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The insurance sector provides insurance protection for complex project deals in Ghana. The study assesses the service quality of insurance of complex project deals in the construction industry of developing countries, specifically Ghana. The objectives are to identify the insurance typologies in complex project deals in the construction industry, to assess the level of construction insurance quality, and to assess the challenges faced in complex project insurance.

A comprehensive literature review was conducted to analyze the previously related works on insurance in the construction industry. The study then adopted quantitative research strategy where a structured questionnaire survey was used to collect information from construction industry professionals. The data analysis was organized in accordance with the specific objectives of the study with the aid of mean score analysis and independent sample t-test. The study again measured the reliability of the adopted scale using Cronbach's alpha, which indicated that all the items reliably measured what they were intended to measure, and thereby, statistical tools can be applied to give in-depth meanings.

The insurance typologies for complex projects were discovered by the study, as well as the available service qualities of insurance. The study again made it clear that the major challenges capable of affecting complex construction project are low quality of insurance companies' services and the gap in statutory and legal systems.

The major constraint in this study was the issue of taking only Ghana as a developing country to generalize the result. This is then to provide lessons for other developing countries.

The findings from this study will be useful to construction firms, insurance firms, and regulatory bodies by identifying the effectiveness of insurance as a risk mitigation measure in construction. The study will help the insurance firms to better position themselves to meet the demands of the construction industry. As the findings of this study are Ghana-specific, it is also to provide lessons for other developing countries.

This study delves deep into the complex construction project insurance service quality in developing countries, specifically Ghana.

In the past decades, artificial intelligence (AI)-based hybrid methods have been increasingly applied in construction risk management practices. The purpose of this paper is to review and compile the current AI methods used for cost-risk assessment in the construction management domain in order to capture complexity and risk interdependencies under high uncertainty.

This paper makes a content analysis, based on a comprehensive literature review of articles published in high-quality journals from the years 2008 to 2018. Fuzzy hybrid methods, such as fuzzy-analytical network processing, fuzzy-artificial neural network and fuzzy-simulation, have been widely used and dominated in the literature due to their ability to measure the complexity and uncertainty of the system.

The findings of this review article suggest that due to the limitation of subjective risk data and complex computation, the applications of these AI methods are limited in order to address cost overrun issues under high uncertainty. It is suggested that a hybrid approach of fuzzy logic and extended form of Bayesian belief network (BBN) can be applied in cost-risk assessment to better capture complexity-risk interdependencies under uncertainty.

This study only focuses on the subjective risk assessment methods applied in construction management to overcome cost overrun problem. Therefore, future research can be extended to interpret the input data required to deal with uncertainties, rather than relying solely on subjective judgments in risk assessment analysis.

These results may assist in the management of cost overrun while addressing complexity and uncertainty to avoid chaos in a project. In addition, project managers, experts and practitioners should address the interrelationship between key complexity and risk factors in order to plan risk impact on project cost. The proposed hybrid method of fuzzy logic and BBN can better support the management implications in recent construction risk management practice.

This study addresses the applications of AI-based methods in complex construction projects. A proposed hybrid approach could better address the complexity-risk interdependencies which increase cost uncertainty in project.

This study aims to develop an interface management risk interaction modeling and analysis methodology applicable to complex systems in high-speed rail construction projects, reveal the interaction mechanism of interface management risk and provide theoretical support for project managers to develop appropriate interface management risk response strategies.

This paper introduces the association rule mining technique to improve the complex network modeling method. Taking China as an example, based on the stakeholder perspective, the risk factors and significant accident types of interface management of high-speed rail construction projects are systematically identified, and a database is established. Then, the Apriori algorithm is used to mine and analyze the strong association rules among the factors in the database, construct the complex network, and analyze its topological characteristics to reveal the interaction mechanism of the interface management risk of high-speed rail construction projects.

The results show that the network is both scale-free and small-world, implying that construction accidents are not random events but rather the result of strong interactions between numerous interface management risks. Contractors, technical interfaces, mechanical equipment, and environmental factors are the primary direct causal factors of accidents, while owners and designers are essential indirect causal factors. The global importance of stakeholders such as owners, designers, and supervisors rises significantly after considering the indirect correlations between factors. This theoretically explains the need to consider the interactions between interface management risks.

The interaction mechanism between interface management risks is unclear, which is an essential factor influencing the decision of risk response measures. This study proposes a new methodology for analyzing interface management risk response strategies that incorporate quantitative analysis methods and considers the interaction of interface management risks.

The purpose of this study is to investigate the insurable risks that impacted the operations on complex construction projects in developing countries using Ghana as a case study.

In this study, structured questionnaires were used to collect relevant information from the top management of construction and insurance firms in Ghana, comprising 50 industry professionals. The study adopted the χ² and independent samples’ t test to interpret the responses from participants.

The study revealed the major risks that severely impacted the operations on complex construction projects, including strikes and labour disputes, long waiting time for approval of test samples, damages to property during construction, delay in payment to contractor for work done, poor construction method, pressure to deliver project on an accelerated schedule, labour shortage, permits delayed or take longer than expected, inaccurate materials estimating, change in weather pattern, low productivity of subcontractors and inadequate contractor experience.

The study is expected to contribute to increase in the awareness of the insurable risks and policies that project participants are exposed to, which will serve as a decision-making tool for contract formation.

This study assists in managing construction and insurance firms to note the major risk in managing a complex construction project. In addition to knowing the major risks identified, the study investigates the insurable risk by managing both construction and insurance firms.

Traditional “hierarchical” and “network-centric management” approaches often associated with the management of well-defined construction projects lack the adaptability to cope with uncertainty, standardised practices and the required conformance to industry standards. The purpose of this paper is to propose an integrative “holonic” methodology for the management of megaprojects in the construction industry, which incorporates both adaptability and conformance to standards, and to illustrate the associated benefits of such a methodology.

A multi-case study comprising three cases delivered in the USA and Australia, namely the Adelaide Desalination Plant (ADP), the Seattle–Tacoma International Airport, and the Olmsted Locks and Dam Replacement project were utilized to demonstrate the key features of the hierarchical, network-centric and holonic approaches to managing megaprojects.

The case studies demonstrate incorporating the holonic approach into the management of complex construction projects results in increased management effectiveness and project success. The proposed “holonic” methodology provides the potential to efficiently manage megaprojects navigating through high degrees of uncertainty.

The adoption of the holonic view by project management (PM) practitioners will help them manage megaprojects that are characterised by greater complexity. Second, the proposed methodology enables the discipline of PM to evolve in alignment with rapidly unfolding global transformation trends.

This paper demonstrates the application of the “holonic” methodology to the domain of the management of construction megaprojects. Such an approach is needed as construction projects become increasingly more complex across the world due to technological, political and social uncertainties, larger scale, changing environmental and safety regulations, and the growing involvement of human factors germane to this research.

Abnormal behaviors such as rework, backlog, changes and claims generated by project organizations are unavoidable in complex projects. When abnormal behaviors emerge, the previously normal state of interactions between organizations will be altered to some extent. However, previous studies have ignored the associations and interactions between organizations in the context of abnormal organizational behaviors (AOBs), making this challenging to cope with AOBs. As a result, the objective of this paper is to explore how to reduce AOBs in complex projects at the organizational level from a network perspective.

To overcome the inherent limitations of a single case study, this research integrated two data collection methods: questionnaire survey and expert scoring method. The questionnaire survey captured the universal data on the influence possibility of AOBs between complex project organizations and the expert scoring method got the influence probability scores of AOBs between organizations in the case. Using these data, four organizational influence network models of AOBs based on a case were developed to demonstrate how to destroy AOBs networks in complex projects using network attack theory (NAT).

First, the findings show that controlling AOBs generated by key organizations preferentially and improving the ability of key organizations can weaken AOBs network, enabling more effective coping strategies. Second, the owners, government, material suppliers and designers are identified as key organizations across all four influence networks of AOBs. Third, change and claim behaviors are more manageable from the organizational level.

Project managers can target specific organizations for intervention, weaken the AOBs network by applying NAT and achieve better project outcomes through coping strategies. Additionally, by taking a network perspective, this research provides a novel approach to comprehending the associations and interactions between organizations in the context of complex projects.

This paper proposes a new approach to investigating AOBs in complex projects by simultaneously examining rework, backlog, change and claim. Leveraging NAT as a novel tool for managing the harmful effects of influence networks, this study extends the knowledge body in the field of organizational behavior (OB) management and complex project management.

The paper aims to compare the coordination of supply chain networks in contractually different complex construction projects.

A comparative case study of the coordination of collaborative work in two successful hospital construction projects was conducted. One of the projects applied multiple dyadic contracts, whereas the other project applied one multi-party contract between the parties. The projects were located in the USA. Data were collected by observing the coordination on the construction sites for six weeks and by conducting 72 interviews.

The paper shows that depending on the contract type, the timing and extent of complementary procedural coordination differs during projects. Compared with one multi-party contract, the dyadic contracts needed to be complemented during the design phase with three additional procedural coordination mechanisms: organizational design, processes for collaborative work and integrated concurrent engineering sessions. Additionally, common rules of conduct were taken into use during the construction phase. However, regardless of the contract type, procedural coordination mechanisms, such as co-located working, collaborative decision-making in inter-organizational meetings, a liaison role and shared project goals were needed throughout the projects.

If multiple dyadic contracts are applied, procedural coordination mechanisms have to be co-created by all supply chain parties at the beginning of the project.

The paper provides an understanding on successful contractual and complementary procedural coordination mechanisms of supply chain networks in complex construction projects.

A construction project is complex and requires dynamic modelling of a range of factors that deters time performance because of uncertainty and varying operating conditions. In construction project systems, the system components are the interconnected stages, which are time-dependent. Within the project stages are the activities which are the subsystems of the system components, causing a challenge to the analysis of the complex system. The relationship of construction project time management (CTM) with the construction project time influencing factors (CTFs) and the adaptability of the time-varying system is a key part of project effectiveness. This study explores the relationship between CTM and CTF, including the potentials to add dynamical changes on every project stage.

This study proposed a dynamic Bayesian network (DBN) model to examine the relationship between CTM and CTF. The model investigates the time performance of a construction project that enhances decision-making. First, the paper establishes a model of probabilistic reasoning and directed acrylic graph (DAG). Second, the study tests the dynamic impact (IM) of CTM-CTF on the project stages over a specific time, including the adaptability of time performance during disruptive CTF events. In demonstrating the effectiveness of the model, the authors selected one-organisation-single-location road-improvement project as the case study. Next, the confirmation of the model internal validity relied on conditional probabilities and the project knowledge experts' selected from the case company.

The study produced structural dependencies of CTM and CTF with probability observations at each stage. A predictive time performance analysis of the model at different scenarios evaluates the adaptability of CTM during CTF uncertain events. The case demonstration of the model application shows that CTFs have effects on CTM strategy, creating the observations to help time performance restorations after disruptions.

Although the case company experts' panel confirms the internal validity of the results for managing time, the model used conditional probability table (CPT) and project state values from a project contract. A project-wide application then will require multi-case data and data-mining process for generating the CPTs.

The study developed a method for evaluating both quantitative and qualitative relationships between CTM and CTF, besides the knowledge to enhance CTM practice and research. In construction, the project team can use model observations to implement time performance restorations after a predictive or reactive disruption, which enhances decision-making.

The model used qualitative and qualitative data of a complex system to generate results, bounded by a range of probability distributions for CTM-CTF interconnections during time performance disruptions and restorations. The research explores the approach that can complement the mental CTM-CTF modeling of the project team. The CTM-CTF relationship model developed in this research is fundamental knowledge for future research, besides the valuable insight into CTF influence on CTM.

As a crucial soft skill, emotional intelligence (EI) is reported to have many benefits, yet it remains largely unexplored in construction project management. The purpose of this paper is to explore further application of project manager's EI to improve project performance.

A questionnaire‐based survey covering 112 project managers in construction is used to determine project managers’ EI, and relate that to the performance of their most recent projects, as well as examine the moderating effects of international involvement and contract type.

Results indicate high expressions of six EI factors in project performance of large and complex scale; whereas the effects of self‐confidence and teamwork have not been confirmed. Additionally, international involvement and contract type are found to moderate the relationships between certain EI factors and project performance.

The paper makes recommendations on selection and appointment of project managers to construction organizations; meanwhile it assists project managers in recognizing the significant competencies that cater for large and complex construction projects.

In this paper, the EI model is modified especially for project managers, to make up for the deficiency of project managers’ EI framework, as well as the project performance criteria for construction projects. Then an analysis takes place of the key EI dimensions or competencies on project performance, which contributes to the body of project managers’ EI.

The purpose of this study is to investigate how procurement strategies may be designed to facilitate exploration and exploitation in construction projects.

This paper is based on a literature review of organizational research and construction management literature together with a brief interview study of Swedish clients and contractors.

The theoretical and empirical findings propose that small and simple projects with low uncertainty and scarce resources may focus on exploitation to enhance short-term efficiency through traditional procurement strategies including delivery systems that separate the actors and their activities (i.e. pure design-build- or design-bid-build-contracts), fixed price payment and price focus in bid evaluation. Large complex projects with high uncertainty and customization benefit from combining exploration and exploitation to enhance sustainable performance. This requires collaborative procurement strategies including joint specification through early contractor involvement, cost reimbursement coupled with incentive-based payment, bid evaluation based on multiple criteria and collaborative tools and activities in partnering arrangements.

This paper contributes to organizational learning literature by pinpointing the need for integrating procurement strategies that enhance combination of exploration and exploitation. The main contribution to the construction management literature involves the investigation of how procurement strategies may affect exploration and exploitation, as identified and articulated in the propositions developed in this paper.

From a practical perspective, the findings highlight the importance of tailoring procurement strategies to project characteristics to enhance a suitable balance between exploration and exploitation in construction projects.

The explicit focus on the operational project-level is uncommon but relevant in organizational learning literature.