Enablers for Adoption of E-Learning Technology in Anti-Money Laundering Training in UAE Banks

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.

Saved in:
Bibliographic Details
Main Author: Al Hammadi, Alya Hussain (author)
Format: doctoralThesis
Published: 2007
Subjects:
Online Access:http://hdl.handle.net/11073/118
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1864513444105945088
author Al Hammadi, Alya Hussain
author_facet Al Hammadi, Alya Hussain
author_role author
dc.contributor.none.fl_str_mv Zualkernan, Imran
dc.creator.none.fl_str_mv Al Hammadi, Alya Hussain
dc.date.none.fl_str_mv 2007-05
2011-03-10T12:43:46Z
2011-03-10T12:43:46Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv 35.232-2007.01
http://hdl.handle.net/11073/118
dc.language.none.fl_str_mv en_US
dc.subject.none.fl_str_mv Engineering
Management
Engineering systems
dc.title.none.fl_str_mv Enablers for Adoption of E-Learning Technology in Anti-Money Laundering Training in UAE Banks
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/doctoralThesis
description 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.
format doctoralThesis
id aus_15e47ae4f5b409c1cc22922e1be173d6
identifier_str_mv 35.232-2007.01
language_invalid_str_mv en_US
network_acronym_str aus
network_name_str aus
oai_identifier_str oai:repository.aus.edu:11073/118
publishDate 2007
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
spelling Enablers for Adoption of E-Learning Technology in Anti-Money Laundering Training in UAE BanksAl Hammadi, Alya HussainEngineeringManagementEngineering systemsA 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.College of EngineeringDepartment of Industrial EngineeringMaster of Science in Engineering Systems Management (MSESM)Zualkernan, Imran2011-03-10T12:43:46Z2011-03-10T12:43:46Z2007-05info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdf35.232-2007.01http://hdl.handle.net/11073/118en_USoai:repository.aus.edu:11073/1182025-06-26T12:34:25Z
spellingShingle Enablers for Adoption of E-Learning Technology in Anti-Money Laundering Training in UAE Banks
Al Hammadi, Alya Hussain
Engineering
Management
Engineering systems
status_str publishedVersion
title Enablers for Adoption of E-Learning Technology in Anti-Money Laundering Training in UAE Banks
title_full Enablers for Adoption of E-Learning Technology in Anti-Money Laundering Training in UAE Banks
title_fullStr Enablers for Adoption of E-Learning Technology in Anti-Money Laundering Training in UAE Banks
title_full_unstemmed Enablers for Adoption of E-Learning Technology in Anti-Money Laundering Training in UAE Banks
title_short Enablers for Adoption of E-Learning Technology in Anti-Money Laundering Training in UAE Banks
title_sort Enablers for Adoption of E-Learning Technology in Anti-Money Laundering Training in UAE Banks
topic Engineering
Management
Engineering systems
url http://hdl.handle.net/11073/118