Performance Technology & Support Systems
Solutions. This article illustrates the benefits of performance support systems for training call center employees. With the help of learn.com's performance support tools, employees from companies such as Verizon, DuPont, and Pitney Bowes learned various software application programs more efficiently and thoroughly than through other training delivery methods. In addition to reducing costs, Aetna found that employee performance was significantly better after using performance support tools.
T+D v59 n4 p67-69 April 2005
The growing use of wireless devices for workplace learning and performance applications is discussed. Some examples of mobile uses directly related to performance improvement are: needs analysis tools; real-time, un-plugged executive information systems; portable training and performance support opportunities; customer-enabling technologies; and location-tracking devices. The author suggests that mobile devices can assist managers make better use of their time and resources.
T+D v58 n11 p46-51 November 2004
The authors suggest that performance support tools, though proven useful and a good investment are not used regularly. The article claims that to create an effective performance support tool a number of factors come into play: leaders and managers must be vocal; consistent supporters; users must be involved in development; solutions must match corporate culture; and solutions must connect to the context and the user. Successful performance support tools used by the US Coast Guard are explained along with the lessons learned in their development.
T+D v58 n2 p34-39 February 2004
This article presents case studies on the use of performance technology at four different organizations--Kaiser Permanente, Boeing, PacifiCare, and Applied Biosystems. Each companies' needs and solutions are different. It explains the four phases of self-service action and development planning. The article concludes with four tips on how to make performance technology work in any organization.
Learning Circuits v5 n1 January 2004
