An assessment of the implications of disruptive technologies on the performance of energy infrastructure projects in Ghana

Abstract

Purpose The demand for energy infrastructure projects has increased steadily over the last few decades and has come at a high cost. Disruptive technologies (DTs) have the inherent capability to affect the performance of energy infrastructure projects. Therefore, this research aims to explore the implications of DTs on the performance of energy infrastructure projects. Design/methodology/approach This research adopts a positivist philosophical position. A quantitative strategy and deductive approach (based on a survey design) guided this study. Sixty-six respondents participated in the study. The study’s population comprised of experts in energy infrastructure projects who possessed a high level of industrial experience including top- and middle-level management of power generation companies. Cochran’s formula was used to select a sufficient sample for the study. Linear regression, one sample test and Cronbach’s alpha were the analytical tools adopted. Findings This study established that there is an 18.4% increase in the performance of energy infrastructure projects in Ghana when DTs are applied. In order of importance, DTs improve speed of operations in energy projects; reduce operating cost and enhance efficiency of energy projects; drive sustainable economic development; enhance security in energy projects; and improve environmental sustainability of projects. The study also revealed that e-commerce technologies, renewable energy technologies, three-dimensional printing, bar code technology, photogrammetry, global positioning systems, geographic information systems and nanotechnologies were the topmost ranked DTs with the most impact on the performance of energy infrastructure projects. Originality/value This is a novel investigation on the implications of DTs on the performance of Ghanaian energy infrastructure projects. This study’s practical implication is evident in both policy and practice. Energy sector policymakers should endeavour to adopt DTs in their operations to enhance sustainability and performance.

Structural equation model (SEM) for evaluating interrelationships among risks inherent in Ghanaian public–private partnership (PPP) power projects

“…Debt on off-taker has also been attributed to state agencies that consume power without paying for it (World Bank, 2013). In Ghana, IPPs often complain of generating power but receiving payments in piece meal (Seidu et al ., 2022). This situation in Ghana is no different from the happenings in many power sectors across the world and predominantly in developing countries (UNIDO/UN Energy, 2011).…”

Fuzzy quantitative risk allocation model (FQRAM) to guide decision-making on risk allocation in Ghanaian public-private partnership (PPP) power projects

“…Ghana loses between 2% and 6% of its gross domestic product each year due to insufficient and inconsistent power supply. As a result, having a dependable and appropriate power source is even more critical (Seidu et al , 2022). The puzzling rationing system, the decrease in industrial activity, work and wage losses, and societal turmoil serve as stark reminders of what presently shows up to be a lasting obstacle to Ghana’s development plan (Blay Jnr et al , 2021).…”