Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 3 of 3
Full-Text Articles in Business
An Empirical Investigation Of Factors Influencing Knowledge Management System Success, John F. Whitfield Jr.
An Empirical Investigation Of Factors Influencing Knowledge Management System Success, John F. Whitfield Jr.
Theses and Dissertations
Knowledge has been viewed as a critical component for organizations. Consequently, organizations implement Knowledge Management Systems (KMSs) to seek competitive advantages, but they may encounter mixed results. This research draws on previous information system and knowledge management system success-related literature and selects eight factors that are believed to be critical for the successful implementation of a KMS. These factors were derived through a literature search of current KMS success-related literature. The purpose of this study is to identify factors that could have a clear influence on the development and implementation of KMSs. The study presents the empirical examination of a …
A Case-Based Exploration Of Task/Technology Fit In A Knowledge Management Context, Michael W. Moseley
A Case-Based Exploration Of Task/Technology Fit In A Knowledge Management Context, Michael W. Moseley
Theses and Dissertations
Task/Technology Fit (TTF) posits that as the intersection of the task domain and the capabilities of an information system (IS) increases in magnitude, the performance gains experienced by user through use of the IS will be positively impacted. While rooted in the traditional IS literature, this research proposes that TTF be extended to incorporate additional factors unique to the context of Knowledge Management (KM). Based upon the findings of this research, it is reasonable to conclude that when employing the TTF model to determine KMS fitness, additional factors other than the task requirements and KMS capabilities should be considered. This …
Developing Data Mart Using Extraction, Transformation And Loading, Senthil Murugan Lakshmanan
Developing Data Mart Using Extraction, Transformation And Loading, Senthil Murugan Lakshmanan
Theses Digitization Project
This project is organized to develop the sales data mart for the purpose of reporting data. Data warehouses support online analytical processing applications by gathering the data from various kinds of source information in a multidimensional format. Developing this strategic information can be done with the ETL, which means Extract, Transform and Loading. ETL functions reshape the relevant data from source systems into useful information to be stored in the data warehouse or data marts. The successful deployment of the sales data mart allowed the creation of a user interface that permits users to make strategic decisions. The reports can …