The influence of technology readiness on technology acceptance in the South African mining industry

Abstract

The South African mineral mining sector makes significant contributions to the local economy and participates in social initiatives that benefit employees and neighbouring communities. In recent years, volatile commodity prices, increased environmental and sustainability requirements, and deteriorating economic conditions have compelled global mining organisations to implement innovative technologies to address such challenges. Successful implementation of such technologies in the South African context is critical to ensure that the sector remains competitive and provides continued economic and social value. However, existing qualitative research concerning technology adoption within the sector has revealed that individuals have a resistive nature toward change and innovation. Therefore, this quantitative study investigated the influence of individuals’ technology predispositions and perceptions on usage intentions in the South African mining context. These facets were examined by extending the prevalent Technology Acceptance Model (TAM) with elements from the Technology Readiness Index (TRI). The influence of individual differences relating to chronological age, education level, and organisational roles was also investigated. Primary data was collected through non-probability snowball sampling of 150 respondents, and nonparametric statistical methods were used to determine the relationships between the TRI motivators, TRI inhibitors, TAM perceived usefulness (PU), and TAM usage intention (UI) constructs. It was found that there was a positive correlation between TRI motivators concerning PU and UI, with a converse relationship for the TRI inhibitors. There was a strong positive correlation between PU and UI, which confirmed the findings of several previous studies involving the TAM. There was no significant difference between groups of different chronological ages and organisational roles concerning UI, but there was a significant difference for individuals with different levels of education. Additionally, and importantly, it was found that the respondents primarily held a positive perception and linked inclination towards adoption intentions, which contradicted the findings within the existing literature. The results also indicated a high degree of predictability concerning adoption based on individuals’ perceptions. Stakeholders and managers looking to technology to solve business challenges should consider these perceptions to ensure successful implementation.