By investigating the complex effects of technology adoption in Nigeria and offering insight into the dynamic interactions between societal, economic, and technological factors as the global community navigates the post-pandemic era, this study seeks to address significant effects regarding Nigeria's post-COVID-19 technology landscape. The study employed the comprehensive framework, which merged the Technology Acceptance Model (TAM), Innovation Diffusion Theory, and Structuration Theory as a result of the coherence technology adoption model. The cross-sectional survey design gathered primary data through a 5-point Likert scale questionnaire. A simple random sampling technique was adopted to select and analyse 1040 respondents from nine different sectors of the Nigerian economy. Statistical Package for Social Science (SPSS) v25 was utilised for data screening and descriptive statistics, while, SmartPLS v4.0.9.5 was employed to calculate the inferential statistics. Based on the findings from different sectors within the population under investigation, it is clear that all exogenous variables affect the adoption of the technology. The study recommended that local community involvement in technology adoption, legalisation of cutting-edge sectorial compliance, and the use of computer-based evaluation systems for assessment and instructions across educational sectors should be prioritised by the public and corporate bodies.