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).

A Hierarchical Model for Knowledge Management

2011 ◽  
pp. 376-388 ◽  
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).

scholarly journals A Meta-Synthesis of Bibliometric Reviews of Research on Managing for Sustainability, 1982–2019

2021 ◽  
Vol 13 (6) ◽  
pp. 3469
Author(s):  
Philip Hallinger
Keyword(s):  
Knowledge Management ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Resource Management ◽  
Human Resource Management ◽  
Strategic Management ◽  
Human Resource ◽  
Large Body ◽  
Sustainable Supply Chain ◽  
Chain Management

This review of research used meta-synthesis to integrate findings from seven bibliometric reviews of research on managing for sustainability in different management disciplines: leadership, human resource management, entrepreneurship management, innovation management, supply chain management, knowledge management, and strategic management. The purposes of the review were to document empirically key features of this knowledge base as well as to identify leading journals, and documents. The meta-synthesis analyzed bibliographic data associated with 9927 relevant documents sourced from the Scopus index. The review confirmed the existence of a large body of management research on sustainability. This research, which first emerged during the 1980s, has grown exponentially since 2010. Although authorship of this corpus has been concentrated in Anglo-American-European (AAE) societies (60%), the authors of this corpus represent 140 different societies. Moreover, there is a recent trend of increasing contributions from developing societies such as China, India, Malaysia, Brazil, and South Africa. There are large differences in the “between-discipline” proportion of research produced on sustainability topics, with knowledge management and supply chain management evidencing the largest and human resource management the smallest proportions of this literature. The review also provided insight into the most influential journals (e.g., Journal of Cleaner Production, Sustainability, International Journal of Production Economics, Business Strategy and the Environment) and documents in the literature on managing for sustainability. Document co-citation analysis yielded three key conceptual themes within this literature: Sustainable Supply Chain Management, Strategic Management of Resources for Sustainability, Social Entrepreneurship. This analysis further highlighted the central role that strategic management theories have played in shaping sustainability discourse across the different management disciplines.

Introduction

2017 ◽  
Author(s):  
Jörgen Sandberg ◽  
Linda Rouleau ◽  
Ann Langley ◽  
Haridimos Tsoukas
Keyword(s):  
Knowledge Management ◽  
Resource Management ◽  
Organizational Learning ◽  
Human Resource Management ◽  
Strategic Management ◽  
Human Resource ◽  
Organization Studies ◽  
Critical Questions ◽  
Research Areas

Skillful performance has become one of the most perennial and critical questions within management and organization studies (MOS). This introductory chapter discusses how skillful performance has been conceptualized and investigated in three main interrelated research areas within MOS, namely strategic management, organizational learning and knowledge management, and human resource management. It critically scrutinizes these bodies of literatures, showing that while they have generated an abundance of knowledge about what characterizes the properties of the capabilities, knowledge, competence, and expertise related to skillful performance, they have considerably less to say about how they are enacted in skillful performance. As a way forward, the chapter introduces a range of process-based approaches to advance our understanding of how capabilities, knowledge, competence, and expertise are enacted in the skillful performance of individuals, groups, and organizations.

The Relationship Between Human Resource Management Practices, Knowledge Management Practices, and Performance: Evidence from the Healthcare Industry in India

2021 ◽  
pp. 097215092110372
Author(s):  
Satyanarayana Parayitam ◽  
Shaik Mohamed Naina ◽  
Timothy Shea ◽  
Abdul Hameed Syed Mohideen ◽  
Alex Aruldoss
Keyword(s):  
Knowledge Management ◽  
Resource Management ◽  
Human Resource Management ◽  
Organizational Performance ◽  
Human Resource ◽  
Management Practices ◽  
Training And Development ◽  
Learning Culture ◽  
Hrm Practices ◽  
The Relationship

The objective of the present study is to examine the impact of human resource management (HRM) practices on organizational performance. Knowledge management (KM) practices as a moderator in the relationship between HRM practices and organizational performance are studied by developing a conceptual model. Using a structured survey instrument, the data were collected from 979 employees from 10 hospitals in the southern part of India (Tiruchirappalli District of Tamil Nadu). After thoroughly checking the instrument’s measurement properties using the LISREL, hierarchical regression was performed to test the hypotheses. The results support (a) compensation and rewards, performance appraisal and learning culture that are positively and significantly related to organizational performance; (b) recruitment and selection, training and development that are not significantly related to organizational performance; and (c) KM practices that moderate the relationship between (a) training and development and organizational performance, and (b) learning culture and organizational performance. Finally, the implications for HRM and KM are discussed.

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