51,818 research outputs found

    Building information modelling project decision support framework

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    Building Information Modelling (BIM) is an information technology [IT] enabled approach to managing design data in the AEC/FM (Architecture, Engineering and Construction/ Facilities Management) industry. BIM enables improved interdisciplinary collaboration across distributed teams, intelligent documentation and information retrieval, greater consistency in building data, better conflict detection and enhanced facilities management. Despite the apparent benefits the adoption of BIM in practice has been slow. Workshops with industry focus groups were conducted to identify the industry needs, concerns and expectations from participants who had implemented BIM or were BIM “ready”. Factors inhibiting BIM adoption include lack of training, low business incentives, perception of lack of rewards, technological concerns, industry fragmentation related to uneven ICT adoption practices, contractual matters and resistance to changing current work practice. Successful BIM usage depends on collective adoption of BIM across the different disciplines and support by the client. The relationship of current work practices to future BIM scenarios was identified as an important strategy as the participants believed that BIM cannot be efficiently used with traditional practices and methods. The key to successful implementation is to explore the extent to which current work practices must change. Currently there is a perception that all work practices and processes must adopt and change for effective usage of BIM. It is acknowledged that new roles and responsibilities are emerging and that different parties will lead BIM on different projects. A contingency based approach to the problem of implementation was taken which relies upon integration of BIM project champion, procurement strategy, team capability analysis, commercial software availability/applicability and phase decision making and event analysis. Organizations need to understand: (a) their own work processes and requirements; (b) the range of BIM applications available in the market and their capabilities (c) the potential benefits of different BIM applications and their roles in different phases of the project lifecycle, and (d) collective supply chain adoption capabilities. A framework is proposed to support organizations selection of BIM usage strategies that meet their project requirements. Case studies are being conducted to develop the framework. The results of the preliminary design management case study is presented for contractor led BIM specific to the design and construct procurement strategy

    UNDERSTANDING THE ADOPTION OF USE CASE NARRATIVES IN THE UNIFIED MODELING LANGUAGE

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    This research examines the adoption of Use Case Narratives within the Unified Modeling Language (UML).Using the Technology Acceptance Model (TAM) as a framework, practitioners with UML experience were asked questions to measure their Perceived Ease of Use and Perceived Usefulness of Use Case Narratives and their Intentions to Adopt them. We extend Perceived Usefulness in the context of UML adoption to address the question “usefulness for what purpose(s)?” Generally, we find that TAM explains Use Case Narrative acceptance. More importantly, we find that Perceived Usefulness is explained by usefulness for specific software development tasks. This research provides three main contributions, beginning with an improved understanding of the role of Use Case Narratives in UML projects. Second, the study extends TAM by explaining how a technology is used rather than simply whether it is used. Third, this study provides a framework for future studies into other UML diagrams

    A REVIEW OF PROBLEMS AND CHALLENGES OF USING MULTIPLE CONCEPTUAL MODELS

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    Conceptual models are used to visualise, envisage, and communicate the requirements, structure, and behaviour of a system. Particularly, during design and analysis phases, a model can serve as a tool to recognise different components, elements, actors, and relationships involved in a system. However, as a domain becomes complex, multiple models are needed to capture different aspects of a system. Further, each conceptual model develops using different grammars, methods, and tools. Therefore, using multiple models to represent a complex system may result in several problems, and challenges. This research aims to identify, analyse, and classify the different problems and issues encountered when using multiple models during information systems analysis and design through a structured literature review. Several problems are identified and are classified into seven main categories based on their common characteristics. The results of this study may serve as a baseline information for researchers in further understand-ing different modelling approaches and how multiple models can be used in harmony and reduce risks and issues. Also, the list of problems gathered will give insights to professionals on which issues they may possibly encounter when inter-relating various models

    Models of collaboration between psychologist and family doctor: a systematic review of primary care psychology

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    open2noThe prevalence of psychological suffering is greater than the actual request for clinical consultation in Europe (Alonso et al., 2004). In Italy, no more than 5.5% of the population requested psychological assistance during lifetime (Miglioretti et al., 2008). There are different obstacles that prevent the access to mental health services, such as economic restrictions (Mulder et al., 2011), cultural prejudice (Kim et al., 2010), and lack of knowledge about the service providers that can answer to the patient’s psychological needs (Molinari et al., 2012). Therefore, the psychologist is often consulted as a last resort, only after everything else has failed, when problems have become severe, and thus requiring longer, more intensive, and expensive treatments. The introduction of the Primary Care Psychologist, a professional who works together with the family doctor, allows to overcome the above-mentioned problems and intercept unexpressed needs for psychological assistance. This professional role is operating in many countries since several years. In this study, current literature concerning different models of collaboration between physician and psychologist, in Europe and in Italy, was reviewed. A systematic search of Web of Science (ISI), Pubmed, Scopus, and PsychINFO was conducted using the initial search terms Primary Care Psychologist, Family Doctor, Primary Care, Collaborative Practice, and several relevant papers were identified. The review has shown the improved quality of care when mental health care is integrated into primary. Analyzing how different programs are implemented, results indicated that the more efficacious models of Primary Care Psychology are those tailored on the environment’s needs.The results of our systematic review stress the importance of the Primary Care Psychologist implementation also in Italy, to intercept unexpressed psychological needs and enhance clients’ quality of life.openFrancesca, Bianco; Enrico, BenelliBianco, Francesca; Benelli, Enric

    A Work System Front End for Object-Oriented Analysis and Design

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    This paper proposes that basic ideas from the work system theory (WST) and the work system method (WSM) might serve as a front end to object-oriented analysis and design (OOAD), thereby providing a path from business-oriented descriptions to formal, technical specifications. After describing the background motivation and summarizing work system concepts, the paper uses a hiring system example to show how two tools from WSM can be used as a front end for OOAD, in effect, a step before creating use case diagrams and other types of Unified Modeling Language (UML) artifacts. Potential benefits of this approach stem from a business-oriented question, how can we improve this work system\u27s performance, rather than an IT-oriented question, how can we create a technical artifact that will be used

    Psychometrics in Practice at RCEC

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    A broad range of topics is dealt with in this volume: from combining the psychometric generalizability and item response theories to the ideas for an integrated formative use of data-driven decision making, assessment for learning and diagnostic testing. A number of chapters pay attention to computerized (adaptive) and classification testing. Other chapters treat the quality of testing in a general sense, but for topics like maintaining standards or the testing of writing ability, the quality of testing is dealt with more specifically.\ud All authors are connected to RCEC as researchers. They present one of their current research topics and provide some insight into the focus of RCEC. The selection of the topics and the editing intends that the book should be of special interest to educational researchers, psychometricians and practitioners in educational assessment
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