Modern enterprise organisations rely on dynamic processes. Generally these processes cannot be modelled once and executed repeatedly without change. Enterprise processes may evolve unpredictably according to situations that cannot always be prescribed. However, no mechanism exists to ensure an updated process does not violate any compliance requirements. Typical workflow processes may follow a process definition and execute several thousand instances using a workflow engine without any changes. This is suitable for routine business processes. However, when business processes need flexibility, adaptive features are needed. Updating processes may violate compliance requirements so automatic verification of compliance checking is necessary. The research work presented in this Thesis investigates the problem of current workflow technology in defining, managing and ensuring the specification and execution of business processes that are dynamic in nature, combined with policy standards throughout the process lifycle. The findings from the literature review and the system requirements are used to design the proposed system architecture. Since a two-tier reference process model is not sufficient as a basis for the reference model for an adaptive and compliance workflow management system, a three-tier process model is proposed. The major components of the architecture consist of process models, business rules and plugin modules. This architecture exhibits the concept of user adaptation with structural checks and dynamic adaptation with data-driven checks. A research prototype - Adaptive and Compliance Workflow Management System (ACWfMS) - was developed based on the proposed system architecture to implement core services of the system for testing and evaluation purposes. The ACWfMS enables the development of a workflow management tool to create or update the process models. It automatically validates compliance requirements and, in the case of violations, visual feedback is presented to the user. In addition, the architecture facilitates process migration to manage specific instances with modified definitions. A case study based on the postgraduate research process domain is discussed.

Despite the minimum legal drinking age of 21, many underage persons regularly purchase alcohol from licensed alcohol establishments. The purpose of this study was to determine the establishment, geographic, and community economic and demographic characteristics that are associated with illegal sales of alcohol to underage persons in Georgia. Multivariate logistic regression analysis was used to determine factors that were associated with illegal sales of alcohol to underage persons of Georgia. Statistical adjustments were made for ownership type (e.g., corporate owned), region (e.g., southeast Georgia, metro-Atlanta), rural vs. urban area, and many community economic and demographic variables (e.g., unemployment rate, minority populations). Overall, underage subjects attempted to purchase alcohol in 2949 off-premise establishments from July of 2007 to June of 2008. Compared to corporate-owned establishments, institutions not owned by corporations were associated with increased odds of alcohol sale to underage persons, adjusting for other independent variables. Establishments that are located in counties with a high density of alcohol outlets were much more likely to sell alcohol to underage persons. To reduce underage drinking in Georgia, beverage law enforcement should increase monitoring of non-corporate owned establishments and areas with a high density of alcohol outlets. Overall, responsible beverage service training of both corporate and non-corporate employees may help in reducing alcohol sales to underage persons in Georgia.