Effective management of knowledge assets is key to surviving in today's competitive business environment. This is particularly true for large organisations, where employees have difficulties identifying where or with whom the knowledge lies. Expertise is one of the most important knowledge assets and largely resides in the heads of employees. Many attempts have been made to help locate employees with the right expertise; however, the existing systems (often referred to as expertise finding systems) carry several flaws. In organisations, there are several potential sources where expertise evidence might be found. These sources have been used by the existing approaches to profile employees' expertise. Unfortunately, there has been limited research showing whether these sources contain useful evidence of expertise. Moreover, the majority of existing approaches have not been designed to integrate with the organisations' work practices; nor have they investigated the socio-ethical challenges associated with the adoption of such systems. Therefore, there is a need for expert finding systems that utilise useful sources of expertise and integrate into existing work practices. Through industry involvement, this research has explored and validated email content as a source for expertise profiling. This thesis provides an overview of the traditional and current approaches to expertise finding. The development and implementation of the EKE (Email Knowledge Extraction) system which tries to overcome the aforementioned challenges is presented. EKE has been evaluated by end-users from both industry and academia. The evaluation results suggest that EKE is a useful system that encourages participation, and that in many cases may assist in the management of knowledge within organisations.

Evidence of the interest in enterprise architecture (EA) is seen in the number of enterprise architecture frameworks (EAF) in existence. An EAF is responsible for the realisation of an EA, and therefore acts as a container for the terminology of EA. The lack of acceptance of terms and definitions, coupled with the phenomenon of the large number of EAFs, indicate a silo type understanding of what EA is, which leads to a lack of clarity in the conceptual foundations of EA. By following a design science research (DSR) approach, a conceptual artefact (an enterprise architectonic (EAt)) is created to address the lack of clarity in the conceptual foundations of EA thinking and practice. The EAt serves as a conceptual device to represent the fundamental understanding of EA in terms of concepts and their relationships. The content of the EAt is derived from applying a structured interpretation method (SIM) to three prominent EAFs (The Open Group Architecture Framework, the Department of Defense Architecture Framework and the Zachman Framework for Enterprise Architecture). The SIM’s results are an EA understanding that consists of an EA claim: EA is similar in intent to the enterprise as a worldview is to the world. It is supported by six EA propositions:  Proposition 1: EA’s underlying theoretical knowledge is in a pre-suppositional state.  Proposition 2: EA is a description of the structure of the systems of an enterprise.  Proposition 3: EA represents the enterprise in time-oriented architectures such as an as-is, to-be and has-been architecture.  Proposition 4: EA translates the values/strategy of the enterprise into operational systems appropriate to the information society.  Proposition 5: EA provides a means to manage decisions about the IT/IS management and implementation in the enterprise.  Proposition 6: EA captures a representation of the enterprise in the form of a model or set of models. The six EA propositions are analysed through the lens of Heidegger's equipment analysis, to produce a set of architectonic elements. These elements are arranged in the EAt to create a conceptual device to support the fundamental understanding of EA. / Centre for Applied Information and Communication / Ph.D. (Information Systems)

Evidence of the interest in enterprise architecture (EA) is seen in the number of enterprise architecture frameworks (EAF) in existence. An EAF is responsible for the realisation of an EA, and therefore acts as a container for the terminology of EA. The lack of acceptance of terms and definitions, coupled with the phenomenon of the large number of EAFs, indicate a silo type understanding of what EA is, which leads to a lack of clarity in the conceptual foundations of EA. By following a design science research (DSR) approach, a conceptual artefact (an enterprise architectonic (EAt)) is created to address the lack of clarity in the conceptual foundations of EA thinking and practice. The EAt serves as a conceptual device to represent the fundamental understanding of EA in terms of concepts and their relationships. The content of the EAt is derived from applying a structured interpretation method (SIM) to three prominent EAFs (The Open Group Architecture Framework, the Department of Defense Architecture Framework and the Zachman Framework for Enterprise Architecture). The SIM’s results are an EA understanding that consists of an EA claim: EA is similar in intent to the enterprise as a worldview is to the world. It is supported by six EA propositions:  Proposition 1: EA’s underlying theoretical knowledge is in a pre-suppositional state.  Proposition 2: EA is a description of the structure of the systems of an enterprise.  Proposition 3: EA represents the enterprise in time-oriented architectures such as an as-is, to-be and has-been architecture.  Proposition 4: EA translates the values/strategy of the enterprise into operational systems appropriate to the information society.  Proposition 5: EA provides a means to manage decisions about the IT/IS management and implementation in the enterprise.  Proposition 6: EA captures a representation of the enterprise in the form of a model or set of models. The six EA propositions are analysed through the lens of Heidegger's equipment analysis, to produce a set of architectonic elements. These elements are arranged in the EAt to create a conceptual device to support the fundamental understanding of EA. / Centre for Applied Information and Communication / Ph. D. (Information Systems)