The purpose of this study was to investigate how knowledge retention may be enhanced at the University of Zambia (UNZA). A mixed research methodology was employed in the case study design. Data was collected using interviews and questionnaires. Purposive sampling was used to determine participants for the interviews while stratified random sampling was employed for the questionnaire respondents. Out of a population of 435 a sample of 205 was surveyed. The response rate was 60 %. Findings indicate that UNZA lacked a number of knowledge retention practices that can enable it to retain operational relevant knowledge. In view of these findings, the study concluded by recommending guidelines for the adoption of various knowledge retention practices that could be embedded into UNZA's knowledge management policy. / Information Science / M.A. (Information Science)

The knowledge gap between Arabic nations and the developed world is widening. A contributing factor to the slow acquisition and production of knowledge is the use of Modern Standard Arabic (MSA) as the language of instruction in schools. To bridge the gap, English is used in tertiary education in most Arab countries. The United Arab Emirates (UAE) is a useful case study to explore the dynamics of Arabic and English in education. After an overview of the problems imposed by MSA, the dilemmas facing the teaching of English and in English in the UAE are explored. Many of the problems encountered in the teaching and learning of English are the product of specific aspects of an education in MSA. The study assesses whether MSA or English is the most viable instrument for the delivery of high quality education in the Arab world and finds that currently English is essential. / English Studies / M.A. (with specialisation in TESOL (Teaching English to Speakers of other languages))

在目前的企業環境中，很多企業致力於管理和應用組織知識，來維持他們的核心能力和創造競爭優勢。有效率的管理組織知識，能減少解決問題的時間和成本，並增加組織學習和創新能力。並且，由於累積知識資源的需求，很多企業開始發展知識庫，以儲存組織及個人的知識，用來增加組織整體的效率、支援日常的運作以及企業策略的操作。 知識管理是現代的典範，可用來有效管理組織知識，進而改善組織績效。知識管理的目的是強調管理知識的流動及流程。在知識管理流程方面，主要區分為知識擷取、整合、儲存/歸類、散播和應用知識等程序。另外，資訊技術可用來協助知識管理，並能使知識管理更有效率。知識管理的主要議題之ㄧ是知識的擷取，由於目前知識來源的提供，主要是透過知識工作者，可是它對於知識工作者而言，是一種額外的負擔。因此，設計一個有效的方法來自動產生組織知識，以減輕他們的額外負擔，將是一個很重要的課題。第二個相當重要的議題是知識整合，由於不同來源的知識，可能造成組織知識的衝突，因此設計一個知識整合方法，把不同來源的知識整合成一個完整的知識，組織將會逐漸增加這方面的需求。 分類在很多應用中是常遭遇的問題，例如財務預測、疾病診斷等。在過去，分類規則常藉由決策樹的方法所產生，並用於解決分類的問題。在本論文中，提出兩個以遺傳規劃為基礎的知識擷取方法和兩個以遺傳規劃為基礎的知識整合方法，分別支援知識管理流程中的知識擷取和知識整合。 在兩個所提的知識擷取方法中，第一個方法是著重在快速和容易地找到想要的分類樹，但是，此方法可能會產生結構較複雜的分類樹。第二個方法是修正第一個方法，產生一個較精簡和應用性高的分類樹。這些所獲得的分類樹，能被轉換成規則集合，並匯入知識庫中，幫助企業決策的制定和日常的運作。 此外，在兩個所提的知識整合方法中，第一個方法，能自動結合多重的知識來源成為一個整合的知識，並可匯入知識庫中，但是此方法只考慮到單一時間點的整合。第二個方法則是可以解決不同時間點的知識整合問題。另外，本論文提出三個新的遺傳運算子，在演化過程中，可用來解決規則集合中有重複、包含和衝突等常見的問題，因而可以產生較精簡及一致性高的分類規則。最後，本論文採用信用卡資料及乳癌資料來驗證所提方法的可行性，實驗結果皆獲得良好的成效。 / In today’s business environment, many enterprises make efforts in managing and applying organizational knowledge to sustain their core competence and create competitive advantage. The effective management of organizational knowledge can reduce the time and cost of solving problems, improve organizational performance, and increase organizational learning as well as innovative competence. Moreover, due to the need to accumulate knowledge resources, many enterprises have devoted to developing their knowledge repositories. These repositories store organizational and individual knowledge that are used to increase overall organization efficiency, support daily operations, and implement business strategies. Knowledge management (KM) is the modern paradigm for effective management of organizational knowledge to improve organizational performance. The intent of KM is to emphasize knowledge flows and the main process of acquisition, integration, storage/categorization, dissemination, and application. Furthermore, extant information technologies can provide a way of enabling more effective knowledge management. One of the important issues in knowledge management is knowledge acquisition. It is an extra burden for knowledge workers to contribute their knowledge into repositories, such that designing an effective method for abating an extra burden to automatically generate organizational knowledge will play a critical role in knowledge management. A second rather important issue in knowledge management is knowledge integration from different knowledge sources. Designing a knowledge-integration method to combine multiple knowledge sources will gradually become a necessity for enterprises. Classification problems, such as financial prediction and disease diagnosis, are often encountered in many applications. In the past, classification trees were often generated by decision-tree methods and commonly used to solve classification problems. In this dissertation, we propose two GP-based knowledge-acquisition methods and two GP-based knowledge-integration methods to support knowledge acquisition and knowledge integration respectively in the knowledge management processes for classification tasks. In the two proposed knowledge-acquisition methods, the first one is fast and easy to find the desired classification tree. It may, however, generate a complicated classification tree. The second method then further modifies the first method and produces a more concise and applicatory classification tree than the first one. The classification tree obtained can be transferred into a rule set, which can then be fed into a knowledge base to support decision making and facilitate daily operations. Furthermore, in the two proposed knowledge-integration methods, the former method can automatically combine multiple knowledge sources into one integrated knowledge base; nevertheless, it focuses on a single time point to deal with such knowledge-integration problems. The latter method then extends the former one to handle integrating situations properly with different time points. Additionally, three new genetic operators are designed in the evolving process to remove redundancy, subsumption and contradiction, thus producing more concise and consistent classification rules than those without using them. Finally, the proposed methods are applied to credit card data and breast cancer data for evaluating their effectiveness. They are also compared with several well-known classification methods. The experimental results show the good performance and feasibility of the proposed approaches.

This dissertation describes a research study conducted to determine the benefits and use of ontology technologies to support a simulation environment that evaluates countermeasures employed to protect military aircraft. Within the military, aircraft represent a significant investment and these valuable assets need to be protected against various threats, such as man-portable air-defence systems. To counter attacks from these threats, countermeasures are deployed, developed and evaluated by utilising modelling and simulation techniques. The system described in this research simulates real world scenarios of aircraft, missiles and countermeasures in order to assist in the evaluation of infra-red countermeasures against missiles in specified scenarios. Traditional ontology has its origin in philosophy, describing what exists and how objects relate to each other. The use of formal ontologies in Computer Science have brought new possibilities for modelling and representation of information and knowledge in several domains. These advantages also apply to military information systems where ontologies support the complex nature of military information. After considering ontologies and their advantages against the requirements for enhancements of the simulation system, an ontology was constructed by following a formal development methodology. Design research, combined with the adaptive methodology of development, was conducted in a unique way, therefore contributing to establish design research as a formal research methodology. The ontology was constructed to capture the knowledge of the simulation system environment and the use of it supports the functions of the simulation system in the domain. The research study contributes to better communication among people involved in the simulation studies, accomplished by a shared vocabulary and a knowledge base for the domain. These contributions affirmed that ontologies can be successfully use to support military simulation systems / Computing / M. Tech. (Information Technology)

Au cours des 25 dernières années, le nombre de joint-ventures internationales (JVI), qui se forment lorsque deux ou plusieurs entreprises partenaires mettent une partie de leurs ressources au sein d’une organisation légale possédée conjointement, s’est multiplié. Parallèlement à cette prolifération, les déterminants de la performance des JVI ont retenu particulièrement l’attention des chercheurs. Dans le cadre de cette recherche, nous nous focalisons sur l’aspect de l’apprentissage organisationnel en le liant à l’efficacité organisationnelle des JVI.Nous avons développé notre cadre conceptuel en nous basant sur la théorie de l’apprentissage organisationnel, la théorie fondée sur les connaissances et des revues de la littérature. Ainsi, nous avons proposé un modèle et dix-neuf hypothèses de la recherche liés aux retours positifs de l’apprentissage organisationnel sur l’efficacité organisationnelle des JVI. Ceux-ci sont ensuite examinés empiriquement en utilisant la méthode PLS sur une base de données de 176 JVI du Vietnam. Les résultats empiriques ont montré le rôle indéniable de l’apprentissage organisationnel dans l’amélioration de l’efficacité organisationnelle des JVI.Principaux résultats de la recherche : (1) plus les connaissances sont acquises dans les JVI plus leur efficacité organisationnelle s’améliore ; (2) la qualité des relations entre les partenaires de la JVI explique bien et influence fortement la performance d’acquisition de connaissances ; (3) concernant la culture d’apprentissage organisationnel, les pratiques de l’apprentissage d’équipe ont été identifiées comme un élément central influençant directement la performance d’acquisition de connaissances. / Over the past 25 years, the number of International Joint Ventures (IJV), which are formed when two or more partner companies put their resources together in a jointly owned legal organization, has multiplied. Along with this proliferation, the determinants of the IJV performance have attracted particular attention from researchers. In this study, we focus on the aspect of organizational learning by linking it to the IJV organizational effectiveness.We have developed our conceptual framework based on the theory of organizational learning, knowledge-based theory and literature reviews. Thus, we have proposed a model with nineteen research hypotheses related to the positive impact of organizational learning on the IJV organizational effectiveness. Both the model and these hypotheses are then examined empirically using the PLS method on a database of 176 IJV in Vietnam. The results showed the undeniable role of organizational learning in improving the IJV organizational effectiveness.Key research findings : (1) the more knowledge acquired in the IJV, the more its organizational effectiveness improved; (2) the quality of relationships between the IJV partners explains well and strongly influences the performance of knowledge acquisition; and (3) on organizational learning culture, the practices of team learning have been identified as a key element influencing the performance of knowledge acquisition directly.

Throughout life, we continuously accumulate data, information and knowledge. The ability to recall much of this accumulated knowledge commonly deteriorates with time, though some forms part of what is referred to as tacit knowledge. In the context of education, students access and interact with a teacher’s knowledge in order to create their own, and may have their own data, information and knowledge that could be added to teacher’s knowledge for everyone’s benefit. The realization that students can contribute to enhancing personal knowledge is an important cornerstone in developing a mentor (teacher, tutor and facilitator) focused knowledge system. The research presented in this thesis discusses an integrated framework that manages an individual’s personal data, information and knowledge and enables it to be enhanced by others, in the context of a blended teaching and learning environment. Existing related models, structures, systems and current practices are discussed. The core outcomes of this thesis include: • the virtualMe framework that can be utilized when developing Web based teaching and learning systems; • the sniplet content model that can be used as the basis for sharing information and knowledge; • an annotation framework used to manage knowledge acquisition; and • a multimedia object (MMO) model that: o allows for related media artefacts to be intuitively grouped in a logical collection; o includes a meta-data schema that encompasses other metadata structures, and manages context and referencing; and o includes a model allowing component parts to be reaggregated if they are separated. The virtualMe framework provides the ability to retain context while transferring the content from one person to another and from one place to another. The framework retains the content’s original context and then allows the receiver to customise the content and metadata so that the content becomes that person’s knowledge. A mechanism has been created for such contextual transfer of content (context retained by the metadata).

<p>The thesis describes steps taken towards using graphic representation and visual modelling support for the knowledge acquisition process in knowledge-based systems – a process commonly regarded as difficult. The performance of the systems depends on the quality of the embedded knowledge, which makes the knowledge acquisition phase particularly significant. During the acquisition phase, a main obstacle to proper extraction of information is the absence of effective modelling techniques.</p><p>The contributions of the thesis are: introducing a methodology for user-centred knowledge modelling, enhancing transparency to support the modelling of content and of the reasoning strategy, incorporating conceptualisation to simplify the grasp of the contents and to support assimilation of the domain knowledge, and supplying a visual compositional logic programming language for adding and modifying functionality.</p><p>The user-centred knowledge acquisition model, proposed in this thesis, applies a combination of different approaches to knowledge modelling. The aim is to bridge the gap between the users (i.e., knowledge engineers, domain experts and end users) and the system in transferring knowledge, by supporting the users through graphics and visualisation. Visualisation supports the users by providing several different views of the contents of the system.</p><p>The Unified Modelling Language (UML) is employed as a modelling language. A benefit of utilising UML is that the knowledge base can be modified, and the reasoning strategy and the functionality can be changed directly in the model. To make the knowledge base more comprehensible and expressive, we incorporated visual conceptualisation into UML’s diagrams to describe the contents. Visual conceptualisation of the knowledge can also facilitate assimilation in a hypermedia system through visual libraries.</p><p>Visualisation of functionality is applied to a programming paradigm, namely relational programming, often employed in artificial intelligence systems. This approach employs Venn-Euler diagrams as a graphic interface to a compositional operator based relational programming language. </p><p>The concrete result of the research is the development of a graphic representation and visual modelling approach to support the knowledge acquisition process. This approach has been evaluated for two different knowledge bases, one built for hydropower development and river regulation and the other for diagnosing childhood diseases.</p>

The thesis describes steps taken towards using graphic representation and visual modelling support for the knowledge acquisition process in knowledge-based systems – a process commonly regarded as difficult. The performance of the systems depends on the quality of the embedded knowledge, which makes the knowledge acquisition phase particularly significant. During the acquisition phase, a main obstacle to proper extraction of information is the absence of effective modelling techniques. The contributions of the thesis are: introducing a methodology for user-centred knowledge modelling, enhancing transparency to support the modelling of content and of the reasoning strategy, incorporating conceptualisation to simplify the grasp of the contents and to support assimilation of the domain knowledge, and supplying a visual compositional logic programming language for adding and modifying functionality. The user-centred knowledge acquisition model, proposed in this thesis, applies a combination of different approaches to knowledge modelling. The aim is to bridge the gap between the users (i.e., knowledge engineers, domain experts and end users) and the system in transferring knowledge, by supporting the users through graphics and visualisation. Visualisation supports the users by providing several different views of the contents of the system. The Unified Modelling Language (UML) is employed as a modelling language. A benefit of utilising UML is that the knowledge base can be modified, and the reasoning strategy and the functionality can be changed directly in the model. To make the knowledge base more comprehensible and expressive, we incorporated visual conceptualisation into UML’s diagrams to describe the contents. Visual conceptualisation of the knowledge can also facilitate assimilation in a hypermedia system through visual libraries. Visualisation of functionality is applied to a programming paradigm, namely relational programming, often employed in artificial intelligence systems. This approach employs Venn-Euler diagrams as a graphic interface to a compositional operator based relational programming language. The concrete result of the research is the development of a graphic representation and visual modelling approach to support the knowledge acquisition process. This approach has been evaluated for two different knowledge bases, one built for hydropower development and river regulation and the other for diagnosing childhood diseases.

The main contributions of this thesis revolve around development of an integrated conversational recommendation system, combining data and information models with community network and interactions to leverage multi-modal information access. We have developed a real time conversational information access community agent that leverages community knowledge by pushing relevant recommendations to users of the community. The recommendations are delivered in the form of web resources, past conversation and people to connect to. The information agent (cobot, for community/ collaborative bot) monitors the community conversations, and is 'aware' of users' preferences by implicitly capturing their short term and long term knowledge models from conversations. The agent leverages from health and medical domain knowledge to extract concepts, associations and relationships between concepts; formulates queries for semantic search and provides socio-semantic recommendations in the conversation after applying various relevance filters to the candidate results. The agent also takes into account users' verbal intentions in conversations while making recommendation decision. One of the goals of this thesis is to develop an innovative approach to delivering relevant information using a combination of social networking, information aggregation, semantic search and recommendation techniques. The idea is to facilitate timely and relevant social information access by mixing past community specific conversational knowledge and web information access to recommend and connect users with relevant information. Language and interaction creates usable memories, useful for making decisions about what actions to take and what information to retain. Cobot leverages these interactions to maintain users' episodic and long term semantic models. The agent analyzes these memory structures to match and recommend users in conversations by matching with the contextual information need. The social feedback on the recommendations is registered in the system for the algorithms to promote community preferred, contextually relevant resources. The nodes of the semantic memory are frequent concepts extracted from user's interactions. The concepts are connected with associations that develop when concepts co-occur frequently. Over a period of time when the user participates in more interactions, new concepts are added to the semantic memory. Different conversational facets are matched with episodic memories and a spreading activation search on the semantic net is performed for generating the top candidate user recommendations for the conversation. The tying themes in this thesis revolve around informational and social aspects of a unified information access architecture that integrates semantic extraction and indexing with user modeling and recommendations.

製造業一直是台灣產業的強者，但隨著全球經濟發展，台灣製造業所獲毛利逐漸縮減以及服務業角色愈加重要之下，或許服務業所發展的「服務創新」，是拯救台灣低價值循環的一道解藥。過往國內外有關服務創新的研究，大都偏向於專案層次的探討，對於組織層級的著墨很少，其中有關「組織方式（Organizing）」的研究又更少。本研究認為組織方式的研究成果，可以使企業於發展服務創新的過程中，更知道如何有效地建構組織創新平台，以達到建立核心優勢與提升績效的目標。本研究以「組織設計」、「創新研發人力資源管理」、「新服務商品開發」與「外部知識取得」等四大構面為主軸，並針對國內在服務創新與服務力上表現優異的兩家企業－全家便利商店與王品集團，進行深入的個案研究。初步得到了以下的結論： (1)發展服務創新的企業，在組織設計上除了具有正式化的組織外，也會強調系統化的非正式組織，前者適合有形服務商品的開發，後者適合無形服務的發展。此外，因為服務的無形性，也會強調跨部門之間的互動與合作。 (2)發展服務創新的企業，在創新人力資源管理上，會特別著重於與接觸第一線顧客的員工之互動。在創新人力績效衡量方面，則會將顧客滿意度納入評核項目。 (3)發展服務創新的企業，在外部連結與知識取得上，會以開放式創新的概念積極向外獲取所需之技術知識與市場知識，並且讓顧客參與新服務的開發過程。 最後，本研究並提出實務上與後續研究上的建議。 / Taiwan's manufacturing industry has always been strong, but its gained profit margin has been gradually decreasing as the globlal competitition becomes fierce. On the other hand, the service industry plays a more important role than before in the economic development, and “service innovations” might become one of the key solutions to enhance the industrial added values and welfares. Most of the past researches related to service innovations are focused on the “project” level and very few studies are conducted at the “corporate” level, particulary concerning the issue of organizing. We believe the research results of organizing for service innovations can help enterprises set up a better organizational innovation platform in order to build core competence and to enhance performance. This study establishes a research framework with four major constructs: organizing, innovative human resources management, new service development process and external sourcing of knowledge and selects two innovative companies: the FamilyMart and WowPrime Group, for the case study in depth. Three major preliminary conclusions obtained from this study are as follows: (1)As far as organizaing for service innovation is concerned, the firm may use both formal and informal organization. The former one fits better for the tangible service products; and the latter one for intangible service products. Furthermore, the firm will emphasize the interdepartmental connection as the service itself is somewhat intangible per se. (2)As far as organizaing for service innovation is concerned, the firm will emphasize the interaction with the employees who have direct contacts with customers. Furthermore, the firm will include the customer satisfaction as one of the key performance indeices (KPI). (3)As far as organizaing for service innovation is concerned, the firm will actively acquire both of technical knowledge and market knowledge and will invite customers to participate in the development process of new services. Finally, this study draws some recommendations for both practititioners and follow-up researchers.