertinent to service design and analysis, teamwork, solution formulation, creativity and innovation stimulation.

This research has been limited to four classes in one university in Brazil. Besides, PjBL was combined with only one methodology (SEEM). Therefore, this needs to be tested in broader settings and contexts.

The article highlights the potential benefits of PjBL in bridging the gap between academia and the professional world while acknowledging the challenges involved in its implementation, combining PjBL with a methodology that provides a sequence of steps to be followed.

The social implications of implementing PjBL in higher education in the Brazilian and international contexts are multifaceted. The adoption of PjBL encourages instructors to adapt their learning strategies and align them with the evolving needs of worldwide society. Through PjBL, Brazilian and international higher education institutions may contribute to the development of individuals who are not only knowledgeable but also capable of applying their knowledge effectively in practical situations around the world.

The theoretical contribution lies in suggesting that combining PjBL with a methodology that provides a sequence of steps to be followed (such as that exemplified through SEEM) can address intrinsic issues that consider the complexity of PjBL implementation, preserving the development of competencies inherent to PjBL.

The purpose of this paper is to advocate the use of scenario analysis to develop foresight for the improvement of policies supporting rural entrepreneurship and illustrate the approach with an application in Mid Wales.

A general overview of the economic problems of rural areas and their manifestation in the case study of Mid Wales is followed by an outline of the origins and approach of scenario analysis. Application of the technique involved a group of policy makers and entrepreneurs undertaking a structured programme of scenario development. The resulting scenarios, their usefulness for enterprise support, and wider implications are summarised.

The scenario analysis exercise enabled key stakeholders to confront and deal with considerable uncertainties by developing a shared understanding of the barriers to small firm growth and rural economic regeneration.

A major conclusion is that effective approaches for support of rural entrepreneurship differ widely according to context and need to take in to account a range of external issues. Further research, which extends the approach beyond the case discussed in this paper and focuses on the social learning dimension of participation, would help to validate these findings.

The use of scenarios for the analysis of policy questions is rare and this paper opens new ways of working for enterprise agencies and other stakeholders promoting the growth of employment and income in a rural context.

The objective of this paper is to investigate the impact of risk disclosures on firm value. We further investigate whether effective governance moderates the relation between risk disclosures and firm value.

We use a sample of the top 200 Indian listed firms on NSE from 2013 to 2018. The generalised method of moments (GMM) along with the ordinary least square (OLS) is used to investigate our research problem. Further, we use the Propensity Score Matching (PSM) technique and the Heckman selection model for correcting selection bias in the robustness section.

We find that higher risk disclosures result in lower firm value. Besides, we show that better governance minimizes the negative impact of risk disclosures on firm value. This finding encourages firms to have a good governance mechanism to mitigate the adverse effects of risk disclosures in public.

The main contribution of our paper is to examine the moderating effect of governance between risk disclosures in the annual report and firm value (market-based and accounting-based) in the context of an emerging economy. Moreover, the paper highlights the potential moderating effect of independent directors and resourceful boards on the risk disclosures and firm value in the Indian context.

This study examines how English teachers use culturally relevant pedagogy (CRP) to support postsecondary readiness for underrepresented students in the context of dual credit (DC) coursework in the USA. Postsecondary readiness, termed “college readiness” in the USA, refers to the skills and knowledge students need to succeed at a university. DC courses are university-level classes delivered to high school students through partnerships with postsecondary institutions, most often two-year community colleges. The purpose of this study is to highlight practices and institutional conditions that enable English instructors to foster postsecondary opportunity for all.

Using an interpretive approach, this qualitative study analyzes data derived from in-depth interviews with five community college English instructors who teach DC to diverse high-school students and who apply CRP in their classroom practice.

Findings reveal that instructors used culturally relevant approaches not only to help students access dominant college-ready skills, but also to reimagine what constitutes college readiness to begin with. Instructors also took advantage of their unique positioning as postsecondary instructors working with secondary students, leaning on academic freedom to push boundaries with their curriculum.

This study shows how English instructors are uniquely positioned to enhance university preparation and build a more inclusive vision of postsecondary readiness for all students. The study also highlights institutional conditions, such as teacher autonomy, pedagogical training and administrator support, that can promote culturally relevant postsecondary preparation in English classrooms.

The purpose of this paper is to identify the issues and challenges in humanitarian logistics and to develop a framework for effectively managing the humanitarian logistics in disaster relief supply chain operations in India.

This paper presents a framework to manage humanitarian logistics effectively in disaster management through qualitative analysis. First, the author examines the challenges facing the humanitarian logistics and supply chain through the reviews of the literature on various disasters. Then, the author presented a framework based on the best practices and initiatives taken worldwide in the preparedness and response stage of the humanitarian supply chain to manage and reduce the aftermath of any disaster in context to India.

A framework has been developed to manage humanitarian logistics in the disaster relief operation, which would improve the humanitarian supply chain in India and help to effectively manage natural disasters in the preparedness and response stage at the state and district levels.

The paper mainly emphasises on the preparedness and response stage of disaster supply chain management in Indian context.

None of the disaster incidents can be stopped from taking place, but the impact can be minimised by proper preparedness and effective response during the operations of humanitarian logistics. With this hope, the framework has been developed, which if implemented would help to plan and manage any disaster incident in an effective manner, which ultimately would save millions of lives and cost in terms of infrastructure, property, assets etc.

As natural disaster incidents are occurring frequently in Indian states, there is an urgent need for a framework to manage the logistics operations effectively and efficiently during any disaster relief operations. Limited literature is found on developing and presenting a framework focusing on the preparedness and response phase of disaster supply chain management in context to India. Hence, this paper is believed to be the first to fulfil this gap with main emphasis on the preparedness and response stage of disaster supply chain management in Indian scenario.