Author List: KANG, DAVID; Santhanam, Radhika;
Journal of Management Information Systems, 2003, Volume 20, Issue 3, Page 257-281.
Researchers have emphasized that existing training strategies must be modified in order to adequately prepare users to employ collaborative applications. We utilize findings from the vast amount of training research conducted thus far and point to some problems that might occur when existing strategies are applied to train users of collaborative applications. We test our ideas by conducting a longitudinal field study of a collaborative work flow application. As proposed in a recent knowledge-level framework, our findings indicate that training programs must not solely focus on developing users' system proficiency skills but must also educate users about the business processes that the collaborative application will support. This additional knowledge will enable users to deal with technology-induced changes in the business processes due to the deployment of the collaborative application. Furthermore, we find that training programs should sensitize users to the interdependencies that exist among their tasks and make them aware of the collective consequences of their individual actions. We also found that users have to engage in collective problem solving efforts and continuously learn new knowledge during the process of appropriation of the collaborative application. We propose a training framework that integrates these ideas to prepare users to make effective use of collaborative applications. The proposed framework calls for trainers to be continuously engaged with users and help refine their knowledge during the process of appropriation. We suggest that theoretical foundations rooted in collective learning be adopted to guide training research in collaborative applications.
Keywords: collaborative applications; end-user computing; end-user training
Algorithm:

List of Topics

#134 0.154 users end use professionals user organizations applications needs packages findings perform specialists technical computing direct future selection ability help software
#14 0.146 training learning outcomes effectiveness cognitive technology-mediated end-user methods environments longitudinal skills performance using effective method e-learning web-based basic ability learn
#37 0.133 intelligence business discovery framework text knowledge new existing visualization based analyzing mining genetic algorithms related techniques large proposed novel artificial
#265 0.133 collaborative groups feedback group work collective individuals higher effects efficacy perceived tasks members environment writing experiment did task intelligence compared
#54 0.104 approach conditions organizational actions emergence dynamics traditional theoretical emergent consequences developments case suggest make organization point outcomes recent trajectory claims
#53 0.093 knowledge application management domain processes kms systems study different use domains role comprehension effective types draw scope furthermore level levels
#21 0.058 research information systems science field discipline researchers principles practice core methods area reference relevance conclude set focus propose perspective inquiry
#180 0.056 multiple elements process environments complex integrated interdependencies design different developing integration order approach dialogue framework capabilities settings building focus distinct