Exploratory factor analysis of new technology acceptance

Abstract

This research examines the acceptance of new technologies, referring to the level of willingness of users to adopt emerging technologies such as Artificial Intelligence, Blockchain, the Internet of Things, Virtual and Augmented Reality, Quantum Computing, and others in their work. The belief is that utilizing such technologies will enhance work efficiency. The objectives of the study are: 1. To explore the components of factors influencing the acceptance of new technologies, and 2. To analyze these components and develop a model for new technology acceptance in the Bangkok area. This research follows a quantitative approach. The sample consists of 385 technology users, including students and working professionals in Bangkok, selected through simple random sampling. The research instrument used was a questionnaire, and the statistical analyses included frequency, mean, standard deviation, and exploratory factor analysis (EFA). The study's findings reveal that the exploratory factor analysis of new technology acceptance can be divided into three dimensions. The first dimension, Readiness and Support for New Technology Adoption, consists of four factors: 1) Trust in Leadership, 2) Training, 3) Involvement in Decision-Making, and 4) Technological Readiness. The second dimension, Efficiency and Utilization of New Technology, includes five factors: 1) Perceived Usefulness, 2) Perceived Ease of Use, 3) Attitude Toward Using, 4) Relative Advantage, and 5) Observability. The third dimension, Complexity of New Technology, is represented by a single factor: Complexity.