A Master of Science Thesis in Engineering Systems Management Submitted by Alya Hussain Al Hammadi Entitled, "Enablers for Adoption of E-Learning Technology in Anti-Money Laundering Training in UAE Banks," May 2007. Available are both Soft and Hard Copies of Thesis.
Like other organization-wide compliance training regimes, e-Learning technologies also provide an ideal platform for anti-money laundering training in the banking sector. The past 9/11 environment and the recent monetary penalties borne by banks engaged in money laundering activities make the adoption of this technology even more impending. This thesis develops a model for investigating the diffusion of e-Learning technologies in the banking sector. The model incorporates factors from a host of theories including Innovation Characteristics (Relative Advantage, Compatibility, Complexity, Triability and Observability), Organization Characteristics (Top Management Support, Championship, Centralization, Formalization, Internal Influence, External Influence and Organization Slack), Environmental Characteristics (External Pressure, Competition and Coercive Influence), E-learning Readiness, Stages for Anti-money laundering, Banks Categories (Innovators, Early Adopters, Early Majority, Late Majority and Laggards) and Degree of Adoption. This model is subsequently applied to examine the extent to which e-Learning technologies for anti-money laundering training are being used in UAE banks. This research uses a qualitative research approach through a questionnaire to conduct the investigation. The exploratory study incorporating most major banks in the UAE shows that a host of usual factors related to Innovation, Organization and Environmental Characteristics do not explain why certain banks have not adopted the technology for e- Learning in the UAE. However, E-learning Readiness and the perceived Complexity of the e-Learning technologies seem to explain why banks have not adopted e-Learning. This thesis makes two contributions. First, a detailed model incorporating a large number of factors to study the diffusion of e-Learning innovations in the banking sector is developed. Secondly, this model has been applied to banks in the UAE to determine the characteristics of factors that have led to the adoption of this technology.