Automated Resource Management Framework for Adjusting Business Service Capability

2007 ◽  
Author(s):  
Yonglin Xia ◽  
Jun Wei
Keyword(s):  
Resource Management ◽  
Business Service ◽  
Management Framework ◽  
Service Capability

scholarly journals Why Not Knowledge-Based HRM? Its Direct and Indirect Effect on Innovative Service Offerings

SAGE Open ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 215824402098300
Author(s):  
Norwan Ahmad ◽  
Ng Siew Imm ◽  
Yuhanis Abdul Aziz ◽  
Norazlyn Kamal Basha
Keyword(s):  
Resource Management ◽  
Human Resource Management ◽  
Human Resource ◽  
Dynamic Capabilities ◽  
Management Practices ◽  
Business Service ◽  
Marketing Capability ◽  
Cross Sectional Survey ◽  
Knowledge Based ◽  
Human Resource Management Practices

This article is aimed at examining the effect, direct and indirect, of knowledge-based human resource management on innovative offerings of service small and medium-sized enterprises (SMEs). Knowledge-based human resource management essentially reflects the central role played by the embedded knowledge-centric human resource management practices, which may lead to new or improved services. A cross-sectional survey was implemented involving a sample of 278 business service SMEs from Malaysia and indicated two key findings from the study. First, knowledge-based human resource management was found to positively influence innovative service offerings. Second, dynamic capability in the aspects of entrepreneurial orientation, marketing capability, and technological capability were found to mediate the knowledge-based human resource management–innovative service offerings relationship. This study espouses the potentials of creating innovative service offerings among business service SMEs through embedding knowledge perspective in human resource management practices as well as investment in dynamic capabilities.

A hierarchical radio resource management framework for integrating wlans in cellular networking environments

2005 ◽  
Vol 12 (6) ◽  
pp. 11-17 ◽  
Author(s):  
G.T. Karetsos ◽  
S.A. Kyriazakos ◽  
E. Groustiotis ◽  
F. Di Giandomenico ◽  
I. Mura
Keyword(s):  
Resource Management ◽  
Radio Resource Management ◽  
Radio Resource ◽  
Management Framework

Bayesian belief networks: applications in ecology and natural resource management

2006 ◽  
Vol 36 (12) ◽  
pp. 3053-3062 ◽  
Author(s):  
Robert K McCann ◽  
Bruce G Marcot ◽  
Rick Ellis
Keyword(s):  
Resource Management ◽  
Natural Resource Management ◽  
Natural Resource ◽  
Expert Knowledge ◽  
Bayesian Belief Networks ◽  
Belief Networks ◽  
Costs And Benefits ◽  
Management Decisions ◽  
Management Guidelines ◽  
Management Framework

In this introduction to the following series of papers on Bayesian belief networks (BBNs) we briefly summarize BBNs, review their application in ecology and natural resource management, and provide an overview of the papers in this section. We suggest that BBNs are useful tools for representing expert knowledge of an ecosystem, evaluating potential effects of alternative management decisions, and communicating with nonexperts about making natural resource management decisions. BBNs can be used effectively to represent uncertainty in understanding and variability in ecosystem response, and the influence of uncertainty and variability on costs and benefits assigned to model outcomes or decisions associated with natural resource management. BBN tools also lend themselves well to an adaptive-management framework by posing testable management hypotheses and incorporating new knowledge to evaluate existing management guidelines.

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