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In this paper, I examine three areas of the organizational learning (OL) field where consensus has yet to develop. Ultimately, I proceed to develop the foundation for a normative theory of OL predicated on measuring/depicting the knowledge stock, organizational learning, and meta-learning through algebraic functions coupled with consideration of experimentation

In this paper, I examine three areas of the organizational learning (OL) field where consensus has yet to develop. Ultimately, I proceed to develop the foundation for a normative theory of OL predicated on measuring/depicting the knowledge stock, organizational learning, and meta-learning through algebraic functions coupled with consideration of experimentation and meta-experimentation. This OL framework is then used to predict organizational performance and returns from learning while presenting additional areas of integration between the proposed framework and eventual application within organizations.

ContributorsSchliesmann, Daniel (Author) / Luciano, Margaret (Thesis director) / Brett, Joan (Committee member) / School of Accountancy (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05