Neural Network Analysis of Technology Adoption Intentions Among Womenpreneurs in Small and Medium Enterprises

Financial literacy has grown significantly in recent years, leading to increased accountability among individuals in managing their spending, investments, and financial planning. To effectively develop new technologies, how potential users respond to them beforehand must be understood. In this study, we developed a model based on the unified theory of acceptance and use of technology (UTAUT), encompassing five primary components: performance expectations, social influence, facilitating conditions, satisfaction, and continuation intentions. A total of 250 participants’ data were analyzed using an artificial neural network (ANN) to evaluate the integrated model. The results showed variables affecting lower-middle-class users of a digital financial literacy application’s acceptance of new technology.