5,532 research outputs found
Past, present and future of information and knowledge sharing in the construction industry: Towards semantic service-based e-construction
The paper reviews product data technology initiatives in the construction sector and provides a synthesis of related ICT industry needs. A comparison between (a) the data centric characteristics of Product Data Technology (PDT) and (b) ontology with a focus on semantics, is given, highlighting the pros and cons of each approach. The paper advocates the migration from data-centric application integration to ontology-based business process support, and proposes inter-enterprise collaboration architectures and frameworks based on semantic services, underpinned by ontology-based knowledge structures. The paper discusses the main reasons behind the low industry take up of product data technology, and proposes a preliminary roadmap for the wide industry diffusion of the proposed approach. In this respect, the paper stresses the value of adopting alliance-based modes of operation
An Overview of the Feasibility of Achieving Level 2 Building Information Modeling by 2016 in the UK
The aim of this study is to investigate the current status and feasibility of achieving Level 2 BIM (building information modeling) usage that is to be made mandatory by the UK government on its projects by the year 2016. This study assesses the level at which organizational and practitioner knowledge of BIM is currently positioned. The UK government, being the largest public stakeholder client, has realized the benefits and advantages of BIM when used in procuring projects across their lifecycle in the built
environment. A critical review of the BIM literature was carried out and the evidence base was created in relation to government targets for 2016. At the current stage, Level 2 BIM adoption is achievable by 2016 for large construction firms but not for SMEs (small medium enterprise). Also, from evidence in this study, the technology needs to be properly tailored to meet SME variables if Level 2 status is to be achieved for the entire industry
Semantic discovery and reuse of business process patterns
Patterns currently play an important role in modern information systems (IS) development and their use has mainly been restricted to the design and implementation phases of the development lifecycle. Given the increasing significance of business modelling in IS development, patterns have the potential of providing a viable solution for promoting reusability of recurrent generalized models in the very early stages of development. As a statement of research-in-progress this paper focuses on business process patterns and proposes an initial methodological framework for the discovery and reuse of business process patterns within the IS development lifecycle. The framework borrows ideas from the domain engineering literature and proposes the use of semantics to drive both the discovery of patterns as well as their reuse
Information Technology Platforms: Definition and Research Directions
The concept of an information technology (IT) related platform is broad and
covers phenomena ranging from the operating system Linux to the Internet. Such
platforms are of increasing importance to innovation and value creation across
many facets of industry and daily life. There is, however, a lack of common
understanding in both research and industry about what is mean by the term
platform when related to IT. This lack of consensus is detrimental to research
and knowledge development. Thus, the aims of this study are to: (i) provide a
sound definition of the IT-platform concept by identifying its distinguishing
dimensions; and (ii) identify important current research directions for the
IT-platform concept. To achieve these aims a systematic literature review was
undertaken with 133 relevant articles taken from major information systems
journals, conferences, and business publications. The study contributes by
providing a sound base for future research into IT-platforms.Comment: Research-in-progress ISBN# 978-0-646-95337-3 Presented at the
Australasian Conference on Information Systems 2015 (arXiv:1605.01032
Electronic Health Records: Cure-all or Chronic Condition?
Computer-based information systems feature in almost every aspect of our
lives, and yet most of us receive handwritten prescriptions when we visit our
doctors and rely on paper-based medical records in our healthcare. Although
electronic health record (EHR) systems have long been promoted as a
cost-effective and efficient alternative to this situation, clear-cut evidence
of their success has not been forthcoming. An examination of some of the
underlying problems that prevent EHR systems from delivering the benefits that
their proponents tout identifies four broad objectives - reducing cost,
reducing errors, improving coordination and improving adherence to standards -
and shows that they are not always met. The three possible causes for this
failure to deliver involve problems with the codification of knowledge, group
and tacit knowledge, and coordination and communication. There is, however,
reason to be optimistic that EHR systems can fulfil a healthy part, if not all,
of their potential
The Role of Knowledge Management in Supply Chain Management: A Literature Review
Purpose: The aim of this paper is to examine the state of knowledge management research in
supply chain management from three standpoints, methodological approach, supply chain
management area, and knowledge management processes.
Design/methodology/approach: To achieve this, a systematic review is conducted over the
period 2000-2014 on the basis of a qualitative content analysis.
Findings: Major results showed that knowledge management can be viewed as a leverage
mechanism for: (i) supply chain integration; (ii) the enhancement of intra and inter-relations across
the supply chain; (iii) supply chain strategy alignment; and (iv) the reinforcement of knowledge
transfer in product development. Some supply chain management areas such as reverse logistics,
inventory management, forecasting/demand planning, outsourcing, and risk management have
been explored only to some extent. Furthermore, knowledge transfer is being studied in the
majority of the articles, mainly by both case study and survey approach; mathematical models and
simulation techniques are used in very limited articles. Findings concerning theoretical
perspectives and managerial issues are also described. Research limitations/implications: The limitation of our study encompasses the aspects of
search period (2000-2014), selection of search databases (Web of Science and SCOPUS and
language selection (English).
Practical implications: The exhibition of the KM processes within the SC context may help
practitioners and managers interested in implementing KM initiatives to replicate the
methodologies in order to increase the possibilities of a successful KM adoption.
Originality/value: The systematic review will contribute to the understanding of the present
state of research in the knowledge management theory, with focus on the supply chain, as there
are no state-of-knowledge studies that report a systematic literature review approach.Peer Reviewe
Enabling long-term oceanographic research : changing data practices, information management strategies and informatics
Author Posting. © Elsevier B.V., 2008. This is the author's version of the work. It is posted here by permission of Elsevier B.V. for personal use, not for redistribution. The definitive version was published in Deep Sea Research Part II: Topical Studies in Oceanography 55 (2008): 2132-2142, doi:10.1016/j.dsr2.2008.05.009.Interdisciplinary global ocean science requires new ways of thinking about data and data
management. With new data policies and growing technological capabilities, datasets of
increasing variety and complexity are being made available digitally and data management is
coming to be recognized as an integral part of scientific research. To meet the changing
expectations of scientists collecting data and of data reuse by others, collaborative strategies
involving diverse teams of information professionals are developing. These changes are
stimulating the growth of information infrastructures that support multi-scale sampling, data
repositories, and data integration. Two examples of oceanographic projects incorporating data
management in partnership with science programs are discussed: the Palmer Station Long-Term
Ecological Research program (Palmer LTER) and the United States Joint Global Ocean Flux
Study (US JGOFS). Lessons learned from a decade of data management within these
communities provide an experience base from which to develop information management
strategies – short-term and long-term. Ocean Informatics provides one example of a conceptual
framework for managing the complexities inherent to sharing oceanographic data. Elements are
introduced that address the economies-of-scale and the complexities-of-scale pertinent to a
broader vision of information management and scientific research.Support is provided by NSF OPP-0217282, OCE-0405069, HSD-0433369 and Scripps
Institution of Oceanography (K.S.Baker) and by NSF OCE-8814310, OCE-0097291, OCE-
0510046 and OCE-0646353 (C.Chandler)
The coherence of EU trade, competition, and industry policies in the high tech sector : the case of the telecommunications services sector
We analyze the coherence existing among European Union competition, industry, and trade policies in the high tech sector in general terms focusing on its specific features (externalities, fast progress) and their effects on the emergence and treatment of policy consistency and conflicts. Second, this analysis is applied to the European telecommunications services sector. The examination of this sector and the relevant EU policies reveals a consensus on giving priority to competition. However structural factors prevent policy implementation to reflect much liberalization and harmonization and business responses to trade globalization challenge effective competition. The potential, important role of standardization is shown.economics of technology ;
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