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Knowledge Management In Information Technology Help Desk: Past, Present And Future, Kar Yin Leung, Sim K. Lau
Knowledge Management In Information Technology Help Desk: Past, Present And Future, Kar Yin Leung, Sim K. Lau
Faculty of Commerce - Papers (Archive)
Information technology has changed the way organizations function. This resulted in the reliance of help desks to deal with information technology related areas such as hardware, software, and telecommunication. Besides, the adoption of business process reengineering and downsizing have led to the shrinkage of the size of help desk. The shorter information technology product life cycle has worsened the situation by increasing the already sizeable help desk’s user base. Consequently, the help desk has to cover more information technology products and resolute more technical enquiries with less staff. Thus, the outcome is clear that users have to wait comparably longer …
Epoc: Mobile Clinical Information Access And Diffusion In Ambulatory Care Service Settings, Peter W. Eklund, Jason P. Sargent
Epoc: Mobile Clinical Information Access And Diffusion In Ambulatory Care Service Settings, Peter W. Eklund, Jason P. Sargent
Faculty of Commerce - Papers (Archive)
This paper represents an overview of a field trial for a patient data management system used in ambulatory care. Its purpose is to give an outline of the issues that allow technological enablement of electronic patient data management in the delivery of home-based medical care. While the replacement of more traditional paper-based patient data management using PDAs as a collection platform are technically straightforward, the organizational realignment of an electronic document management system require careful study and deployment in order to maximize success. We outline the methodological considerations for document management diffusion within this e- Health setting and describe the …
Executive Information Systems And The Top-Officers' Roles: An Exploratory Study Of User-Behaviour Model And Lessons Learnt, Emmanuel Ikart
Executive Information Systems And The Top-Officers' Roles: An Exploratory Study Of User-Behaviour Model And Lessons Learnt, Emmanuel Ikart
Faculty of Commerce - Papers (Archive)
In recent years a number of organisations have implemented executive information systems (EIS) in order to improve the performance of their executives’ jobs. Although the use of EIS is important in executives’ work, the majority of executives are unwilling to use EIS applications because of their design flaws. By using social factors, habits and facilitation condition variables from Triandis’ framework, this paper extends the Technology Acceptance Model (TAM) to derive useful variables to address the problem of the low usage of EIS by executives. This paper reports on research in progress in Australia on the adoption and usage of EIS …
Towards Executive Information Systems Adoptions By Knowledge Workers: An Extension Of The Technology Acceptance Model To Account For Social-Cultural Factors, Emmanuel Ikart
Faculty of Commerce - Papers (Archive)
In recent years a number of organisations have implemented executive information systems (EIS) in order to improve the performance gains on their executives’ job. Although the use of EIS is important to executives, majority of executives are unwilling to use EIS because of their design failures. By using social factors, habits and facilitation conditions variables from Triandis’ framework, this paper extends the Technology Acceptance Model (TAM) to derive useful variables to address the problem of the low usage of EIS by executives. This paper reports on the research in progress in Australia on the adoption and usage of EIS by …
An Investigation Of The Determinants Of User Acceptance Of Information Technology In A West African Nation: The Case Of Nigeria, Emmanuel Ikart
An Investigation Of The Determinants Of User Acceptance Of Information Technology In A West African Nation: The Case Of Nigeria, Emmanuel Ikart
Faculty of Commerce - Papers (Archive)
In today’s hypercompetitive business environments hardly anyone questions the important role that information technology plays. The conventional wisdom is that IT is necessary for business survival and that careful deployment and management of IT resources and capabilities leads to enhance value for the business (Ying and Ram, 2004). Despite this recognition of information technology as a key enabler of organisational strategy (Preston and Karahanna, 2004), and despite recent investment in IT in Nigerian economy (Ajayi, 2003) an increasing number of organisations in this economy have found themselves unable to apply IT effectively (Modum, 1983). For corporate IT to be meaningful …
The Customization Of Knowledge Management Techniques In Information Technology Help Desk, Kar Yin Leung, Sim K. Lau, Geng Liang
The Customization Of Knowledge Management Techniques In Information Technology Help Desk, Kar Yin Leung, Sim K. Lau, Geng Liang
Faculty of Commerce - Papers (Archive)
Information Technology (IT) has converted a majority of organizational activities to automatic and electronicbased. This conversion greatly increases Help Desk (HD)'s coverage on IT related areas. Alternatively, the adoption of business process reengineering and downsizing has led to the shrinkage of the size of HD. This not only leads to the loss of priceless knowledge, but also coerces HD to provide more service with less staff - the outcome is clear that users have to wait comparably longer before HD staff is available. This paper describes how generic Knowledge Management process can be customized to improve support process in HD.
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 …