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The purpose of this paper is to investigate and determine the time and cost performance of progressive design-build (PDB) projects compared with that of design-build (DB) projects. The objective is to provide empirical evidence on the performance of PDB delivery method.

A quantitative research approach was used by analyzing time and cost data collected on 75 PDB and 92 DB projects from the database of Design-Build Institute of America. One-way analysis of variance was used to determine statistical difference in time and cost performance between PDB and DB.

PDB projects have a comparatively better time performance than cost performance. When compared with DB projects, there was a statistically significant difference in time overrun with PDB performing better than DB (0.41 vs 8.0%). Additionally, about 80% of PDB projects had shorter or as scheduled duration compared to 74% for DB. There was no statistically significant difference of cost performance between PDB and DB.

The main limitation is the sample size of 72 PDB projects. It is recommended that further research should be conducted using a larger sample size to confirm the findings of this study.

PDB will be more beneficial for projects with sensitive deadlines. For an owner deciding between PDB and DB, the advantage of using PDB is in its time performance, which may lead to the project being completed on or ahead of time. As such, PDB can serve as another “tool in the toolbox” for owners to help in reducing construction delays.

This paper is the first attempt to provide an empirical evidence of the cost and time performance of PDB based on analyzing multiple projects. Owners will be better informed when selecting PDB for their projects.

Residential projects frequently suffer from low-risk management (RM) implementation and, consequently, are more likely to fail to meet performance objectives. With RM becoming an essential requirement, the purpose of this study is to investigate RM implementation in terms of status, risk analysis techniques, barriers and impact of RM on residential projects across the USA.

Data were collected from 105 general contractors who had completed 3,265 residential projects in the past five years. Data collection was through a US national survey sent out through emails between August and November 2019 to residential general contractor firms. The firms were randomly selected from national organizations, such as the National Association of Home Builders, Associated General Contractors of America and Associated Builders and Contractors.

The analysis indicated that RM implementation is still extremely low at 22.27%. However, there was an increase in RM implementation as the cost and duration of projects increased. Direct judgment is the most used technique. Also, the one-sample t-test indicated that the barriers have a significant impact on RM implementation. Multinomial logistic regression results indicated that the impact of lack of management support, lack of money or budget, the complexity of analytical tools and lack of time to perform analysis predict the impact on the overall performance of construction projects. Overall, the results provide empirical evidence, which can influence management’s decision-making regarding RM and improve implementation in residential projects.

There is a lack of empirical evidence on the impact of barriers to RM implementation on the performance of construction projects. This research contributes to the body of knowledge by bridging this gap through a robust analysis of data collected from real residential projects.

In the past decade, radio frequency identification devices (RFIDs) have attracted the attention of the construction industry, having been proven to be an effective technology for addressing operational challenges in other industries such as health-care, retail and manufacturing. Despite the benefits, the use of RFID in construction industry is limited even in the face of inefficiencies that exist and that the need for improvement is yet to drive the widespread adoption in the residential/commercial construction industry. The purpose of this study is to investigate key drivers and critical success factors for RFID adoption.

The study included extensive and systematic literature review, interviews and questionnaire survey.

The study revealed that the most important key driver for RFID adoption is productivity improvement, while the most important critical success factors include management support and commitment, having clear RFID strategy, needs and benefits, having strong motivation for improvement, providing adequate funding and proper planning.

This study provides an exploratory framework that can be used by construction company executives and managers to provide justification for deciding to implement RFID on their projects and to enhance success rates of implementation.

This study contributes to the knowledge on RFID use in residential/commercial construction industry and provides a basis for further investigation by construction management researchers on the emerging issues regarding RFID use in the construction industry.

Civil utility projects, both open-trench and trenchless, are subject to risk. These risks have both direct and indirect effect on project cost, schedule, quality and safety. It is therefore critical for the project management team to include risk management as an integral part of their project planning and execution. The purpose of this study is to identify the pipe-bursting construction risks and determine their probability of occurrence and cost impact and provide the appropriate responses to mitigate the identified risks.

This is an exploratory design using an industry-wide questionnaire survey to collect data on the probability of occurrence and impact of risks on cost of pipe-bursting projects. A probability-impact model was used to categorize the risks to determine their criticality and the appropriate risk responses.

The model revealed that majority of the analyzed risks have low impact-low probability of occurrence and high impact-low probability of occurrence. Undocumented repairs to host pipe was the only risk identified as having high probability of occurrence and high impact on cost. The risk responses suggest a combination of risk transfer, reduction and acceptance to be appropriately applied to mitigate the risks. A discussion on the good practices indicates that most pipe-bursting operations can be done safely and successfully if site and project conditions are known before bursting and the appropriate measures are taken to address those conditions.

Although the identified risks may apply to other utility construction methods, the focus of this research is limited to risks that occur during the construction phase of a pipe-bursting construction project.

Risk management is very critical to the success of any construction project. Identification and assessment of risks alone will not serve the purpose of risk management unless meaningful ways to mitigate those risks in a structured way are planned. The probability-impact model for the pipe-bursting construction risks with the mitigation strategies will help owners, engineers and contractors plan for and adequately respond to these risks. Additionally, a logical assessment of the risks will aid in effective decision-making regarding the management of the project.

Extensive literature review indicates that there is no existing literature on the probability of occurrence and impact on cost of risks in pipe-bursting projects. This paper presents the results of a wide-ranging analysis on construction risks in pipe-bursting projects. This is the first analysis incorporating the use of the probability-impact model to determine the criticality of various pipe-bursting construction risks.

The purpose of this study is threefold. First, to provide a taxonomy of innovations in the housing sector. Second, to create a coherent framework that includes the mechanisms that stimulate and hinder the adoption of innovation in the housing sector. Third, to develop propositions for future innovation adoption research.

A search in Clarivate Analytics’ Web of Science, Elsevier’ Scopus and the ARCOM database, followed by ‘snowballing’ as a backward search technique, revealed 94 scientific studies about innovation adoption in the housing sector. These studies were used to conduct a systematic narrative literature review about innovation adoption in the housing sector.

This study presents the state of knowledge about the adoption of innovation in the housing sector. Based on the unit of analysis by the studies included in our review, we present a taxonomy of housing innovation and we conclude that, typical for low-tech industries, no radical, discontinuous innovations were reported in the field of housing. Based on the data set of this review, a coherent framework has been developed, which includes four categories of determinants and underlying variables. Subsequently, 21 propositions have been deduced, which reflect the key mechanisms affecting the adoption of innovation in housing.

This paper is the first in which the various innovation adoption mechanisms for housing projects are integrated in a coherent innovation adoption framework. This framework not only provides an explanatory overview about innovation adoption in the housing sector but also provides insight to managers how to increase the chances to get their innovations adopted in the housing sector.

The UN statistics show that the world’s population is expected to be nine billion by the 2050. As a result, the food production must also be raised to 70 per cent or more. Vertical farming (VF) is an innovative and alternative approach to meet the challenges; however, its management will also be a challenge. This paper, therefore, shares the understanding of future food challenges and Building Information Modelling (BIM) and its application to manage the facility.

A conceptual digital prototype of a VF is developed in a BIM environment using design science. First, the data are collected from literature review and then analysed and simulated for optimum conditions in a BIM-enabled digital prototype.

The results showed that BIM to manage a VF has not been researched or explored yet. However, BIM has proven its numerous benefits to the architecture, engineering and construction and facility management industries, and it is a powerful solution to design and manage VF to solve future food production problems.

There is a very limited research on VF in the literature, and BIM for VF is also not discussed or researched yet. The originality and value of this research stems from both expanding BIM horizons and designing and managing VF.