Integrating information and knowledge for enterprise innovation

It has widely been accepted that enterprise integration, can be a source of socio-technical and cultural problems within organisations wishing to provide a focussed end-to-end business service. This can cause possible “straitjacketing” of business process architectures, thus suppressing responsive business re-engineering and competitive advantage for some companies. Accordingly, the current typology and emergent forms of Enterprise Resource Planning (ERP) and Enterprise Application Integration (EAI) technologies are set in the context of understanding information and knowledge integration philosophies. As such, key influences and trends in emerging IS integration choices, for end-to-end, cost-effective and flexible knowledge integration, are examined. As touch points across and outside organisations proliferate, via work-flow and relationship management-driven value innovation, aspects of knowledge refinement and knowledge integration pose challenges to maximising the potential of innovation and sustainable success, within enterprises. This is in terms of the increasing propensity for data fragmentation and the lack of effective information management, in the light of information overload. Furthermore, the nature of IS mediation which is inherent within decision making and workflow-based business processes, provides the basis for evaluation of the effects of information and knowledge integration. Hence, the authors propose a conceptual, holistic evaluation framework which encompasses these ideas. It is thus argued that such trends, and their implications regarding enterprise IS integration to engender sustainable competitive advantage, require fundamental re-thinking

APS200 project – the place of science in policy development in the public service

The report aims to achieve better government outcomes through facilitating the effective use of scientific input in policy development in the public service. The Australian Public Service (APS) is increasingly tasked with solving complex policy problems that require significant input from science in order to address them fully and appropriately. Policy making within the APS needs to be based on a rigorous, evidence‐based approach that routinely and systematically draws upon science as a key element. The Australian Government’s investment in science, research and innovation capacity supports a long‐term vision to address national challenges and open up new opportunities. This investment is also significant, with the Commonwealth providing $8.9 billion to support science, research and innovation in 2012‐13. There is an opportunity to harness this investment to address complex societal challenges, by ensuring that scientific research and advice is more effectively incorporated in the development of evidence‐based policy. There is an opportunity for policy makers to make better use of the science capacity provided by our science institutions, including publicly funded research agencies and other science agencies, universities, Cooperative Research Centres and Medical Research Institutes. There is also an opportunity to capitalise on the willingness of scientists to contribute their research results to the policy making process

Integrating personal learning and working environments

This review paper part of a series of papers commissioned by the Institute for Employment Research at the University of Warwick under the title of 'Beyond Current Horizons – Working and Employment Challenge'. In turn, in forms part of a larger programme of work under the banner of Beyond Current Horizons that is being managed by FutureLab on behalf of the UK Department for Schools, Children and Families. The brief was to cover: - The main trends and issues in the area concerned; - Any possible discontinuities looking forward to 2025 and beyond; - Uncertainties and any big tensions; - Conclusions on what the key issues will be in the future and initial reflections on any general implications for education. Given the wide ranging nature of the brief, this paper largely confines itself to trends and issues in the UK, although where appropriate examples from other countries in Europe are introduced. We realise that in an age of growing globalisation the future of work and learning in the UK cannot be separated from developments elsewhere and that developments in other parts of the world may present a different momentum and trajectory from that in the UK. Thus, when reading this report, please bear in mind the limitations in our approach

Improving work organisation - the case for a regional action programme

A policy think piece to inform the development of the 2006 Regional Economic Strategy on how adoption of modern work organisation/high performance working practices could improve skills utilisation in the context of the 'low pay low skills equilibrium' in the East Midlands

Improving sustainability through intelligent cargo and adaptive decision making

In the current society, logistics is faced with the challenge to meet more stringent sustainability goals. Shippers and transport service providers both aim to reduce the carbon footprint of their logistic operations. To do so, optimal use of logistics resources and physical infrastructure should be aimed for. An adaptive decision making process for the selection of a specific transport modality, transport provider and timeslot (aimed at minimisation of the carbon footprint) enables shippers to achieve this. This requires shippers to have access to up-to-date capacity information from transport providers (e.g. current and scheduled loading status of the various transport means and information on carbon footprint) and traffic information (e.g. city logistics and current traffic information). A prerequisite is an adequate infrastructure for collaboration and open exchange of information between the various stakeholders in the logistics value chain to obtain the up-to-date information. This paper gives a view on how such an advanced information infrastructure can be realised, currently being developed within the EU iCargo project. The paper describes a reference logistics value chain, including business benefits for each of the roles in the logistics value chain of aiming for sustainability. A case analysis is presented that reflects a practical situation in which the various roles collaborate and exchange information for realizing sustainability goals, using adaptive decision making for selecting a transport modality, transport provider, and timeslot. A high-level overview is provided of the requirements on and technical implementation of the supporting advanced infrastructure for collaboration and open information exchange.In the current society, logistics is faced with the challenge to meet more stringent sustainability goals. Shippers and transport service providers both aim to reduce the carbon footprint of their logistic operations. To do so, optimal use of logistics resources and physical infrastructure should be aimed for. An adaptive decision making process for the selection of a specific transport modality, transport provider and timeslot (aimed at minimisation of the carbon footprint) enables shippers to achieve this. This requires shippers to have access to up-to-date capacity information from transport providers (e.g. current and scheduled loading status of the various transport means and information on carbon footprint) and traffic information (e.g. city logistics and current traffic information). A prerequisite is an adequate infrastructure for collaboration and open exchange of information between the various stakeholders in the logistics value chain to obtain the up-to-date information. This paper gives a view on how such an advanced information infrastructure can be realised, currently being developed within the EU iCargo project. The paper describes a reference logistics value chain, including business benefits for each of the roles in the logistics value chain of aiming for sustainability. A case analysis is presented that reflects a practical situation in which the various roles collaborate and exchange information for realizing sustainability goals, using adaptive decision making for selecting a transport modality, transport provider, and timeslot. A high-level overview is provided of the requirements on and technical implementation of the supporting advanced infrastructure for collaboration and open information exchange.In the current society, logistics is faced with the challenge to meet more stringent sustainability goals. Shippers and transport service providers both aim to reduce the carbon footprint of their logistic operations. To do so, optimal use of logistics resources and physical infrastructure should be aimed for. An adaptive decision making process for the selection of a specific transport modality, transport provider and timeslot (aimed at minimisation of the carbon footprint) enables shippers to achieve this. This requires shippers to have access to up-to-date capacity information from transport providers (e.g. current and scheduled loading status of the various transport means and information on carbon footprint) and traffic information (e.g. city logistics and current traffic information). A prerequisite is an adequate infrastructure for collaboration and open exchange of information between the various stakeholders in the logistics value chain to obtain the up-to-date information. This paper gives a view on how such an advanced information infrastructure can be realised, currently being developed within the EU iCargo project. The paper describes a reference logistics value chain, including business benefits for each of the roles in the logistics value chain of aiming for sustainability. A case analysis is presented that reflects a practical situation in which the various roles collaborate and exchange information for realizing sustainability goals, using adaptive decision making for selecting a transport modality, transport provider, and timeslot. A high-level overview is provided of the requirements on and technical implementation of the supporting advanced infrastructure for collaboration and open information exchange

Invest to Save: Report and Recommendations of the NSF-DELOS Working Group on Digital Archiving and Preservation

Digital archiving and preservation are important areas for research and development, but there is no agreed upon set of priorities or coherent plan for research in this area. Research projects in this area tend to be small and driven by particular institutional problems or concerns. As a consequence, proposed solutions from experimental projects and prototypes tend not to scale to millions of digital objects, nor do the results from disparate projects readily build on each other. It is also unclear whether it is worthwhile to seek general solutions or whether different strategies are needed for different types of digital objects and collections. The lack of coordination in both research and development means that there are some areas where researchers are reinventing the wheel while other areas are neglected. Digital archiving and preservation is an area that will benefit from an exercise in analysis, priority setting, and planning for future research. The WG aims to survey current research activities, identify gaps, and develop a white paper proposing future research directions in the area of digital preservation. Some of the potential areas for research include repository architectures and inter-operability among digital archives; automated tools for capture, ingest, and normalization of digital objects; and harmonization of preservation formats and metadata. There can also be opportunities for development of commercial products in the areas of mass storage systems, repositories and repository management systems, and data management software and tools.

A new proxy of social capital and the economic performance across the Italian regions

In the last 20 years, social capital, has been evoked in several field of social science research and used to explain a vast range of phenomena: political participation, institution performance, corruption, economic success of countries and so on. Unfortunately, dealing with social capital at a scientific level presents, at least, three main problems. First social capital’s definition is still elusive, especially due to its multi-dimensional nature. Second, it is a particular form of capital related to a very high level of intangibility. Finally, because of lack of suitable data there is neither a universal measurement method, nor a single underlined indicator commonly accepted by the literature. These are some of the reasons for which social capital measures are considered as proxies. By using the density of workers within industrial districts, we have constructed an alternative proxy to those that already exist in the literature in order to empirically analyse the difference, in terms of economic performance, across the Italian regions. The methodology we have applied to derive the index is identical to that one used to construct the Putnam’s instrument. Empirical evidence shows that our measure does not affect macroeconomic indicators such as investment and income per capita. However, it significantly influences unemployment disparities, and the level of innovation