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The European Union (EU) energy supply environment is changing significantly and in a dynamic way, establishing the issue of safe energy imports as main priority. Greece relies heavily on energy imports. Furthermore, Greece aims to be elevated into an energy cross road for the energy supply to the EU. In this respect, the aim of this paper is the investigation of the suitability of graph theory concepts on energy supply networks and its application to represent energy corridors to Greece.

Supporting frameworks to represent and assess the vulnerability of the corridors satisfying the Greek demand in oil and gas are considered a crucial issue and are presented in this paper, based on the graph theory approach. In addition, a pilot application of the shortest path algorithm and the maximum flow at minimum risk algorithm for the oil and gas corridors to Greece is presented and discussed.

This paper introduces the application of graph theory to energy policy analysis. Indeed, the pilot application in oil and gas supply corridors to Greece, although quite simplified, has indicated the applicability of graph theory concepts in such problems and is considered a step forward of the existing studies, supporting the design efforts towards the development of a more reliable energy supply system.

To the best of the authors' knowledge, graph theory's application to energy corridors is not available in the international literature. In this respect, the added value of the paper is the provision of a sufficient decision support framework for the representation and assessment of the energy corridors' risk of energy availability, through the application of graph theory.

Greece is a net importer of oil and gas and is among the most vulnerable countries of the European Union (EU) on energy supply disruptions. Furthermore, is considered a “crossroad” of existing and forthcoming infrastructure for importing energy to the EU. The purpose of this paper is the presentation of the web tool that implements the developed methodology for the quantification of socio‐economic risks of oil and gas corridors. The tool is applied to the main present and future oil and gas corridors to Greece, and the related outcomes are discussed.

A structured and coherent review on the future and present oil and natural gas (NG) corridors to Greece was elaborated, based on desk analysis and collection of the related data from national and international sources. Factor analysis was employed for the quantification of socio‐economic risks of each energy corridor. Particular emphasis was laid on the tool's design, so as to be user‐friendly, combining intuitive menus and navigation throughout the steps of the system.

The calculation of socio‐economic risks of the main oil and gas corridors to Greece provides operative and measurable concepts for supporting energy‐modelling processes. Indeed, this paper provides useful insights on the factors affecting the smooth energy supply and the reliability of oil and gas supply options to the Greek energy system. Moreover, the presented web tool can be used as a reference point for the researcher working on energy supply risks quantification.

The introduction of the energy corridors perspective in the valuation of supply security is of significant importance, taking into account the constantly increasing energy dependence of EU countries. To the best of the authors' knowledge, a structured and coherent review of the future and present oil and NG corridors to Greece is not present in the international literature. In addition to this, the development of the web tool is a clear contribution towards the quantification of the economic and socio‐political risk analysis and a step forward of the existing studies.

As part of the recent global financial crisis, Europe has experienced a double crisis (financial crisis and Euro crisis) leading to a double dip recession, meaning that the effects of the crisis have been longer and more severe. Tourism, specifically the hospitality industry, is important for the economy of Southern European countries, where the crisis has been the worst. Spain especially depends on tourism as important source of GDP. Therefore, the purpose of this paper is to identify the contributing factors to better manage the crisis impacts and anticipate future impacts.

The authors examine the performance of a sample of 7,293 Spanish hospitality companies based on data from 2008 to 2011. With the aim of testing the hypotheses, a multivariate regression analysis was performed.

Results show the importance of a direct effect over both internal (workforce as well as hotel characteristics) and external factors (destination-related GDP spending) for growth, with varying influence across factors. Nevertheless, the most influenced are the moderated effects among the workforce and external variables.

This study contributes to the literature by providing a firm-level analysis (rather than an industry-level analysis) and offers an almost complete picture of a specific geographical area. Future research should address the performance of other tourism industries in times of crisis, such as restaurants and travel agencies, and the relationships between performances in different tourism industries. Regarding the limitations of the paper, the main limitation is associated with the use of panel data from an official database. These include problems in the design, data collection and data management of panel surveys.

These findings help the hospitality industry to understand the relevant drivers and coping strategies associated with the hospitality industry during a financial crisis.

This study is focused on the firm-level analysis instead of an industry-level analysis and can thus give advice to the strategic behaviour of companies.

Traditionally, management scholars have conceptualized the business model as a locus of innovation, planning tool, heuristic logic, or market device. However, so far, little is known about how the model is being applied in practice. To address this gap, this study aims to introduce a strategy‐as‐practice perspective and to explore the implications and limitations of applying the business model as a strategizing device.

A single‐case study design was selected to explore the implications and limitations of using the business model as a strategizing device in a high‐tech firm.

The business model provides a valuable structural template for mapping the current business model of a firm. However, in developing and discussing strategic options, it acts more as a symbolic artifact stimulating a creative decision‐making process than as an analytic tool with a clear sequence of steps.

When working with the business model concept in practice, its technical and linguistic legitimacy is initially highly limited. In the process of gaining legitimacy, however, a collective lock‐in to the current strategic identity may arise. Managers have to be aware of these limitations and need to achieve an appropriate balance within the organization.

The study introduces a social practice perspective into the business model debate, with a special emphasis on the implications and limitations of applying the business model concept as a strategizing device in a real‐life setting.

This study aims to examine the development of dynamic capabilities and their effect on the competitive advantage of restaurants in 2009, one year after the beginning of the global financial crisis.

The restaurants were personally surveyed to discern the importance of proactive and reactive strategies for the organization. The resulting two organizational effects – cost cutting and the development of dynamic capabilities – were tested for their influence on competitive advantage.

The findings show that both proactive and reactive strategies reduce costs; however, only proactive strategies develop dynamic capabilities that improve competitive advantage.

The conclusions are drawn from a small sample of restaurants in Madrid, the capital of Spain. Given that Madrid enjoys a higher standard of living and greater business expenditures than other cities, the results may not be generalizable to the rest of the country or to other southern European capitals.

Managers must use proactive strategies for companies to survive during times of crisis. A focus on proactive strategies will improve a company’s competitive position.

Policy makers should support the development of proactive strategies and provide an adequate infrastructure of counseling and network creation.

To the best of our knowledge, no previous research specifically analyzes both the type of strategy deployed and its subsequent effect on dynamic capabilities and the consequences of the strategy on competitive advantage during a financial crisis.

There are very few individuals who have studied the question of weights and measures who do not most strongly favour the decimal system. The disadvantages of the weights and measures at present in use in the United Kingdom are indeed manifold. At the very commencement of life the schoolboy is expected to commit to memory the conglomerate mass of facts and figures which he usually refers to as “Tables,” and in this way the greater part of twelve months is absorbed. And when he has so learned them, what is the result? Immediately he leaves school he forgets the whole of them, unless he happens to enter a business‐house in which some of them are still in use; and it ought to be plain that the case would be very different were all our weights and measures divided or multiplied decimally. Instead of wasting twelve months, the pupil would almost be taught to understand the decimal system in two or three lessons, and so simple is the explanation that he would never be likely to forget it. There is perhaps no more interesting, ingenious and useful example of the decimal system than that in use in France. There the standard of length is the metre, the standard of capacity the cubic decimetre or the litre, while one cubic centimetre of distilled water weighs exactly one gramme, the standard of weight. Thus the measures of length, capacity and weight are most closely and usefully related. In the present English system there is absolutely no relationship between these weights and measures. Frequently a weight or measure bearing the same name has a different value for different bodies. Take, for instance, the stone; for dead meat its value is 8 pounds, for live meat 14 pounds; and other instances will occur to anyone who happens to remember his “Tables.” How much simpler for the business man to reckon in multiples of ten for everything than in the present confusing jumble. Mental arithmetic in matters of buying and selling would become much easier, undoubtedly more accurate, and the possibility of petty fraud be far more remote, because even the most dense could rapidly calculate by using the decimal system.

The purpose of this paper is to boost multidisciplinary research by the building of an integrated catalogue or research assets metadata. Such an integrated catalogue should enable researchers to solve problems or analyse phenomena that require a view across several scientific domains.

There are two main approaches for integrating metadata catalogues provided by different e-science research infrastructures (e-RIs): centralised and distributed. The authors decided to implement a central metadata catalogue that describes, provides access to and records actions on the assets of a number of e-RIs participating in the system. The authors chose the CERIF data model for description of assets available via the integrated catalogue. Analysis of popular metadata formats used in e-RIs has been conducted, and mappings between popular formats and the CERIF data model have been defined using an XML-based tool for description and automatic execution of mappings.

An integrated catalogue of research assets metadata has been created. Metadata from e-RIs supporting Dublin Core, ISO 19139, DCAT-AP, EPOS-DCAT-AP, OIL-E and CKAN formats can be integrated into the catalogue. Metadata are stored in CERIF RDF in the integrated catalogue. A web portal for searching this catalogue has been implemented.

Only five formats are supported at this moment. However, description of mappings between other source formats and the target CERIF format can be defined in the future using the 3M tool, an XML-based tool for describing X3ML mappings that can then be automatically executed on XML metadata records. The approach and best practices described in this paper can thus be applied in future mappings between other metadata formats.

The integrated catalogue is a part of the eVRE prototype, which is a result of the VRE4EIC H2020 project.

The integrated catalogue should boost the performance of multi-disciplinary research; thus it has the potential to enhance the practice of data science and so contribute to an increasingly knowledge-based society.

A novel approach for creation of the integrated catalogue has been defined and implemented. The approach includes definition of mappings between various formats. Defined mappings are effective and shareable.

Artificial intelligence (AI) is vastly impacting the digital transformation of societies, economies, businesses, markets and enterprises, at a very fast pace, mostly after the global success of the generative algorithms. In this respect, this study, with an exploratory intention, aims to provide evidence about the fundamental issues of AI, particularly if generative, when adapted to humanism, with a specific focus on the wine business.

An exploratory analysis, conducted on a convenience sample of wine business operators, has been performed to investigate AI applications when connected with the conceptual platform of the “Industry 5.0” framework.

The results of the survey provide evidence about the success of AI in the wine business. Specifically, the research outcomes highlight that the interviewees (wine business operators) recognized the high relevance of the potential use of AI in the strategic and operating management of wine firms.

This study aims to provide new empirical evidence with regard to the application of AI in real business contexts. More specifically, in this exploratory investigation, a potential interaction between AI and sustainability has been highlighted in the wine industry, especially from an environmental point of view, i.e. for respectfully governing and managing the business impact on the planet and also for increasing the general efficiency of the process, with peculiar applications on the managerial, economic and financial side of the wine business.