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Being able to predict the likelihood of a project to overrun its cost before the contract signing phase is crucial in developing the required mitigating measures to avert it. Known parameters that permit the timely prediction of cost overrun provide the basis for such predictions. Therefore, the purpose of this paper is to develop a model for forecasting cost overruns.

Ten predictive variables known before the contract signing phase of a project are identified. Based on a survey approach, information on 321 educational projects completed are compiled. A multiple linear regression analysis is adopted for the model development.

Five variables – initial contract sum, gross floor area, number of storeys, source of funds and contractors’ financial classification are observed to influence cost overruns. The model, however, yields a fairly weak coefficient of determination with a mean absolute percentage error of 30.22 and 138 per cent, respectively.

The model developed focussed on data only educational projects sampled from three out of the ten administration regions in Ghana based on a purposive sampling approach.

Policy makers and construction managers working on public projects stand to gain tremendous assistance in formulating and strengthening their own in-house cost forecasting at the precontract phase based on “what if” analysis to generate various alternative predictions of cost overruns.

Considering the innate nature of cost overruns within the Ghanaian construction industry often resulting to project abandonment, this research presents a unique dimension for tackling cost overruns based on a predictive approach.

Delayed payments have been long standing, pressing issue in construction projects, especially in Government-funded construction projects. The root causes and the consequences of delayed payments must be identified before implementing strategies to mitigate the consequences of such delayed payments. However, these causes and consequences and the parties responsible for managing the delayed payments have not been identified so far. Therefore, the purpose of this study is to investigate the management of payment delays in Government-funded construction projects.

The study used a mixed approach comprising four case studies and a questionnaire survey. The empirical data collected from the case studies and the questionnaire survey were analysed using manual content analysis and mean rating, respectively.

The study identified the most significant causes and the most significant consequences of delayed payments that occur in Government-funded construction projects. It also revealed the strategies that clients, consultants, contractors and other parties can adopt to mitigate the adverse consequences of such delayed payments.

This study identified the most significant causes of delayed payments in Government-funded construction projects, the most significant consequences of such delayed payments and the most suitable strategies the clients, consultants and contractors can adopt to mitigate the consequences of such delayed payments. Thus, this study supports streamlining the management of payment delays in Government construction projects and identifies the roles that different parties must play in managing payment delays in Government building projects, which is an under-researched area.

The purpose of this paper is to investigate the factors that cause government construction projects failure in a developing economy.

The study used the sequential data collection approach through an in-depth semi-structured interview (16 participants) and questionnaire survey (230 participants) to solicit their perceptions from project management practitioners (PMP), contractors and client (government officials) about the factors that lead to Ghanaian Government construction projects. The relative importance index was used to determine the relative importance of the factors identified. This was followed by Spearman rank correlation coefficient and Kendall’s coefficient of concordance to measure the degree of agreement among the participants on their perceptions.

In total, 34 factors were identified as the main factors that lead into Ghanaian Government construction projects failure. The top ten most important factors that cause Ghanaian Government construction projects failure are: political interferences, delays in payment, partisan politics, bureaucracy, corruption, poor supervision, lack of commitment by project leaders, poor planning, starting more projects than the government can fund and change in government. The failure factors were grouped into four main themes and found that the most important failure factors are leadership. This is followed by management and administrative practices, resources and external forces, respectively.

This study is limited to only the public sector, and therefore the findings may not be applicable in the private sector.

Policy makers and construction PMP would be able to use the findings as a guide during the implementation of government projects in order to reduce and/or avoid government construction projects failure.

Construction projects failure in developing countries is high. Accordingly, the extant literature has been devoted to identifying the factors that lead to failure; however, they have mainly been discussed from a generic point of view or individual case studies. Researches that focus exclusively on government construction projects in developing countries are rare despite the dynamics in which these projects are implemented. This research extends the construction project management literature by focussing on government construction projects in a developing economy, where there are weak public institutional systems coupled with partisanship politics and bad cultural orientation towards government sector work inherited from a colonial rule.

Analysis of Information Options offers new tools for evaluating investments in research, mineral exploration, logistics, energy transmission, and other information operations. With Information Options, the underlying assets are information assets and the rules governing exercise are based on the realities of the information realm (infosphere). Information Options can be modeled as options to “purchase” information assets by paying the cost of the information operations involved. Information Options arise at several stages of value creation. The initial stage involves observation of physical phenomena with accompanying data capture. The next refinement is to organize the data into structured databases. Then bits of information are selected from storage and synthesized into an information product (such as a management report). Next, the information product is presented to the user via an efficient interface that does not require the user to be a field expert. Information Options are similar in concept to real options but substantially different in their details, since real options have physical objects as the underlying assets and the rules governing exercise are based on the realities of the physical world. Also, while exercising a financial option typically kills the option, Information Options may include multiple exercises. Information Options may involve high volatility or jump processes as well, further enhancing their value. This chapter extends several important real option applications into the information realm, including jump process models and models for valuing options to synthesize any of n information items into any of m output assets.

Project delay is becoming a problem in the Sultanate of Oman as evidenced by many delayed projects across the country. The purpose of this study is to examine causes and effects of delays in megaprojects in the Sultanate of Oman with recommendations to mitigate same.

A systematic review of literature identifies through main stakeholders the numerous causes, impacts and methods of mitigating delay from previous studies. A questionnaire survey on Oman was carried out to sample opinions from the practitioners; 53 questionnaires were received and analysed using the relative importance index (RII) method.

The five most frequent causes of delay in the Sultanate of Oman, in rank order, are: selection of the lowest bid, instead of best bid for the client (RII: 0.698); the financial condition of the main contractor (RII: 0.664); delay in decision-making by the client (RII: 0.656); and poor construction planning by the main contractor (RII: 0.649). Also, the findings indicate that extra cost (RII: 0.754) and project time overrun (RII: 0.724) are the most significant effects of the delay in the Oman megaprojects. The use of experienced contractors and consultant (RII 0.675), efficient construction planning by the main contractor and effective site management and supervision (RII: 0.667) are essential mitigation methods of construction delay in Oman megaprojects.

The study recommends three-part novel solutions to mitigate delay in the Oman construction industry.

Abandonment poses a range of effects detrimental to the development of a country such as Nigeria. Restoring such infrastructure in a sustainable manner is a challenge identified in the literature. The aim of this study is to evaluate a novel approach – the technique for order preference by similarity to an ideal solution (TOPSIS) to identify the sustainability criteria for the redevelopment of abandoned infrastructure in Nigeria. The literature evidences use of TOPSIS in various development contexts, but not in the context of redevelopment of abandoned infrastructure.

This study explores the potential of TOPSIS in the sustainable redevelopment of abandoned infrastructure in Nigeria through a combination of a quantitative method of data collection – questionnaire – and a case study. The case study focuses on the abandoned Federal Government Secretariat in Lagos. One hundred and sixty-one (161) participants responded to the questionnaire. Data collected were analyzed using TOPSIS analytical technique.

Refurbishment is considered as the most sustainable alternative for the redevelopment of abandoned infrastructure. For criteria consideration, structural integrity and foundation categorized under the technological attributes ranked highest for refurbishment and conversion alternatives. Waste generation and prevention and profitability top the list for demolition and procurement respectively.

The social benefit of this study is to bring building considered to be an eyesore back into use.

The findings from the analysis orchestrates the importance of the built environment research concentrating on innovative frameworks for sustainable redevelopment of abandoned structures in the construction industry.

This paper aims to explore the relationship between delay factors and construction project performance with respect to project risk mitigation strategies as moderators.

Random sampling was used to select the sample of the study. Data were gathered through a survey of 204 Malaysian construction companies. The data were analysed using the partial least squares technique.

The results indicate that environmental, resource and coordination issues negatively affect construction project performance. Project visibility and flexibility can mitigate the negative effects of both resource and coordination issues on project performance. Furthermore, supplier development can mitigate the negative effects of coordination issues.

The findings of the study will be useful for construction firms to complete construction projects timely, within a scheduled budget and with only minor defects if adopted.

This study is among the first to empirically test the moderating role of risk mitigation strategies on the relationship between delay factors and project performance in the construction industry.

How do organizations respond to negative feedback regarding their innovation activities? In this chapter, the authors reconcile contradictory predictions stemming from behavioral learning and from the escalation of commitment (EoC) perspectives regarding persistence under negative performance feedback. The authors core argument suggests that the seemingly contradictory psychological processes indicated by these two perspectives occur simultaneously in decision makers but that the design of organizational roles and reward systems affects their prevalence in decision-making tasks. Specifically, the authors argue that for decision makers responsible for an individual project, responses given to negative performance feedback regarding a project are dominated by self-justification and loss-avoidance mechanisms predicted by the EoC literature, while for decision makers responsible for a portfolio of projects, responses to negative performance regarding a project are dominated by an under-sampling of poorly performing alternatives that behavioral learning theory predicts. In addition to assigning decision-making authority to different organizational roles, organizational designers shape the strength of these mechanisms through the design of reward systems and specifically by setting more or less ambiguous goals, aspiration levels, time horizons of incentives provided, and levels of failure tolerance.

The purpose of this study is to investigate the factors that impede innovation in Colombian manufacturing firms, as measured by the level of technological intensity.

The authors used data from 1,850 firms to determine the barriers associated with information and internal capabilities, risks and environment.

The main results of this study confirm that potentially innovative firms of low technological intensity are more likely to ascribe high importance to obstacles associated with information and internal capabilities, when compared with innovative firms. The abandonment of innovative projects, family-operated enterprises and investment in R&D are all related to an increased perception of obstacles to innovation, while investments in information and communication technologies have an opposite effect. Variables as partnerships and export behaviour, have different effects depending on the level of technological intensity.

This study investigates the obstacles to innovation of a firm as determined by its characteristics and as measured against its level of technological intensity. Previous studies have investigated barriers to innovation in technologically advanced sectors (Lachman and López, 2019) and technology-based SMEs (De Moraes Silva et al. 2020) or how the technological intensity of the firm determines access to university knowledge for overcoming barriers (Kanama and Nishikawa, 2017). The only study to analyse barriers to innovation by measuring a firm’s technological intensity was conducted into Mexican manufacturing and services sector companies by Santiago et al. (2017).

Construction project stakeholders can have a major effect on delivering projects on time. However, little attempt has been made to address the influence of internal stakeholders on delaying project delivery. This research aims to propose the internal stakeholders' influence as a solution to improving project delivery performance (PDP) in order to boost the value of investment in the construction industry's projects.

In Yemen, a structured questionnaire was distributed to owners, consultants and contractors, 283 of which were found usable after the data screening. A purposeful sampling technique was used and structural equation modelling (SEM) was adopted for analysis. The structural model was drawn up, based on seven categories of influencing factors: labour, supplier, designer, contractor, consultant, sub-contractor and owner.

The results of the structural model suggest that of these seven categories, designers, owners, suppliers and subcontractors have a significant p-value and impact on PDP, while the labour and consultant's impact was not substantiated. The findings support the proposal that internal stakeholders' influence contributes directly to construction PDP.

The influence of stakeholders on PDP is important. Nonetheless, few studies have focussed on their effectiveness, especially in developing countries. This paper's contribution is evaluating the cause–effect relationship between stakeholders' influence and construction PDP through analysis of moment structures (AMOS) analysis. The policy implications of the research are to encourage governments in general and construction companies in particular to take responsibility for improving PDP, as slow execution of construction projects leads to increased costs, failure and abandoning projects.