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Abstract
Web-based identity management systems (IdMS), a new and innovative information technology (IT) artefact, involve the integration of emerging technologies and business processes to create identity-centric approaches for the management of users, their attributes, authentication factors and security privileges across the Internet within multiple websites.With the growth of online identities on the Internet, IdMS enable the use of the same user data, managed identifiers and authentication credentials across multiple websites, reducing the number of identifiers (e.g. passwords) and profiles with which a user has to deal.The key to the adoption of any solution in the online identity space is the willingness of the user population to accept the proposed solution. Understanding factors that affect user adoption of innovative IT is of interest to researchers in a diversity of fields. However, no research has investigated the conceptualization and measurement, and empirically examined the initial adoption of IdMS from the end-user perspective. The main objective of this study is to fill this clear gap by aiming to develop a theoretical model by integrating theories from information systems and psychology literature to understand and empirically examine the important factors affecting the user adoption of IdMS. The study suggests a positive-quantitative approach to explain and predict a causal model and validate the results. The research instruments were developed and validated using pre-tests and pilot study. The data collection was carried out using an online survey method, with 332 respondents form Facebook and LinkedIn users. Data analyses were conducted under structural equation modelling using the partial least squares technique. The model was successfully validated, and statistically significant confirmation was provided that perceived usefulness, perceived ease of use, fit, trusting beliefs, trust in the Internet, information disclosure, privacy concerns and cost influenced behavioural intentions to adopt IdMS. The study theoretically extends the body of knowledge of IT adoption into the IdMS domain. Moreover, it provides a theoretical user-adoption model relevant to IdMS. For practitioners, the study develops guidelines for IdMS designers and provides for the employment of more targeted implementation efforts. The study discusses some implications and highlights some opportunities for creating and enhancing new IdMS.