Stakeholder analysis in urban development : the application of stakeholder circle methodology and social network analysis

The increasing research interest on stakeholder analysis in urban planning reflects a growing recognition that stakeholders can and should influence the decision-making. This paper concentrates on exploring the techniques for analysing stakeholders, especially the application of the Stakeholder Circle tool and Social Network Analysis. An urban renewal project and an infrastructure project in Australia are presented as case studies to verify the use of these two techniques. The stakeholders are identified and prioritized from two different points of view, namely, the attribute evaluations in the Stakeholder Circle tool, and the relationship network analysis. The paper ends with a discussion on the strengths and limitations of the techniques for stakeholder analysis. No method for stakeholder identification and prioritization is perfect. The selection of the approaches is an art with extensive considerations of ‘when, what, and how’ to choose methods to achieve the project objectives. Each method has its own strengths and limitations. Combining several methods when necessary is the best way to analyse stakeholders.

Development of enhanced curriculum through student-based research

The introduction of the new “Early Years Learning Framework” (DEEWR, 2009 has shifted, the focus in Early Childhood Centres (ECC) from incidental learning through play, to planning curriculum with play as the vehicle to achieve learning. Our Teaching and Learning Grant Project was intended to identify instances of educator practice that fit with the new framework, and video practitioners’ sessions to select vignettes to use as part of an Early Childhood Science Education Unit. The method of identifying and collecting such illustrations is examined here for its feasibility as a research design to collect data to explore a range of educator practices that fit with the new framework. The data collection method was found useful for these purposes.

Development of guidelines for caregivers of people with bipolar disorder : a Delphi expert consensus study

Objectives: Close family and friends are often a primary source of support for a person with bipolar disorder. However, there is a lack of
information for caregivers about ways to provide helpful support and take care of themselves. Rates of caregiver burden are high and increase the risk of caregiver depression and health problems. This study aimed to develop guidelines to assist caregivers of adults with bipolar disorder to be informed about bipolar disorder and to support the person without neglecting their own wellbeing.
Methods: The Delphi method was used to assess consensus between international expert panels of 45 caregivers, 47 consumers, and 51 clinicians about what information to include in the caregiver guidelines. Initial online survey items were based on the existing literature. Subsequent surveys included new or reworded items suggested by panel members and items that needed re-rating. Items endorsed by at least 80% of all three panels formed the content of the guidelines.
Results: Nearly 86% of the 626 survey items were endorsed. The items covered information on the illness, treatment, and suggestions on ways caregivers can provide support and take care of themselves in the different phases of illness and wellness, and information on dealing with specific real-life challenges. Although consensus rates were high, meaningful areas of difference between panels were found (e.g., collaboration issues).
Conclusions: The guidelines provide comprehensive introductory information, suggestions, and resources for caregivers. Access to relevant information may help caregivers to cope constructively with the person’s bipolar disorder and their caregiving situation. The content of the guidelines could be used to help formulate a stepped-care approach to supporting caregivers, ranging from basic information and pamphlets to brief training courses and specialized family or caregiver interventions based on need and accessibility.

Teaching the scientific method in the curriculum

 In chemistry education, students not only learn chemical knowledge and skills, but about the culture of chemistry – how scientists think about, and practise, chemistry. Students often learn that science is practised according to the “scientific method”, which is a model of scientific discovery, expounded by science historians and philosophers. The idealised “scientific method” has a number of steps: the collection of information about a phenomenon; the development of a hypothesis to explain those observations; an experiment to test a prediction that arises from the hypothesis, perhaps including more observations and collection of more information; improvement of the hypothesis; and so on.

The problem is that students (and even some science professionals) often do not understand the philosophy behind the scientific method and paradoxically, the scientific method does not seem to apply to most careers in science. The true nature of science is that concepts have been developed though variants of the “scientific method”, and that a process of testing the predictive value of these concepts has lead to advances in that conceptual knowledge. Hence the “scientific method” applies to the development of scientific ideas, not necessarily to the work of all scientists. It is not whether we personally use the scientific method in our day-today work, but how we use, apply, think about and communicate scientific knowledge and skills that makes us chemists.

Development of an expert system modelling the construction process

The construction industry in the UK needs to improve its performance and provide clients with an improved level of satisfaction. The inefficient design and construction process is usually criticised as one of the main causes of poor performance.

A new construction process system, CONstruction Best Practice System (CONBPS), has been developed based on the use of an expert system. CONBPS is based on the traditional procurement strategy as it is probably the most popular procurement method in the UK and yet it is subject to most criticism. This model clearly identifies the roles and responsibilities of the major parties within the building team and identifies the activities and the key issues within the project cycle. The completed model reflects the full project cycle from inception to completion.

The prototype of this system has been demonstrated to the construction participants for their comments. The practitioners included architects, quantity surveyors, planning supervisors, private and public clients. The method of collecting data was through the use of semi-structured interviews.

Following feedback from practitioners, the CONBPS has been updated. This version is more robust; besides, it is more practical and user-friendly as it incorporates the comments from practitioners, who are also the potential users.

The primary aim of this paper is to discuss the development of the updated CONBPS. The improvement of the updated CONBPS includes the information for constructing the system, the computerised functions, system structure, knowledge representation structure and the system operation.

Development of an intelligent system for the solder paste printing process

A neurogenetic-based hybrid framework is developed where the main components within the framework are artificial neural networks (ANNs) and genetic algorithms (GAs). The investigation covers a mode of combination or hybridisation between the two components that is called task hybridisation. The combination between ANNs and GAs using task hybridisation leads to the development of a hybrid multilayer feedforward network, trained using supervised learning. This paper discusses the GA method used to optimize the process parameters, using the ANN developed as the process mode, in a solder paste printing process, which is part of the process in the surface mount technology (SMT) method. The results obtained showed that the GA-based optimization method works well under various optimization criteria

Power and discourse in information systems practice : a narrative research method

Relationships of authority and control and their effect on information systems actors has interested IS researchers since at least the 1980’s. The study of power itself has also troubled organisational and sociological theorists, from which information systems researchers have drawn various lines of attack. Our approach to power rests on an historical synchronic theory that seeks to uncover the places and operation of power through an examination of narrative ‘testaments’ which are analysed not from the perspective of the giving individual but from the structural elements of discourse that they may represent. This paper compliments previous research methods on the topic of power especially in expert reports and systems development methodologies; provides specific guidance on how to apply the notion of discourse synchronically; and reconstructs the commercial practice of information systems, not as a broad church, but as one of competing and epistemologically incommensurate discourse, where the fates of the powerful are balanced against the fearful and silent disciplined.

Realist synthesis : illustrating the method for implementation research

Background
Realist synthesis is an increasingly popular approach to the review and synthesis of evidence, which focuses on understanding the mechanisms by which an intervention works (or not). There are few published examples of realist synthesis. This paper therefore fills a gap by describing, in detail, the process used for a realist review and synthesis to answer the question 'what interventions and strategies are effective in enabling evidence-informed healthcare?' The strengths and challenges of conducting realist review are also considered.
Methods
The realist approach involves identifying underlying causal mechanisms and exploring how they work under what conditions. The stages of this review included: defining the scope of the review (concept mining and framework formulation); searching for and scrutinising the evidence; extracting and synthesising the evidence; and developing the narrative, including hypotheses.
Results
Based on key terms and concepts related to various interventions to promote evidenceinformed healthcare, we developed an outcome-focused theoretical framework. Questions were tailored for each of four theory/intervention areas within the theoretical framework and were used to guide development of a review and data extraction process. The search for literature within our first theory area, change agency, was executed and the screening procedure resulted in inclusion of 52 papers. Using the questions relevant to this theory area, data were extracted by one reviewer and validated by a second reviewer. Synthesis involved organisation of extracted data into evidence tables, theming and formulation of chains of inference, linking between the chains of inference, and hypothesis formulation. The narrative was developed around the hypotheses generated within the change agency theory area.
Conclusions
Realist synthesis lends itself to the review of complex interventions because it accounts for context as well as outcomes in the process of systematically and transparently synthesising relevant literature. While realist synthesis demands flexible thinking and the ability to deal with complexity, the rewards include the potential for more pragmatic conclusions than alternative approaches to systematic reviewing. A separate publication will report the findings of the review.

Diamond Dialogue method for the evaluation of personal well-being after a maternal health intervention in Lao PDR

This paper follows the genesis of an evolving tool to measure the impact of development interventions on personal well-being in non-literate and non-numerate communities. The Diamond Dialogue was adapted to evaluate the impact on women of the establishment of 17 one stop maternity waiting home/health promotion/income generating centres (Silk Homes) in Southern Lao PDR. The tool elicited data not accessible by research methods which assume literacy and numeracy and revealed that 86% of women who used the Silk Homes experienced substantial improvements in quality of life. The Diamond Dialogue can be modified to assess the outcomes of development interventions in a myriad of contexts.

Optimization of bypass graft using FSI numerical method

It is well documented in literature that the coronary artery bypass graft is normally fail after a short period of time, due to the development of plaque known as intimal hyperplasia within the graft. Various in vivo and in vitro studies have linked the development of intimal hyperplasia to the abnormal hemodynamics and compliance mismatch. Therefore, it is essential to fully understand the relationship between the hemodynamics inside the coronary artery bypass and its mechanical and geometrical characteristics under the correct physiological conditions. In this work, hemodynamic of the bypass graft is studied numerically. The effect of the host and graft diameters ratio, the angle of anastomosis and the graft configuration on the local flow patterns and the distribution of wall shear stress are examined. The pulsatile waveforms boundary conditions are adopted from in vivo measurement data to study the hemodynamics of composite grafts namely Consequence and Y grafting in terms temporal and spatial distributions of the blood flows. Moreover, various non-Newtonian and Newtonian models of blood have been carried out to examine the numerical simulation of blood flow in stenosis artery. The results are presented and discussed for various operating conditions.

Development of construction best practice expert system

The performance level of construction industry in the UK is generally considered to be low. The reasons for this situation are twofold, firstly due to the temporary organisational structure of construction team and secondly the inefficient construction process. Previous research in this area has focused on developing a generic model to represent the construction process. It is necessary to develop a process model, which clearly identifies the roles and responsibilities of the major parties on the building team and identifies the key issues within the project cycle. The method for presenting this model is by using an expert system. The primary aim of this paper is to discuss the development of the CONstruction Best Practice System (CONBPS). The theoretical framework of CONBPS and the development and evaluation of the system will be described. The future research will also be discussed. Finally, the advantage of this model will be identified.

Analysing stakeholder-associated risks in green buildings : a social network analysis method

In the research of risk associated with developing energy and water efficient green buildings, previous studies had mainly focused on "what the risks are and how the risks may impact on project objectives", which were from an inward looking self-perspective and treated the risks in isolation from one another. While intensive research efforts have been dedicated to risk identification, assessment, classification, prioritisation and mitigation, a research gap exists, that is previous studies had ignored the fact that most risks are interrelated and associated with internal or external project stakeholders. To remedy the gap, this current research developed and presented a SNA (Social Network Analysis) based stakeholder-associated risk analysis method to assess risks in green buildings and the interactions between the risks. A case study has been conducted to demonstrate and validate this method. This research contributes to the development of a new theory to model the interdependent and interactive relationships of risks by using SNA as a methodology. This research should broaden project managers' awareness of the influential risks in green building and enhance their ability to perceive, understand, assess, and mitigate the risks in an effective and efficient way, thereby achieving higher performance in strategic risk management and stakeholder communication in green building development.

Development of an evidence-based scoring system (HF-IS) to assess the quality of heart failure programmes for patients postdischarge from hospital

Aim.  The aim of this study was to develop a potential scoring algorithm for interventions in a chronic heart failure management programme – the Heart Failure Intervention Score – to facilitate quality improvement and programme auditing.

Background.  The overall efficacy of chronic heart failure management programmes has been demonstrated in several meta-analyses. However, meta-analyses did not determine individual interventions in a programme that resulted in beneficial patient outcomes.

Design.  A prospective cross-sectional survey design.

Method.  All chronic heart failure management programmes in Australia (n = 62), identified by a national register, were surveyed to determine programme characteristics and interventions.

Results.  Of the 62 national chronic heart failure management programmes, 48 (77%) completed the survey and 27 individual interventions were identified. Variability in the use of the key interventions was common among the programmes. Each intervention was given an arbitrary weighted score according to the level of supportive evidence available and a total score calculated. Programmes were then categorised into low or high complexity based on several interventions implemented and their weighted score. A total score of ≥190 (median = 178, interquartile range 176–195) was used to divide programmes into two groups. Nine programmes were categorised into high Heart Failure Intervention Score group and majority of these were based in the acute hospital setting (78%). In the low Heart Failure Intervention Score group, there were 39 programmes of which there were a higher proportion of community-based programmes (38%) and programmes in small community hospitals (10%).

Conclusion.  The Heart Failure Intervention Score provides a potential evidence-based quality improvement tool through which a set of minimum standards can be developed. Implementation of the Heart Failure Intervention Score provides guidance to programme coordinators to enable monitoring of standards of heart failure programmes, which may potentially result in better patient outcomes.

Development and delivery of the appropriate assessments items for power systems related PBL subjects

Problem Based Learning (PBL) as a teaching method has been around for many years. It is one of the most effective ways of learning and teaching. It uses real world problems as a learning method and encourages learners to learn independently while a mentoring support is provided by the academic. However, various academic institutions develop the assessments items in many ways; the implementation and delivery become a challenge in ensuring the right assessment and implementation. This paper discusses some of the practical experiences of the development and delivery of the appropriate assessment items for power systems related PBL subjects.

Hybrid prediction method for solar power using different computational intelligence algorithms

Computational Intelligence (CI) holds the key to the development of smart grid to overcome the challenges of planning and optimization through accurate prediction of Renewable Energy Sources (RES). This paper presents an architectural framework for the construction of hybrid intelligent predictor for solar power. This research investigates the applicabil- ity of heterogeneous regression algorithms for 6 hour ahead solar power availability forecasting using historical data from Rockhampton, Australia. Real life solar radiation data is collected across six years with hourly resolution from 2005 to 2010. We observe that the hybrid prediction method is suitable for a reliable smart grid energy management. Prediction reliability of the proposed hybrid prediction method is carried out in terms of prediction error performance based on statistical and graphical methods. The experimental results show that the proposed hybrid method achieved acceptable prediction accuracy. This potential hybrid model is applicable as a local predictor for any proposed hybrid method in real life application for 6 hours in advance prediction to ensure constant solar power supply in the smart grid operation.