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Discovery-driven organizational learning: Applying information technology to support organizational learning
Abstract
This dissertation is an exploration of the application of information technology to enhance an organization's capability in organizational learning. The discovery-driven organizational learning (DDOL) model is developed to operationalize the concept of organizational learning and to facilitate the application of information technology to support the process of organizational learning. The DDOL model is constructed with the building blocks of organizational knowledge base, business event, discovery-driven mechanism, cognitive map, and system dynamics model base. The DDOL model consists of two layers. The first layer is the outer layer, which is the actual learning process consisting of four phases: discovery, invention, production, evaluation and generalization. This layer will interact with various business events and identify the features of business events. The second layer is the inner layer, which supports the learning process and consists of the discovery-driven mechanism, the organizational knowledge base, and the system dynamics model base. A prototype system, which is called Discovery-driven Organizational Learning Support System(DDOLSS), is developed using Microsoft Visual Basic 3.0, professional version to implement the DDOL model. Evaluation of DDOLSS indicates that through the DDOL model, information technology can be applied to support organizational learning, and DDOLSS is desirable, useful, and practical to be implemented.
Subject Area
Management|Occupational psychology
Recommended Citation
Zhang, Ruidong, "Discovery-driven organizational learning: Applying information technology to support organizational learning" (1995). ETD collection for University of Nebraska-Lincoln. AAI9611078.
https://digitalcommons.unl.edu/dissertations/AAI9611078