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Full-Text Articles in Business
Barriers In The Adoption Of A Market Orientation By Locally Based Non-Profit Organisations (Npos), Gary I. Noble
Barriers In The Adoption Of A Market Orientation By Locally Based Non-Profit Organisations (Npos), Gary I. Noble
Faculty of Commerce - Papers (Archive)
The need for non-profit organisations (NPOs) to adopt a ‘market orientation’ has been promoted widely in the academic literature. To date, research in this area has focussed on either measuring the degree of market orientation within an NPO or detailing the financial and other benefits that accrue from a market orientation. Although this body of research acknowledges there are barriers to the adoption of a market orientation no study has identified the nature of these barriers. This study contributes to our knowledge by identifying what managers of small locally based NPOs perceive as the main barriers to the adoption of …
Machine Learning Techniques And Use Of Event Information For Stock Market Prediction: A Survey And Evaluation, Paul D. Yoo, Maria H. Kim, Tony Jan
Machine Learning Techniques And Use Of Event Information For Stock Market Prediction: A Survey And Evaluation, Paul D. Yoo, Maria H. Kim, Tony Jan
Faculty of Commerce - Papers (Archive)
This paper surveys machine learning techniques for stock market prediction. The prediction of stock markets is regarded as a challenging task of financial time series prediction. In this paper, we present recent developments in stock market prediction models, and discuss their advantages and disadvantages. In addition, we investigate various global events and their issues on predicting stock markets. From this survey, we found that incorporating event information with prediction model plays very important roles for more accurate prediction. Hence, an accurate event weighting method and a stable automated event extraction system are required to provide better performance in financial time …
A Conceptual Model For Predicting Overseas Market Entry Order Decisions, Peter R. Massingham
A Conceptual Model For Predicting Overseas Market Entry Order Decisions, Peter R. Massingham
Faculty of Commerce - Papers (Archive)
I investigate the factors that influence firms’ order of entry into overseas markets. The existing literature identifies a range of firm and industry characteristics that influence the timing entry decision. I extend this research by developing a holistic conceptual model that explains how these factors interact to create conditions leading to first, second and late mover strategies. The paper argues that the factors combine to create strategic scenarios for each entry order. I undertake a four-step process to explain how managers may use this conceptual model to plan appropriate entry order decisions for each scenario. A key to the process …