The development of 'soft' strategic indicators for international client satisfaction

Despite the increasing significance of the construction industry as an emerging sector of the Australian economy, there is inadequate research performed on construction design firms in terms of theoretical and empirical foundations. Although past research has identified the barriers and success factors for firm market entry, evidence suggests that to date no research has explicitly explored the sustainability of construction design firms in international markets. SMEs and their approach to firm internationalisation differ significantly from large manufacturing firms and a vast majority of construction design firms operate as SMEs. This paper develops a sustainable business model for construction design SMEs, which rely upon the development of clear Client Following (CF) versus Market Seeking (MS) strategies to support internal firm strategic and operational management. The understanding of these strategies is vital as the application of either will shape the design management approach of firms, which would in turn impact on the sustainability of these firms in foreign markets. Long-term sustainability of firms in international markets relies heavily upon client satisfaction. Client and project team participants’ communication during various design processes has often been problematic and the added difficulty of communicating across international boundaries further compounds the problem of capturing and maintaining client’s requirements. Therefore this paper develops a model for business sustainability of Australian construction design firms working in international markets by exploring factors that affect client satisfaction across international boundaries, through the development of business performance indicators. These include not only the critical financial capital but also other ‘softer’ indicators, namely: social, cultural and intellectual capital. These act as a firm’s measure of success and the acquisition of this type of capital will provide significant advantages to firms’ success, hence sustainability in international markets.

Why do women like working in building conservation?

There is a perception that Building Conservation as a career is different from the mainstream, and it appears to be more attractive to women - at whatever level - than many other careers in the construction industry. Whilst recruitment and publicity can be targeted, the culture within the construction industry can be a barrier to entry for anyone that is "different." As Clara Greed (1999) discovered in her research "the traits, beliefs and lifestyle peculiar to the construction tribe" can inhibit the entry to the industry of a number of groups outside the traditional pool. The growth of women in the workforce generally (some 50% according to Turrell et al, 2000) is nowhere near being matched within the construction industry as a whole - the Construction Industry Board placed it at around 8.6% in 2000 across all positions. The various UK industry and professional bodies are actively supporting the need to attract women, with the CITB saying they want a 10% year on year increase in participation, the RICS have their own Raising the Ratio working group and the RIBA have carried out research to find out "why women leave architecture."

Of course the whole of the industry is not unfriendly to women - there are a number of us who have been in the industry for many years and recognise it as a fulfilling and exciting career - a number of women work as surveyors working on historic buildings. The initiatives that are working towards change might have something to learn from Building Conservation - while the shortage of skills is just as severe in work with historc buildings - this area of work holds an attraction to women, not found elsewhere. This paper draws on research carried out to explore some of the reasons for this.

The study involved sending a questionnaire to twenty women already working in Building Conservation (the response rate was over 100%) and arranging for questionnaires to be completed by school students (male and female) choosing university courses in one school (60 questionnaires sent out, with 35 returned at a response rate of 58%)

The research showed that the majority women working in Building Conservation did not agree that men heavily dominated their sector of the industry, whereas within other areas of the construction industry men make up approximately 90% of the workforce. The research found that women often perceived the Construction Industry to be 'cut-throat', 'egotistical' and 'financially beneficial', whereas they thought Building Conservation required 'patience', 'care' and 'attention to detail'.

Of the women who took part in the research, 87% were working in Building Conservation because of a personal interest , and the main aspect of that attarction was history and architecture. The study examined attitudes of school students choosing careers and the research shows that when male and female sixth form students were told what Building Conservation was about and what it involved, 43% would consider a career in it and 49% would be interested in talking part in a work experience placement working with historic buildings. The shortage of people working in Building Conservation could be reduced if more people were educated about the profession in a way relevant to their skills and interests. In order to assist this action, the study examined ways to introduce Building Conservation careers to school girls and drew on the initiatives that the university is doing to promote careers in the built environment to schoolgirls.

Key relationship-based determinants of project performance in China

The aim of this paper is to investigate the relationship-based factors that affect performance of general building projects in China. Thirteen performance metrics that may be used to measure the success level of construction projects are defined and categorized into four groups namely cost, schedule, quality and relationship performance. Fourteen risks inherent in relationships and 16 tools expected to facilitate relationship building that may affect project success are identified. Data of different projects were collected in China via a self-administered postal survey. Multiple linear regression models are developed to help explain the variance in different performance metrics. It has been found that ten risks and nine tools have either positive or negative influence on project performance to some different extents and in different project development process stages. Detailed explanations are made, especially to those variables bearing unexpected signs. It is recommended that firms in the Chinese construction industry manage the relationship-based factors that are significant in the MLR models so as to achieve project success.

Relationship-based determinants of building project performance in China

The aim of this paper is to investigate the relationship-based factors that affect performance of general building projects in China. Eight performance metrics that may be used to measure the success level of construction projects are defined and categorized into two groups namely 'hard' and 'soft' performance. Eight indicators of risks inherent in relationships and seven indicators of tools expected to facilitate relationship building that may affect project success are identified. Data of different projects were collected in China via a self-administered postal survey. By using structural equation modelling techniques, a structural model is developed to help explain the relationship among different variables. It has been found that relational risk has negative influence on project performance. It is recommended that firms in the Chinese construction industry manage the relationship-based factors that are significant in the model so as to achieve project success.

Using input-output data in life cycle inventory analysis

The impacts on the environment from human activities are of increasing concern. The need to consider the reduction in energy consumption is of particular interest, especially in the construction and operation of buildings, which accounts for between 30 and 40% of Australia's national energy consumption. Much past and more recent emphasis has been placed on methods for reducing the energy consumed in the operation of buildings. With the energy embodied in these buildings having been shown to account for an equally large proportion of a building's life cycle energy consumption, there is a need to look at ways of reducing the embodied energy of buildings and related products. Life cycle assessment (LCA) is considered to be the most appropriate tool for assessing the life cycle energy consumption of buildings and their products. The life cycle inventory analysis (LCIA) step of a LCA, where an inventory of material and energy inputs is gathered, may currently suffer from several limitations, mainly concerned with the use of incomplete and unreliable data sources and LCIA methods. These traditional methods of LCIA include process-based and input-output-based LCIA. Process-based LCIA uses process specific data, whilst input-output-based LCIA uses data produced from an analysis of the flow of goods and services between sectors of the Australian economy, also known as input-output data. With the incompleteness and unreliability of these two respective methods in mind, hybrid LCIA methods have been developed to minimise the errors associated with traditional LCIA methods, combining both process and input-output data. Hybrid LCIA methods based on process data have shown to be incomplete. Hybrid LCIA methods based on input-output data involve substituting available process data into the input-output model minimising the errors associated with process-based hybrid LCIA methods. However, until now, this LCIA method had not been tested for its level of completeness and reliability. The aim of this study was to assess the reliability and completeness of hybrid life cycle inventory analysis, as applied to the Australian construction industry. A range of case studies were selected in order to apply the input-output-based hybrid LCIA method and evaluate the subsequent results as obtained from each case study. These case studies included buildings: two commercial office buildings, two residential buildings, a recreational building; and building related products: a solar hot water system, a building integrated photovoltaic system and a washing machine. The range of building types and products selected assisted in testing the input-output-based hybrid LCIA method for its applicability across a wide range of product types. The input-output-based hybrid LCIA method was applied to each of the selected case studies in order to obtain their respective embodied energy results. These results were then evaluated with the use of a number of evaluation methods. These evaluation methods included an analysis of the difference between the process-based and input-output-based hybrid LCIA results as an evaluation of the completeness of the process-based LCIA method. The second method of evaluation used was a comparison between equivalent process and input-output values used in the input-output-based hybrid LCIA method as a measure of reliability. It was found that the results from a typical process-based LCIA and process-based hybrid LCIA have a large gap when compared to input-output-based hybrid LCIA results (up to 80%). This gap has shown that the currently available quantity of process data in Australia is insufficient. The comparison between equivalent process-based and input-output-based LCIA values showed that the input-output data does not provide a reliable representation of the equivalent process values, for material energy intensities, material inputs and whole products. Therefore, the use of input-output data to account for inadequate or missing process data is not reliable. However, as there is currently no other method for filling the gaps in traditional process-based LCIA, and as input-output data is considered to be more complete than process data, and the errors may be somewhat lower, using input-output data to fill the gaps in traditional process-based LCIA appears to be better than not using any data at all. The input-output-based hybrid LCIA method evaluated in this study has shown to be the most sophisticated and complete currently available LCIA method for assessing the environmental impacts associated with buildings and building related products. This finding is significant as the construction and operation of buildings accounts for a large proportion of national energy consumption. The use of the input-output-based hybrid LCIA method for products other than those related to the Australian construction industry may be appropriate, especially if the material inputs of the product being assessed are similar to those typically used in the construction industry. The input-output-based hybrid LCIA method has been used to correct some of the errors and limitations associated with previous LCIA methods, without the introduction of any new errors. Improvements in current input-output models are also needed, particularly to account for the inclusion of capital equipment inputs (i.e. the energy required to manufacture the machinery and other equipment used in the production of building materials, products etc.). Although further improvements in the quantity of currently available process data are also needed, this study has shown that with the current available embodied energy data for LCIA, the input-output-based hybrid LCIA appears to provide the most reliable and complete method for use in assessing the environmental impacts of the Australian construction industry.

Strategies for achieving excellence in project outcomes

The principle aim of the research is to develop a framework that provides certainty for end-users and clients to achieve, from capital works projects, an outstanding or excellent outcome while creating additional wealth for all stakeholders and suppliers. If the framework were applied to all Australian capital works projects, there would be $10bn savings each year to the total economy.

An input-output-based linkage measurement framework

This study proposed an input-output-based linkage measurement framework, which is a multi-level hierarchy, omni-direction decision-making model and takes the impact of capital into account. This framework had resolved the critical deficiencies and inherent limitations of the existing methods and was used to explore the real estate and construction linkages.

Complexity of data rich architectural environments

This research focused on developing a detailed understanding of current organisational interactions and information flows in a construction industry based field study of a refurbishment projects of a 100 year old warehouse building. From this, conclusions are then drawn regarding the application of information and communication technologies (ICT) to the industry.

Height and cost of buildings in Shanghai and Hong Kong

Initial findings indicated that the curved relationships of height-cost of residential buildings in Shanghai and Hong Kong exhibit different profiles. The differences suggest that, Hong Kong contractors have more expertise in multi-story and high-rise construction than contractors in Shanghai. The dissimilarities also imply that different sets of criteria should be applied in the judgement of height affects on cost in different locations.

Empirical applications of economic principles in producer price index analysis

The research analyses economic linkages of producer price indices of the construction industry in Australia and relationships between construction and house prices. A range of econometric techniques are applied to analyse construction and house prices. The economic equilibrium and dynamic relationships among regional markets are investigated based on producer price index analysis.