Abstract
Cloud computing has revolutionized technology and education by providing scalable virtual resources accessible via the internet. This study emphasizes the importance of usability in cloud services, discussing various scales and metrics while highlighting their strengths and weaknesses. It underscores the necessity for a comprehensive usability scale that integrates both subjective and objective measures to suit diverse user scenarios and populations. The article introduces the Cloud Applications/Services Usability Development Scale, comprising five usability dimensions: Capable, Personal, Reliable, Valuable, and Secure. To validate the instrument, factor analysis was performed on 28 items for each construct, utilizing Principal Component Analysis and Varimax Rotation. The Kaiser-Meyer-Olkin (KMO) and Bartlett’s Test were applied to assess sampling adequacy. Construct validity and reliability were scrutinized using AMOS 21, a statistical analysis software for structural equation modeling (SEM). A confirmation factor analysis was employed to assess both converging and discriminating validity. A survey conducted among actual cloud application users, specifically Google Drive users in Lahore’s public libraries, demonstrated the strong construct validity and reliability of the developed instrument. The Cloud Applications/Services Usability Development Scale proved effective in evaluating the usability of cloud-based applications. This study not only contributes valuable insights to the development and validation of usability measurement tools for cloud applications but also addresses a significant gap in local and international literature. Furthermore, it serves as a model for creating and validating measurement tools for cloud services, offering practical implications for usability testing and methodological advancements in the field of cloud computing.
Published Version
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