A Framework for Managing the Life Cycle of Knowledge in Organizations

2010 ◽  
pp. 296-312
Author(s):  
Mark Salisbury
Keyword(s):  
Life Cycle ◽  
The United States ◽  
Department Of Energy ◽  
The Other ◽  
United States Department ◽  
Work Processes ◽  
Discussion Section ◽  
Future Directions ◽  
States Department ◽  
The Right

This article describes a framework for managing the life cycle of knowledge in organizations. The framework emerges from years of work with the laboratories and facilities that are under the direction of the United States Department of Energy (DOE). The article begins by describing the background of the work from which the framework emerged; this is followed by describing the problem of identifying the “right” knowledge for the “right” people at the “right” time and how the use of performance objectives addresses this problem. Next, the phases in the life cycle of knowledge in an organization, the theoretical foundation for the framework, and the other aspects of the framework (Work Processes, Learning Processes, and Methodologies) are described. Finally, a discussion section summarizes the framework and discusses future directions for enhancing and extending the framework.

A Framework for Managing the Life Cycle of Knowledge in Global Organizations

2011 ◽  
pp. 64-80
Author(s):  
Mark Salisbury
Keyword(s):  
Life Cycle ◽  
Department Of Energy ◽  
Significant Problem ◽  
United States Department ◽  
Work Processes ◽  
Global Organizations ◽  
The People ◽  
Global Organization ◽  
The Right ◽  
Dissemination System

This chapter describes a framework for managing the life cycle of knowledge in global organizations. The approaches described in this chapter were initially used to successfully build a knowledge dissemination system for the laboratories and facilities that are under the direction of the United States Department of Energy (DOE) (Salisbury & Plass, 2001). The follow-on work to this effort was the development of a collaboration application that fed the dissemination system for the DOE laboratories and facilities. The resulting system managed the life cycle (creation, preservation, dissemination and application) of knowledge for the DOE laboratories and facilities (Salisbury, 2003). While seen as a highly successful system, a significant problem was the difficulty in identifying the right knowledge that needed to get to the right people at the right time. This is also a significant problem for global organizations that need to share their knowledge across international boundaries. What is needed to solve this problem for global organizations is a systemic way that can be applied as an organizational strategy to identify this knowledge, the people that needed it, and the time it should be accessible. This chapter focuses on the use of performance objectives for managing the “right” knowledge in a global organization. In the next section, the background of the projects that inspired the framework is introduced. Next, the framework itself is discussed: the theoretical foundation for the framework, Work Processes, Learning Processes, and Methodologies for managing the life cycle of knowledge in a global organization. (For a full discussion of this approach in book form, see Salisbury, 2009).

A Framework for “Just-in-Time Learning” Decision Support in Organizations

2021 ◽  
pp. 449-466
Author(s):  
Mark Salisbury
Keyword(s):  
Decision Support ◽  
Expert Systems ◽  
The United States ◽  
Department Of Energy ◽  
Just In Time ◽  
United States Department ◽  
Discussion Section ◽  
States Department ◽  
Learning Framework ◽  
Provide Decision Support

This article describes an integrated “Just-in-Time Learning” framework for providing decision support in organizations. The framework emerges from years of work with the national laboratories and facilities that are under the direction of the United States Department of Energy. The article begins by describing expert systems technology and how it has been used to provide decision support in organizations. This is followed by a discussion of the strengths and weaknesses of expert systems technology for this purpose. Next, a “Just-in-Time Learning” framework is introduced where the theoretical foundation for the framework is described. Afterwards, the other aspects of the framework including the types of knowledge, learners it serves, and how the framework can be utilized for decision support are detailed. Finally, a discussion section summarizes how a Just-in-Time Learning Framework can achieve some of the strengths -- while overcoming some of the weaknesses -- of expert system technology for providing decision support in organizations.

RELAP5/MOD3.2 Investigation of a VVER-1000 MCP Switching on Problem

2002 ◽  
Author(s):  
Pavlin Groudev ◽  
Malinka Pavlova
Keyword(s):  
Power Plant ◽  
Nuclear Power ◽  
Argonne National Laboratory ◽  
The United States ◽  
Reactor Power ◽  
Department Of Energy ◽  
The Other ◽  
United States Department ◽  
Coolant Pump ◽  
Bulgarian Academy

This paper provides a discussion of various RELAP5 parameters calculated for the investigation of the nuclear power reactor parameter behavior in case of switching on one main coolant pump (MCP) when the other three MCPs are in operation. The reference power plant for this analysis is Unit 6 at the Kozloduy Nuclear Power Plant (NPP) site. Operational data from Kozloduy NPP have been used for the purpose of assessing how the RELAP5 model compares against plant data. During the plant-commissioning phase at Kozloduy NPP Unit 6 a number of experiments have been performed. One of them is switching on MCP when the other three MCPs are in operation. The event is characterized by rapid increase in the flow through the core resulting in a coolant temperature decrease, which leads to insertion of positive reactivity due to the modeled feedback mechanisms. This investigation has been conducted by Bulgarian and Russian specialists on the stage when the reactor power was at 75% of the nominal level. The purpose of the experiment was the complete testing of reliability of all power plant equipment, testing the reliability of the main regulators and defining a jump of the neutron reactor power in case of switching on of one main coolant pump. The Institute for Nuclear Research and Nuclear Energy - Bulgarian Academy of Sciences (INRNE-BAS), Sofia, and Kozloduy NPP have been developing a RELAP5/MOD3.2 model for Kozloduy NPP VVER-1000 for investigation of operational occurrences, abnormal events, and design basis scenarios. This investigation is a process that compares the analytical results obtained by the RELAP5 computer model of the VVER-1000 against the experimental transient data received from the Kozloduy NPP Unit 6. The comparisons between the RELAP5 results and the test data indicate good agreement. This report was possible through the participation of leading specialists from Kozloduy NPP and with the support of Argonne National Laboratory, under the International Nuclear Safety Program (INSP) of the United States Department of Energy.

Mycorrhizal symbionts of Populus to be sequenced by the United States Department of Energy?s Joint Genome Institute

Mycorrhiza ◽  
2004 ◽  
Vol 14 (1) ◽  
pp. 63-64 ◽  
Author(s):  
P. Lammers ◽  
G. A. Tuskan ◽  
S. P. DiFazio ◽  
G. K. Podila ◽  
F. Martin
Keyword(s):  
United States ◽  
The United States ◽  
Department Of Energy ◽  
Joint Genome Institute ◽  
United States Department ◽  
States Department
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