Implementing change by merely providing organizations with IS resources and requiring participation in training programs can result in sub-optimal outcomes and poor utilization of the systems. A more comprehensive assessment of existing skills and training needs can help in preparing the organization for change.
The processes of explaining and making sense of the changes that surround the implementation of IT in an organizational setting considered in our work highlight the mutual dependence of organizational change and training on a cognitive infrastructure that enables effective communication and collaboration.
Current training approaches and techniques can facilitate the conversion of knowledge through combination where the cycles of innovation in organization and systems development are relatively short and concurrent. However, the introduction and use of enterprise systems involves more unplanned and second order organizational change. In order to be effective, these changes require training that supports adjustive, formative, and reinventive learning. However, these training needs are more difficult to assess. The misalignment of training and learning outcomes is largely responsible for the inertia evident in projects that fail through resistance to change or poor change management.
Our research suggests that enterprise systems are increasingly used to exploit opportunities for new inter- and intra-organizational processes and organizational forms. Consequently, there is a need to adopt a more developmental perspective of the organization as a creator rather than mere processor of information. The principal components that emerged from our study highlighted the
congruence of the constructs that underlie the classificatory schema of organizational change, learning and knowledge conversion.
The framework that emerged from our developmental work provided a useful way of identifying and analyzing the training needs of organizations with diverse user communities and
continuous change. The limitations of our research are clear, given the specialty of work in the clinical community and the systems that support that enterprise. However, although not immediately generalizable to other settings, the initial test of our framework provided a robust proof-of-concept.
不要翻译器翻译的 那种我也会 谢谢了