Thesis (MAppSc Project Man) -- University of South Australia, 1993

This research makes a significant contribution to existing information quality management theory by identifying a large number of relevant maturity indicators and mapping them to a staged evolutionary capability maturity model. The final product is a set of evaluation tools and methodologies, which are intended to assist with the identification of problems in information management as well as information quality management practices. Thus, IQM-CMM may provide organisations with a measure of their maturity in information quality management, along with recommendations for increasing the level of maturity. This may result in enhanced information quality, organisational learning and decision making.

The applications of geographic information systems (GIS) in various areas have highlighted the importance of data quality. Data quality research has been given a priority by GIS academics for three decades. However, the outcomes of data quality research have not been sufficiently translated into practical applications. Users still need a GIS capable of storing, managing and manipulating data quality information. To fill this gap, this research aims to investigate how we can develop a tool that effectively and efficiently manages data quality information to aid data users to better understand and assess the quality of their GIS outputs. Specifically, this thesis aims: 1. To develop a framework for establishing a systematic linkage between data quality indicators and appropriate uncertainty models; 2. To propose an object-oriented data quality model for organising and documenting data quality information; 3. To create data quality schemas for defining and storing the contents of metadata databases; 4. To develop a new conceptual model of data quality management; 5. To develop and implement a prototype system for enhancing the capability of data quality management in commercial GIS. Based on reviews of error and uncertainty modelling in the literature, a conceptual framework has been developed to establish the systematic linkage between data quality elements and appropriate error and uncertainty models. To overcome the limitations identified in the review and satisfy a series of requirements for representing data quality, a new object-oriented data quality model has been proposed. It enables data quality information to be documented and stored in a multi-level structure and to be integrally linked with spatial data to allow access, processing and graphic visualisation. The conceptual model for data quality management is proposed where a data quality storage model, uncertainty models and visualisation methods are three basic components. This model establishes the processes involved when managing data quality, emphasising on the integration of uncertainty modelling and visualisation techniques. The above studies lay the theoretical foundations for the development of a prototype system with the ability to manage data quality. Object-oriented approach, database technology and programming technology have been integrated to design and implement the prototype system within the ESRI ArcGIS software. The object-oriented approach allows the prototype to be developed in a more flexible and easily maintained manner. The prototype allows users to browse and access data quality information at different levels. Moreover, a set of error and uncertainty models are embedded within the system. With the prototype, data quality elements can be extracted from the database and automatically linked with the appropriate error and uncertainty models, as well as with their implications in the form of simple maps. This function results in proposing a set of different uncertainty models for users to choose for assessing how uncertainty inherent in the data can affect their specific application. It will significantly increase the users' confidence in using data for a particular situation. To demonstrate the enhanced capability of the prototype, the system has been tested against the real data. The implementation has shown that the prototype can efficiently assist data users, especially non-expert users, to better understand data quality and utilise it in a more practical way. The methodologies and approaches for managing quality information presented in this thesis should serve as an impetus for supporting further research.

This research makes a significant contribution to existing information quality management theory by identifying a large number of relevant maturity indicators and mapping them to a staged evolutionary capability maturity model. The final product is a set of evaluation tools and methodologies, which are intended to assist with the identification of problems in information management as well as information quality management practices. Thus, IQM-CMM may provide organisations with a measure of their maturity in information quality management, along with recommendations for increasing the level of maturity. This may result in enhanced information quality, organisational learning and decision making.

This research makes a significant contribution to existing information quality management theory by identifying a large number of relevant maturity indicators and mapping them to a staged evolutionary capability maturity model. The final product is a set of evaluation tools and methodologies, which are intended to assist with the identification of problems in information management as well as information quality management practices. Thus, IQM-CMM may provide organisations with a measure of their maturity in information quality management, along with recommendations for increasing the level of maturity. This may result in enhanced information quality, organisational learning and decision making.

University of Technology, Sydney. / This overall objective of this research was to identify factors that were important in forming middle managers' attitudes toward quality and quality programs in their organisations. An underlying assumption of the research, supported by the literature, was that a middle manager's attitude toward his/her quality program could be an important indicator of behaviour toward the program e.g. resistance, willingness to be involved. Reviews of the literature on middle management, quality, attitude measurement and research more specifically related to the research topic was undertaken. The work of Ajzen (1988) was particularly useful in devising an overall theoretical framework for the research . A number of hypotheses related to the overall research question were formulated. Twenty-one organisations agreed to participate in the research. These all had a quality program. Some of the organisations were quite advanced in quality, a number had won Australian Quality Awards, others were much less advanced. Organisations were drawn from manufacturing and services in both private and public sectors. Data was collected in two main ways. Firstly, a questionnaire was designed, piloted and distributed to approximately 1100 middle managers in participating organisations. The response rate was approximately 50%. Secondly, in depth interviews were carried out with middle managers, senior managers and quality managers in a number of the participating organisations. The results generally confirm the importance of the middle management group as key to the success of a quality program. Middle managers across all of the participating organisations generally believed that the TQM approach to management was an effective one. Their views on the effectiveness of IS09000 were less positive. Middle managers generally believed that the quality programs were more likely to benefit their organisations rather than to directly benefit themselves, although quality programs did provide some opportunities for some middle managers. Middle managers generally believed that their quality programs provided both operational and strategic benefit for their organisations. Paradoxically, a widely held belief among middle managers was that quality programs did not reduce short term thinking and over-reacting to short term goals. Positive attitudes to quality in the organisation were associated particularly with the values and beliefs that middle managers held regarding: a) program support from top management, from their direct boss and from their colleagues; b) a range of program outcomes for the organisation and c) a range of program outcomes related to the individual middle manager. For middle managers actively involved in their organisations quality program the clarity of their program role was positively related to program attitudes. Training/education in quality was also significantly related to some beliefs and attitudes towards quality and quality programs. Middle managers generally believed that quality programs involved a significant increase in paper work and bureaucracy. However this was not a significant influence on their attitudes toward quality in their organisations. An important finding was that for a wide range of beliefs and attitudes related to quality no significant differences were found between the types of jobs held by middle managers. An exception was the quality specialist group who generally had significantly more positive attitudes and beliefs about quality and their quality programs than did other job categories. Middle managers seemed relatively at ease with most of the changes that were taking place as part of their programs. In particular they had relatively positive views on devolution of responsibility to lower level employees. Middle managers also seemed relatively at ease with their own performance being more tightly monitored with program implementation. The research supported the more optimistic view of middle Management that has been reported recently (e.g. Fenton-O'Creevy 1998). The notion of the middle management still had currency in all of the organisations participating in the research despite the many structural changes that had taken place.

Portfolio includes: paper 1. A literature review on total quality management in small and medium sized enterprises -- paper 2. Critical success factors for TQM implementation in Thailand: an empirical examination on SMEs -- paper 3. A framework of TQM implementation for small and medium sized enterprises: the case of Thailand's manufacturing industries.

The applications of geographic information systems (GIS) in various areas have highlighted the importance of data quality. Data quality research has been given a priority by GIS academics for three decades. However, the outcomes of data quality research have not been sufficiently translated into practical applications. Users still need a GIS capable of storing, managing and manipulating data quality information. To fill this gap, this research aims to investigate how we can develop a tool that effectively and efficiently manages data quality information to aid data users to better understand and assess the quality of their GIS outputs. Specifically, this thesis aims: 1. To develop a framework for establishing a systematic linkage between data quality indicators and appropriate uncertainty models; 2. To propose an object-oriented data quality model for organising and documenting data quality information; 3. To create data quality schemas for defining and storing the contents of metadata databases; 4. To develop a new conceptual model of data quality management; 5. To develop and implement a prototype system for enhancing the capability of data quality management in commercial GIS. Based on reviews of error and uncertainty modelling in the literature, a conceptual framework has been developed to establish the systematic linkage between data quality elements and appropriate error and uncertainty models. To overcome the limitations identified in the review and satisfy a series of requirements for representing data quality, a new object-oriented data quality model has been proposed. It enables data quality information to be documented and stored in a multi-level structure and to be integrally linked with spatial data to allow access, processing and graphic visualisation. The conceptual model for data quality management is proposed where a data quality storage model, uncertainty models and visualisation methods are three basic components. This model establishes the processes involved when managing data quality, emphasising on the integration of uncertainty modelling and visualisation techniques. The above studies lay the theoretical foundations for the development of a prototype system with the ability to manage data quality. Object-oriented approach, database technology and programming technology have been integrated to design and implement the prototype system within the ESRI ArcGIS software. The object-oriented approach allows the prototype to be developed in a more flexible and easily maintained manner. The prototype allows users to browse and access data quality information at different levels. Moreover, a set of error and uncertainty models are embedded within the system. With the prototype, data quality elements can be extracted from the database and automatically linked with the appropriate error and uncertainty models, as well as with their implications in the form of simple maps. This function results in proposing a set of different uncertainty models for users to choose for assessing how uncertainty inherent in the data can affect their specific application. It will significantly increase the users' confidence in using data for a particular situation. To demonstrate the enhanced capability of the prototype, the system has been tested against the real data. The implementation has shown that the prototype can efficiently assist data users, especially non-expert users, to better understand data quality and utilise it in a more practical way. The methodologies and approaches for managing quality information presented in this thesis should serve as an impetus for supporting further research.

Thesis (Ph. D. - Agricultural and Biosystems Engineering) / Includes bibliographical references (leaves 129-137).

Thesis (M.S. - Wildlife Management)--University of Arizona. / Includes bibliographical references (leaves 120-124).