Rule extraction from technology IPOs in the US stock market

Machine learning techniques for prediction and rule extraction from artificial neural network methods are used. The hypothesis that market sentiment and IPO specific attributes are equally responsible for first-day IPO returns in the US stock market is tested. Machine learning methods used are Bayesian classifications, support vector machines, decision tree techniques, rule learners and artificial neural networks. The outcomes of the research are predictions and rules associated With first-day returns of technology IPOs. The hypothesis that first-day returns of technology IPOs are equally determined by IPO specific and market sentiment is rejected. Instead lower yielding IPOs are determined by IPO specific and market sentiment attributes, while higher yielding IPOs are largely dependent on IPO specific attributes.

New technology adoption in developing countries:the role of buyer-supplier relationships

Developing countries depend on foreign providers to ensure successful adoption of new technology. This paper investigates the role of buyer-supplier relationships (BSR) in technology adoption using a survey of 147 Malaysian firms. In particular the authors examined the impact on performance of different patterns of buyer-supplier relationship. Results show that firms demonstrating closer relationships with their suppliers are more likely to achieve higher levels of performance than those that do not. There are also insights that are especially pertinent to an improved understanding of buyersupplier relationships in the procurement of capital equipment, about which the current research literature is limited.

Managerial perceptions of factors influencing technology management in South Africa

A challenge for developing countries is to become part of the global economy. Their economic well being is dependent on their ability to attain the levels of technological development which could make them globally competitive. Infrastructural and educational problems pose immediate barriers which should be addressed as these countries embark on projects to enhance their technological base. The technology selected should be appropriate for the country's level of development and expertise. The implementation of that technology will place a new set of demands on managers and workers. This paper describes an investigation of perceptions of technology management in South Africa, a country which is developed in certain areas, but which remains desperately poor in other respects. South Africa's politics and history have always confronted managers with unique demands. The paper examines the perceptions of 132 South African managers regarding technology management by studying the relationship between the importance of different factors in managing new technology, and the extent to which a manager can control them. An importance-control grid framework is used to isolate individual parameters and to assess these in relation to the complexity of a manager's environment. The research highlights imbalances between importance and control, and suggests reasons therefor. Some broader implications for managers are also discussed. © 2002 Elsevier Science Ltd. All rights reserved.

Equity market integration in the Asia-Pacific region:a smooth transition analysis

We use a smooth transition logistic function to test for equity market integration in a sample of Asia-Pacific countries. This allows us to gauge the speed at which a market is becoming integrated. Of the countries we examine we find that Thailand has the fastest pace of global integration. When we examine the extent to which local integration is taking place, we find that Singapore is experiencing the fastest rise in market integration. © 2004 Published by Elsevier Inc.