A Decision Support System to Determine the Need and Extent of Training: A Case Study of Computer Literacy Training at a University

The ubiquity of computer technology requires that individuals adopt and use technology. There are individuals in every organization that do not possess the skills necessary to adopt and use technology. Therefore, training is necessary for individuals to take advantage of technology. Organizations need to know which individuals need training. There is a significant and positive relationship between computer self-efficacy and the adoption and use of computer technology. Therefore, many individuals with low computer self-efficacy need training that will improve their self-efficacy and provide them with the skills to adopt and use technology. Self-selection to train does not work because individuals with low computer self-efficacy will avoid training. A decision support system can be used to quickly identify individuals with low computer self-efficacy so that they can be routed into training. The system not only determines which individuals require training but also determines which type of training is most appropriate. The DSS provides cost benefits by eliminating redundant resources, reducing the number of instructors, streamlining the administration of training programs and identifying those individuals that do not require additional training. The concept of a decision support system built upon selfefficacy can be applied in a variety of environments beyond computer literacy training.