Enriching student experience and inter-professional learning of inclusive design with Second Life

This position paper reflects rapid advances in immersive 2D and 3D eLearning technologies and the expanding pool of ideas and applications in higher education across two professions. Inspiration has been drawn from examples in design learning, and various multidisciplinary collaborative projects through developmental research in Multi-User Virtual Environments (MUVEs). Linden Lab's Second Life (SL) is the most mature and popular of the ‘persistent’ virtual worlds. The study described in this paper aims to increase the authenticity of student learning through a range of SL simulated ‘life experiences’ relating to accessibility and mobility in the built environment. Significantly, the successes of such initiatives lie in several elements: teaching champions with vision and courage; detailed scripting of precise role-play encounters for first-time users to provide supportive ‘blended learning’ contexts; careful and vigilant strategic management of facilities and resources, and a robust design program. This paper focuses on the crucial alignment of these elements to the specific challenges of designing and navigating conception and development processes, to enable the execution and delivery of a tightly defined script for meaningful and memorable learning outcomes. This innovative pedagogical approach lacks time-tested outcomes, but is recognised equally as opportunity and challenge; risk and reward.

Person-organization fit as a vehicle for knowledge sharing and creation

Tacit knowledge is difficult to transfer. It is also context specific. Hence it is often argued to be a key strategic asset and as such attention to how it is created and transferred in organisation in critical to strategists. The transfer of tacit knowledge is however still a challenge. It is known that shared communication and socialization are important processes in the transfer of tacit knowledge and person–organization fit (POF) is associated with such phenomena. Hence we argue that POF is likely to shape the transfer of tacit knowledge with higher levels of one resulting in higher levels of the other. We explore the interaction of tacit knowledge and POF fit and develop a matrix that suggests a complex interaction between the two.

A survey of value-at-risk and its role in the banking industry

This paper discusses the various aspects of Value-at-Risk (VaR) and the VaR-based risk management process as it pertains to the banking industry. Since its inception in the 1990’s, VaR has become the industry standard by which market risk is both measured and managed by financial institutions today. However, there has been much debate regarding VaR’s validity and the extent of its role within the banking industry. Yet, now that it is an integral part of the regulatory framework, establishing VaR’s legitimacy is more important than ever. Therefore, this paper examines the recent literature on VaR’s use as a market risk management tool within the banking environment in an attempt to clarify some of the more contentious issues which have been raised by researchers. The discussion begins by highlighting the underlying theory on which VaR is based, specific aspects which have proven controversial and its use from a regulatory perspective. The focus then turns to what little literature exists on the subject of VaR and asset returns in an attempt to provide some direction for future research.

Major quantitative techniques for risk analysis in the construction industry : a comparative analysis

Risk analysis is one of the critical functions of the risk management process. It relies on a detailed understanding of risks and their possible implications. Construction projects, because of their large and complex nature, are plagued by a variety of risks which must be considered and responded to in order to ensure project success. This study conducts an extensive comparative analysis of major quantitative risk analysis techniques in the construction industry. The techniques discussed and comparatively analyzed in this report include: Programme Evaluation and Review Technique (PERT), Judgmental Risk Analysis Process (JRAP), Estimating Using Risk Analysis (ERA), Monte Carlo Simulation technique, Computer Aided Simulation for Project Appraisal and Review (CASPAR), Failure Modes and Effects Analysis technique (FMEA) and Advanced Programmatic Risk Analysis and Management model (APRAM). The findings highlight the fact that each risk analysis technique addresses risks in any or all of the following areas – schedule risks, budget risks or technical risks. Through comparative analysis, it has been revealed that a majority of risk analysis techniques focus on schedule or budget risks. Very little has been documented in terms of technical risk analysis techniques. In an era where clients are demanding and expecting higher quality projects and finishes, project managers must endeavor to invest time and resources to ensure that the few existing technical risk analysis techniques are developed and further refined, and that new technical risk analysis techniques are developed to suit the current construction industries requirements.

How organisations know what they know : a survey of knowledge identification methods among Australian organisations

Literature surrounding the Knowledge Management process of identifying what knowledge exists within an organisation is scarce. This research project set out to fill the research gaps surrounding that particular Knowledge Management process called Knowledge Identification. This paper reports on the findings of a survey sent to 973 Australian organisations to investigate their Knowledge Identification practices. The survey findings show that while organisations do perceive Knowledge Identification to be important, the practice of KI has not reached mainstream adoption yet. The reasons why and why not, and the range of methods organisations currently use to establish what knowledge exists within their four walls are identified. The survey findings also reveal two opposing approaches organisations take in practising KI: proactive KI and reactive KI.

The science and practice of lithium therapy

Introduction: Despite more that 60 years of clinical experience, the effective use of lithium for the treatment of mood disorder, in particular bipolarity, is in danger of becoming obsolete. In part, this is because of exaggerated fears surrounding lithium toxicity, acute and long-term tolerability and the encumbrance of life-long plasma monitoring. Recent research has once again positioned lithium centre stage and amplified the importance of understanding its science and how this translates to clinical practice.

Objective: The aim of this paper is to provide a sound knowledge base as regards the science and practice of lithium therapy.

Method: A comprehensive literature search using electronic databases was conducted along with a detailed review of articles known to the authors pertaining to the use of lithium. Studies were limited to English publications and those dealing with the management of psychiatric disorders in humans. The literature was synthesized and organized according to relevance to clinical practice and understanding.

Results: Lithium has simple pharmacokinetics that require regular dosing and monitoring. Its mechanisms of action are complex and its effects are multi-faceted, extending beyond mood stability to neuroprotective and anti-suicidal properties. Its use in bipolar disorder is under-appreciated, particularly as it has the best evidence for prophylaxis, qualifying it perhaps as the only true mood stabilizer currently available. In practice, its risks and tolerability are exaggerated and can be readily minimized with knowledge of its clinical profile and judicious application.

Conclusion: Lithium is a safe and effective agent that should, whenever indicated, be used first-line for the treatment of bipolar disorder. A better understanding of its science alongside strategic management of its plasma levels will ensure both wider utility and improved outcomes.

The Supervision of Known Sex Offenders in the Community: Monitoring Progress and Providing Feedback

Case management is the process by which most known sex offenders who live in the community are currently supervised. However, by itself, case management has been shown to have only a modest impact on rates of re-offending, and it is only when case work and/or treatment sessions are introduced, that the benefits become apparent. This paper considers how routinely collecting and feeding back standardized data about client progress towards supervisory goals can be integrated into the offender supervision and case management process. Based on methods that have been shown to be associated with enhanced outcomes in mental health, it is suggested that the implementation of feedback approaches have the potential to both enhance the case management process and improve the effectiveness of those policies which require it.

Prospects and challenges of Free Trade Agreements unlocking business opportunities in Gulf Co-Operation Council (GCC) markets

Prospects and Challenges with Free Trade Agreements presents the results of a study that assesses the effectiveness of free trade agreements (FTAs) in unlocking international business opportunities in member states of the Gulf Cooperation ...

SecDSVL: a domain-specific visual language to support enterprise security modelling

Enterprise security management requires capturing different security and IT systems' details, analyzing and enforcing these security details, and improving employed security to meet new risks. Adopting structured models greatly helps in simplifying and organizing security specification and enforcement processes. However, existing security models are generally limited to specific security details and do not deliver a comprehensive security model. They also often do not have user-friendly notations, being complicated extensions of existing modeling languages (such as UML). In this paper, we introduce a comprehensive Security Domain Specific Visual Language (SecDSVL), which enables capturing of key security details to support enterprise systems security management process. We discuss our SecDSVL, tool support and the model-based enterprise security management approach it supports, give a usage example, and present evaluation experiments of SecDSVL.