A Hierarchical Model of Collaborative Resource Management

2002 ◽  
pp. 215-241
Author(s):  
Deborah J. Shields
Keyword(s):  
Resource Management ◽  
Hierarchical Model ◽  
Collaborative Resource Management

A Hierarchical Model for Knowledge Management

2011 ◽  
pp. 1366-1379
Author(s):  
Nicolas Prat
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Knowledge Management ◽  
Resource Management ◽  
Human Resource Management ◽  
Strategic Management ◽  
Human Resource ◽  
Hierarchical Model ◽  
Management Education ◽  
Education Science

Knowledge management (KM) is a multidisciplinary subject, with contributions from such disciplines as information systems (IS) and information technology (IT), strategic management, organizational theory, human-resource management, education science, psychology, cognitive science, and artificial intelligence. In order to take full advantage of these various contributions, the necessity of a multidisciplinary approach to KM is currently widely acknowledged, particularly in the IS and IT, management, and artificial-intelligence communities (Alavi & Leidner, 2001; Dieng-Kuntz et al., 2001; Grover & Davenport, 2001; Nonaka & Konno, 1998; O’Leary & Studer, 2001; Zacklad & Grundstein, 2001).

A Hierarchical Model for Knowledge Management

2011 ◽  
pp. 211-220 ◽  
Author(s):  
Nicolas Prat
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Knowledge Management ◽  
Resource Management ◽  
Human Resource Management ◽  
Strategic Management ◽  
Human Resource ◽  
Hierarchical Model ◽  
Management Education ◽  
Education Science

Knowledge management (KM) is a multidisciplinary subject, with contributions from such disciplines as information systems (IS) and information technology (IT), strategic management, organizational theory, human-resource management, education science, psychology, cognitive science, and artificial intelligence. In order to take full advantage of these various contributions, the necessity of a multidisciplinary approach to KM is currently widely acknowledged, particularly in the IS and IT, management, and artificial-intelligence communities (Alavi & Leidner, 2001; Dieng-Kuntz et al., 2001; Grover & Davenport, 2001; Nonaka & Konno, 1998; O’Leary & Studer, 2001; Zacklad & Grundstein, 2001).

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