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Construction research comprises quality contributions to the modern methods of construction (MMC) context in terms of their benefits and relative advantages. However, the uptake of MMC is yet deemed very low in the public sector. Knowing that public clients acquire the purchasing power and the influential status to drive industry change, understanding their low MMC uptake is necessary.

A systematic review of literature has been chosen to extract the key variables contributing to the limited adoption of MMC across the public sector, reinforced by a qualitative semi-structured interview with 12 industry leaders and public clients. This methodology enables the authors to explore works from the past decade, paving a direction for an adequate empirical investigation by reviewing and critically analysing 49 academic articles and interviewing 12 industry leaders and public clients.

The study captured and argued the characteristics that have an influence on public clients' decision, inhibiting the extraction of values associated with greater MMC deployment. A critical analysis resulted in identifying 13 characteristics under 4 main themes, providing a new argument to existing knowledge by calling on the need to better understand public clients and the influence of their own characteristics on their MMC uptake.

This paper utilises the diffusion of innovation (DOI) theory which offers constructs that help explain the influence of the characteristics of a decision-making unit. The authors’ knowledge on public construction clients is limited, and more research in this direction may help in better aggregating construction demand. Overall, arguments provided in this paper enable relative improvements in supply's business models when approaching the public market. The study is believed to be in support of the relative governmental efforts to shape effective policies that can enhance innovation uptake among public bodies.

The recent failures and insolvencies of organisations related to the modern methods of construction (MMC) have gained increased attention and controversy across the UK construction sector. Such failures are linked to their inability to achieve an economy of scale and drive key clients to accept the MMC as an alternative to traditional methods. This paper aims to unravel whether a phenomenon of “innovation negativism” has manifested and is contributing to public clients' indecision towards broader MMC, whether this is only linked to past negative experiences formed after the Second World War or whether additional contributing reasons exist to influence adoption.

This study focusses on exploring the decision-making of the UK public construction sector; therefore, this paper adopts a qualitative approach, utilising interviews with 14 carefully selected MMC experts, government advisors and public clients. The phenomenological stance adopted herewith enables the authors to make better sense of the perceptions of the interviewees, leading to the conceptualisation of the innovation negativism phenomenon.

The paper identifies nine themes that may be argued to promote a profound understanding of the MMC negativism influencing public clients' decision-making. The study has found that more than just the previous negative perceptions formulated post Second World War are driving innovation negativism in the UK public sector. Notably, the emerging themes are incomprehension, lacking evidence, communication, relationship history, bad experiences, uncertainty, inadequate experimentation, the business case and localism.

This study is the first construction management research that acts as a fair departure point to conceptualise the reasoning behind innovation negativism in the construction setting. Through mirroring demand's unipolarity for traditional methods, policy and decision-makers can now rely on the conceptualised reasoning to determine practical solutions to overcome clients' indecisions towards MMC.

Reinforced autoclaved aerated concrete (RAAC) panels have been extensively used in the UK since the 1960s as structural roofs, floors and walls. The lack of a longitudinal, objective, consistent defect data capture process has led to inaccurate, invalid and incomplete RAAC data, which limits the ability to survey RAAC within buildings and monitor performance. Therefore, an accurate, complete and valid digital data capture process is needed to facilitate better RAAC performance and defect monitoring. This paper presents the development of an artificial intelligence (AI)-driven RAAC crack defect capture tool for improving the quality of RAAC survey data.

RAAC crack defect image data were collected, curated and trained. A deep learning approach was employed to train RAAC surveyed defects (cracks) images from two hospitals. This approach mitigated unavoidable occlusions/obstructions and unintended “foreign” objects and textures.

An automatic RAAC crack identification tool has been developed to be integrated into RAAC survey processes via an executable code. The executable code categorises RAAC survey images into “crack” or “non-crack” and can provide longitudinal graphical evidence of changes in the RAAC over time.

This paper identifies the role of AI in addressing the intrinsic defects data capture issues for RAAC and extends current debates on data-driven solutions for defect capture and monitoring.

Various studies have been conducted to explore the factors that are important to be considered for the effectiveness of construction contract administration (CCA) but lack in the context of graduate architects. The purpose of this study is to identify factors influencing the effectiveness of graduate architects in CCA and possible methods to enhance their work efficiency through developing the relevant skills in a changing construction environment.

This paper identified the factors that influence the effectiveness of graduate architects in CCA through the quantitative methods. General skill elements that are perceived as essential for the effectiveness of CCA had been investigated through a survey of graduate architects in the construction industry. One hundred and twenty-seven completed questionnaires returned were analyzed and tested using descriptive analysis and relative important index (RII).

The result from the study showed that the factors influencing the effectiveness of graduate architects as CCA are building construction skills, design management skills, project management skills, soft skills and dispute resolution skills.

The contribution of this study can be utilized for developing models/tools in the future that would improve the work performance of graduate architects in CCA. Educators may utilize this study to improve their syllabus to cater to the market's demand and facilitate students' entry into the labor market.