PACIS 2022 Proceedings

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Paper Number

1045

Abstract

The national digital identity systems (NDIDs) are a security system that provides digital identity management services and authentication of users for e-government services. The literature review highlights that governments’ NDIDs help improve e-service delivery to users, enabling digital identity management to increase efficiency and allow on-demand services. Further, it enables governments to focus on their core businesses and allows user verification to be completed by the identity systems. Despite its usefulness and considerably secured authentication system, over 2.5 million Australians have opted out of the ‘My Health Record’—a national digital identity system for healthcare introduced recently by the Australian Government due to concerns about digital identification information being used without authorisation and other privacy concerns. This phenomenon warrants a focused investigation into the human-centric cybersecurity factors concerning adoption of national digital identity systems. User perceptions of NDIDs significantly impact their use and acceptance. Previous studies on the adoption of NDIDs provide limited frameworks to develop future research with a particular focus on government services and how the system might be improved. This study evaluates how human-centric cybersecurity factors influence the use of NDIDs and acceptance among users. This study is the first to research the human-centric cybersecurity factors influencing users’ adoption of national digital identity systems. It addresses gaps in the literature and contributes to the national digital identity systems adoption literature, especially within the e-government context. This research also helps enrich the knowledge and understanding of why users adopt or reject national digital identity systems, such as My Health Record. This research will be useful for governments and the public sector planning or are in the process of implementing or reviewing their national digital identity systems. It will also be useful for the business support community that is engaged with e-government services. This research uses a mixed-method approach to collect and analyse data. The data will be collected through a survey with open-ended questions that will be analysed using the exploratory factor analysis method. Meanwhile, the survey data will be collected using the Likert scale and analysed using confirmatory factor analysis. We hypothesis that human- centric cybersecurity factors influence the use of NDIDs and acceptance among users. The study also provides a model for increasing cybersecurity awareness among users to improve NDIDs usage.

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