Archives For Risk

End-user acceptance of biometrics

Tuesday, December 3, 2013

A new publication is available on the topic of pervasive technology acceptance, co-authored with C. Lancelot Miltgen, and T. Oliveira (2013): Determinants of end-user acceptance of biometrics: Integrating the “Big 3” of technology acceptance with privacy context. The work significantly adds to our understanding of the determinants of end-user acceptance of biometric systems. Abstract:

The information systems (IS) literature has long emphasized the importance of user acceptance of computer-based IS. Evaluating the determinants of acceptance of information technology (IT) is vital to address the problem of underutilization and leverage the benefits of IT investments, especially for more radical technologies. This study examines individual acceptance of biometric identification techniques in a voluntary environment, measuring the intention to accept and further recommend the technology resulting from a carefully selected set of variables. Drawing on elements of technology acceptance model (TAM), diffusion of innovations (DOI) and unified theory of acceptance and use of technology (UTAUT) along with the trust-privacy research field, we propose an integrated approach that is both theoretically and empirically grounded. By testing some of the most relevant and well-tested elements from previous models along with new antecedents to biometric system adoption, this study produces results which are both sturdy and innovative.We first confirm the influence of renowned technology acceptance variables such as compatibility, perceived usefulness, facilitating conditions on biometrics systems acceptance and further recommendation. Second, prior factors such as concern for privacy, trust in the technology, and innovativeness also prove to have an influence. Third, unless innovativeness, the most important drivers to explain biometrics acceptance and recommendation are not from the traditional adoption models (TAM, DOI, and UTAUT) but from the trust and privacy literature (trust in technology and perceived risk).

A study linking perceived risk to IT adoption determinants, co-authored with C. Martins and T. Oliveira, is scheduled to appear in February 2014 issue of International Journal of Information Management. The work titled Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application shows – through an empirical investigation – how perceived risk interplays with well-recognized UTAUT model variables. Abstract:

While understanding the main determinants of Internet banking adoption is important for banks and users, our understanding of the role of users’ perceived risk in Internet banking adoption is limited. In response, we develop a conceptual model that combines unified theory of acceptance and use of technology (UTAUT) with perceived risk to explain behaviour intention and usage behaviour of Internet banking. To test the conceptual model we collected data from Portugal (249 valid cases). Our results support some relationships of UTAUT, such as performance expectancy, effort expectancy, and social influence, and also the role of risk as a stronger predictor of intention.