Real-Time Knowledge Management

2012 ◽  
pp. 109-127
Author(s):  
Moria Levy
Keyword(s):  
Knowledge Management ◽  
Real Time

Our Knowledge Management Hubble May Need Glasses

2018 ◽  
Vol 14 (1) ◽  
pp. 30-50 ◽  
Author(s):  
William H. Money ◽  
Stephen J. Cohen
Keyword(s):  
Big Data ◽  
Knowledge Management ◽  
Real Time ◽  
Complex Data ◽  
Data Systems ◽  
Fault Handling ◽  
Architectural Framework ◽  
Big Data Systems ◽  
And Performance ◽  
Streaming Big Data

This article analyzes the properties of unknown faults in knowledge management and Big Data systems processing Big Data in real-time. These faults introduce risks and threaten the knowledge pyramid and decisions based on knowledge gleaned from volumes of complex data. The authors hypothesize that not yet encountered faults may require fault handling, an analytic model, and an architectural framework to assess and manage the faults and mitigate the risks of correlating or integrating otherwise uncorrelated Big Data, and to ensure the source pedigree, quality, set integrity, freshness, and validity of the data. New architectures, methods, and tools for handling and analyzing Big Data systems functioning in real-time will contribute to organizational knowledge and performance. System designs must mitigate faults resulting from real-time streaming processes while ensuring that variables such as synchronization, redundancy, and latency are addressed. This article concludes that with improved designs, real-time Big Data systems may continuously deliver the value of streaming Big Data.

The Analysis of Accounting Information Activities Blending SOA

2011 ◽  
Vol 267 ◽  
pp. 35-38
Author(s):  
Yan Fang Niu
Keyword(s):  
Knowledge Management ◽  
Real Time ◽  
Value Chain ◽  
Process Integration ◽  
Accounting Information ◽  
Added Value ◽  
Accurate Information ◽  
Real Time Control ◽  
Financial Reports ◽  
Time Control

Accounting value chain can be considered as composed by the five accounting information activities: capturing economic events, accounting business process integration, real-time financial reports, accounting real-time control, accounting information knowledge management. How to fully reflect the added-value of these activities is the key to produce the real-time, accurate information. This paper illustrates these accounting information activities blending the emerging SOA.

scholarly journals The probabilistic innovation theoretical framework

2017 ◽  
Vol 20 (1) ◽  
Author(s):  
Chris W. Callaghan
Keyword(s):  
Knowledge Management ◽  
Problem Solving ◽  
Real Time ◽  
Theory Development ◽  
Research Problem ◽  
Theoretical Framework ◽  
Management Theory ◽  
Effective Theory ◽  
Knowledge Management Theory ◽  
Knowledge Problem

Background: Despite technological advances that offer new opportunities for solving societal problems in real time, knowledge management theory development has largely not kept pace with these developments. This article seeks to offer useful insights into how more effective theory development in this area could be enabled.Aim: This article suggests different streams of literature for inclusion into a theoretical framework for an emerging stream of research, termed ‘probabilistic innovation’, which seeks to develop a system of real-time research capability. The objective of this research is therefore to provide a synthesis of a range of diverse literatures, and to provide useful insights into how research enabled by crowdsourced research and development can potentially be used to address serious knowledge problems in real time.Setting: This research suggests that knowledge management theory can provide an anchor for a new stream of research contributing to the development of real-time knowledge problem solving.Methods: This conceptual article seeks to re-conceptualise the problem of real-time research and locate this knowledge problem in relation to a host of rapidly developing streams of literature. In doing so, a novel perspective of societal problem-solving is enabled.Results: An analysis of theory and literature suggests that certain rapidly developing streams of literature might more effectively contribute to societally important real-time research problem solving if these steams are united under a theoretical framework with this goal as its explicit focus.Conclusion: Although the goal of real-time research is as yet not attainable, research that contributes to its attainment may ultimately make an important contribution to society.

scholarly journals Investigating the potential for the development of a just-in-time knowledge management model

2010 ◽  
Vol 41 (2) ◽  
pp. 1-12 ◽  
Author(s):  
P. D. Steyn ◽  
A. S.A. Du Toit
Keyword(s):  
Knowledge Management ◽  
Real Time ◽  
Just In Time ◽  
Development Effort ◽  
Demand And Supply ◽  
Production Logistics ◽  
Matching Process ◽  
Knowledge Requirements ◽  
The Right ◽  
Insight Into

There have been numerous approaches to knowledge management over the past number of years. The term Just-in-Time (JIT) can be defined as a production or inventory scheduling technique found within the more complex production logistics disciplines. JIT is more appropriately thought of as a philosophy, as it is more than a mere set of management and production principles. JIT knowledge management is an endeavour to provide the right knowledge at the right time to the right person. This requires insight into the knowledge demand and supply process as well as the time horizon applicable to the knowledge required. Over the longer term business forecasts, environmental scans and strategic planning can be applied to close the gap between these variables. However, it is in the short term and in the satisfaction of immediate requirements that the present systems fail and management concerns are emphasised. JIT knowledge management seeks an optimisation of the matching process between demand and supply of knowledge within enterprises, i.e. it endeavours to translate the logistic concept of JIT to the knowledge management field. In addition to JIT knowledge management the concept of real-time knowledge management is introduced as an alternative, since present research indicates that the implementation of JIT knowledge management presents major challenges in terms of cost and development effort, restricting its use to mission critical applications. A more generic application of JIT knowledge management needs to be developed and it is contended that real-time knowledge management fits the requirements of enabling the enterprise to be agile in respect of its ability to respond to knowledge demands and to be sensitive to future knowledge requirements.

scholarly journals A Theoretical Framework of Knowledge Management in M-Government

2010 ◽  
pp. 3-13
Author(s):  
Srikanth Kesavarapu ◽  
Choi Mun-Kee
Keyword(s):  
Developing Countries ◽  
Knowledge Management ◽  
Real Time ◽  
Conceptual Analysis ◽  
Legal Issues ◽  
Full Potential ◽  
Government Information ◽  
Knowledge Model ◽  
Security Issues ◽  
Available Technology

M-government is one of the new and important developments in e-government. The promise of mgovernment to provide greater access to government information is progressing in many developed and developing countries. Current m-government does not exploit the full potential of available technology. M-government presents some challenges such as technical challenges, usability challenges, handset-limitations, social and legal issues, and so on. Also, knowledge management (KM) has changed from one generation to the next through constant improvements and perspectives. In this paper, we deal with the security issues in different forms of government using some technology-based KM and propose some ways to eradicate using latest technologies. In this context, this paper aims to present a conceptual analysis of process-based KM approach in m-government to which researchers must pay attention and describe a suitable knowledge model to achieve real-time, ubiquitous government.

Development of Intelligent Equipment Diagnosis and Maintenance System using JESS

2011 ◽  
pp. 271-292
Author(s):  
Yin-Ho Yao ◽  
Gilbert Y.P. Lin ◽  
Amy J.C. Trappey
Keyword(s):  
Knowledge Management ◽  
Real Time ◽  
Liquid Crystal Display ◽  
Production Equipment ◽  
Prototype System ◽  
Equipment Maintenance ◽  
Rule Based ◽  
Maintenance System ◽  
Rule Set ◽  
Function Management

In modern manufacturing organizations, tasks of equipment and facility maintenance are complex and often geographically dispersed due to enterprise globalization. Diagnosing modern equipment breakdown requires considerable expertise and collaboration among equipment users and technical experts. Therefore, an intelligent diagnosis and maintenance system is necessary to support agile production and collaborative equipment maintenance in real time. This chapter focuses on describing the development of a rule-based intelligent equipment trouble-shooting and maintenance platform using JAVA Expert System Shell (JESS) technology. A prototype system is designed and developed combining rule-based knowledge system and inference engine to support real time collaborative equipment maintenance across geographical boundary. The main modules of the system include diagnosis knowledge management, project or case management and system administration. The knowledge management module consists of key functions such as knowledge type definition, knowledge component definition, document definition, mathematical model definition, rule and rule-set management. The project management module has key functions such as project definition, project’s role management, project’s function management and project’s rule-set execution. Further, a thin-film transistor liquid-crystal display (TFT-LCD) production equipment diagnosis and maintenance system is designed and implemented to demonstrate the intelligent maintenance capability. The prototype system enhances agility of TFT-LCD collaborative manufacturing processes with real time equipment diagnosis and maintenance.

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