Thesis (Ph. D.)--University of Texas at Austin, 2006. / Vita. Includes bibliographical references.

This study has quantitatively explored the relationships between investment, the use oftechnology and manufacturing perfonnance in UK manufacturing industry from 1979 to 1995. The exploration ofthe relationships is based on the review and the meta-analysis ofmanufacturing practice and performance relationships in the past along with the related theories and economic factors. The review of the operational management theory and the economic factors, which may influence manufacturing performance and practice relationship, helps to establish the wide context for this research and also contributes to the identified gaps. The meta-analysis ofthe relationships between practice and performance in the published studies has also contributed to the identified gaps in this research area. After the consideration ofthe discovered gaps and the availability of the database, the relationship between investment, the use oftechnology and manufacturing performance has been explored in this research. In order to quantitatively evaluate the relationships between investment, the use of technology, their interaction and manufacturing perfonnance, econometric modelling techniques have been used as methodological approaches. Two types ofmethods have been developed based on the review ofthe econometric techniques used in the past and the exploration of relevant econometric literature. The first method uses multiplicative interaction regression models combined with the centralisation method and ordinary least square estimation technique to investigate the relationship between investment, technology usage and their interaction and one dimensional perfonnance. The second method employs multiple-output models using the maximum correlation estimation technique to investigate the relationships between investment, technology usage and their interaction and two dimensional performance measures. A UK manufacturing database including two time periods, the 1980s and the early 1990s, covering seventeen years has been used to test the hypothesised relationships between investment in several forms, technology usage, their interaction and financial performance. The research discovers that it was difficult for investment to bring benefits for performance improvement at the year ofinvestment. The results support the hypotheses that a long-term planned investment brought benefits for manufacturing companies in the 1980s, however was not the case in the early 1990s. Technology usage was very important for performance improvement in the 1980s but the benefits brought by technology were diminishing as the mature stage ofsome key technologies was reached in the early 1990s. The analysis of the data suggests that the economic recession in the early 1990s was an important factor in explaining the phenomena and other economic factors might playa role as well. Investment and technology did interact with each other to contribute to performance improvement but it was not always the case. The results of the multiple-outputs model support the hypothesis that profitability and growth were two joint products of investment, the use oftechnology and their interaction in the immediate year or two after investment. This research also demonstrates the values of mUltiplicative interaction regression modelling and multiple-outputs modelling for manufacturing relationship studies.

Thesis (MTech (Business Administration))--Cape Peninsula University of Technology, 2005. / Includes bibliographical references (leaves 65-67). Also available online.

The construction industry has inherent problems due to its structure and fragmentation. Its poor performance has been challenged by its client base and it has been forced to seek ways to deliver improved performance. This project was initiated as a response to this challenge and represents one organisation's attempt to deliver improvements. This organisation provides both design and construction solutions, offering ‘total life of asset support' from business consultancy through to decommissioning, in a neutral contractual environment. Initial investigations of the integration of design and construction and of the use of the EFQM Excellence Model concluded that a holistic view of the organisation's performance was needed. Most organisations use traditional, easily quantifiable measures, such as time and cost, whilst neglecting the softer cultural issues, as a way of assessing overall business performance. This prompted further research into the use of performance measurement and also a review of the culture that existed within the organisation. It became clear that many performance initiatives failed because of the lack of ‘Change Action driven by Results (CAR)'. The failure to initiate change or implement action based on the results achieved, means that performance measures are not being integrated into the management systems of the organisations. Based on the conclusions of this work, this project has developed and implemented the Integrated Business Improvement System (IBIS) within the primary case study unit and also two other organisations, all of which are part of AMEC Plc. The project details the barriers that were experienced during the development and implementation of the system and concludes that it is the human component that is critical for the successful implementation and use of any improvement system. The findings of this work have been presented in five peer- reviewed papers.

The importance of environmental analysis in the strategic management process and the effects of economic value drivers on firm or industry performance have been discussed conceptually and empirically by researchers in corporate failure, and in the areas of finance, accounting, strategic management, and the hospitality industry in the past. The belief is that the more systematic and frequent the scanning performed by managers the higher the chances of improving the firm's or industry's performance. The present study is an attempt to identify economic value drivers that impact the casual theme sector of the restaurant industry and to ascertain the degree of the impact during the period 1994-2003. The statistical analysis was based on time series data, using Cross Correlation, Granger Causality, and Multivariate Regression. An exhaustive range of economic value drivers within ten categories were tested: commodity market; foreign currency market; labor market; inflation; stock market; national income and output; interest rate; government revenue, spending, debt, and taxes; money supply; and consumer spending. The unit of analysis was done at the industry level, and an index of operational cash flows of the casual theme sector of the restaurant industry was developed. Economic value drivers within the categories of commodity markets, labor markets, inflation, stock market, national input/output, government revenue/spending/debt/taxes, money markets, and consumer spending indicated co-movements with and causality to the index of operational cash flows per unit in the casual theme restaurant industry. A high variance in the operational cash flows in the casual theme restaurant industry was explained by a set of economic value drivers within commodity markets, inflation, and labor markets. In broad, practical terms, the study intends to support the importance of assessing the economic environment for better performance of the restaurant industry and to provide food service managers with a conceptual model to understand the unanticipated effects on the performance of existing or new strategies. In real terms, the model and set of economic value drivers in the model would help them decide what kinds of action or investment in a firm or industry's weakness should be taken to buffer future operational risks against value drivers within economic environment. / Master of Science

Univ., Fak. für Wirtschaftswiss., Diss.--Magdeburg, 2005.

International joint ventures (IJVs) have become popular because of their importance as a strategic alternative in global competition. Construction companies consider IJVs as a vehicle to enter new markets and exploit business opportunities. Being a special type of strategic alliance, IJVs offer partnering companies to combine the distinctive competencies and the complementary resources. Despite the benefits associated with IJVs, such entities are very difficult to manage mainly due to their inherent complexity, involving a mixture of different cultures, managerial systems, philosophies, and attitudes. As a result of these difficulties, the failure rate of IJVs is generally high. Therefore, measurement of the performance of IJVs has been an important research topic for a few decades. However there is no consensus on an appropriate definition of the indicators and determinants of IJV performance in construction. In this study, a framework is proposed to model the IJV performance in construction industry. A multi-dimensional performance measure is developed and determinants influencing the level of performance are defined. In this context, a questionnaire survey was administered to Turkish construction companies that have established IJVs with foreign partners. The validity of the proposed drivers and measures of performance is investigated and relationships between them are analyzed using the structural equation modeling technique. The results point out the significance of the inter-partner fit and the quality of partner relations for a successful IJV operation. The findings of the study also suggest that project-related factors have a moderate influence on IJV performance. In a properly designed IJV structure, partners with compatible skills, resources, and cultures are found to maintain good relations and are expected to achieve greater IJV success.