Towards managing user resistance in large ICT projects

The thesis examines activities undertaken in project environments to minimise subsequent user resistance to new ICT systems. A model and practitioner guidelines, integrating concepts/practices from project management; organisational/product innovation; and change management, have been developed and partially validated. These supplement the existing, widely used Project Management Body of Knowledge documentation.

IT project implementation strategies for effective changes : a critical review

Information technology (IT) project implementation is still a grey area. There are differences of opinion among educators and practitioners on strategic emphasis and implementation methods. Implementation of IT projects, especially large IT projects, is synonymous to management of changes in an organisation, be it for altering the work culture or gaining competitive advantages. When formulating effective change management strategies to support the introduction of IT, it may be useful to integrate and use concepts and practices drawn from disciplines such as traditional project management, organisational/product innovation, and change management theory and practices. This paper examines project management and product innovation literature to identify change management concepts and practices.

Advancing architecture ecologies : energy principles in nature and urban systems

The search for a coherent approach to optimising the delivery of sustainable development has moved from rhetoric to reality, shaped by international drivers such as the UN Millennium Development Goal and the UN 'Decade of Education for sustainable development 2005- 2014'. Emphasis has been recently placed by Governmental bodies on creativity and innovation as a way to promote and sustain the social, cultural and economic well-being. This has led to, amongst other things, the development of a series of new initiatives to promote sustainable development. There is still a lack of understanding of the impacts of sustainability on architecture and their associated and interrelated ecologies because, at least in part, there is no significant joined up thinking regarding the implications of sustainability across the whole design, implementation and operation processes. There is a considerable challenge to ensure integration, cross-fertilisation and dissemination to provide meaningful outputs from the vast array of ecological systems with their differing structures. This paper explores the processes rather than products of ecological systems and possibilities for a credible integral system that guide sustainable development and advance architecture ecologies. The paper traces back the roots of the divorce between architecture profession and technology and highlights the importance of reaching back to the true meanings of Techne as key to develop integral sustainable systems. The paper underlines the energy principles that construct ecological principles and provide explanation of how such systems can be interpreted in the built environment. Enriching ecological culture is not a physical development or a large expensive projects but rather in a coherent and focused efforts by a group of professionals, academics, and practitioners with multi disciplinary talents to build a complex and multi facets of integral systems and ideas.

Total safety culture by behavior-based safety approach

Safety is a social responsibility and providing a safe working environment is the obligation of a responsible employer. Working safely can generate direct financial benefits. However, poor safety planning and management may lead to tremendous adverse effects on cost, time and quality of a project. Statutory liabilities and heavy fines directly increase project cost; losing working hours as a result of safety incident impacts on the project programme. When tradesmen are working in an unsafe site environment, the project quality may be affected. Therefore, promoting "safety" is always the very first and utmost priority in any large scale projects. Bodley (2000) argues that culture involves what people think, what they do, and what they produce. In order to provide a safe working environment, one of the best ways is to create a safety culture within the organization, because organizational-cultural factors play an important role in safety management. Geller emphasises the importance of safety culture and further states that behaviour-based safety (BBS) is a useful approach to uphold organizational safety culture. The basic premise of BBS is self-perception and the degree of self-perception will lead to pleasant safety outcomes. This degree can be measured by level of workers' involvement. When everyone in the project is accountable to safety, they will contribute positively. This paper is a case study reviewing how BBS approach fosters safety culture leading to ultimate success. The model illustrated by the case study will be useful to analyze the organizational safety culture quantitatively.

Data warehouse design and legal visualization – the applicability of H2 for reporting

The steady increase of regulations and its acceleration due to the financial crisis heavily affect the management of regulatory compliance. Regulations, such as Basel III and Solvency II particularly impact data warehouses and lead to many organizational and technical changes. From an IS perspective modeling techniques for data warehouse requirement elicitation help to manage conceptual requirements. From a legal perspective attempts to visualize regulatory requirements – so called legal visualization approaches – have been developed. This paper investigates whether a conceptual modeling technique for regulatory-driven data warehouse requirements is applicable for representing data warehouse requirements in a legal environment. Applying the modeling technique H2 for Reporting in three extensive modeling projects provides three contributions. First, evidence for the applicability of a modeling technique for regulatory-driven data warehouse requirements is given. Second, lessons learned for further modeling projects are provided. Third, a discussion towards a combined perspective of information modeling and legal visualization is presented.

Analytical network modeling of heterogeneous large-scale cluster systems

The study of the communication networks for distributed systems is very important, since the overall performance of these systems is often depends on the effectiveness of its communication network. In this paper, we address the problem of networks modeling for heterogeneous large-scale cluster systems. We consider the large-scale cluster systems as a typical cluster of clusters system. Since the heterogeneity is becoming common in such systems, we take into account network as well as cluster size heterogeneity to propose the model. To this end, we present an analytical network model and validate the model through comprehensive simulation. The results of the simulation demonstrated that the proposed model exhibits a good degree of accuracy for various system organizations and under different working conditions.

Modeling and simulation for large scale production systems

Computer modeling and simulation provide a foundation upon which industrial processes and systems can be transformed and innovation dramatically accelerated. Computer modeling and simulation is also an indispensable tool of the information age, used extensively in design, analysis, operations, decision-making, optimization, and education and training. Manufacturing, production and design relies upon simulation to develop efficient production systems and factories that produce quality products. Simulation in industry has yet to meet its full potential. The development of models is very time consuming, particularly for geometries of complex engineering systems such as manufacturing plants, automobiles, aircraft and ships. Computer simulation allows scientists and engineers to understand and predict three-dimensional and time-dependent phenomena in science and engineering discipline. This talk will focus on challenges associated with modeling and simulation in the manufacturing sector and through a number of case studies highlight the benefits gained through the use of such technologies.

Proposal of a tiered conceptual framework for sustainable design and planning of large-scale development projects in the metropolitan context

The overwhelming threat posed by climate change means that increasingly, emphasis is being placed on the need to integrate sustainability considerations into all areas of policy making, planning and development. Actors in the built environment are progressively considering environmental and social issues alongside functional and economic aspects of development projects. However, to date in Australia and internationally, there have been few practical examples of integrated applications of sustainability principles in the built environment across design, planning, construction, operation and de-construction phases. Notable initiatives have tended to be narrow in scope, focusing on either mitigation or adaptation strategies. Integrated considerations of impacts from component and building scales to city and regional scales and across physical and socio-economic dimensions are urgently needed, particularly for long-life major infrastructure projects. This paper proposes a conceptual framework based on the principal that early intervention is the most cost-effective and efficient means of implementing effective strategies for mitigation and adaptation. A Strategic Environmental Assessment (SEA) approach is forwarded as an umbrella analytical framework, assembled from analytical methods which are strategically ‘tiered’ to inform different stages of the planning and decision-making process. Techniques such as Ecological footprint, Life cycle costing and Risk analysis may be applied to integrate sustainable design, construction and planning considerations which address both mitigation and adaptation dimensions, results of each analysis ultimately being collated into the overall SEA. This integrated conceptual framework for sustainable, resilient and cost-effective infrastructure development will in practice be applied to assess selected case-studies of major development projects in Australia, focusing on the area of stadium development. Practically applied and timed accordingly, the framework would allow assessments to be targeted towards appropriate decision making levels and enable better decision-making and more efficient resource allocation for major infrastructure development projects.

Large-scale statistical modeling of motion patterns : a Bayesian nonparametric approach

We propose a novel framework for large-scale scene understanding in static camera surveillance. Our techniques combine fast rank-1 constrained robust PCA to compute the foreground, with non-parametric Bayesian models for inference. Clusters are extracted in foreground patterns using a joint multinomial+Gaussian Dirichlet process model (DPM). Since the multinomial distribution is normalized, the Gaussian mixture distinguishes between similar spatial patterns but different activity levels (eg. car vs bike). We propose a modification of the decayed MCMC technique for incremental inference, providing the ability to discover theoretically unlimited patterns in unbounded video streams. A promising by-product of our framework is online, abnormal activity detection. A benchmark video and two surveillance videos, with the longest being 140 hours long are used in our experiments. The patterns discovered are as informative as existing scene understanding algorithms. However, unlike existing work, we achieve near real-time execution and encouraging performance in abnormal activity detection.

Understanding the sources of uncertainty to reduce the risks of undesirable outcomes in large-scale freshwater ecosystem restoration projects: an example from the Murray–Darling Basin, Australia

There are a growing number of large-scale freshwater ecological restoration projects worldwide. Assessments of the benefits and costs of restoration often exclude an analysis of uncertainty in the modelled outcomes. To address this shortcoming we explicitly model the uncertainties associated with measures of ecosystem health in the estuary of the Murray– Darling Basin, Australia and how those measures may change with the implementation of a Basin-wide Plan to recover water to improve ecosystem health. Specifically, we compare two metrics – one simple and one more complex – to manage end-of-system flow requirements for one ecosystem asset in the Basin, the internationally important Coorong saline wetlands. Our risk assessment confirms that the ecological conditions in the Coorong are likely to improve with implementation of the Basin Plan; however, there are risks of a Type III error (where the correct answer is found for the wrong question) associated with using the simple metric for adaptive management. 

Sustainable planning and design of large-scale metropolitan development projects

Actors in the built environment are increasingly considering environmental issues alongside functional and economic aspects of development projects. However, to date in Australia and internationally, there have been few practical examples of integrated applications of sustainability principles in the built environment across all lifecycle phases. In response to this gap, this paper proposes a conceptual framework based on the principal that early intervention is the most cost-effective and efficient means of implementing effective strategies for sustainability. A strategic environmental assessment (SEA) approach is forwarded as an umbrella analytical framework, assembled from analytical methods which are strategically 'tiered' to inform stages of the project decision-making process. Practically applied and timed accordingly, the framework can allow assessments to be targeted towards appropriate decision making levels and enable better decision-making and more efficient resource allocation for major infrastructure development projects.

Machine learning for user modeling

At first blush, user modeling appears to be a prime candidate for straightforward application of standard machine learning techniques. Observations of the user's behavior can provide training examples that a machine learning system can use to form a model designed to predict future actions. However, user modeling poses a number of challenges for machine learning that have hindered its application in user modeling, including: the need for large data sets; the need for labeled data; concept drift; and computational complexity. This paper examines each of these issues and reviews approaches to resolving them.

Teaching and learning in collaborative group design projects

The 200 years of apprentice/master tradition that underpins the atelier studio system is still at the core of much present-day architectural design education. Yet this tradition poses uncertainties for a large number of lecturers faced with changes in the funding of tertiary education. With reductions in one-to-one staff/student contact time, many educators are finding it increasingly difficult to maintain an atelier teaching model. If these deficiencies remain unchecked and design-based schools are unable to implement strategies to reduce the resource intensity of one-to-one studio teaching programmes, then, for many higher-education providers, current architectural education may be based on an untenable course structure. Rather than spreading their time thinly over a large number of individual projects, an increasing number of lecturers are setting group projects. This allows them to coordinate longer and more in-depth review sessions on a smaller number of assignment submissions. However, while the group model may reflect the realities of the design process in professional practice, the approach is not without shortcomings as a teaching and learning archetype for the assessment of individual student skill competencies. Hence, what is clear is the need for a readily adoptable andragogy for the teaching and assessment of group design projects. The following is a position paper that describes – with a focus on effective group structures and assemblage and fair assessment models – the background, methodology and early results of a Strategic Teaching and Learning Grant currently running at the School of Architecture and Building at Deakin University in Australia.