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This study aims to assess whether similar user populations in the Internet produce similar geographical traffic destination patterns on a per‐country basis.

The authors collected a country‐wide NetFlow trace, which encompasses the whole Spanish academic network. Such a trace comprises several similar campus networks in terms of population size and structure. To compare their behaviors, the authors propose a mixture model, which is primarily based on the Zipf‐Mandelbrot power law to capture the heavy‐tailed nature of the per‐country traffic distribution. Then, factor analysis is performed to understand the relation between the response variable, number of bytes or packets per day, with dependent variables such as the source IP network, traffic direction, and country.

Surprisingly, the results show that the geographical distribution is strongly dependent on the source IP network. Furthermore, even though there are thousands of users in a typical campus network, it turns out that the aggregation level which is required to observe a stable geographical pattern is even larger.

Based on these findings, conclusions drawn for one network cannot be directly extrapolated to different ones. Therefore, ISPs' traffic measurement campaigns should include an extensive set of networks to cope with the space diversity, and also encompass a significant period of time due to the large transient time.

Current state of the art includes some analysis of geographical patterns, but not comparisons between networks with similar populations. Such comparison can be useful for the design of content distribution networks and the cost‐optimization of peering agreements.

The first aim of the chapter is to offer a characterization of back-reshoring as a possible step of the firm’s nonlinear internationalization process. The second aim is to review the empirical literature on back-reshoring and to complement it with the findings of an extensive data collection.

In this chapter we adopted an explorative approach building on both theoretical and empirical literature from the fields of international business and international operations Management. We also collected secondary data on back-reshoring decisions in order to define the magnitude of the investigated phenomenon and to offer a primary characterization.

Our findings confirm that, though it cannot be considered a generalized trend, back-reshoring is a very topical issue for international business scholars. It represents an autonomous phenomenon consistent with the idea of nonlinear internationalization process.

The chapter is based on cross-sectional data. Longitudinal research is required in order to address the proposed research questions and help understanding “how much” and what kind of manufacturing will be housed in western countries in the near future.

This is the first attempt to conceptualize back-reshoring as a possible step of the firms’ internationalization process. It is also the first chapter that summarizes and discusses the literature and empirical evidence on back-reshoring emerging from a wide range of countries.

The purpose of this paper is to improve disaster management models, have an optimal distribution of assets, reduce human suffering in a crisis and find a good solution for warehouse locations, distribution points, inventory levels and costs, considering the uncertainty of a wide range of variables, to serve as a support model for decision making in real situations.

A model is developed based on the recent models. It includes structured and non-structured data (historical knowledge) from a humanitarian perspective. This model considers the uncertainty in a landslide and flood area and it is applied in a representative Peruvian city.

The proposed model can be used to determine humanitarian aid supply and its distribution with uncertainty, regarding the affected population and its resilience. This model presents a different point of view from the efficiency of the logistics perspective, to identify the level of trust between all the stakeholders (public, private and academic). The finding provides a new insight in disaster management to cover the gap between applied research and human behavior in crisis.

In this study the access of reliable information is limited.

This paper provides an operation model with uncertainty in a humanitarian crisis and a decision-making tool with some recommendation for further public policies.

This study presents a model for decision makers in a low-income zone and highlights the importance of preparedness in the humanitarian system. This paper expands the discussion of how the mathematical models and human behaviors interact with different perspectives in a humanitarian crisis.

The purpose of this paper is to build a class model to confirm the authenticity of olives from Bi'r al Malluli, Tunisian region, in order to obtain the Designation of Origin (DO).

In total, ten orchards of Chemlali olive oil variety were chosen, in Sfax region, characterized by the same applied cultural techniques. Pomological characters of olives, fatty acids composition and organoleptic analysis of olive oil were conducted.

Results showed that the pomological characters were specific of the Chemlali variety: the olive weight ranged from 0.9 to 1.10 g in all studied orchards and the water content (WC) ranged from 41.45 to 57.68 per cent. All analysed oils showed good fatty acids balance. Chemlali olive oil contains high amounts of oleic acid and a smaller amount of linoleic acid. The oleic acid content ranged from 57.96 to 63.52 per cent according to the orchards. All oils having oleic acid higher than 55 per cent are categorized as extra virgin olive oil based on International Olive Oil Council (IOOC) Norma. Based on the organoleptic analysis, all the analysed oils were classified as an extra virgin olive oil. The principal component analysis applied separately on olive characters and fatty acids contents do not indicate any group's structure.

An objective approach based on pomologic, sensory and acidic composition analyses would be used to delimitate Protected Designation of Origin (PDOs) in olive oil from the Bi'r al Malluli area and better protect their markets.

The aim of this paper is to analyze and classify research that has been conducted on manufacturing reshoring, i.e. the decision to bring back to the home country production activities earlier offshored, independently of the governance mode (insourcing vs outsourcing). Consequently, the paper also aims at providing avenues for future research and to highlight the distinct value of studying manufacturing reshoring either per se or in combination with other constructs of the international business tradition.

A set of 57 carefully selected articles on manufacturing reshoring published in international journals or books indexed on Scopus in the past 10 years was systematically analyzed based on the “5Ws and 1H” (who-what-where-when-why and how) set of questions.

The authors’ work shows a certain convergence among authors regarding what reshoring is and what its key features and motivations are. In contrast, other related aspects, such as the decision-making and implementation processes, are comparatively less understood.

As manufacturing reshoring is a “recent” topic, for some of its aspects, only exploratory research is available to date, limiting the authors’ possibility to either characterize it in a more exhaustive way or highlight well-established patterns.

The paper demonstrates that studying reshoring will indeed contribute to expanding our understanding of internationalization processes and strategies in general and of production internationalization specifically. While past studies have argued that the learning derived from international experience would permit firms to overcome their unfamiliarity with new business environments, reshoring might show that this outcome is not necessarily certain. Rather, firms might not be able to overcome obstacles because of internationalization or they might realize that attempting to do so is not desirable, e.g. because of excessive risk or changes in the firm’s strategic priorities.

From a societal point of view, the present research underlines that reshoring can be part of that re-industrialization policy that many Western countries include in their economic agenda – yet, its impact on employment should not be overestimated, as often relocation is only in regard to some product lines. At the same time, there might be an intimate relationship between reshoring and the various forms of technological innovations applied to manufacturing – which has become popularly labeled as “Industry 4.0”.

Literature reviews proposed until now usually paid almost exclusive attention to motivations driving this phenomenon. This paper offers a broader and more comprehensive examination of the extant knowledge of manufacturing reshoring and identifies the main unresolved issues and knowledge gaps, which future research should investigate.

Are radically novel practices more likely to attract recognition when the evaluating audience is composed of external evaluators? Our baseline argument asserts that radical novelty is more likely to be positively evaluated by an external audience and that peripheral (rather than core) producers have higher incentives to adopt novel practices that depart from tradition. Yet, because peripheral producers often lack the necessary support and legitimacy to promote novelty, audiences play a critical role in recognizing their innovative efforts. How can peripheral producers mitigate the challenges associated with novelty recognition? To answer this question, we explore how peripheral producers’ collaboration with acclaimed consultants affects the process of external audience recognition in the context of the Italian wine field from 1997 to 2006. Our findings suggest that radical novelty is positively received by an external audience composed of critics, although we do not find a significant difference between core and peripheral producers. However, external audiences are more open to recognizing peripheral producers’ use of novel practices when they collaborate with well-connected consultants. We find that the use of central consultants produces a “boosting” effect that accentuates the differences between evaluations of peripheral producers who embrace novelty and evaluations of those that follow the tradition. Our study thus advances theory by providing empirical evidence of the value of considering third-party actors such as consultants, who sit at the nexus between the agency required for innovation and external audiences’ recognition of novelty, when studying novelty evaluation and recognition.

This chapter focuses on community and social group networks. All six facets of knowledge networks are described. The importance of three of the six facets is called out, including geography, domain, and the messages exchanged across the network. The authors provide profiles of five networks, including family networks, neighborhood networks, issue and support networks, community organization networks, gangs and criminal networks, and sports and gaming networks.

This study aims to identify the effect of selected agro-industrial factors associated with the olive oil phenolic composition, total phenolic content (TPC), antioxidant capacity and oxidative stability index (OSI). The study also aims to assess the relationship between the quality indices and each of the individual phenol, TPC, antioxidant capacity and OSI.

Olive oil samples (n=108) were collected from Lebanese northern (Akkar and Zgharta-Koura) and southern (Hasbaya and Jezzine) regions, at three harvesting times (early, intermediate, late) and using different types of mills (traditional, sinolea, two- and three-phase decanters). The samples were analyzed using official standard methods.

The highest TPC, antioxidant capacity and OSI were obtained in early harvested olive oil, using two-phase decanters for TPC and three-phase decanters for antioxidant capacity and OSI. A prediction model, including the free acidity, K232, TPC, C18:2, C18:0, tyrosol and apigenin, was obtained; it allowed to predict very highly significantly the OSI (p < 0.001). Apigenin, tyrosol and C18:2 recorded the highest standardized coefficients (ß^+= 0.35) and thus had the highest influence on OSI. As per antioxidant capacity of olive oil, another very highly statistically significant prediction model was constructed (p < 0.001). It included only two predictors, oleacein and TPC, with the latter having the most influence (ß^+= 0.37).

The overall results highlighted the detrimental effects of agro-industrial factors on olive oil chemical composition, and this contributes significantly to improve olive oil’s quality and characteristics, which are important for the product economical and nutritional values.

The aim of this paper is to support public decision‐makers in a local healthcare agency (LHA) in evaluating the effects of different de‐hospitalization strategies and the potential for outsourcing clinical services.

The approach adopted is based on the “patient pathway” perspective. Starting from the identification of specific care pathways, all the feasible care paths in a given LHA in Italy are investigated in order to evaluate the practicability of the de‐hospitalization of some phases with a particular focus on co‐ordination of hospitals and territorial services. A heuristic approach based on discrete‐event simulation modelling is proposed. The methodology and the simulation model have been validated with reference to field data derived from a full‐scale case study carried out within a LHA in southern Italy.

The results show where, in terms of care pathways, de‐hospitalization is practicable, valuable in terms of better resource utilization, and eligible for outsourcing. The outsourcing option appears to be more sustainable from a social point of view. It specifies that there would be no dismissal of employees, and that there would be recruitment of specialized workers such as nurses and doctors, employed under more flexible conditions. Savings in overheads would be achieved by means of patient de‐hospitalization.

The existing scientific literature, to the best of the authors' knowledge, deals with patient flow management at the hospital level. However, in the European countries, the public healthcare system is generally organized in terms of the territorially based allocation of service centres. Given the scarcity of public resources, the main difficulty seems to be a mismatch among actions needed to improve territorial and residential care for outsourcing, and the interventions needed to contain hospital costs.

This paper seeks to describe and discuss a tagging experiment involving images related to Israeli and Jewish cultural heritage. The aim of this experiment was to compare freely assigned tags with values (free text) assigned to predefined metadata elements.

Two groups of participants were asked to provide tags for 12 images. The first group of participants was asked to assign descriptive tags to the images without guidance (unstructured tagging), while the second group was asked to provide free‐text values to predefined metadata elements (structured tagging).

The results show that on the one hand structured tagging provides guidance to the users, but on the other hand different interpretations of the meaning of the elements may worsen the tagging quality instead of improving it. In addition, unstructured tagging allows for a wider range of tags.

The recommendation is to experiment with a system where the users provide both the tags and the context of these tags.

Unstructured tagging has become highly popular on the web, thus it is important to evaluate its merits and shortcomings compared to more conventional methods.