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Purpose: This paper critically reviews economic impact assessment methods adopted in construction-related projects, to develop and present a novel bottom-up approach suitable to estimate regional economic impacts of building maintenance projects. Design/methodology/approach: A thorough literature review of economic impact assessment in construction projects is carried out to identify the most relevant approach to estimate wider economic impacts of building maintenance projects. Based on these findings, a model based on the bottom-up approach to estimate wider economic impacts is developed. The applicability and face validity of the developed model is demonstrated through a case of cladding replacement program in Australia. Findings: The literature review revealed that bottom-up models are better suited for estimating regional economic impacts of maintenance projects, given the challenges of obtaining micro-level economic data in the maintenance sector. In relation to the total economic impacts (direct and indirect), the results show that for every $1 of government spending on similar projects the Gross State Product would increase by $1.34. In terms of employment impact, over 70% of the direct economic value addition is driven by the increase in labour, where close to 3 FTE jobs will be required for each $1 million of spending on cladding replacement projects. Originality/value: This paper presents a model to estimate the wider economic impacts of building maintenance projects, which is typically overlooked in the construction management field. The proposed model is developed to incorporate the variability of different building maintenance projects so that the economic impact resulting from these projects could be estimated more accurately. This model can be used by local government decision-makers to justify and prioritise maintenance projects in a similar manner to new construction projects. [ABSTRACT FROM AUTHOR]

Purpose: Current understandings of innovation in construction portray it as linear, deterministic phenomena centered around novel objects and technologies deployed in sequentially-organized supply chains. This study aims to develop an enriched understanding of construction innovation as non-linear, socio-material and dynamic phenomena in complex networks by formulating a novel conceptual apparatus of complex adaptive supply networks (CASNs) expanded through actor-network theory (ANT) concepts. Design/methodology/approach: This combined CASN/ANT apparatus is mobilized in the context of a qualitative case study involving a housing construction supply network in Australia making use of offsite manufacturing (OSM) techniques. Findings: The study shows that innovative technologies such as novel OSM products can play an important though not necessarily deterministic role in the evolution of CASNs. The study also explicates the process by which the enrollment of non-human agents and the resulting CASN evolution are linked: innovative technologies shape human and non-human interactions in ways that redefine task delegation, role definition and schemas that are fundamental to the shape of CASNs. Originality/value: Findings provide a compelling empirical basis for arguing that CASNs must be conceptualized as heterogeneous systems and that innovation in construction must be understood as non-linear, socio-material and dynamic, rather than linear and driven by technological determinism. The study also interrogates limiting notions of supply chains and supports the notion of alternative inter-organizational forms to understand construction project work. [ABSTRACT FROM AUTHOR]

Purpose: In an attempt to create national harmonisation of legislation, a set of model Work Health and Safety (WHS) Regulations were developed in Australia. These regulations require principal contractors to undertake specific WHS planning and coordination activities if the construction works to be completed cost AU $250,000 or more. However, there are some doubts about the usefulness of this monetary threshold. This study aimed to investigate how effective this threshold can be in Australia. Design/methodology/approach: To evaluate the performance and operation of this threshold in the Australian construction industry, this study modelled the costs of construction for four construction project scenarios – small classroom, two-storey home renovation with adjacent pool, small commercial warehouse and single-storey house (volume home builder) – under various conditions based on historical data (2011–2017) and in eight Australian jurisdictions. Findings: Among the six study factors (i.e. the types for construction, geographical location, design specification, delivery method, contracting approach and inflation), the research found considerable variation in the operation and performance of the monetary threshold. Originality/value: The research highlights some potential challenges associated with the use of a monetary threshold in the regulation of WHS planning in construction projects. Thus, the results are expected to contribute to addressing these challenges, leading to the development of an appropriate balance to achieve efficient and effective WHS regulation in Australia. [ABSTRACT FROM AUTHOR]

Purpose – The purpose of this paper is to examine the use of bid information, including both price and non-price factors in predicting the bidder's performance. Design/methodology/approach – The practice of the industry was first reviewed. Data on bid evaluation and performance records of the successful bids were then obtained from the Hong Kong Housing Department, the largest housing provider in Hong Kong. This was followed by the development of a radial basis function (RBF) neural network based performance prediction model. Findings – It is found that public clients are more conscientious and include non-price factors in their bid evaluation equations. With the input variables used the information is available at the time of the bid and the output variable is the project performance score recorded during work in progress achieved by the successful bidder. It was found that past project performance score is the most sensitive input variable in predicting future performance. Research limitations/implications – The paper shows the inadequacy of using price alone for bid award criterion. The need for a systemic performance evaluation is also highlighted, as this information is highly instrumental for subsequent bid evaluations. The caveat for this study is that the prediction model was developed based on data obtained from one single source. Originality/value – The value of the paper is in the use of an RBF neural network as the prediction tool because it can model non-linear function. This capability avoids tedious "trial and error" in deciding the number of hidden layers to be used in the network model. [ABSTRACT FROM AUTHOR]