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This study attempts to examine the factors that influence user intention to adopt e-procurement in the Nigerian public sector.

A well-structured questionnaire was used to collect primary data from 278 procurement and information technology (IT) departments’ officials of key federal government ministries and agencies. The technology acceptance model (TAM) model was adopted and extended with security-related factors, namely perceived trust and perceived security. A partial least squares-structural equation modelling (PLS-SEM) approach was used to test and validate the model.

The results indicated that perceived usefulness is the best predictor of users’ intention to adopt e-procurement, followed by perceived security and perceived trust. In contrast, however, perceived ease of use was found to have a significant negative effect on the intention to adopt e-procurement.

This study is among the first in the Nigerian public sector context to evaluate users’ perceptions on e-procurement adoption with the use of a distinctive research model (TAM). The study's findings contribute to a better understanding of the factors influencing the adoption of e-procurement in the Nigerian public sector.

Research on the living conditions of slum dwellers in the inner cities of developing countries has received much attention. Nevertheless, there is little empirical research on the influence of personal attributes on the poor environmental condition of the slum area. This study aims to examine the relationship between the socio-economic characteristics and the physical condition of the slum environment in the inner city of Ibadan, Nigeria.

Data was collected through the use of questionnaire administration from a household survey of 491 slum dwellers. Systematic random sampling was used in the selection of the respondents. The study used descriptive, factor and multiple regression to analyse the data collected.

The study used descriptive, factor and multiple regression to analyse the data collected. The study reveals an interplay between various socio-economic factors and environmental conditions. The results show that out of ten (10) socio economic variables that were submitted in the regression model, only eight (8) of these variables such as income, household size, occupation, level of education, age, marital status, year of residency and nativity were significant.

The study concluded that despite the fact that the condition of the slum environment is a product of multiple interrelated factors, personal attributes also contribute to the poor environmental condition of the slum area. The study recommended that improving the socio-economic conditions of slum dwellers would lead to improved environmental conditions.

Several governments in developing countries have attempted via policies and programmes to improve access to low-cost housing (LCH) finance for low-income house owners, but sustainability has been an issue. Therefore, sustainable LCH (SLCH) financing framework may mitigate issues hindering LCH financing sustainability in developing countries. There is a paucity of studies about SLCH financing through a framework in Nigeria. Thus, the study investigated the barriers facing low-income earners (LInEs) accessing SLCH finance and developed a framework for promoting Nigerian SLCH financing.

The research employed a soft system methodology (SSM) to understand Nigeria’s LCH financing sustainability. The adopted method permitted a substitute to enhance LCH financing sustainability part way through a developed framework. The study conducted interviews across seven cities in Nigeria with selected practitioners.

The results were presented using the SSM seven steps. Findings reveal the state and barriers facing LInEs in accessing SLCH finance. Also, findings show that there is a need for a finance framework. It would improve sustainability, especially for intending low-income house owners across Nigeria’s cities. Findings include a framework to reposition LCH financing sustainability to promote homeowners for intending low-income house owners across Nigeria’s cities.

Besides the developed LCH financing sustainable framework, housing policymakers and developers can employ SLCH financing to improve low-income intending house owners in Nigeria. This may be the first study to develop a SLCH financing framework using SSM in a developing economy.

The purpose of this study is to examine the relative importance of climate normals (average long-term temperature and precipitation) in explaining net farm revenue per hectare (NRh) for supplementary irrigated and rainfed cocoa farms in Nigeria.

NRh was estimated for 280 cocoa farmers sampled across seven Nigerian states. It was regressed on climate, household socio-economic characteristics and other control variables by using a Ricardian analytical framework. Marginal calculations were used to isolate the effects of climate change (CC) on cocoa farm revenues under supplementary irrigated and rainfed conditions. Future impacts of CC were simulated using Six CORDEX regional climate model (RCM) ensemble between 2036-2065 and 2071-2100.

Results indicate high sensitivity of NRh to Nigerian climate normals depending on whether farms use supplementary irrigation. Average annual temperature increases and precipitation decreases are associated with NRh losses for rainfed farms and gains for supplementary irrigated cocoa farms. Projections of future CC impacts suggest a wide range of NRh outcomes on supplementary irrigated and rainfed farm revenues, demonstrating the importance of irrigation as an effective adaptation strategy in Nigeria.

This paper uses novel data sets for simulating future CC impacts on land values in Nigeria. CORDEX data constitute the most comprehensive RCMs projections available for Africa.