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To describe the implementation of the Performance Information Risk Management System (PIRMS) to indefinite delivery indefinite quantity (IDIQ) general contractors in the US Army Medical Command (MEDCOM) 26 sites, 150 projects/year, and $250m/year maintenance and repair construction program.

To test the hypothesis that facility owner management, control, and decision making is a source of risk, and that the transfer of risk and control to the contractors will minimise the risk.

Include minimising construction management by 33 percent, motivated contractors to regulate their own contracts, minimised unresolved issues by 50 percent, minimised contractor generated change orders by 20 percent, and moving from doing quality control to quality assurance.

The authors see no constraints in the implementation of PIRMS in other organisations. This paper reflects the perceptions of the Arizona State University research team, and publicly available test results, and not the views or policy of the USA Medical Command.

Includes the use of dominant performance/risk information from the contractor's weekly risk reports to create accurate performance and risk information on all ongoing projects, the IDIQ contractors, and on the client's/buyer's personnel. Risk information is being used to streamline a large organisation's organisational structure, minimising decision making and transactions, and transferring risk and control to the party who can minimise the technical risk.

The quality and efficiency of design and design services is declining. The authors propose that the problem is a systems delivery problem and not a technical competence issue. The purpose of this paper is to use a recently developed best value delivery methodology originally created for contractors to deliver design services. The authors have tested the process resulting in increased performance.

A deductive approach is used. Well documented, published and logical industry structure and the best value delivery model concepts are discussed. The methodology is to identify the deductive logic, and confirm it with test results. The methodology is to take a well‐proven delivery system that worked on construction, modify the existing design delivery model to match the construction model, and test the new model. Owing to the deductive nature of the methodology, the normal reliance on literature of existing practices and inductive exploratory research are not required.

Results confirm that design inefficiencies may be a systems problem. More research and testing is required to further substantiate the findings presented in this paper.

A system solution that creates a win‐win result will have a tremendous potential in the designer industry.

The purpose of this paper is to explore the delay factors in South African electrical distribution projects and demonstrate the interlaced relationship between the identified project delay factors.

This research employs interactive management (IM) methodology to construct a model achieving the research purpose. The IM methodology is anchored in the soft systems thinking. Its inquiry process mainly comprises four phases: idea generation, idea clarification, idea structuring and interpretation of the structured ideas. The IM methodology allows the relevant stakeholders to collaboratively develop a digraph displaying the interrelationship among the system elements.

The participants of the IM session structured a systemic model showing that a loop comprising three factors is the driver leading to the delays in the electrical distribution projects. The three delay factors in the loop are “poor communication”, “poor planning” and “project scheduling not properly done”.

The findings show that a loop comprising three delay factors is the driver leading to the project delays. This result is different from the outputs of the commonly used approaches. The three identified root causes serve as the starting point for eradicating delays in the electrical distribution projects.

Advancements in digital technologies have provided significant opportunities to improve the Architecture, Engineering, Construction and Owner-operated (AECO) sector’s performance through superior data management, streamlined processes and cooperative working practices. However, whilst academic literature widely espouses these benefits during the design and construction phases of development, research suggests that the operational phase of a building’s lifecycle has yet to fully realise performance improvements available through the application of digital modelling technology. The purpose of this paper is to synthesise extant digital modelling, asset management and emergent digital asset management literature, to report upon the beneficial implications of digitalised asset management and identify obstacles hampering its adoption in industry.

A componential synthesis of future work reported upon in extant literature is organised into thematic categories that indicate potential research avenues and a trajectory for digital asset management research and practice.

Themes identified include: imprecise Building Information Modelling definitions; isolated software development; data interoperability; intellectual property and virtual property rights; and skills and training requirements. Notably, increased environmental performance also arose as a theme requiring further research but received considerably less academic coverage than the other obstacles identified.

The work presents a comprehensive review of digital technologies utilised within the AECO sector and as such provides utility to researchers, policy makers and practitioners to enhance their knowledge capabilities.