Dawn Laux

Adoption of Biometric Authentication Systems: Implications for Research and Practice in the Deployment of End-User Security Systems

Recent security lapses have demonstrated the importance of augmenting authentication protocols in sensitive areas of the economy, such as financial services and banking. In addition, new legislative requirements for secondary authentication mechanisms have highlighted the use of biometric technology as a reliable, but not required, means of authentication. The focus of this study examines the factors that influence the adoption of biometric authentication in organizations. The research model measures the relative contribution that variables in three categories (External Pressure, Readiness, and Perceived Benefits) have in the intent to adopt biometric authentication in financial services institutions. Managers of these institutions were surveyed, and the resulting model indicates that, as expected, the intent to adopt is driven by competitive factors, an organizations financial resources, and the perceived benefits associated with the technology. An important unanticipated finding from this research is that managerial support was not shown to be significantly related to adoption intent, which may be attributed to the context of biometric systems adoption. This research advances our understanding of the adoption literature by demonstrating how structural factors can influence the decisions made by organizational actors and by applying theories of adoption to a new technology—biometrics.

Collaboration, connectedness, and community

Institutions of higher education are being called upon to provide a more robust pathway to a college degree and improve upon the advanced workforce for the needs of the 21st century. While active collaborative learning environments have been encouraged in higher education to improve student engagement, there is a gap in the literature when it comes to connecting the two research areas of collaborative learning and student intention to persist. This research fills this gap by creating and conducting research to examine a model that measures the factors that significantly influence a students persistence in a virtual collaborative learning environment. The model examines how collaborative learning, campus connectedness, sense of community, organizational commitment, and turnover intention influence student persistence. The model was tested using a sample of students who participated in a virtual learning community (VLC) and the results suggest that all but one of the factors were found to significantly influence student persistence, with the final factor dependent on the number of hours of system usage. We discuss the implications of the research and the model for team-based theory and organizational practice in education and teamwork. Factors influencing persistence in a virtual collaborative learning environment.Hypothesized model found to effectively measure persistence.Hours of system usage found to effect relationships in the model.