A knowledge hub to enhance the learning processes of an industrial cluster

Industrial clusters have been defined as ?networks of production of strongly interdependent firms (including specialised suppliers), knowledge producing agents (universities, research institutes, engineering companies), institutions (brokers, consultants), linked to each other in a value adding production chain? (OECD Focus Group, 1999). The industrial clusters distinctive mode of production is specialisation, based on a sophisticated division of labour, that leads to interlinked activities and need for cooperation, with the consequent emergence of communities of practice (CoPs). CoPs are here conceived as groups of people and/or organisations bound together by shared expertise and propensity towards a joint work (Wenger and Suyden, 1999). Cooperation needs closeness for just-in-time delivery, for communication, for the exchange of knowledge, especially in its tacit form. Indeed the knowledge exchanges between the CoPs specialised actors, in geographical proximity, lead to spillovers and synergies. In the digital economy landscape, the use of collaborative technologies, such as shared repositories, chat rooms and videoconferences can, when appropriately used, have a positive impact on the development of the CoP exchanges process of codified knowledge. On the other end, systems for the individuals profile management, e-learning platforms and intelligent agents can trigger also some socialisation mechanisms of tacit knowledge. In this perspective, we have set-up a model of a Knowledge Hub (KH), driven by the Information and Communication Technologies (ICT-driven), that enables the knowledge exchanges of a CoP. In order to present the model, the paper is organised in the following logical steps: - an overview of the most seminal and consolidated approaches to CoPs; - a description of the KH model, ICT-driven, conceived as a booster of the knowledge exchanges of a CoP, that adds to the economic benefits coming from geographical proximity, the advantages coming from organizational proximity, based on the ICTs; - a discussion of some preliminary results that we are obtaining during the implementation of the model.

Cybersecurity for Industry 4.0 in the current literature: A reference framework

The cybersecurity issues represent a complex challenge for all companies committing to Industry 4.0 paradigm. On the other hand, the characterization of cybersecurity concept within Industry 4.0 contexts proved to be an emerging and relevant topic in the recent literature. The paper proposes to analyse, through a systematic literature review approach, the way in which the existing state of art deals with the cybersecurity issues in Industry 4.0 contexts. In particular, the focus will be on the investigation of the main elements associated with cybersecurity theme (i.e. asset involved into cyber-attacks, system vulnerabilities, cyber threats, risks and countermeasures) within those industrial contexts where physical systems (machines, shop floors, plants) are connected each other via the Internet. Four areas of analysis are defined: definitions of cybersecurity and Industry 4.0 concepts, the industrial focus of the analysed studies, the cybersecurity characterization and the management attempts of cybersecurity issues. Through the literature review analysis, a framework of the main features characterizing each area is discussed, providing interesting evidences for future research and applications

Relevant Attributes Influencing Consumers’ Tomato Acceptance: A Systematic Review and Research Agenda

During the last two decades several studies were developed to understand the attributes able to affect consumer vegetable choice over the world. Focusing on fresh and processed tomato product, this study proposes a systematic literature review to systematize and critically apprise the current body of knowledge in this research field. In order to discover suggestions useful to enhance market strategies and policies about vegetable intake, the discovered tomato attributes were categorized, according the Search Experience and Credence logic, into: price, product features, packaging, convenience, brand, sensory properties, sustainability, origin, safety and health, production processes. By synthesizing the review findings, a multi-dimensional integrative content framework was conceived with the aim to maps the extant literature with multiple levels of analysis: antecedent, phenomenon and consequences. As part of the review, a future research agenda, theoretical and practical implications were discussed

Graduate Scholar: Journal of Scholarship and Recognition

This work proposes a methodological approach that analyses and interprets data resulting from cultural events fruition, in order to obtain information useful to improve cultural events management and encourage the cooperation between the different stakeholders involved. The methodology, based on geostatistics and text analytics techniques, has been proposed and applied to a real case study: the Italian folk music festival ‘La Notte della Taranta’. In particular, text analytics techniques, like semantic and sentiment analysis, integrated with spatial analysis techniques, allowed identifying sentiment score spatial variation and locating geographical area characterised by negative or positive average sentiment score, in order to understand the impact of a cultural event on the local territory. The particular structure of the event (itinerant) and the Salento territory where it is rooted, an area rich in traditions and folklore, make this festival an appropriate use case for the approach proposed

Assuring Effectiveness in Consumer-Oriented Traceability Suggestions for Food Label Design

Traceability is an important tool used by food companies and regulators in assuring food safety and quality, especially when consumers' needs for food information transparency are the driver. Consumers consult the label to find out more details about a food product and, although many factors influence their perceptions and purchasing acts, the label remains the primary means of communicating food information affecting consumer choice. Therefore, it represents the final step in a consumer-oriented traceability path. It follows that a suitable label design can improve the food traceability process and reduce the information asymmetry between producer and consumer. According to this view, this paper aimed to identify suggestions about food label design, in order to create a support framework for food companies in food information communication increasing label readability, customer satisfaction, and the effectiveness of traceability. A systematic literature review method with content analysis was chosen to conduct the study. Eleven specific suggestions from food labeling design theories were recognized. The novelty of the present study consisted in mapping the food label design field, synthesizing the current knowledge, and providing a support framework for food companies that would increase the readability of food labeling and enhance customer satisfaction through a well-proposed food information communication in line with the "farm to fork" strategy

09/21/1988 - Rita Nielsen

Organizations need to share and acquire new information to sustain competitive advantage in complex environment. They communicate through IT-based integrated systems to fasten communication and knowledge sharing for the creation of innovative products. Firms are, thus, extending their operations to integrate strategic knowledge from partners in the product development process. In this paper, we present a case study related to process innovation in an aerospace firm integrating its information systems with one of its partners to facilitate the design of the models of a complex product. We investigate on the strategy followed to integrate the information systems, the types of these latter, on their success factors and their impact on the product development. The case study provides important insights on the integration of information systems for product design outsourcing

Age-Related Properties of Aquaponics-Derived Tilapia Skin (Oreochromis niloticus): A Structural and Compositional Study

In the last two decades, fisheries and fish industries by-products have started to be recovered for the extraction of type I collagen because of issues related to the extraction of traditional mammalian tissues. In this work, special attention has been paid to by-products from fish bred in aquaponic plants. The valorization of aquaponic fish wastes as sources of biopolymers would make the derived materials eco-friendlier and attractive in terms of profitability and cost effectiveness. Among fish species, Nile Tilapia is the second-most farmed species in the world and its skin is commonly chosen as a collagen extraction source. However, to the best of our knowledge, no studies have been carried out to investigate, in depth, the age-related differences in fish skin with the final aim of selecting the most advantageous fish size for collagen extraction. In this work, the impact of age on the structural and compositional properties of Tilapia skin was evaluated with the aim of selecting the condition that best lends itself to the extraction of type I collagen for biomedical applications, based on the known fact that the properties of the original tissue have a significant impact on those of the final product. Performed analysis showed statistically significant age-related differences. In particular, an increase in skin thickness (+110 µm) and of wavy-like collagen fiber bundle diameter (+3 µm) besides their organization variation was observed with age. Additionally, a preferred collagen molecule orientation along two specific directions was revealed, with a higher fiber orientation degree according to age. Thermal analysis registered a shift of the endothermic peak (+1.7 °C) and an increase in the enthalpy (+3.3 J/g), while mechanical properties were found to be anisotropic, with an age-dependent brittle behavior. Water (+13%) and ash (+0.6%) contents were found to be directly proportional with age, as opposed to protein (-8%) and lipid (-10%) contents. The amino acid composition revealed a decrease in the valine, leucine, isoleucine, and threonine content and an increase in proline and hydroxyproline. Lastly, fatty acids C14:0, C15:0, C16:1, C18:2n6c, C18:3n6, C18:0, C20:3n3, and C23:0 were revealed to be upregulated, while C18:1n9c was downregulated with age

MMB & DFT 2014 : Proceedings of the International Workshops ; Modeling, Analysis and Management of Social Networks and their Applications (SOCNET 2014) & Demand Modeling and Quantitative Analysis of Future Generation Energy Networks and Energy-Efficient Systems (FGENET 2014)

At present, a comprehensive set of measurement, modeling, analysis, simulation, and performance evaluation techniques are employed to investigate complex networks. A direct transfer of the developed engineering methodologies to related analysis and design tasks in next-generation energy networks, energy-efficient systems and social networks is enabled by a common mathematical foundation. The International Workshop on "Demand Modeling and Quantitative Analysis of Future Generation Energy Networks and Energy-Efficient Systems" (FGENET 2014) and the International Workshop on "Modeling, Analysis and Management of Social Networks and their Applications" (SOCNET 2014) were held on March 19, 2014, at University of Bamberg in Germany as satellite symposia of the 17th International GI/ITG Conference on "Measurement, Modelling and Evaluation of Computing Systems" and "Dependability and Fault-Tolerance" (MMB & DFT 2014). They dealt with current research issues in next-generation energy networks, smart grid communication architectures, energy-efficient systems, social networks and social media. The Proceedings of MMB & DFT 2014 International Workshops summarizes the contributions of 3 invited talks and 13 reviewed papers and intends to stimulate the readers’ future research in these vital areas of modern information societies.Gegenwärtig wird eine reichhaltige Klasse von Verfahren zur Messung, Modellierung, Analyse, Simulation und Leistungsbewertung komplexer Netze eingesetzt. Die unmittelbare Übertragung entwickelter Ingenieurmethoden auf verwandte Analyse- und Entwurfsaufgaben in Energienetzen der nächsten Generation, energieeffizienten Systemen und sozialen Netzwerken wird durch eine gemeinsame mathematische Basis ermöglicht. Die Internationalen Workshops "Demand Modeling and Quantitative Analysis of Future Generation Energy Net-works and Energy-Efficient Systems" (FGENET 2014) und "Modeling, Analysis and Management of Social Networks and their Applications" (SOCNET 2014) wurden am 19. März 2014 als angegliederte Symposien der 17. Internationalen GI/ITG Konferenz "Measurement, Modelling and Evaluation of Computing Systems" und "Dependability and Fault-Tolerance" (MMB & DFT 2014) an der Otto-Friedrich-Universität Bamberg in Deutschland veranstaltet. Es wurden aktuelle Forschungsfragen in Energienetzen der nächsten Generation, Smart Grid Kommunikationsarchitekturen, energieeffizienten Systemen, sozialen Netzwerken und sozialen Medien diskutiert. Der Tagungsband der Internationalen Workshops MMB & DFT 2014 fasst die Inhalte von 3 eingeladenen Vorträgen und 13 begutachteten Beiträgen zusammen und beabsichtigt, den Lesern Anregungen für ihre eigenen Forschungen auf diesen lebenswichtigen Gebieten moderner Informationsgesellschaften zu vermitteln

Shop Floor Digital Twin in Smart Manufacturing: A Systematic Literature Review

The digital twin is currently recognized as a key technology allowing the digital representation of a real-world system. In smart manufacturing, the digital twin enables the management and analysis of physical and digital processes, products, and people in order to foster the sustainability of their lifecycles. Although past research addressed this topic, fragmented studies, a lack of a holistic view, and a lack of in-depth knowledge about digital twin concepts and structures are still evident in the domain of the shop floor digital twin. Manufacturing companies need an integrated reference framework that fits the main components of both physical and digital space. On the basis of a systematic literature review, this research aims to investigate the characteristics of the digital twin for shop floor purposes in the context of smart manufacturing. The “hexadimensional shop floor digital twin” (HexaSFDT) is proposed as a comprehensive framework that integrates all the main components and describes their relationships. In this way, manufacturing organizations can rely on an inclusive framework for supporting their journey in understanding the shop floor digital twin from a methodological and technological viewpoint. Furthermore, the research strengthens the reference literature by collecting and integrating relevant contributions in a unique framework