A review of most applicable theories and models of technology acceptance

Abstract

One of the first steps to initiate a technology-related business is to perceive factors that would help users accept technology. In this regard, different models have been introduced to explain technology acceptance and determine users’ needs. These theories have psychological origins and involve comprehensively cognitive backgrounds which deal with components that predict the user’s behavior. Prediction of user’s behavior which is a major element of technology development success helps clarify the latent angles of the technology and business development for the developers. In the meantime, this article reviews general concepts of technology acceptance models and theories to provide valuable data about technology acceptance and adoption. Also, the goal of this article is to train and demonstrate these theories for the readers.

Factors influencing the acceptance and use of a South African online bank

“…Task technology fit (TTF): TTF, developed by Goodhue and Thompson (1995), can explain technological innovation dynamics. The theory is critical in understanding the impact of technology on individual performance (Alshammari 2020).…”

“…After synthesising other TAMs, Venkatesh et al (2003) developed the UTAUT (Alshammari 2020) with the influential constructs of performance expectancy (PE), effort expectancy (EE), social influence (SI), and facilitating conditions (FC). Gender, experience, age and voluntariness of use were also identified as significant moderating variables (Taherdoost 2018).…”

“…Gender, experience, age and voluntariness of use were also identified as significant moderating variables (Taherdoost 2018). The model is used to explain a user's intention to use technology and behaviour; it depicts the technology acceptance process in detail (Alshammari 2020).…”