Previous research in the knowledge management and information systems fields simply define knowledge by a few categories, and then describe knowledge systems and their usage and the difficulties with them. Knowledge and Knowledge Systems: Learning from the Wonders of the Mind starts from the beginni
Knowledge and Knowledge Systems: Learning from the Wonders of the Mind
โ Scribed by Eliezer Geisler
- Year
- 2007
- Tongue
- English
- Leaves
- 371
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Previous research in the knowledge management and information systems fields simply define knowledge by a few categories, and then describe knowledge systems and their usage and the difficulties with them. Knowledge and Knowledge Systems: Learning from the Wonders of the Mind starts from the beginning: where and how knowledge is formed and how it can be measured, describing humans and their knowledge path from conception and birth to maturity. Knowledge and Knowledge Systems: Learning from the Wonders of the Mind explores the process of knowledge formation in the mind and how humans generate complex constructs from their sensorial inputs. This book also describes how we store and utilize this complex knowledge in organizational and technological systems that allow us to communicate and to generate and manage social interactions and functions, providing estimable, value-rich content on a captivating and cutting-edge issue to researchers, scholars, and practitioners in a variety of settings.
๐ SIMILAR VOLUMES
Knowledge has only recently been widely recognized as an organizational asset, the effective management of which can afford a firm competitive advantage. This book takes an interdisciplinary approach to knowledge management relating it to business strategy, dynamic capabilities and firm performance.
Knowledge has only recently been widely recognized as an organizational asset, the effective management of which can afford a firm competitive advantage. This book takes an interdisciplinary approach to knowledge management relating it to business strategy, dynamic capabilities and firm performance.
Knowledge Management (KM) is strongly rooted in the discipline of Knowledge Engineering (KE), which in turn grew partly out of the artificial intelligence field. Despite their close relationship, however, many KM specialists have failed to fully recognize the synergy or acknowledge the power that KE