Purpose – To propose and evaluate a novel management structure that encourages knowledge sharing across an organization.Design/methodology/approach – The extant literature on the impact of organizational culture and its link to management structure is examined and used to develop a new knowledge sharing management structure. Roadblocks to implementing a new management structure and methods for overcoming these impediments are discussed. The efficacy of the proposed management structure is evaluated empirically by examining its effect on organizations that have implemented portions of the proposed structure.Findings – The foundational ideas behind the proposed knowledge management organizational structure and the structure itself have been implemented in parts at various organizations located both in the USA and internationally. While the full management structure model has not been evaluated, the portions implemented in various organizations have enabled these organizations to assume leading roles in thei...

This chapter examines the history of artificial neural networks research through the present day. The components of artificial neural network architectures and both unsupervised and supervised learning methods are discussed. Although a step-by-step tutorial of how to develop artificial neural networks is not included, additional reading suggestions covering artificial neural network development are provided. The advantages and disadvantages of artificial neural networks for research and real-world applications are presented as well as potential solutions to many of the disadvantages. Future research directions for the field of artificial neural networks are presented.