35,646 research outputs found
Risk assessment and relationship management: practical approach to supply chain risk management
The literature suggests the need for incorporating the risk construct into the measurement of organisational performance, although few examples are available as to how this might be undertaken in relation to supply chains. A conceptual framework for the development of performance and risk management within the supply chain is evolved from the literature and empirical evidence. The twin levels of dyadic performance/risk management and the management of a portfolio of performance/risks is addressed, employing Agency Theory to guide the analysis. The empirical evidence relates to the downstream management of dealerships by a large multinational organisation. Propositions are derived from the analysis relating to the issues and mechanisms that may be employed to effectively manage a portfolio of supply chain performance and risks
Semantic-based policy engineering for autonomic systems
This paper presents some important directions in the use of ontology-based semantics in achieving the vision of Autonomic Communications. We examine the requirements of Autonomic Communication with a focus on the demanding needs of ubiquitous computing environments, with an emphasis on the requirements shared with Autonomic Computing. We observe that ontologies provide a strong mechanism for addressing the heterogeneity in user task requirements, managed resources, services and context. We then present two complimentary approaches that exploit ontology-based knowledge in support of autonomic communications: service-oriented models for policy engineering and dynamic semantic queries using content-based networks. The paper concludes with a discussion of the major research challenges such approaches raise
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Exploring continuous organisational transformation as a form of network interdependence
In this paper we examine the problematic area of continuous transformation. We conduct our analysis from three theoretical perspectives: the resource based view, social network theory, and stakeholder theory. We found that the continuous transformation can be explained through the concept of Network Interdependence. This paper describes Network Interdependence and develops theoretical propositions from a synthesis of the three theories. Our contribution of Network Interdependence offers fresh insights into managing complex change and offers new ways of looking at organisational transformation
Co-axial wet-spinning in 3D Bioprinting: state of the art and future perspective of microfluidic integration
Nowadays, 3D bioprinting technologies are rapidly emerging in the field of tissue engineering and regenerative medicine as effective tools enabling the fabrication of advanced tissue constructs that can recapitulate in vitro organ/tissue functions. Selecting the best strategy for bioink deposition is often challenging and time consuming process, as bioink properties-in the first instance, rheological and gelation-strongly influence the suitable paradigms for its deposition. In this short review, we critically discuss one of the available approaches used for bioprinting-namely co-axial wet-spinning extrusion. Such a deposition system, in fact, demonstrated to be promising in terms of printing resolution, shape fidelity and versatility when compared to other methods. An overview of the performances of co-axial technology in the deposition of cellularized hydrogel fibres is discussed, highlighting its main features. Furthermore, we show how this approach allows (i) to decouple the printing accuracy from bioink rheological behaviour-thus notably simplifying the development of new bioinks- A nd (ii) to build heterogeneous multi-materials and/or multicellular constructs that can better mimic the native tissues when combined with microfluidic systems. Finally, the ongoing challenges and the future perspectives for the ultimate fabrication of functional constructs for advanced research studies are highlighted. © 2018 IOP Publishing Ltd
Mechanisms in Dynamically Complex Systems
In recent debates mechanisms are often discussed in the context of âcomplex systemsâ which are understood as having a complicated compositional structure. I want to draw the attention to another, radically different kind of complex system, in fact one that many scientists regard as the only genuine kind of complex system. Instead of being compositionally complex these systems rather exhibit highly non-trivial dynamical patterns on the basis of structurally simple arrangements of large numbers of non-linearly interacting constituents. The characteristic dynamical patterns in what I call âdynamically complex systemsâ arise from the interaction of the systemâs parts largely irrespective of many properties of these parts. Dynamically complex systems can exhibit surprising statistical characteristics, the robustness of which calls for an explanation in terms of underlying generating mechanisms. However, I want to argue, dynamically complex systems are not sufficiently covered by the available conceptions of mechanisms. I will explore how the notion of a mechanism has to be modified to accommodate this case. Moreover, I will show under which conditions the widespread, if not inflationary talk about mechanisms in (dynamically) complex systems stretches the notion of mechanisms beyond its reasonable limits and is no longer legitimate
Service Level Agreement-based GDPR Compliance and Security assurance in (multi)Cloud-based systems
Compliance with the new European General Data Protection Regulation (Regulation (EU) 2016/679) and security
assurance are currently two major challenges of Cloud-based systems. GDPR compliance implies both privacy and security
mechanisms definition, enforcement and control, including evidence collection. This paper presents a novel DevOps
framework aimed at supporting Cloud consumers in designing, deploying and operating (multi)Cloud systems that include
the necessary privacy and security controls for ensuring transparency to end-users, third parties in service provision (if any)
and law enforcement authorities. The framework relies on the risk-driven specification at design time of privacy and security
level objectives in the system Service Level Agreement (SLA) and in their continuous monitoring and enforcement at runtime.The research leading to these results has received
funding from the European Unionâs Horizon 2020 research
and innovation programme under grant agreement No 644429
and No 780351, MUSA project and ENACT project,
respectively. We would also like to acknowledge all the
members of the MUSA Consortium and ENACT Consortium
for their valuable help
Why we should see international law as a structure: Unpicking international lawâs ontology and agency
This article identifies how three dominant ideas of international law (as a process, an institution and a practice) see its agency, concluding that all three share a reluctance to see international law as doing anything more than enabling the operation of other actors, forces or structures. This article argues that we should see international law as a structure because it possesses both the surface structure of rules, principles, processes, personnel and material elements of the international legal system and a deep structure of values that sits deep within our subconscious. As Shklarâs idea of legalism shows us, legalism plays a powerful role in shaping all our understandings of ourselves and the world that surrounds us. Seeing international law as a structure enables us to see how it locates actors within a social hierarchy and how it behaves in similar ways to recognised structures like capitalism and racism
Digital Ecosystems: Ecosystem-Oriented Architectures
We view Digital Ecosystems to be the digital counterparts of biological
ecosystems. Here, we are concerned with the creation of these Digital
Ecosystems, exploiting the self-organising properties of biological ecosystems
to evolve high-level software applications. Therefore, we created the Digital
Ecosystem, a novel optimisation technique inspired by biological ecosystems,
where the optimisation works at two levels: a first optimisation, migration of
agents which are distributed in a decentralised peer-to-peer network, operating
continuously in time; this process feeds a second optimisation based on
evolutionary computing that operates locally on single peers and is aimed at
finding solutions to satisfy locally relevant constraints. The Digital
Ecosystem was then measured experimentally through simulations, with measures
originating from theoretical ecology, evaluating its likeness to biological
ecosystems. This included its responsiveness to requests for applications from
the user base, as a measure of the ecological succession (ecosystem maturity).
Overall, we have advanced the understanding of Digital Ecosystems, creating
Ecosystem-Oriented Architectures where the word ecosystem is more than just a
metaphor.Comment: 39 pages, 26 figures, journa
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