Rodney Anthony Stewart

Quantifying the influence of environmental and water conservation attitudes on household end use water consumption.

Within the research field of urban water demand management, understanding the link between environmental and water conservation attitudes and observed end use water consumption has been limited. Through a mixed method research design incorporating field-based smart metering technology and questionnaire surveys, this paper reveals the relationship between environmental and water conservation attitudes and a domestic water end use break down for 132 detached households located in Gold Coast city, Australia. Using confirmatory factor analysis, attitudinal factors were developed and refined; households were then categorised based on these factors through cluster analysis technique. Results indicated that residents with very positive environmental and water conservation attitudes consumed significantly less water in total and across the behaviourally influenced end uses of shower, clothes washer, irrigation and tap, than those with moderately positive attitudinal concern. The paper concluded with implications for urban water demand management planning, policy and practice.

STRATEGIC IMPLEMENTATION OF IT/IS PROJECTS IN CONSTRUCTION: A CASE STUDY

The need for improved implementation of Information Technology (IT) and Information Systems (IS) has been emphasised in both empirical and prescriptive research studies. This problem is magnified in the construction industry, which has been slow to embrace and utilise new technologies with negative consequences on productivity and innovation. This paper presents a strategic implementation framework for IT/IS projects in construction. The framework builds upon recent published works and encompasses well-documented predictors for effective IT/IS implementation. A case study with a large multi-national construction organisation is used to demonstrate the strategic implementation of a Project Management Information System (PMIS) used for the construction of a mobile phone telecommunications network in the South East of Queensland, Australia.

Web-based knowledge management system: linking smart metering to the future of urban water planning

Abstract The planning of cities and the planning of their water supplies are intertwined. This paper explores the potential role of smart metering for the future of water planning and management in Australian cities. Smart meters for electricity are being rolled out nationally, and while smart meters for water are not yet being implemented at such a scale, they have the capacity to deliver increasing data to planners and residents about patterns of water use. To translate these data to useful information, a Web-Based Knowledge Management System (WBKMS) is proposed that integrates smart metering, end-use water consumption data, wireless communication networks and information management systems in order to provide real-time information on how, when and where water is being consumed for the consumer and utility. Summary data from the system will also be of interest to architects, developers and planners, seeking to understand water consumption patterns across stratified urban samples. An overview of the challenges for developing the WBKMS and an associated research agenda to address current knowledge gaps concludes the paper.

An experimental test of voluntary strategies to promote urban water demand management

In light of the current and future threats to global water security the current research focuses on trialing interventions to promote urban water conservation. We report an experimental study designed to test the long-term impact of three different interventions on household water consumption in South East Queensland. Participants from 221 households were recruited and completed an initial survey, and their houses were fitted with smart water meters which measured total water usage at 5 s intervals. Households were allocated into one of four conditions: a control group and three interventions groups (water saving information alone, information plus a descriptive norm manipulation, and information plus tailored end-user feedback). The study is the first to use smart water metering technology as a tool for behaviour change as well as a way to test the effectiveness of demand management interventions. Growth curve modelling revealed that compared to the control, the three intervention groups all showed reduced levels of household consumption (an average reduction of 11.3 L per person per day) over the course of the interventions, and for some months afterwards. All interventions led to significant water savings, but long-term household usage data showed that in all cases, the reduction in water use resulting from the interventions eventually dissipated, with water consumption returning to pre-intervention levels after approximately 12 months. Implications for water demand management programs are discussed.

Utilizing the balanced scorecard for IT/IS performance evaluation in construction

Leading organizations do not stop at the gathering and analysis of performance data; rather, these organizations use performance measurement to stimulate improvement efforts and successfully translate strategy into action. In other words, they use performance measurement for managing their organizations. The most commonly used performance evaluation tool, the balanced scorecard (BSC) has been used extensively in the manufacturing, government, banking, retail, insurance and financial services sectors. This paper looks at potential applications and benefits of using the BSC as a framework to evaluate the performance improvement resulting from IT/IS implementation by a construction organization. The paper firstly seeks to adapt the original BSC concept to construction and then attempts to develop a performance measurement framework in the form of a tiered “Construct IT” BSC. The developed framework allows for the measurement of IT/IS performance at three different decision‐making tiers (i.e., project, business unit and enterprise tiers). At each tier, a group of performance indicators are used to describe key aspects of activities that occur frequently enough to warrant meaningful measurement and comparison. The proposed framework applies the analytic hierarchy process (AHP) and multi‐attribute utility theory (MAUT) to facilitate aggregating the obtained diverse performance measurements, thus giving rise to an overall IT/IS performance improvement measure (score) at each decision‐making tier. To illustrate the application of the proposed framework, a project tier example is provided.

An empirical investigation into the link between information technology implementation barriers and coping strategies in the Australian construction industry

The need for the improved implementation of information technology (IT) has been identified in both empirical and highly structured research studies as being critical to effective innovation and development at an industry and enterprise level. This need is greater in the construction industry as it has been relatively slow to embrace the full potential of IT‐based technologies. In an attempt to understand why the construction industry lags other industries in the uptake and effective implementation of IT, this study reports on an investigation of the Australian construction industry, which identifies the impediments or barriers to IT implementation and the most effective coping strategies to overcome them. A questionnaire‐based research approach was adopted for this purpose and a total of 134 valid survey responses were received from various architectural, engineering and construction professionals. The questionnaire was designed to identify perceptions of the most significant barriers to IT implementation and to determine the most “practical” and “effective” corresponding coping strategies to mitigate their effects at three decision‐making levels: Industry; Organization; and Project.

IT/IS Projects selection using multi-criteria utility theory

In recent years, there has been a growing awareness that most decision makers are not only concerned with the financial implications of information technology/system (IT/IS) projects, but they are also concerned with other objectives such as competitive advantage, market share and future growth. Nowadays, multi‐criteria decision‐making methods are gaining importance due to their inherent ability to judge different alternative scenarios for possible selection of the best alternative. This paper provides a decision‐making framework for senior executives when selecting innovative IT/IS projects. The proposed framework is based on the multi‐criteria utility theory (MCUT) combined with information economics principles to select IT/IS project(s) based on “business value” and “risk” criteria. MCUT has the advantage of taking into consideration the decision maker’s preferences in the form of utility functions defined over a set of tangible and intangible criteria. To illustrate the application of the proposed framework, a hypothetical case study is provided, where input elicited from four engineering professionals is used to develop utility functions for a predefined set of selection criteria.

The role of climate for innovation in enhancing business performance: The case of design firms

Purpose – Innovation and the process of diffusion have been widely acknowledged as hinging upon the complex social psychological process. Invariably, such a process manifests itself in the form of “climate” in an organisation, which influences peoples behaviours. The purpose of this paper is to empirically investigate the roles of a facet‐specific climate, namely “climate for innovation” in determining innovation‐related outcomes. In particular, this paper focuses on interrelationships and roles of specific constructs forming such climate. Additionally, this paper attempts to determine the efficacy of innovation by examining the relationship between outcomes of innovation diffusion and business performance.Design/methodology/approach – A conceptual model incorporating three climate for innovation constructs including leadership, team, and organisational culture along with two constructs addressing innovation diffusion outcomes and business performance was developed. Statistical analyses, specifically exp...

Evaluating the value IT adds to the process of project information management in construction

Abstract This paper looks at the potential applications and benefits of using the Balanced Scorecard (BSC) as a framework to evaluate the value IT adds to the process of project information management in construction. The paper builds upon recently published works by the authors, by further strengthening the conceptually developed ‘Construct IT’ BSC framework, through the validation of the frameworks five (5) IT-related performance measurement perspectives and associated performance indicators. Construction professionals from large construction contracting and project management organisations located within Australia were used as the target group for a questionnaire survey. The survey results supported the five perspective ‘Construct IT’ BSC framework. Evidence of reliability and validity is presented for the conceptual framework.

ANN-based residential water end-use demand forecasting model

Bottom-up urban water demand forecasting based on empirical data for individual water end uses or micro-components (e.g., toilet, shower, etc.) for different households of varying characteristics is undoubtedly superior to top-down estimates originating from bulk water metres that are currently performed. Residential water end-use studies partially enabled by modern smart metering technologies such as those used in the South East Queensland Residential End Use Study (SEQREUS) provide the opportunity to align disaggregated water end-use demand for households with an extensive database covering household demographic, socio-economic and water appliance stock efficiency information. Artificial neural networks (ANNs) provide the ideal technique for aligning these databases to extract the key determinants for each water end-use category, with the view to building a residential water end-use demand forecasting model. Three conventional ANNs were used: two feed-forward back propagation networks and one radial basis function network. A sigmoid activation hidden layer and linear activation output layer produced the most accurate forecasting models. The end-use forecasting models had R^2 values of 0.33, 0.37, 0.60, 0.57, 0.57, 0.21 and 0.41 for toilet, tap, shower, clothes washer, dishwasher, bath and total internal demand, respectively. All of the forecasting models except the bath demand were able to reproduce the means and medians of the frequency distributions of the training and validation sets. This study concludes with an application of the developed forecasting model for predicting the water savings derived from a citywide implementation of a residential water appliance retrofit program (i.e., retrofitting with efficient toilets, clothes washers and shower heads).