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In the UK healthcare sector, funding and provision of public care facilities has been primarily the responsibility of government through the National Health Service (NHS). After decades of under-investment and consequent effects on the quality of care, new procurement routes are currently being used to improve the standards of facilities to meet the requirements of modern care services. This paper critically reviews these new procurement routes in terms of concepts and suitable areas of application, and examines how the principal procurement methods have evolved into the forms used for UK healthcare facilities. The paper outlines recommendations for further research in assessing the suitability or otherwise of these new procurement methods, both for construction projects generally and specifically for healthcare facilities.

This study aims to develop a model which incorporates the impact of both aleatory and epistemic uncertainties into construction duration predictions, in a manner that is consistent with the nature/quality of information available about various factors which bring about uncertainties.

Data relating to 178 completed Tertiary Education Trust Fund (TETfund) building construction projects were obtained from construction firms via questionnaire survey. Using 90% of the data, the model was developed in the form of a hybrid-based algorithm implemented through a suitable user-friendly graphical user interface (GUI) using MATLAB programming language. Bayesian model averaging, Monte Carlo simulation and fuzzy logic were the statistical methods used for the algorithm development, prior to its GUI implementation in MATLAB. Using the remaining 10% data, the model's predictive accuracy was assessed via the independent samples t-test and the mean absolute percentage error (MAPE).

The developed model's predictions were found not statistically different from those of actual duration estimates in the 10% test data, with a MAPE of just 2%. This suggests that the model's ability to incorporate both aleatory and epistemic uncertainties improves accuracy of duration predictions made using it.

The model was developed using a particular type of building projects (TETfund building construction projects), and so its use is limited to projects with characteristics similar to those used for its development.

The developed model's predictions are expected to serve as a useful basis for consultancy firms and contractor organisations to make more realistic schedules and benchmark measures of construction period, thereby facilitating effective planning and successful execution of construction projects.

The study presented a model which permits combined manipulation of aleatory and epistemic uncertainties, hence ensuring a more realistic incorporation of uncertainty into construction duration predictions.

Public procurement capacity is composed of three facets: individual, organisational and an enabling national environment which encapsulates national legislation, policies and institutional arrangements that can facilitate or hamper the effectiveness of procurement. The purpose of this paper is to investigate the extent to which procurement capacity challenges in the national environment affect the effectiveness of infrastructure procurement by public agencies in Nigeria.

A total of 30 procurement capacity challenges drawn from literature were operationalized in a survey of infrastructure procurement personnel in different tiers of public agencies (i.e. local and state government) in order to ascertain the critical challenges affecting the effectiveness of infrastructure procurement. The survey yielded 288 responses, which were analysed using descriptive statistics, one-sample t-test and independent-samples t-test.

Challenges related to transparency, integrity and accountability are amongst the topmost challenges adversely affecting the effectiveness of public infrastructure procurement. There is limited difference in the extent to which the challenges affect the effectiveness of infrastructure procurement in different tiers of public agencies in Nigeria.

Whilst various procurement capacity challenges have been identified in the extent literature, this study has shown that an assessment of their effect on the effectiveness of infrastructure procurement could reveal valuable insights regarding the status of public infrastructure procurement within a country, particularly countries in Sub-Saharan Africa and other developing regions where there is acute infrastructure deficits. Such insights could inform appropriate infrastructure procurement reforms by policy makers, procurement entities and infrastructure funders.

This paper aims to develop a multivariate model that will be applicable to the Nigeria construction industry.

A self-administered questionnaire survey was used to source information on project scope factors and qualitative factors considered in the study. Principal component regression was used for data analysis and model development, using SPSS 16.0 for windows, while T-test was used for model testing and validation.

The study found that delay in progress payment by owner, lateness in revising and approving design document by owner, delay in delivering the site to the contractor by the owner, change order by owner during construction, complexity of project design, poor site management and supervision by contractors, and rain effect on construction activities are qualitative/non-project scope factors with good predictive abilities.

Cost, gross floor area and number of floors were the only quantitative/project scope factors considered in the study. The developed models therefore do not account for any variation in duration which may arise from other project scope factors, such as location, procurement route and type of contract.

The qualitative factors which emerged as predictors in the derived models increased the accuracy of the models. The models developed therefore serve as useful construction time prediction tools for both consultancy firms and contractor organizations in the Nigerian construction industry.

Ọsẹ dúdú production and sale constitute a major indigenous business among the Yoruba people. Scholars have noted that the business is capable of boosting the socio-economic status of black soap entrepreneurs and of countries. However, ọsẹ dúdú enterprise has some significant threats and problems that are yet to be researched. This chapter examined the challenges of osẹ dúdú entrepreneurs in Southwest Nigeria. Twenty-six interviews were conducted among indigenous black soap producers and sellers in Ogun, Oyo and Lagos States. Data were analysed in themes. Weather, financial, spiritual, copyright and succession challenges, as well as issues such as a large number of sellers, debt, lack of support, pricing and brand competition, were found to be problems faced by black soap entrepreneurs. This chapter concluded that certain controllable and uncontrollable factors were not only capable of limiting the development of osẹ dúdú business but also have adverse implications for the achievement of the sustainable development goals through the indigenous resource. This chapter suggests that osẹ dúdú business actors such as mechanical engineers, local fabricators, financial institutions, and governmental and non-governmental agencies collaborate with black soap entrepreneurs to ameliorate the challenges of the latter. It is only through this alliance that black soap entrepreneurs can contribute to indigenous business development and the achievement of sustainable development goals in Africa.