Knowledgebase and information management systems have existed for many years within academics and professional organizations. These technologies have greater importance within academic's programs due to the need and responsibility of creating and transferring knowledge and reliable information to their communities. In today's global, digital, and networked economy, information technology represents a substantial investment and constitutes a significant aspect of an organizational workload. Current information management systems focus on knowledge acquisition, storage, retrieval and maintenance, where Digital Resources, E-Learning Systems and technology are used primarily to handcraft material and training courses about carefully selected topics. The integration of Digital Resources, E-Learning systems and Knowledge based Management technology improve the capture, organization and delivery of traditional training courses and large amounts of corporate knowledge. In this study, we identify mayor factors associated to the adoption and use of Digital Information Management Systems by classifying and measuring the effects associated with these digital resources and designing an efficient and effective model of research for the adoption and use of digital systems for the administration and research of reliable and updated information. This research posits that the intention to use Digital Knowledgebase Resources, in academics and professional organizations depend on their perceived usefulness, perceived user-friendliness, learning rewards, and other external factors that can influence an individual's acceptance and intention to use new technologies within Digital Knowledgebase Management Systems. The findings indicate that the evaluated constructs of marketing and support, social factors, resources characteristics, ease of use and learning expectations, as well as the attitude of users are elements that directly influence the utility and intention to adopt and use digital systems and resources in the search for reliable and updated information. The final research model was able to predict a 65.1% intention of user to adopt and use digital information systems and resources to search for updated and reliable information. The fundamental variables that allowed predicting the intention of adoption and use were the attitude (38.3%), the learning rewards (34.9%), ease of use (28.2%) and the characteristics of the resources (25.9%). Having a high level of precision to predict the continuation of adoption and use of digital resources in the search for reliable information. This study contributes to the literature by empirically establishing the direct impacts of educational and professional organizations to support and commit to academic communities that are striving to find the right combination for reliable information, protocols and systems to adopt and use digital information management systems. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]