Development and psychometric evaluation of the cloud computing acceptance questionnaire for academic libraries

Abstract

Cloud computing is a new technology that drives libraries to create and share knowledge, leading to the cost reduction, easy management, and unlimited data storage capacity. Given the importance of cloud computing technology and the lack of tools to investigate the factors affecting cloud computing acceptance in academic libraries; therefore, the aim of present study was to perform the development and psychometric evaluation of the cloud computing technology acceptance questionnaire for academic libraries. This study is a methodological research. After defining the concept of cloud computing acceptance, the initial version of the questionnaire consisting of 43 items and 11 components was designed. Then, face and content validity were used to assess validity, and Cronbach's alpha coefficient and intra-class correlation coefficient (ICC) were used to determine reliability. The results showed that the questionnaire has acceptable face validity (more than 1.5) and content validity (0.79). The Cronbach's alpha coefficient and the intra-class correlation coefficient were 0.77 and 0.92, respectively. In this study, for the first time, a tool was designed to evaluate the acceptance of cloud computing technology in academic libraries. Due to the fact that this tool has acceptable validity and reliability, it can be used in various studies and surveys.