Modelling the adoption of electronic vehicle diagnostic technology for vehicle repairs: A structural equation modelling approach

Abstract

The introduction of emission legislation around the world has led to an increasing number of innovations including the use of on-board diagnostic techniques for pin-pointing faults on vehicles. Generally, the adoption of Electronic Vehicle Diagnostic Technology (EVDT) for the repair of vehicles is low in Ghana. The objective of the study was to develop an Electronic Vehicle Diagnostic Technology Acceptance Model (EVDTAM) to assess the mechanics' intention to use and the actual use of EVDT for the repair of vehicles. The model developed was derived from the original Technology Acceptance Model (TAM) by considering the technological factors (perceived ease of use and perceived usefulness), and Decomposed Theory of Planned Behaviour (DTPB). In this research, a convenient sampling technique was used to select a population of 384 auto mechanic master craftsmen from the Volta and Greater Accra Regions in Ghana where automobile repair workshops especially local and corporate garages were dominant.The results indicated that the majority of the structural relationships supported the hypotheses with positive significant links. The technology facilitating condition emerged as the strongest predictor of intention to use EVDT. The adoption of EVDT was strongly predicted by the resource facilitating conditions. The empirical findings of the study are a step forward towards filling the research gap given the fact that testing and validation of the EVDTAM model has not been performed by any other study. The proposed model was found acceptable per the requirements of measurement and structural model testing. Practical and theoretical implications were also discussed.