National cultural heritage institutions are charged with representative preservation of their countries’ cultural materials and the ways their staff undertake preservation activities impact to whom and how these materials are representative. Music is hailed as an integral part of a nation’s cultural heritage, but while aspects of its preservation are individually understood, their combined treatment in cultural institutions — music curation — and its ability to alter concepts of national identity are not. Consequently, we must ask how does music curation influence notions of national identity? By answering this question, this thesis seeks to contribute to our understanding of the ways that national cultural heritage institutions shape and promote a sense of national community. Since its beginning in 1800, the Library of Congress in Washington, D.C. has adopted several roles: a congressional resource; a copyright repository; a research centre; a hub for and leader in the library community; and cultural heritage institution. These combine to make the Library of Congress the de facto national library of the United States. However, these roles are not inherently congruent and in some instances undermine each other. Additionally, music has not always been easily integrated into its mission and its collections. Functioning as a national library, the Library of Congress potentially performs significant roles in the preservation and presentation of music, activities that make it an appropriate case study for investigating how music curation affects notions of national identity. Therefore, this work is structured in the following way: first, it offers an historical overview of the Library of Congress’ three music related departments — the Music Division, the American Folklife Center and the Recorded Sound component of the Motion Picture, Broadcast and Recorded Sound Division — to illuminate political, cultural and aesthetic forces that shaped their developments and their approaches to music curation. Second, it presents Howard Becker’s art world as the analytical framework by which this thesis critically engages narrative and identity theories. Third, employing the Library of Congress as a case study, it then investigates eight music curation narratives and juxtaposes them against its image as a cultural heritage institution. Narratives, gathered during semi-structured interviews and presented as interpretive stories, provide a focused insight into the tensions between staff and institution as well as institution and projected notions of national identity. In the context of music curation, this thesis’ conclusions illustrate a gap between the Library of Congress’ iconic image and its actual image, one that is perpetuated by its focus on research.

The problem of determining whether a document is about a loosely defined topic is at the core of text Information Retrieval (IR). An automatic IR system should be able to determine if a document is likely to convey information on a topic. In most cases, it has to do it solely based on measure- ments of the use of terms in the document (lexical measurements). In this work a novel scheme for measuring and representing lexical information from text documents is proposed. This scheme is inspired by the concept of ideal measurement as is described by Quantum Theory (QT). We apply it to Information Retrieval through formal analogies between text processing and physical measurements. The main contribution of this work is the development of a complete mathematical scheme to describe lexical measurements. These measurements encompass current ways of repre- senting text, but also completely new representation schemes for it. For example, this quantum-like representation includes logical features such as non-Boolean behaviour that has been suggested to be a fundamental issue when extracting information from natural language text. This scheme also provides a formal unification of logical, probabilistic and geometric approaches to the IR problem. From the concepts and structures in this scheme of lexical measurement, and using the principle of uncertain conditional, an “Aboutness Witness” is defined as a transformation that can detect docu- ments that are relevant to a query. Mathematical properties of the Aboutness Witness are described in detail and related to other concepts from Information Retrieval. A practical application of this concept is also developed for ad hoc retrieval tasks, and is evaluated with standard collections. Even though the introduction of the model instantiated here does not lead to substantial perfor- mance improvements, it is shown how it can be extended and improved, as well as how it can generate a whole range of radically new models and methodologies. This work opens a number of research possibilities both theoretical and experimental, like new representations for documents in Hilbert spaces or other forms, methodologies for term weighting to be used either within the proposed framework or independently, ways to extend existing methodologies, and a new range of operator-based methods for several tasks in IR.

Searching for information is a recurring problem that almost everyone has faced at some point. Being in a library looking for a book, searching through newspapers and magazines for an old article or searching through emails for an old conversation with a colleague are some examples of the searching activity. These are some of the many situations where someone; the “user”; has some vague idea of the information he is looking for; an “information need”; and is searching through a large number of documents, emails or articles; “information items”; to find the most “relevant” item for his purpose. In this thesis we study the problem of retrieving images from large image archives. We consider two different approaches for image retrieval. The first approach is content based image retrieval where the user is searching images using a query image. The second approach is semantic retrieval where the users expresses his query using keywords. We proposed a unified framework to treat both approaches using generative probabilistic models in order to rank and classify images with respect to user queries. The methodology presented in this Thesis is evaluated on a real image collection and compared against state of the art methods.

Music collections available to listeners have grown at a dramatic pace, now spanning tens of millions of tracks. Interacting with a music retrieval system can thus be overwhelming, with users offered ‘too-much-choice’. The level of engagement required for such retrieval interactions can be inappropriate, such as in mobile or multitasking contexts. Music recommender systems are widely employed to address this issue, however tend toward the opposite extreme of disempowering users and suffer from issues of subjectivity and confounds, such as the equalisation of tracks. This challenge and the styles of retrieval interaction involved are characterised in terms of user engagement in music retrieval, and the relationships between existing conceptualisations of user engagement is explored. Using listening histories and work from music psychology, a set of engagement-stratified profiles of listening behaviour are developed. A dataset comprising the playlists of thousands of users is used to contribute a user-centric approach to feature selection. The challenge of designing music retrieval for different levels of user engagement is first explored with a proof of concept, low engagement music retrieval system enabling users to casually retrieve music by tapping its rhythm as a query. The design methodology is then generalised with an engagement-dependent system, allowing users to denote their level of engagement and thus the specificity of their music queries. The engagement-dependent retrieval interaction is then explored as a component in a commercial music system. This thesis contributes the engagement-stratified profiles and metrics of listening behaviour, a corresponding design methodology for interaction, and presents a set of research and commercial applications for music retrieval.

This research examines the decision-making process of computer users with reference to deletion and preservation of digital objects. Of specific interest to this research is whether people provide different reasons for deleting or preserving various types of digital object dependant upon whether they are making such decisions at home or at work, whether such decisions are to any extent culturally determined, and whether they consider others in the course of making such decisions. This study considers the sociological implications of such decisions within organisations, and various psychological errors to be expected when such decisions are made. It analyses the reasons given for these decisions, within the contexts of home and work computing. It quantifies the frequency with which these activities are undertaken, the locations in which such objects are stored, and what aids the user in making such decisions. This research concludes that, while computer users generally desire their digital objects to be organised, they are not provided with adequate support from their computer systems in the decision to delete or preserve digital objects. It also concludes that such decisions are made without taking advantage of metadata, and these decisions are made for the same reasons both at home and at work: there is no discernible difference between the two contexts in terms of reasons given for such decisions. This study finds no correlation between subjects' culture and reasons given for deletion / preservation decisions, nor does it find any correlation between age and such reasons. This study further finds that users are generally averse to conforming to records management policies within the organisation. For archivists and records managers, this research will be of particular interest in its consideration of the usage of and attitudes towards records management systems. Specifically, in organisations possessing formal records management systems, this research investigates the frequency with which individuals violate records management procedures and why they consider such violations to be necessary or desirable. This research also argues towards a more proceduralised decision-making process on the part of the ordinary user and a deeper integration between records management systems and computer operating systems. Designers of formal information systems should consider this research for its implications regarding the way in which decisions are affected by the context in which those decisions are made. Information systems design may be best suited to understanding---and ameliorating---certain types of cognitive error such that users are enabled to make better deletion and preservation decisions. User interface designers are uniquely positioned to address certain cognitive errors simply by changing how information is presented; this research provides insight into just what those errors are and offers suggestions towards addressing them. For sociologists concerned with institutional memory, this research should be of interest because the deletion and preservation decisions of members of an organisation are those which shape the collection of digital artefacts available for study. Understanding the reasons for these decisions is likely to inform what interpretations can be drawn from the study of such collections. Also of interest to sociologists will be the variety of reasons given for deletion or preservation, as those reasons and decisions are what shape, to some extent, institutional memory.

Purpose: Computerised clinical decision support systems (CDSS) are implemented within healthcare settings as a method to improve clinical decision quality, safety and effectiveness, and ultimately patient outcomes. Though CDSSs tend to improve practitioner performance and clinical outcomes, relatively little is known about specific impact of inaccurate CDSS output on clinicians. Although there is high heterogeneity between CDSS types and studies, reviews of the ability of CDSS to prevent medication errors through incorrect decisions have generally been consistently positive, working by improving clinical judgement and decision making. However, it is known that the occasional incorrect advice given may tempt users to reverse a correct decision, and thus introduce new errors. These systematic errors can stem from Automation Bias (AB), an effect which has had little investigation within the healthcare field, where users have a tendency to use automated advice heuristically. Research is required to assess the rate of AB, identify factors and situations involved in overreliance and propose says to mitigate risk and refine the appropriate usage of CDSS; this can provide information to promote awareness of the effect, and ensure the maximisation of the impact of benefits gained from the implementation of CDSS. Background: A broader literature review was carried out coupled with a systematic review of studies investigating the impact of automated decision support on user decisions over various clinical and non-clinical domains. This aimed to identify gaps in the literature and build an evidence-based model of reliance on Decision Support Systems (DSS), particularly a bias towards over-using automation. The literature review and systematic review revealed a number of postulates - that CDSS are socio-technical systems, and that factors involved in CDSS misuse can vary from overarching social or cultural factors, individual cognitive variables to more specific technology design issues. However, the systematic review revealed there is a paucity of deliberate empirical evidence for this effect. The reviews identified the variables involved in automation bias to develop a conceptual model of overreliance, the initial development of an ontology for AB, and ultimately inform an empirical study to investigate persuasive potential factors involved: task difficulty, time pressure, CDSS trust, decision confidence, CDSS experience and clinical experience. The domain of primary care prescribing was chosen within which to carry out an empirical study, due to the evidence supporting CDSS usefulness in prescribing, and the high rate of prescribing error. Empirical Study Methodology: Twenty simulated prescribing scenarios with associated correct and incorrect answers were developed and validated by prescribing experts. An online Clinical Decision Support Simulator was used to display scenarios to users. NHS General Practitioners (GPs) were contacted via emails through associates of the Centre for Health Informatics, and through a healthcare mailing list company. Twenty-six GPs participated in the empirical study. The study was designed so each participant viewed and gave prescriptions for 20 prescribing scenarios, 10 coded as “hard” and 10 coded as “medium” prescribing scenarios (N = 520 prescribing cases were answered overall). Scenarios were accompanied by correct advice 70% of the time, and incorrect advice 30% of the time (in equal proportions in either task difficulty condition). Both the order of scenario presentation and the correct/incorrect nature of advice were randomised to prevent order effects. The planned time pressure condition was dropped due to low response rate. Results: To compare with previous literature which took overall decisions into account, taking individual cases into account (N=520), the pre advice accuracy rate of the clinicians was 50.4%, which improved to 58.3% post advice. The CDSS improved the decision accuracy in 13.1% of prescribing cases. The rate of AB, as measured by decision switches from correct pre advice, to incorrect post advice was 5.2% of all cases at a CDSS accuracy rate of 70% - leading to a net improvement of 8%. However, the above by-case type of analysis may not enable generalisation of results (but illustrates rates in this specific situation); individual participant differences must be taken into account. By participant (N = 26) when advice was correct, decisions were more likely to be switched to a correct prescription, when advice was incorrect decisions were more likely to be switched to an incorrect prescription. There was a significant correlation between decision switching and AB error. By participant, more immediate factors such as trust in the specific CDSS, decision confidence, and task difficulty influenced rate of decision switching. Lower clinical experience was associated with more decision switching (but not higher AB rate). The rate of AB was somewhat problematic to analyse due to low number of instances – the effect could potentially have been greater. The between subjects effect of time pressure could not be investigated due to low response rate. Age, DSS experience and trust in CDSS generally were not significantly associated with decision switching. Conclusion: There is a gap in the current literature investigating inappropriate CDSS use, but the general literature supports an interactive multi-factorial aetiology for automation misuse. Automation bias is a consistent effect with various potential direct and indirect causal factors. It may be mitigated by altering advice characteristics to aid clinicians’ awareness of advice correctness and support their own informed judgement – this needs further empirical investigation. Users’ own clinical judgement must always be maintained, and systems should not be followed unquestioningly.

The thesis focussed on the need to understand the nature of design processes in innovative, multi-domain, organisational information systems design. A cross-disciplinary, interpretive investigation of organisational IS design was based upon multiple literatures: information system development and methodologies, human-computer interaction, situated action, social psychology, psychology of programming, computer-supported co-operative work, computer science, design 'rationale' and organisational behaviour. Three studies were performed: 1. A case study of a user-centred design project, employing grounded theory analysis. 2. A postal survey of IS development approaches in large UK companies. 3. A longitudinal field study, involving participant observation over a period of 18 months in a cross-domain design team, employing ethnography, discourse analysis and hermeneutics. The main contributions of this research were to provide rich insights into the interior nature of IS design activity, situated in the context of the organisation (a perspective which is largely missing from the literature); to provide conceptual models to explain the management of meaning in design, and design framing activity; to produce a social action model of organisational information system development which may form the basis for communicating the situated nature of design in teaching; and to suggest elements of a process model of design activity in multi-domain, organisational information system development. The implications of the research findings for IS managers and developers are also considered a significant contribution to practice. Detailed findings from these studies relate to: I. Disparities between the technology-centred view of organisational IS development found in the literature and the business and organisation-based approaches reported in the survey. 2. The role of pre-existing 'investment in form' in shaping the meaning of design processes and outcomes for other team members and its implications for the management of expertise and for achieving double-loop leaming. 3. The detailed processes by which design is framed at individual and group levels of analysis. These findings indicated a mismatch between "top down" models of organisational IS design and observed design "abstraction" processes, which were grounded in concrete analogies and local exemplars; this finding has significant implications for organisational design approaches, such as Business Process Redesign. 4. The distributed nature of group design, which has implications for achieving a 'common vision' of the design and for the division of labour in design groups. Intersubjectivity with respect to process objectives may be more critical to design success than intersubjectivity with respect to the products of design. - 5. The political nature of design activity: it was concluded that an effective design process must manage conflict between the exploration of organisational possibilities and influential, external stakeholders' expectations of efficiency benefits. 6. Design suffers from legitimacy problems related to the investigation of a "grey area" between explicit system design goals and boundary and emergent definitions of design goals and target system boundaries; this issue needs to be managed both internally to the design-team and externally, in respect of stakeholders and influential decision-makers. It is argued that the situated nature of design requires the teaching of design skills to be achieved through simulated design contexts, rather than the communication of abstract models. It is also suggested that the findings of this thesis have implications for knowledge management and organisational innovation. If organisational problem-investigation processes are seen as involving distributed knowledge, then the focus of organisational learning and innovation shifts from sharing organisational knowledge to accessing distributed organisational knowledge which is emergent and incomplete.

The findings of this multi-site study emphasise the importance of Organisational Culture for integrating clinical information systems into intensive care units. A novel model, the Iterative Systems Integration Model, has two principle components, these being Organisational Culture and the Actual Usefulness of the clinical information system. The model is derived from empirical data collected in four intensive care sites in England and Denmark, with one site being used to validate the model. The model highlights clinical information systems as directly affecting the work processes of the sites investigated, which in turn affect the Organisational Culture and Actual Usefulness of the clinical information system used, and these features affect clinical information system integration. This forms an iterative process of change as clinical information systems are introduced and integrated. Intensive care units are complex organisations, with complex needs and work processes. The impact of clinical information systems on these work processes is investigated in this thesis using Role Activity Diagrams. These diagrams are analysed to show that although clinical work processes are consistent at each site, the information processes differ. Intensive care information processes are found to have the potential to be much simplified with the introduction of seamless clinical information systems. Qualitative data collectio n methods were deployed, i. e., observations, interviews, and shadowing of clinical staff, together with a questionnaire at each site for further validation. Data were analysed using grounded theory to extract salient variables, which informed the development of the model. These factors were indicative of the Organisational Culture of the sites investigated and the Actual Useftilness of the clinical information systems being used. It was posited that clinical information systems that reconcile expectations of both hospital management and clinical staff - and that have the potential to adapt to their organisational environment - have a greater chance of surviving in complex environments such as intensive care. Despite decades of Health Infon-flatics, no such systems exist in their entirety; this research shows that 'ancient problems' of clinical information systems integration are still prevalent, and presents the Iterative Systems Integration Model, the application of which may assist with the integration of clinical information systems in intensive care.

Knowledge management (KM) is an emerging discipline that promises to capitalize on organizations intellectual capital. KM refers to the process of managing the life-cycle of knowledge relevant to areas that are mission critical to the organization. This includes efforts to capture, store, and deploy knowledge using a combination of information technology and business processes. In recent years, KM has become a critical subject of discussion in the business literature. Both business and academic communities believe that by leveraging knowledge, an organization can sustain its long-term competitive advantage. Approaches to KM varied form emphasizing the capabilities of information and communication technologies to the focus on social systems such as employee training and motivation. Engineering organizations led the way in KM initiatives realizing the potential of successful KM implementation in decreasing production time and cost, increasing quality, making better decisions as well as improve organizations' performance and provide a competitive advantage. Although some engineering organizations reported early KM success, other organizations have tried and failed to implement KM. These failures have been linked to the lack of a generally accepted framework and methodology to guide successful implementation of KM in organizations. This primary aim of this research is to produce a model for a successful implementation of KM in engineering organizations which integrates the various approaches and key factors to implementing KM. The study has produced a model which provides a framework that identifies the different types of knowledge available in engineering organizations, the KM life-cycle which is needed to manage this knowledge, and the key factors that facilitate this process. The model also provides management with guidance for implementing KM in their organizations. In order to achieve the aims and objectives of this research, a triangulation nonexperimental approach is adopted using qualitative in-depth case study with triangulation of data collection methods that uses observation, structured interviews, unstructured interviews, historical data collection, and document review. This is followed by a quantitative approach with the use of a questionnaire to further validate and generalize the proposed KM model. In building the KM model a thorough review of previous related literature from different disciplines was conducted. The literature reviewed included various issues relating to KM, such as KM approaches, perspectives, frameworks, and methodologies as well as strategic planning, human resources, instructional design theories, organizational learning, information technology, etc.

Unrestricted accessible scholarly resources are increasingly considered essential to knowledge creation and socio-economic development. In order to facilitate this, university libraries at National Research Universities (NRUs) in Thailand have established institutional repositories (IRs). The development of the Open Access publishing movement also provides opportunities and challenges to NRUs’ IRs and scholarly community. Like others, the IR projects in Thailand have experienced low awareness and content contribution from stakeholders. Accordingly, this study aims to optimize the established IR projects in NRUs in Thailand by exploring the stakeholders’ research publishing behaviour, and the perception, participation, and utilisation of IRs. This study advances the understanding of IRs in NRUs in Thailand from the perspectives of multiple stakeholder groups. This inductive qualitative study employs Constructivist Grounded Theory as a research methodology. Theoretical sampling, convenient sampling, and purposive sampling were used to recruit key participants in Thai scholarly communication at three NRUs. An in-depth semi-structured interview method was used to collect data and Charmaz’s Grounded Theory Method of Open coding and Focused coding was used to analyse it. The analysis resulted in the generation of the 4Cs (/foresee/) Model for the Development of University-based IRs. It composes of “Communication” “Collaboration”, “Copyright understanding”, “Control” and “Local academic culture”. This innovative model provides an explanatory framework identifying the factors for the availability and accessibility of full-text digital research publications in Thai university-based IRs. Moreover, the 3Rs – Rethinking, Redefining, and Re-collaborating- are recommended as key activities to be considered when confronting the difficulties in the development of IRs. In addition, this study also proposes the “2PSC model for operational excellence – Policies, Procedure, Services, and Competencies” as a practical and effective mechanism for managing IRs. Further, the study offers theoretical, methodological, and empirical contributions to the understanding of IRs in NRUs in Thailand from the perspectives of multiple stakeholder groups.