4 research outputs found

    Recommendations for Safety-Conscious Smart Device Use by Military Professionals

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    Perceptions of Risk and Security Concerns with Mobile Devices using Biometric vs Traditional Authentication Methods

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    Authentication methods on mobile devices provide an important layer of security. Many types of authentication methods exist, some traditional and some biometric-based. In this study, we use a survey method to examine whether the presence and type of an authentication method affect perceptions of risk and security concerns around three specific types of mobile device actions: banking, health, and activities with personally identifiable information (PII). We also survey users’ general perceptions of trust, usefulness, convenience, and ease of use toward authentication methods, both traditional and biometric. We find that users’ perceptions of risk and security concerns change when users consider the type of authentication method present on a device. While traditional methods are still more familiar to most users, we also find that perceptions of biometric-based methods are more similar to perceptions of traditional methods than in the past

    Developing the mUTAUT model – a mobile shopping perspective

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    Smartphones and tablets (mobile devices) worldwide usage has reached an all-time high, of which the services they provide to users are also increasing in popularity. While mobile banking and mobile payments are increasing in consumer adoption in the UK, mobile shopping (m-shopping) surprisingly remains an under-utilised commodity. Responding to the call for specific theoretical understanding in the mobile context, this study seeks to examine the factors influencing consumers’ mobile shopping (m-shopping) adoption intention, through development of the mUTAUT model, to incorporate more consumer-orientated constructs of innovativeness, risk and trust. The research model is tested using quantitative data (n = 435) and structural equation modelling analysis. Findings reveal performance expectancy, hedonic motivation, habit, risk and trust to be significant influencers of consumer m-shopping intention. Despite inclusion of three control variables of age, gender and experience, only age is found to have a partial moderating effect
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