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This conceptual paper proposes an intellectual capital (IC) framework dedicated to elite athletes (EA) to demonstrate the usefulness of IC on individual persons. Thus, it connects EA with the concept of IC.

The paper is inspired by the classical IC dimensions (human capital, structural capital and relational capital), which are used to develop the IC framework for EA. An exemplary case study is used to validate the framework.

It is argued that there is a need to adapt the traditional IC framework for EA. Therefore, this paper proposes a specific IC framework consisting of natural capital, sports capital and media capital.

This paper deals with EA and the sports industry, but should be extended to other sectors where aspects such as image and celebrity represent significant intangible resources.

The proposed IC framework can help EA and their managers to better understand how IC value is created.

This paper extends the IC concept to other fields of application, i.e. EA, and thus individual persons.

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.

The purpose of this study was to investigate the preference of health-warning message labeling in an eating-away-from-home context. The authors assessed individuals’ preference valuation of such messaging from a dual – consumer and citizen – perspective and with associated expected risk reduction (RR) level.

In an online stated choice experiment on Amazon’s Mechanical Turk (N = 658), participants were asked to provide willingness to pay (WTP) preferences for health-warning messages and based on the expected RR from health-warning messages. Two types of multiple price list questions were used for consumer and citizen contexts. Interval regression and descriptive analysis methods were applied to analyze the data.

The study found that individuals placed a higher value (higher WTP) on health-warning message labeling when acting as citizens rather than as consumers. An RR expectation of 50 per cent was most effective in increasing participants’ WTP. Individuals who ate out frequently were more concerned about healthier food messages, and the influence of gender and age on WTP was conditional on individuals’ roles as consumers versus citizens.

This study extends the theory of consumer-citizen duality to the context of health-related information labeling, thus opening the discussion to extending such labeling from traditionally risky behavior such as alcohol and tobacco to also including food choice behavior. The authors also highlight implications on policy and industry practices to promote healthy food choices through such messages.

The purpose of this paper is to demonstrate the importance of exploiting a geographic information system (GIS)-based data management, designed and implemented for an important monumental site. In particular, data collected during the years have been used to create a storytelling experience to disseminate the tangible and intangible heritage of Chan Chan (Peru), the wider site in mud bricks of Latin America.

The paper discusses the steps that have been performed to use the data stored in a GIS, arguing over the importance of sharing the knowledge through web-based tools, and in particular by the implementation of a storytelling. In this context, the data were structured in interoperable forms in order to preserve the universal value of the archaeological site. The exploitation in an all-in-one solution of the archival research, field surveys and planning represents a step forward for let known ancient testimonies to the whole mankind.

The GIS-based inventories represent the backbone for an affordable management of heritage resources. The novelty of the proposed approach lies on the creation of an integrated, accessible and updatable data system sharable on web.

The GIS of Chan Chan is an example of documentation of a wide archaeological area (14 km²) with complex and heterogeneous data. The developed web tool makes use of these data which can be queried even by non-expert users. The pipeline of this paper can act as useful guidelines to practitioners and researchers who want to disseminate cultural information.

In this chapter, we review the historical development of elite theory, and then we propose a way forward beyond it. Elite theory emerged as a critique of democracy in the late 19th century. Although it used historical materials illustratively, it tended to be ahistorical theoretically because its primary aim was to demonstrate the perdurance of elites even in conditions of mass suffrage. Lachmann was the first scholar to develop elite theory as a truly historical and explanatory framework by combining it with elements of Marxism. Even Lachmann's theory, however, remained inadequate because it did not rest on a fully articulated theory of power. In this introduction, we suggest a “relational power theory” as a remedy to this situation, and we use it to formulate a general heuristic for the study of elites, nonelites, and their interrelationships. To illustrate its utility, we show how it can illuminate the chapters in this volume (though they were not necessarily written for these purposes).

The purpose of this paper is to describe a methodology to deal with conformance checking through the implementation of computer-interpretable-clinical guidelines (CIGs), and present an application of the methodology to real-world data and a clinical pathway for radiotherapy-related oncological treatment.

This methodology is implemented by a software able to use the hospital electronic health record data to assess the adherence of the actual executed clinical processes to a clinical pathway, monitoring at the same time management-related efficiency and performance parameters, and ideally, suggesting ways to improve them.

Three use cases are presented, in which the results of conformance checking are used to compare different branches of the executed guidelines with respect to the adherence to ideal process, temporal distribution of state-to-state transitions, and overall treatment efficacy, in order to extract data-driven evidence that could be of interest for the hospital management.

This approach has the result of applying management-oriented data mining technique on sequential data, typical of process mining, to the result of a conformity check between the preliminary knowledge defined by clinicians and the real-world data, typical of CIGs.

The objective of the research is to evaluate the carbon footprint of the green asparagus (Asparagus officinalis L.) supply chain, encompassing the agricultural production to the packaging stage in Italy, as it is the sixth largest producer and the second largest in Europe. It provides an assessment in the province of Foggia and highlights the global perspective of the carbon footprint application in agro-food systems.

The carbon footprint (ISO 14067:2018) considers 1 t of packaged fresh asparagus as a functional unit in the agricultural production and packaging stage and is based on primary data collected in one of the leading companies of asparagus production in the province of Foggia, which markets about 0.21 kt of asparagus per year produced in about 31 ha. Data were integrated with face-to-face in-depth interviews and pre-filled checklists.

Findings show that the carbon footprint of 1 t of packaged fresh asparagus is equivalent to 335.31 kgCO2eq, of which 61% in the agricultural stage and 39% in the packaging one. The majority of the emissions are associated with the fertigation and the diesel consumption for the transportation of workers. Farmers should adopt green electricity so as to reduce the emissions associated with the electric pump for the extraction of water from artesian wells. Moreover, it would be desirable to replace mineral urea phosphate with organic fertilizers.

To the best of the authors’ knowledge, scholars have not yet investigated the environmental impacts of the green asparagus supply chain, even if it represents one of the most cultivated vegetables worldwide, with a global production that amounts to 8.5 Mt per year.

This paper aims to analyze the problematic relationship between the Left, the commercial revolution and the progressive growth of mass consumption during the Italian economic miracle.

Taking for example the city of Bologna, the most important city run by the Italian communist party, the paper problematizes the socio-economic and political – institutional processes connected with the emergence of “American-like” commercial and distribution strategies, and of consumerist identities.

Bologna’s administrators governed the commerce through a rationalization supported by urban planning, including the establishment of a chain of “associated supermarkets”, built on municipal areas and financed by a mixed-capital company set up for that purpose. At the same time, they sought to protect small retailers to gain their political consensus and to contain crisis-related anxieties among the consumers, a category which has still an uncertain identity in Italy.

Much remains to be seen in the characteristics of the Italian miracle, and in the manner it was ruled. The case of Bologna illuminates an important piece of the Italian Left’s attempt to interpret and to lead the modernization of the country.

The purpose of this paper is to propose a model of innovation and internationalization for small- and medium enterprises (SMEs) and at testing it on tradition-based firms. These are SMEs whose productions reflect their territory's cultural identity. They are often micro-firms and weak in global markets. Since these firms characterize the European and Italian offer, the scientific challenge is to verify whether there are possible strategic paths, mainly based on interfirm collaboration and dynamic knowledge, that can help them getting higher levels of competitiveness. More specifically, the proposed model aims at understanding if it is possible to overcome these firms’ weaknesses through collaboration in networking perspective.

Methodology uses theoretical backgrounds in order to define hypotheses. The main approach starts from contributions on RBT and dynamic capabilities and their possible linkages in the internationalization perspective. Thus, considering the aims, the paper analyze if according to resource-based approach, dynamic capabilities allow entrepreneurs to seek opportunities which become strategic resources for a sustainable competitive advantage. This issue is analyzed both in theoretical terms and in its empirical implications in artistic craft sector. The empirical research has been designed in order to explain knowledge creation and transfer processes, in terms of firms’ competitiveness. Particularly, the analysis adopts multiple case studies methodology.

Tradition-based “Made in Italy” SMEs, as depicted in the empirical analysis, are characterized by limited size and scarce financial resources. This situation determines a difficult access to innovation in order to compete in global market. Thus, the research has highlighted that the only internationalization path, useful for this kind of firms, is cooperation, in a networking perspective. Firms that succeed in this process not only set the basis for survival but even to gain competitive advantage.

Through this analysis, the paper proposes a model of innovation and internationalization for SMEs’ development. Particularly, the model will be replicable to all those firms that are expression of cultural identity (e.g. “made in”) and of tradition, for which innovation and internationalization can represent useful keys to compete globally.

The paper provides a connection between RBT, dynamic capabilities and internationalization theories applied to tradition-based sectors, such as craft, in search of innovation, in order to compete internationally. So the paper investigates also on the internationalization and networking processes, in order to verify if combined dynamic capabilities and resources are able to make these firms more competitive. Moreover, the research field is quite unexplored and represents an important step in the theoretical and empirical evolution.

In this article, the authors analyse the impact of the 2020 lockdown and the subsequent measures to contain the spread of COVID-19 in Italy in the hospitality industry by looking at the social demands brought forward by the restaurant sector.

To analyse social demands, the authors choose Twitter as an observation point using two hashtags as keywords to scratch the data: #iononriapro and #ioapro, which correspond to two different instances conveyed by the same subject: the restaurant sector. The instances linked to the hashtags produced different levels of engagement and penetration within the social structure and digital platform. To analyse the first block of data linked to the first hashtag-flag #iononriapro, the authors used content analysis. To analyse the second and third block of data linked to the hashtag-flag #ioapro, the authors used an automatic procedure, emotional text mining.

The analysis procedures allow us to reconstruct the positioning of the topics of closures and reopenings due to lockdown in this sector and to identify two explanatory dimensions: structural and affective, which explain the tension that has emerged between the State and the restaurant sector around COVID-related closures.

The study's findings not only contribute to the current understandings of the birth, transformation and penetration of social issues by the restaurant sector over the specific period linked to the COVID-19 pandemic and the measures imposed for its containment but are also valuable to analyse the dynamics through which Twitter hashtags and the social issues they represent find strength or lose interest in the public.