Building on the development of a research agenda, the research used best practices in the UK and other developed countries to design the aims and objectives from which the methods were developed. Based on the research agenda, trends in household behaviour in Cameroon were examined in order to identify, and generate baseline information to provide a sound evidence base essential for robust policy development in education, capacity building in composting involving the third sector organizations in Cameroon. To determine attitudes, Q methodology was used. Factor analysis produced nine and eight factors representing distinct behavioural patterns of public concerns, opinions and beliefs in household waste management in Douala and Limbe. Interpreting these factors revealed 12 attitudes to household waste management practices and this will be used to design strategies. A waste composition analysis found the organic fraction >60% with the lowest per capita waste generation (0.86 kg) in the high income residential area (HIRA) and the highest (1.38 kg) in the low income residential area (LIRA) of Douala in the wet season. In the dry season, the medium income residential area (MIRA) had the highest (1.11 kg) with the lowest (0.71 kg) in the HIRA. For both seasons in Limbe, HIRA had the highest while the LIRA had the lowest. Pearson correlation and regression was used to show the relationship between waste generation and household size. The research determined barriers and success factors for composting as part of a strategy. Barriers included household hazardous waste (HHW) and odour at composting sites because more than 50% of the composted waste was food waste with high humidity especially in the wet season. This affected public acceptance to composting. A success factor is that the market for compost is increasing and is expected to increase to 30% by 2013. Added to this, more than 50% of the participating households showed positive intentions and willingness to composting. Hence, composting is expected to be a major economic activity for Cameroonians and become a national practice

Atmospheric dispersion models are being increasingly used by local authorities in the United Kingdom as part of their urban air quality management programmes. Output from dispersion models now forms a vital part of any environmental impact assessment, road improvement or traffic management scheme or environmental health study. This study is centred primarily on Northampton, a county town in Southern England and is concerned with the limitations of meteorological data available to local authorities. The first part of the study investigates the variation in certain key meteorological parameters both within Northampton and between synoptic stations up to 70 kilometres away. The second part examines modelling outcomes using different sets of meteorological data and evaluates the performance of an urban dispersion model in relation to monitored air quality data. Special emphasis is placed on the use of cloud cover as a meteorological input variable. A small case study of monitoring and modelling work carried out in the London Borough of Richmond is also presented

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Waste Strategy 2000 (Waste Strategy for England and Wales) as well as the Waste Strategy for England 2007 laid out a fairly conservative agenda for the future of waste management in England as it responded to the developing EU Legislative drive for sustainable practice. A careful analysis of the Strategy, in around 2001, whereby likely future delivery was compared to EU requirements revealed that the UK (being disaggregated into 4 separate strategies) was unlikely to meet targets, in particular the Landfill Directive. The production of the Strategy Unit report Waste Not Want Not (2002) signalled up the requirement for a rapid increase in the rate of adoption of more sustainable practice. The result was the formation of the Waste Implementation Programme (WIP) in Defra, with its initial 8 streams of activity, including waste minimisation / prevention and pro-environmental behaviour. This research agenda approaches the topic from considering the requirements of a Regional Waste Management Strategy and in particular the knowledge requirements of a Regional Technology Advisory Board (RTAB) in developing waste strategy for the East Midlands. Firstly, starting with an extensive literature review to ascertain current practice, and based on rigorous methods and methodology the research investigated household waste prevention activities and developed techniques to measure impacts of individual and aggregated waste prevention. This research revealed a significant drop in the volume of waste arisings in a pilot area, indicating that it is possible to reduce household waste with a well designed campaign. Secondly, to support the research, Q methodology was used to identify issues of concern for designing waste prevention campaigns. Thirdly, a case study of Northamptonshire to identify potential suitable areas for siting of waste management facilities, using GIS tools, so as to identify possible target areas for future public information campaigns was developed.

This research provides the first thorough investigation into, and analysis of, the literature on e-government metrics and has opened up the topic and literature to the practitioner community. The research focuses on English local government, in response to what the researcher had experienced as haphazard implementation of e-government. Supplementary explorations included official and unofficial reasons for the adoption of e-government, along with the role of politics and Politics – local, national and international. Until this research, the main focus for e-government measurement had been on targets or large and complex analyses suitable only for central government. Instead, this research proposes parsimonious measurement. Such measurement, reliant upon collating citizen feedback across delivery channels, will assist improvement to services and assist channel migration. This had never been examined before. Since the subject of the research was electronic government, an action research methodology was employed, using electronic research instruments to deliver surveys, provide survey results and to house research models and background. The researcher is a practitioner within the field, so the instruments were designed to cross-fertilize the academic and practitioner thinking on the subject. It is expected that the research tool, in the form of the weblog, will continue (in the longer term) to assist professionals in debating the use of metrics. Ongoing research will continue to stretch across the academic and practitioner boundaries. This research makes original contributions to knowledge by revealing the most appropriate mechanism for the management and use of e-government, amongst other mechanisms for service delivery in the public sector, especially considering smaller authorities.

Analysing human creativity has always been a difficult undertaking. The reason for this is the vagueness of the term creativity itself. Philosophers and Researchers have tried to unveil the secrets behind creativity since centuries. Besides some principles e.g. defined by Finke, Ward, and Smith, there is no holistic understanding about term creativity and there will always be discussions between researchers of different disciplines about how creativity is achieved. Current approaches try to understand creativity through studying the creative artifact or the creative human himself. These approaches have not lead to any promising results. Instead of focussing on creativity itself, it is more promising to look at the creative process of creators. Through this, it is possible to analyse what happened during the creation of an artefact. The aim of the analysis is the identification of certain behaviours within the creative process, which lead to very creative results or in opposite hinder creativity. The gained knowledge is used for the creation of patterns, describing this specific behaviour. The analysis of the creative process is not only interesting for artists, but also for engineers, researchers, students and many others. Important target groups for this approach are schools and universities. Being able to early recognise problems in the learning curve of a student will enable a directed support, in order to improve the student's performance. Until now, the main problem for analysing the creative process of a creator is the lack of information on how an artefact was created. Most creators tend not to make many notes during their creative phase, even if there are famous exemptions like Beethoven who left behind a huge amount of notices and marked changes in his work. Hence, the challenge is the development of a powerful framework, which can cope effectively with the recording and presentation of this creative process, in order to enable detailed analyses. Modern computer technology fosters the recording of the creative process of a person. Much of today's creative work is achieved with computers and powerful software applications. Computer networks and the internet enable new ways of collaboration. The creation of a flexible, collaborative tool-set is the ideal approach for the mapping and analysis of the creative process. A novel approach, based on these ideas, was developed by the members of the Creative Technologies Research Programme at the Software Technology Research Laboratory (STRL). The central aim of the approach is the mapping of the human creativity with so-called creativity maps. A creativity map is basically transition system, which allows to store and represent the creative process as well as to hold each version of the artefact. The developed De Montfort Creativity Assistant (DMCA), is a collaborative, web-enabled state-of-the-art software framework, realising the theoretical concepts. This thesis represents a substantial contribution to the research project. The focus of the presented work lies on the analysis and the support of the creative process. Several novel techniques for the analysis of massive data sets have been developed. The presented techniques enable a domain-independent analysis and support of the creative process. This is huge improvement over previous concepts, which are highly specialised and focus on the creative artefact itself. The presented approach required the development of several novel techniques. The major contributions of the presented research are: - Behavioural Patterns Enable the description of constructs inside the creativity map. These constructs represent the creative behaviour of the creator. - Techniques for a Computer-supported Information Extraction A pattern description language enables the computer-supported information extraction from creativity maps. - Knowledge Repository Knowledge, gained through the analysis processes, is stored centrally and shared with other creators in order to stimulate further growing of knowledge. - Concepts for the Analysis and Support of the Creative Process Novel concepts allow the structured analysis and support of the creative process, regardless of the creator's domain. All developed techniques have been implemented in several tools, which aim to enrich the DMCA with the ability of a computer-supported analysis and support of the creative process.

Enterprises can be empowered to live up to the potential of becoming dynamic, agile and real-time. Service orientation is emerging from the amalgamation of a number of key business, technology and cultural developments. Three essential trends in particular are coming together to create a new revolutionary breed of enterprise, the service-oriented enterprise (SOE): (1) the continuous performance management of the enterprise; (2) the emergence of business process management; and (3) advances in the standards-based service-oriented infrastructures. This thesis focuses on this emerging three-layered architecture that builds on a service-oriented architecture framework, with a process layer that brings technology and business together, and a corporate performance layer that continually monitors and improves the performance indicators of global enterprises provides a novel framework for the business context in which to apply the important technical idea of service orientation and moves it from being an interesting tool for engineers to a vehicle for business managers to fundamentally improve their businesses.

Database integration is one of the research areas that have gained a lot of attention from researcher. It has the goal of representing the data from different database sources in one unified form. To reach database integration we have to face two obstacles. The first one is the distribution of data, and the second is the heterogeneity. The Web ensures addressing the distribution problem, and for the case of heterogeneity there are many approaches that can be used to solve the database integration problem, such as data warehouse and federated databases. The problem in these two approaches is the lack of semantics. Therefore, our approach exploits the Semantic Web methodology. The hybrid ontology method can be facilitated in solving the database integration problem. In this method two elements are available; the source (database) and the domain ontology, however, the local ontology is missing. In fact, to ensure the success of this method the local ontologies should be produced. Our approach obtains the semantics from the logical model of database to generate local ontology. Then, the validation and the enhancement can be acquired from the semantics obtained from the conceptual model of the database. Now, our approach can be applied in the generation phase and the validation-enrichment phase. In the generation phase in our approach, we utilise the reverse engineering techniques in order to catch the semantics hidden in the SQL language. Then, the approach reproduces the logical model of the database. Finally, our transformation system will be applied to generate an ontology. In our transformation system, all the concepts of classes, relationships and axioms will be generated. Firstly, the process of class creation contains many rules participating together to produce classes. Our unique rules succeeded in solving problems such as fragmentation and hierarchy. Also, our rules eliminate the superfluous classes of multi-valued attribute relation as well as taking care of neglected cases such as: relationships with additional attributes. The final class creation rule is for generic relation cases. The rules of the relationship between concepts are generated with eliminating the relationships between integrated concepts. Finally, there are many rules that consider the relationship and the attributes constraints which should be transformed to axioms in the ontological model. The formal rules of our approach are domain independent; also, it produces a generic ontology that is not restricted to a specific ontology language. The rules consider the gap between the database model and the ontological model. Therefore, some database constructs would not have an equivalent in the ontological model. The second phase consists of the validation and the enrichment processes. The best way to validate the transformation result is to facilitate the semantics obtained from the conceptual model of the database. In the validation phase, the domain expert captures the missing or the superfluous concepts (classes or relationships). In the enrichment phase, the generalisation method can be applied to classes that share common attributes. Also, the concepts of complex or composite attributes can be represented as classes. We implement the transformation system by a tool called SQL2OWL in order to show the correctness and the functionally of our approach. The evaluation of our system showed the success of our proposed approach. The evaluation goes through many techniques. Firstly, a comparative study is held between the results produced by our approach and the similar approaches. The second evaluation technique is the weighting score system which specify the criteria that affect the transformation system. The final evaluation technique is the score scheme. We consider the quality of the transformation system by applying the compliance measure in order to show the strength of our approach compared to the existing approaches. Finally the measures of success that our approach considered are the system scalability and the completeness.

E-Government is the use of information technology particularly web applications to deliver convenient services for citizens, business and government. Governments worldwide spend billions of their budgets in order to deliver convenient electronic services to their citizens. There are two important points; government offers online services, and citizens consume these services. In order to maximize the benefits of these projects and to avoid possible failures, the gap between these points should be addressed. Yet there are few empirical studies that have covered the relevant issues of adoption from the citizen perspective in developing countries. This research study investigates citizens’ acceptance of e-government services in the context of Saudi Arabia. It posits an integrated model of the key elements that influence citizens’ adoption of e-government. The framework includes a combination of attitudinal, social, control and trust factors as well as the influence of gender. The model is validated by surveying 533 citizens and utilising the structural equation modeling technique for data analysis. Findings show that both measurement and structural models exhibit good model fit to data. The study shows that all constructs satisfy the criteria of constructs reliability and convergent and discriminant validity. The paths estimations show that of the sixteen designed casual relationships, eleven paths relationships were found to be significant while the other five paths remained unsupported.

This thesis explores the use of avatars with facial expressions in social media and e-journalism communication interfaces. This thesis involved three experimental conditions. In the first experimental condition a survey (n=34) and an experiment (n=25) were carried out in order to explore the central problems faced by users during adding and retrieving comments and methods to overcome those problems. The survey intended to find out the position users took towards these metaphors. 25users from the Aljazeera Channel in Doha, Qatar took part. The first experimental condition consisted of two interfaces, TARCS (traditional adding and retrieving comments system) and CMARCS (classification multimodal adding and retrieving comments system). This was carried out in order to assess users' perception of unique text with graphic classification and multimodal in an EARCS (electronic adding and retrieving comments system) interface in the presence and absence of an interactive context. This was implemented in order to assess the role of these unique classification interfaces in a news comment in the term of usability. In the second experiment, forty users evaluated the use of the VARCS (visual adding and retrieving comments system) and MMARCS (multimodal adding and retrieving comments system). Both interfaces evaluated the effect on public opinion as media study and effectiveness, interactivity and user satisfaction in HCI studies. The third experimental condition consisted of one study that investigated the impactbility and usability of facial expressions compared text with graphic and multimodal metaphors. Sixty six users from Al-Arabiya Channel in Dubai, UEA took part in these two experiments. The results obtained show that users had some problems with adding and retrieving comments in social media such as missing data and lack of organisation. Also, the new classification performed better and faster under an interface that implemented avatars with specific facial expressions compared to a textual interface and multimodal. Practical guidelines were also introduced to provide assistance to multimedia designers who use avatars with facial expressions in e-journalism interactive systems as well as its impact on the public opinion.