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Following the increasing need for faster construction, improved quality and evidence value propositions, offsite construction is increasingly being proffered as a viable contender to “traditional” construction approaches. However, whilst evidence supports the move towards offsite, its uptake has been lower than expected. Whilst the precise reasons for this seem to be influenced by a number of issues, including contextual drivers and market maturity; some project stakeholders also view offsite as carrying greater risks. The purpose of this paper is to report on the quality of information flow, in particular, the impact and influence of this on design risks in offsite construction projects.

An existing design risk framework is used as the point of departure for this research. This is further expanded into a specific model for evaluating offsite construction projects design risks, the rubrics of which were informed by two case studies of offsite construction projects in Australia and the UK analysed with a process-tracing technique. Whilst these cases were geographically separated, the constructs were aligned to uncover fundamental design information requirements and concomitant risks associated with offsite.

The findings of the research reported in this paper include the crucial information feeding into the design process emanating from the lifecycle of offsite construction projects, namely, design, offsite (manufacturing), handling and transporting, site works and installation and also occupancy. These are contextualised within the four categories, namely, client requirements, project requirements, regulation aspects and social aspects and the final outcomes were summarised into a holistic diagram.

Given that the offsite construction has shifted the working paradigm into assigning a significant level of efforts and emphasis at the front end of the construction projects, the importance of its design process and hence design risks management has gone up significantly in construction projects delivered using this technique. This research and paper contributes significantly to the built environment domain by identifying the crucial aspects along the project lifecycle to be considered to minimise the potential occurrence of design risks and hence increasing the confidence of project stakeholders in adopting offsite construction techniques in their projects.

Offsite construction approaches and methodologies have been proffered a potential solution for controlling “traditional” projects, especially where high levels of complexity and uncertainty exist. Given this, locations such as Western Australia (WA), where there are unique housing provision challenges, offsite construction method was considered a potential solution for not only addressing the complexity/uncertainty challenges but also alleviating the housing shortage. However, whilst acknowledging the benefits of offsite construction, recognition was also noted on perceived barriers to its implementation, primarily relating to cost uncertainty. This recognition is exacerbated by very limited offsite construction cost data and information available in the public domain. In response to this, this paper sims to provide detailed cost analysis of three offsite construction projects in WA.

To hold parameters constant and facilitate cross-case comparative analysis, data were collected from three embedded case studies from three residential housing projects in WA. These projects represent the most contemporary implementation of offsite in WA; where two were completed in 2016/2017 and the third project was still ongoing during the data collection of this research. The research methodological approach and accompanying data analysis component engaged a variety of techniques, which was supported by archival study of project data and evidence gathered from the offsite construction provider.

Core findings revealed three emerging themes from residential offsite construction projects pertinent to cost. Specifically, the overall cost of delivering residential housing project with offsite construction techniques, the cost variability of offsite construction residential housing projects as impacted by uncertainties and the cash flow of residential offsite construction projects based on the payment term. These three major cost drivers are elucidated in this paper.

This research presents new cost insights to complement the wider adoption of offsite construction techniques. It presents additional information to address the limited cost data and information of offsite construction projects available in the public domain particularly for residential housing projects (within the bounded context of WA). It also highlights the further stages needed to enhance data validity, cognisant of universal generalisability and repeatability, market maturity and stakeholder supply chains.

This paper aims to present an off-site construction (OSC) readiness maturity model for assessing the readiness of offsite construction companies in the Indian construction sector.

The research was conducted in three stages. The first stage consisted of a detailed literature review to document 17 different variables affecting the OSC adoption in India. In Stage 2, 15 semi-structured interviews were carried out where the participants were asked to refine those variables for the Indian context and define what would be different levels of attainment. In the third stage, another set of 5 semi-structure interviews was performed to validate the maturity levels and definitions.

A three-level OSC readiness maturity model is presented for discussion. This describes 17 variables at different levels of maturity.

The proposed OSC readiness maturity model guides construction practitioners in India through a structured process to enable them to assess their OSC readiness in the market. This assessment enables them to evaluate and benchmark their processes through the strategic and operational phases. The maturity model also identifies the areas of concern and the scope for further development or change to secure the optimal advantage of OSC methods.

The research produced a model to assess the readiness of OSC adoption in the Indian construction sector. Although the model has been applied to the Indian construction sector, it can easily be modified to accommodate other OSM contexts.

The integration and automation of the whole design and implementation process have become a pivotal factor in construction projects. Problems of process integration, particularly at the conceptual design stage, often manifest through a number of significant areas, from design representation, cognition and translation to process fragmentation and loss of design integrity. Whilst building information modelling (BIM) applications can be used to support design automation, particularly through the modelling, amendment and management stages, they do not explicitly provide whole design integration. This is a significant challenge. However, advances in generative design now offer significant potential for enhancing the design experience to mitigate this challenge.

The approach outlined in this paper specifically addresses BIM deficiencies at the conceptual design stage, where the core drivers and indicators of BIM and generative design are identified and mapped into a generative BIM (G-BIM) framework and subsequently embedded into a G-BIM prototype. This actively engages generative design methods into a single dynamic BIM environment to support the early conceptual design process. The developed prototype followed the CIFE “horseshoe” methodology of aligning theoretical research with scientific methods to procure architecture, construction and engineering (AEC)-based solutions. This G-BIM prototype was also tested and validated through a focus group workshop engaging five AEC domain experts.

The G-BIM prototype presents a valuable set of rubrics to support the conceptual design stage using generative design. It benefits from the advanced features of BIM tools in relation to illustration and collaboration (coupled with BIM's parametric change management features).

This prototype has been evaluated through multiple projects and scenarios. However, additional test data is needed to further improve system veracity using conventional and non-standard real-life design settings (and contexts). This will be reported in later works.

Originality and value rest with addressing the shortcomings of previous research on automation during the design process. It also addresses novel computational issues relating to the implementation of generative design systems, where, for example, instead of engaging static and formal description of the domain concepts, G-BIM actively enhances the applicability of BIM during the early design stages to generate optimised (and more purposeful) design solutions.

This paper presents a bespoke model for understanding off-site construction (OSC) readiness among Indian construction organisations. This model presents 17 variables for discussion, the results from which help support OSC strategic decision-making.

Factor analysis was used to investigate the relationship between variables to group them into factors. After identifying 26 different variables, these were reduced to 17 using factor analysis and categorised into four groups. Descriptive statistical analysis and factor analysis using SPSS was used to develop a hierarchy of factors that affect OSC readiness in India. These findings were reinforced by five domain experts to support the results.

Minimising on-site duration, ensuring cost and time certainty and transportation issues were identified as the three most important factors, whereas lack of guidance and scepticism were among the lowest factors affecting the Indian OSC sector.

This research is specifically focused on OSC within the Indian construction sector. As such, data collection, propagation and analysis should be constrained to the population context regarding inference, generalisability and repeatability.

The proffered OSC readiness model offers OSC practitioners an ability to assess the OSC readiness of construction organisations in India. This includes the evaluation and benchmarking of processes in both strategic and operational phases, including highlighting areas of concern and scope for further development (to achieve optimal advantage of OSC methods).

Originality rests with the use of factor analysis and descriptive statistical analysis to study the influence of different construction-related factors and variables on the OSC sector in India. This impact readiness model is context-specific to the Indian OSC sector – providing a unique insight into the causal factors and dependencies that can affect the adoption and uptake of modern methods of construction in India.

This paper aims to consider an “-ological” (ontological, epistemological and methodological) triad in the context of construction management (CM) research, and to explore the triad in terms of ontological/epistemological viewpoints, paradigmatic approaches to CM research and, ultimately, CM methodological decisions.

Derivation of critical narrative and graphical models using literature synthesis combined with experiential, methodological views of the authors.

Conceptions of ontology, epistemology and methodology (the “ological-triad”) demonstrate high variability – resultantly, their use in CM research is equally inconsistent, sometimes questionable and, in the extreme, sometimes overlooked. Accordingly, this study concludes that greater recognition of the “ological-triad” is called for in CM research, especially at the design stage. A framework for doing this is proffered.

Combined study of the “ologies” within CM research uniquely consolidates previous disparate knowledge into a single, cogent, subject-specific discourse that, inter-alia, both informs and illuminates CM research challenges. It also encourages critical debate on the issues highlighted.

Circular economy (CE) and offsite construction (OSC) are two innovations for improving the construction industry's overall performance against a myriad of sustainability-driven agenda/initiatives. There is a real opportunity to conjoin OSC and CE to provide new insight and opportunities to deliver more evidence-based sustainable systems. This study analyses extant literature in CE and OSC (between 2000 and 2021) through a bibliometric review to tease out critical measures for their integration and transformation.

This study adopts a science mapping quantitative literature review approach employing bibliometric and visualisation techniques to systematically investigate data. The Web of Science (WoS) database was used to collect data, and the VOSviewer software to analyse the data collected to determine strengths, weights, clusters and research trends in OSC and CE.

Important findings emerging from the study include extensive focus on sustainability, waste, life cycle assessment and building information modelling (BIM), which currently serve as strong interlinks to integrate OSC and CE. Circular business models, deconstruction and supply chain management are emerging areas, with strong links for integrating CE and OSC. These emerging areas influence organisational and operational decisions towards sustainable value creation, hence requiring more future empirical investigations.

This study is a novel research using bibliometric analysis to unpick underpinning conduits for integrating CE and OSC, providing a blueprint for circular OSC future research and practice. It provides the needed awareness to develop viable strategies for integrating CE in OSC, creating opportunities to transition to more sustainable systems in the construction sector.

This paper presents and describes an outcome-oriented dissertation study model called “PROD²UCT”, designed explicitly for students engaged in construction engineering and related subjects research.

The model is grounded in theory, underpinned by extant literature and reinforced with professional domain expertise.

PROD²UCT identifies seven key stages in outcome-oriented dissertation study: pick, recognise, organise, document and draft, undertake, consolidate and tell. These are described along with practical considerations for their effective implementation.

The model’s primary influences stem from “best practice”, experiential knowledge, pedagogical ideals and academic views/values. Given this, it is acknowledged that “representation” and “inference” are typically governed by “subjectivity” (which naturally differs from person-to-person).

Originality is threefold: PROD²UCT encourages students to consider the “end” before the “beginning”; it serves as a road-map offering guidance at seven key chronological stages; finally, it is specifically designed to be outcome-oriented. The latter requires intended dissertation outcomes to align with evidence, research design decisions and implementation methods.

The paper aims to investigate the employee–stakeholder engagement on business performance. A psychosocial approach was used to evaluate employees’ perception and role engagement on organisational performance, cognisant of: strategy development; leadership; fiscal acuity; employees’ skills, empowerment; supply chain relationships; external stakeholders and wider societal beneficiaries.

This research is context-bound to the Turkish construction industry. Findings generated from literature established a set of evidenced-based priorities for further investigation. A case study approach was conducted with three large architecture, engineering and construction (AEC) organisations to define psychosocial diffusion indicators and priorities for future uptake.

Initial findings on psychosocial diffusion indicators and their impact on business performance are presented through a psychosocial diffusion model. Three interconnected facets are proffered for future uptake: capability (responsiveness), capability (flexibility) and capability (competence).

Findings are exclusively bound to the sample frame in question. No attempt has been made to undertake detailed cross-analysis/correlation to support internal/external consistency, validity or reliability.

Organisations are able to reflect on their core business strategy to appreciate how psychosocial diffusion can be operationalised.

This work impinges on social factors embedded within (and across) organisational boundaries, including the AEC supply chain. It also relates to employer/employee relationships, psychological functioning and employee well-being.

Originality rests with the identification of construction-related psychosocial indicators. It contributes to the wider body of knowledge on embedding psychosocial indicators into organisational systems and processes, adding further insight into systems thinking and business transformation.