Search results

E-procurement has the advantage of improving the overall performance of construction project delivery. The purose of this study is to uncover the factors influencing e-procurement acceptance in the public sector of Ghana’s construction industry (GCI). Using an extended unified theory of acceptance and use of technology (UTAUT 2), variables that promote the acceptance of e-procurement in GCI were explored.

Data was collected using a mixed method strategy. In the first stage, a semi-structured interview was used to collect, assess and optimize the UTAUT2 model. Thematic analysis was used on the qualitative data, leading to modification of the proposed UTAUT2 model. The study subsequently used a questionnaire survey using the extended UTAUT2 model. Survey data was analyzed using structural equation modelling (SEM), leading to the identification and validation of factors that facilitate e-procurement acceptance in Ghanaian construction as well as the impact of these factors.

The findings of the study reveal that five independent constructs of the proposed UTAUT2 model significantly affects the behavioural intention of practitioners to accept and use e-procurement in the construction industry in Ghana.

The study will be of utility to government agencies, contracting organizations and other construction stakeholders in developing policy and programmes to support e-procurement acceptance within the sector.

This is a new extended UTAUT2 model that is applicable to technology acceptance within the public sector in sub-Saharan Africa.

The substantial benefits of e-procurement to organizations and institutions have, over the past two decades, become central to supply chain management. This study aims to identify the factors that facilitate the adoption of e-procurement system using modified Unified Theory of Acceptance and Use of Technology (UTAUT2).

Using a quantitative approach, the factors identified in the UTAUT2 are operationalized and examined carefully. The investigation has been conducted using a survey questionnaire. The data set has been obtained from 205 construction professionals in Ghana.

The research evinced that the decision by individuals to adopt e-procurement is mainly influenced by performance expectancy and social influence. By implication, the study found out that the respondents are more likely to adopt e-procurement if it is seen to be user-friendly and useful, and when they have a community of people supporting its use. Overall, the findings suggest that the model can stimulate a high adoption and intention to use e-procurement technologies, given its good predictive potential and robustness.

The structures uncovered in the study show that not all UTAUT2 factors are applicable within the study area. The findings provide a good backdrop in the development of policy and a roadmap for e-procurement implementation in Ghana. This is particularly useful for system development and implementation purposes for government agencies, contracting organizations, professionals and users of e-procurement technologies.

The original contribution and value of the paper is the use of UTAUT2 to provide evidence on their significance to e-procurement adoption among construction professionals.