SlideShare une entreprise Scribd logo
1  sur  35
6-KNOWLEDGE APPLICATION  LEILA   JANNATI MOHAMMAD ALI  ABBASI Knowledge Management in Theory and Practice
CONTENTS  BOOK INTRODUCTION TO KNOWLEDGE MANAGEMENT IN THEORY AND PRACTICE 2.	THE KNOWLEDGE MANAGEMENT CYCLE Learning Objectives  3.	KNOWLEDGE MANAGEMENT MODELS Learning Objectives  4.	KNOWLEDGE CAPTURE AND CODIFICATION Learning Objectives  5.	KNOWLEDGE SHARING AND COMMUNITIES OF PRACTICE  6.	KNOWLEDGE APPLICATION Learning Objectives  7.      THE ROLE OF ORGANIZATIONAL CULTURE Learning Objectives  8.	KNOWLEDGE MANAGEMENT TOOLS Learning Objectives  9.	KM STRATEGY AND METRICS Learning Objectives 10.	THE KM TEAM Learning Objectives  11.	FUTURE CHALLENGES FOR KM Learning Objectives
	This chapter brings us to the final step in the knowledge management cycle when the knowledge that has been captured, coded, shared, and otherwise made available is put to actual use.
LEARNING OBJECTIVES  1. Understand how user and task modeling approaches can help promote  	effective knowledge use at the individual, group, and organizational  	level.  2. Describe how an organizational knowledge management architecture is  	designed.  3. Define organizational learning and describe the links between individual and organizational learning.  4. Compare and contrast learning and understanding with internalization  	of knowledge. 5. List the different knowledge support technologies that can help users  	put knowledge into action.
INTRODUCTION Knowledge management typically addresses one of two general objectives:  1-Knowledge reuse to promote efficiency and innovation to introduce more effective ways of doing things. 2- Knowledge application refers to the actual use of knowledge that has been captured or created and put into the KM cycle (see Figure 6-1).
The knowledge spiral needs to be completed by successful internalization of knowledge.
These knowledge objects can be explained references, components (programs or text), templates, patterns, or other types of containers. The goal is to reduce the time it takes to complete tasks .
If knowledge workers can easily locate and communicate with individuals in the company that are connected to a given knowledge object (e.g., they are familiar with how it is used, they have been trained, etc.), then the ability to apply or to make use of this knowledge is greatly increased.
A common assumption in the past was that all relevant knowledge could be bundled up in nice, neat, easily accessible packages of “best practices” that practitioners could then “repeat.”  Dixon (2000) outlines factors that affect knowledge transfer:  characteristics of the receiver (skills, shared language, technical knowledge),  the nature of the task (routine, non routine) the type of knowledge being transferred (a continuum from explicit to tacit).
KNOWLEDGE APPLICATION AT THE INDIVIDUAL LEVELCharacteristics of Individual Knowledge Workers  Individual differences play a major role in knowledge-sharing behaviors (Hicks and Tochtermann, 2001).  Knowledge workers vary with respect to their familiarity with the subject matter and their personality and cognitive styles. Cohen and Levinthal (1990) found that sharing is more likely to occur when a foundation of prior relevant knowledge exists.
Characteristics of the individual who is seeking to apply or reuse knowledge are likely to play a role in how effective he or she is at finding, understanding, and making use of organizational knowledge.
The easier it is for a knowledge worker to find, understand, and internalize the knowledge, the greater their success in actually applying this knowledge.  An alternative approach to user modeling is proposed in Figure 6-3.
An alternative approach to user modeling is proposed in Figure 6-3.
There are also systems that monitor users’ tasks online and interpret them in context, based on traces they leave behind. These systems work well for tasks that are well identified and where knowledge can be described in a clear ontology.  In general, this approach is based on a user interacting with a computer system to perform a task that leads to changes in the system.
 The assistance parts themselves can also be reused in the future (see Figure 6-6).  In this way, the system has modeled how users behave when they are undertaking these particular types of tasks.
KNOWLEDGE APPLICATION AT THE INDIVIDUAL LEVELBloom’s Taxonomy of Learning Objectives  Bloom (1956) divided knowledge into a hierarchical design that distinguishes between psychomotor skills: the affective domain (e.g., Feeling, Value, Appreciation, Enthusiasm,Motivation ad attitude ) The cognitive domain (e.g., knowledge) The cognitive domain is more commonly used, although attitudinal changes are often required in knowledge management too.
	The affective domain includes the manner in which we deal with things emotionally, such as feelings, values, appreciation, excitement, motivations, and attitudes.
	Cognitive: the most-used of the domains, refers to knowledge structures (although sheer “knowing the facts” is its bottom level 	The model above is included because it is still common currency.
The Bloom taxonomy serves as a means of determining not only  what knowledge workers are expected to do (usually referred to as skills or expertise) but also the level of performance that is expected (also referred to as mastery level).
The cognitive domain taxonomy is shown in Table 6-1.
The Bloom taxonomy provides a good basis for assessing knowledge application.  KM, simply having accessed content is taken to mean that knowledge workers are using (and reusing) this content.
knowledge fails to be used not because it has not been understood but because the knowledge worker is not convinced that this new best practice or lesson learned represents any significant improvement over the way he or she is already working.
A user model is not enough, however, for the facilitation of knowledge application. We also need to know what the users are doing and what their goals or purposes are in applying this knowledge object.
moreover, we will also require a task model. As with the user model, the task model will serve to better characterize why someone would apply a particular knowledge item.  A user and task-adapted approach is highly recommended in order to facilitate internalization processes.
 KNOWLEDGE APPLICATION AT THE INDIVIDUAL LEVEL Task Analysis and Modeling  Task analysis studies what knowledge workers must do with respect to specific actions to be taken and/or cognitive processes that must be called upon to achieve a particular task (e.g., Preece et al., 1994). The most commonly used method is task decomposition, which breaks down higher-level tasks into their subtasks and operations.  The lower levels may make use of task flow diagrams, decision flowcharts, or even screen layouts to better illustrate the step-by-step process that has to be undertaken in order to complete a task successfully.
The task decomposition can be carried out using the following stages:  	1. Identify the task to be analyzed.  	2. Break this down into four to eight subtasks.  	3. Draw the subtasks as a layered diagram ensuring that it is complete.  	4. Decide upon the level of detail into which to decompose.  	5. Continue the decomposition process, ensuring that the decompositions and numbering are consistent.  	6. Present the analysis to someone else who has not been involved in the decomposition .
Task flow analysis can include details of interactions between the user and the current system, or other individuals, and any problems related to them.
Electronic Performance Support Systems (EPSSs) were and continue to be widely used to provide on-the-job learning and advice.  E-learning is also currently enjoying a high level of usage and can be seen as a subset of EPSS, as described in the next sections.  The EPSS point of view has been revolutionary.
An electronic performance support system can also be described as any computer software program or component that improves employee performance by reducing the complexity or number of steps appropriate for a particular set of conditions (see Figure 6-7).
Content management in KM thus involves breaking down documents into their conceptual components and mapping them out using concept indexes, semantic networks, or hierarchical knowledge taxonomies. Electronic Performance Support Systems can help an organization to reduce the cost of training staff while increasing productivity and performance.  They can empower an employee to perform tasks with a minimum amount of external intervention or training.
KNOWLEDGE APPLICATION AT GROUP AND ORGANIZATIONAL LEVELS   Knowledge management systems (KMSs) are tools aimed at supporting knowledge management.  They evolved from information management tools that integrated many aspects of computer-supported collaborative work (CSCW) environments with information and document management systems (Ganesan, Edmonds, and Spector, 2001; Greif, 1988; Kling, 1991). *	Key characteristics of a KMS are support for:  1. Communication among various users.  2. Coordination of users’ activities.  3. Collaboration among user groups on the creation, modification, and dis­semination of artifacts and products.  4. Control processes to ensure integrity and to track the progress of projects.
The organizational knowledge management architecture will be comprised of at least three levels: data layer, which is the unifying abstraction across different types of data, with potentially different storage mechanisms (e.g., database, text documents, video, audio). process layer, which describes the logic that links the data with its use and its users (other people or other systems who use that data). user interface, which provides access to the information assets of the company via the logic incorporated in the process layer.
   The KM organizational architecture is shown in Figure .
Knowledge Reuse  Reusing knowledge involves recall and recognition, as well as actually apply­ing the knowledge, if we use Bloom’s taxonomy. Reusing knowledge typically begins with the formulation of a search question.

Contenu connexe

Tendances

Knowledge creation and knowledge architecture
Knowledge creation and knowledge architectureKnowledge creation and knowledge architecture
Knowledge creation and knowledge architectureProf. Othman Alsalloum
 
Feeding back diagnostic information by jeff (copy)
Feeding back diagnostic information   by jeff (copy)Feeding back diagnostic information   by jeff (copy)
Feeding back diagnostic information by jeff (copy)jheff arenio
 
Personal intervention
Personal interventionPersonal intervention
Personal interventiongaurav jain
 
Talent management
Talent managementTalent management
Talent managementRiTu Karn
 
Knowledge Management Lecture 4: Models
Knowledge Management Lecture 4: ModelsKnowledge Management Lecture 4: Models
Knowledge Management Lecture 4: ModelsStefan Urbanek
 
LEARNING ORGANISATION
LEARNING ORGANISATIONLEARNING ORGANISATION
LEARNING ORGANISATIONSowmya M
 
Ethics of Organizational Development - Organizational Change and Development...
Ethics of Organizational Development -  Organizational Change and Development...Ethics of Organizational Development -  Organizational Change and Development...
Ethics of Organizational Development - Organizational Change and Development...manumelwin
 
Investment perspective of human resource management
Investment perspective of human resource managementInvestment perspective of human resource management
Investment perspective of human resource managementSeredup Maya
 
Organizational design and structure
Organizational design and structureOrganizational design and structure
Organizational design and structureAndrew Paul
 
Knowledge Management
Knowledge ManagementKnowledge Management
Knowledge ManagementSivathanu N
 
Organizational learning theory
Organizational learning theory Organizational learning theory
Organizational learning theory Maria Romanova
 
Organizational diagnosis ppt
Organizational diagnosis pptOrganizational diagnosis ppt
Organizational diagnosis pptNandu Warrier
 
Organizational Development
Organizational DevelopmentOrganizational Development
Organizational DevelopmentAshit Jain
 
Organisational Development Interventions
Organisational Development InterventionsOrganisational Development Interventions
Organisational Development InterventionsGheethu Joy
 
Issues in c c relationships
Issues in c c relationshipsIssues in c c relationships
Issues in c c relationshipsHeena Gundeep
 
Principles of knowledge management
Principles of knowledge managementPrinciples of knowledge management
Principles of knowledge managementsaurabh kaushik
 

Tendances (20)

Knowledge creation and knowledge architecture
Knowledge creation and knowledge architectureKnowledge creation and knowledge architecture
Knowledge creation and knowledge architecture
 
Feeding back diagnostic information by jeff (copy)
Feeding back diagnostic information   by jeff (copy)Feeding back diagnostic information   by jeff (copy)
Feeding back diagnostic information by jeff (copy)
 
Personal intervention
Personal interventionPersonal intervention
Personal intervention
 
Talent management
Talent managementTalent management
Talent management
 
Knowledge Management Lecture 4: Models
Knowledge Management Lecture 4: ModelsKnowledge Management Lecture 4: Models
Knowledge Management Lecture 4: Models
 
Institutional strategies for dealing with Talent Management
Institutional strategies for dealing with Talent ManagementInstitutional strategies for dealing with Talent Management
Institutional strategies for dealing with Talent Management
 
Management development
Management developmentManagement development
Management development
 
LEARNING ORGANISATION
LEARNING ORGANISATIONLEARNING ORGANISATION
LEARNING ORGANISATION
 
Ethics of Organizational Development - Organizational Change and Development...
Ethics of Organizational Development -  Organizational Change and Development...Ethics of Organizational Development -  Organizational Change and Development...
Ethics of Organizational Development - Organizational Change and Development...
 
Investment perspective of human resource management
Investment perspective of human resource managementInvestment perspective of human resource management
Investment perspective of human resource management
 
Organizational design and structure
Organizational design and structureOrganizational design and structure
Organizational design and structure
 
Chapter 6 km knowledge app
Chapter 6 km knowledge appChapter 6 km knowledge app
Chapter 6 km knowledge app
 
Knowledge Management
Knowledge ManagementKnowledge Management
Knowledge Management
 
Organizational learning theory
Organizational learning theory Organizational learning theory
Organizational learning theory
 
Organizational Learning
Organizational LearningOrganizational Learning
Organizational Learning
 
Organizational diagnosis ppt
Organizational diagnosis pptOrganizational diagnosis ppt
Organizational diagnosis ppt
 
Organizational Development
Organizational DevelopmentOrganizational Development
Organizational Development
 
Organisational Development Interventions
Organisational Development InterventionsOrganisational Development Interventions
Organisational Development Interventions
 
Issues in c c relationships
Issues in c c relationshipsIssues in c c relationships
Issues in c c relationships
 
Principles of knowledge management
Principles of knowledge managementPrinciples of knowledge management
Principles of knowledge management
 

Similaire à Km knowledge application.11

Collaborative Learning of Organisational Knolwedge
Collaborative Learning of Organisational KnolwedgeCollaborative Learning of Organisational Knolwedge
Collaborative Learning of Organisational KnolwedgeWaqas Tariq
 
Cognitive aspects in human computer interaction
Cognitive aspects in human computer interactionCognitive aspects in human computer interaction
Cognitive aspects in human computer interactionpavishkumarsingh
 
Implementation of different tutoring system to enhance student learning
Implementation of different tutoring system to enhance student learningImplementation of different tutoring system to enhance student learning
Implementation of different tutoring system to enhance student learningijctet
 
Semantically Enchanced Personalised Adaptive E-Learning for General and Dysle...
Semantically Enchanced Personalised Adaptive E-Learning for General and Dysle...Semantically Enchanced Personalised Adaptive E-Learning for General and Dysle...
Semantically Enchanced Personalised Adaptive E-Learning for General and Dysle...Eswar Publications
 
Knowledge management process models for knowledge maps
Knowledge management process models for knowledge mapsKnowledge management process models for knowledge maps
Knowledge management process models for knowledge mapsWalaiporn Mahamai
 
DALL-E 2 - OpenAI imagery automation first developed by Vishal Coodye in 2021...
DALL-E 2 - OpenAI imagery automation first developed by Vishal Coodye in 2021...DALL-E 2 - OpenAI imagery automation first developed by Vishal Coodye in 2021...
DALL-E 2 - OpenAI imagery automation first developed by Vishal Coodye in 2021...MITAILibrary
 
Ejemplo artículonormasapa plantilla
Ejemplo artículonormasapa plantillaEjemplo artículonormasapa plantilla
Ejemplo artículonormasapa plantillaMilcon Montenegro
 
Smudie project discussion document
Smudie project discussion documentSmudie project discussion document
Smudie project discussion documentTony Toole
 
An Analytical Study on Knowledge Sharing within the Organization
An Analytical Study on Knowledge Sharing within the OrganizationAn Analytical Study on Knowledge Sharing within the Organization
An Analytical Study on Knowledge Sharing within the Organizationijcnes
 
Information Architecture Techniques and Best Practices
Information Architecture Techniques and Best PracticesInformation Architecture Techniques and Best Practices
Information Architecture Techniques and Best PracticesChris Furton
 
Module 3 - HomeTeam Norms and ProceduresModular Learning O.docx
Module 3 - HomeTeam Norms and ProceduresModular Learning O.docxModule 3 - HomeTeam Norms and ProceduresModular Learning O.docx
Module 3 - HomeTeam Norms and ProceduresModular Learning O.docxroushhsiu
 
Assessing The Tangible And Intangible Impacts Of The Convergence Of E-Learnin...
Assessing The Tangible And Intangible Impacts Of The Convergence Of E-Learnin...Assessing The Tangible And Intangible Impacts Of The Convergence Of E-Learnin...
Assessing The Tangible And Intangible Impacts Of The Convergence Of E-Learnin...ijistjournal
 
Applying user modelling to human computer interaction design
Applying user modelling to human computer interaction designApplying user modelling to human computer interaction design
Applying user modelling to human computer interaction designNika Stuard
 
Assessing The Tangible And Intangible Impacts Of The Convergence Of E-Learnin...
Assessing The Tangible And Intangible Impacts Of The Convergence Of E-Learnin...Assessing The Tangible And Intangible Impacts Of The Convergence Of E-Learnin...
Assessing The Tangible And Intangible Impacts Of The Convergence Of E-Learnin...ijistjournal
 
2015_CTI_BSc-IT_Module-Description_Final1
2015_CTI_BSc-IT_Module-Description_Final12015_CTI_BSc-IT_Module-Description_Final1
2015_CTI_BSc-IT_Module-Description_Final1Moses75
 
Creating a Learning Technology Roadmap: Maximizing Efficiency While Boosting ...
Creating a Learning Technology Roadmap: Maximizing Efficiency While Boosting ...Creating a Learning Technology Roadmap: Maximizing Efficiency While Boosting ...
Creating a Learning Technology Roadmap: Maximizing Efficiency While Boosting ...Cognizant
 
Learner Model's Utilization in the e-Learning Environments
Learner Model's Utilization in the e-Learning EnvironmentsLearner Model's Utilization in the e-Learning Environments
Learner Model's Utilization in the e-Learning Environmentseraser Juan José Calderón
 

Similaire à Km knowledge application.11 (20)

Collaborative Learning of Organisational Knolwedge
Collaborative Learning of Organisational KnolwedgeCollaborative Learning of Organisational Knolwedge
Collaborative Learning of Organisational Knolwedge
 
Cognitive aspects in human computer interaction
Cognitive aspects in human computer interactionCognitive aspects in human computer interaction
Cognitive aspects in human computer interaction
 
Ijcet 06 09_003
Ijcet 06 09_003Ijcet 06 09_003
Ijcet 06 09_003
 
Intelligent tutoring systems
Intelligent  tutoring  systemsIntelligent  tutoring  systems
Intelligent tutoring systems
 
Implementation of different tutoring system to enhance student learning
Implementation of different tutoring system to enhance student learningImplementation of different tutoring system to enhance student learning
Implementation of different tutoring system to enhance student learning
 
Semantically Enchanced Personalised Adaptive E-Learning for General and Dysle...
Semantically Enchanced Personalised Adaptive E-Learning for General and Dysle...Semantically Enchanced Personalised Adaptive E-Learning for General and Dysle...
Semantically Enchanced Personalised Adaptive E-Learning for General and Dysle...
 
Knowledge management process models for knowledge maps
Knowledge management process models for knowledge mapsKnowledge management process models for knowledge maps
Knowledge management process models for knowledge maps
 
DALL-E 2 - OpenAI imagery automation first developed by Vishal Coodye in 2021...
DALL-E 2 - OpenAI imagery automation first developed by Vishal Coodye in 2021...DALL-E 2 - OpenAI imagery automation first developed by Vishal Coodye in 2021...
DALL-E 2 - OpenAI imagery automation first developed by Vishal Coodye in 2021...
 
Ejemplo artículonormasapa plantilla
Ejemplo artículonormasapa plantillaEjemplo artículonormasapa plantilla
Ejemplo artículonormasapa plantilla
 
Smudie project discussion document
Smudie project discussion documentSmudie project discussion document
Smudie project discussion document
 
An Analytical Study on Knowledge Sharing within the Organization
An Analytical Study on Knowledge Sharing within the OrganizationAn Analytical Study on Knowledge Sharing within the Organization
An Analytical Study on Knowledge Sharing within the Organization
 
Information Architecture Techniques and Best Practices
Information Architecture Techniques and Best PracticesInformation Architecture Techniques and Best Practices
Information Architecture Techniques and Best Practices
 
Module 3 - HomeTeam Norms and ProceduresModular Learning O.docx
Module 3 - HomeTeam Norms and ProceduresModular Learning O.docxModule 3 - HomeTeam Norms and ProceduresModular Learning O.docx
Module 3 - HomeTeam Norms and ProceduresModular Learning O.docx
 
Assessing The Tangible And Intangible Impacts Of The Convergence Of E-Learnin...
Assessing The Tangible And Intangible Impacts Of The Convergence Of E-Learnin...Assessing The Tangible And Intangible Impacts Of The Convergence Of E-Learnin...
Assessing The Tangible And Intangible Impacts Of The Convergence Of E-Learnin...
 
Applying user modelling to human computer interaction design
Applying user modelling to human computer interaction designApplying user modelling to human computer interaction design
Applying user modelling to human computer interaction design
 
Assessing The Tangible And Intangible Impacts Of The Convergence Of E-Learnin...
Assessing The Tangible And Intangible Impacts Of The Convergence Of E-Learnin...Assessing The Tangible And Intangible Impacts Of The Convergence Of E-Learnin...
Assessing The Tangible And Intangible Impacts Of The Convergence Of E-Learnin...
 
2015_CTI_BSc-IT_Module-Description_Final1
2015_CTI_BSc-IT_Module-Description_Final12015_CTI_BSc-IT_Module-Description_Final1
2015_CTI_BSc-IT_Module-Description_Final1
 
ICWL 2009
ICWL 2009ICWL 2009
ICWL 2009
 
Creating a Learning Technology Roadmap: Maximizing Efficiency While Boosting ...
Creating a Learning Technology Roadmap: Maximizing Efficiency While Boosting ...Creating a Learning Technology Roadmap: Maximizing Efficiency While Boosting ...
Creating a Learning Technology Roadmap: Maximizing Efficiency While Boosting ...
 
Learner Model's Utilization in the e-Learning Environments
Learner Model's Utilization in the e-Learning EnvironmentsLearner Model's Utilization in the e-Learning Environments
Learner Model's Utilization in the e-Learning Environments
 

Dernier

Beauty Amidst the Bytes_ Unearthing Unexpected Advantages of the Digital Wast...
Beauty Amidst the Bytes_ Unearthing Unexpected Advantages of the Digital Wast...Beauty Amidst the Bytes_ Unearthing Unexpected Advantages of the Digital Wast...
Beauty Amidst the Bytes_ Unearthing Unexpected Advantages of the Digital Wast...DhatriParmar
 
Active Learning Strategies (in short ALS).pdf
Active Learning Strategies (in short ALS).pdfActive Learning Strategies (in short ALS).pdf
Active Learning Strategies (in short ALS).pdfPatidar M
 
4.9.24 School Desegregation in Boston.pptx
4.9.24 School Desegregation in Boston.pptx4.9.24 School Desegregation in Boston.pptx
4.9.24 School Desegregation in Boston.pptxmary850239
 
DIFFERENT BASKETRY IN THE PHILIPPINES PPT.pptx
DIFFERENT BASKETRY IN THE PHILIPPINES PPT.pptxDIFFERENT BASKETRY IN THE PHILIPPINES PPT.pptx
DIFFERENT BASKETRY IN THE PHILIPPINES PPT.pptxMichelleTuguinay1
 
Grade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdf
Grade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdfGrade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdf
Grade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdfJemuel Francisco
 
Oppenheimer Film Discussion for Philosophy and Film
Oppenheimer Film Discussion for Philosophy and FilmOppenheimer Film Discussion for Philosophy and Film
Oppenheimer Film Discussion for Philosophy and FilmStan Meyer
 
ClimART Action | eTwinning Project
ClimART Action    |    eTwinning ProjectClimART Action    |    eTwinning Project
ClimART Action | eTwinning Projectjordimapav
 
How to Fix XML SyntaxError in Odoo the 17
How to Fix XML SyntaxError in Odoo the 17How to Fix XML SyntaxError in Odoo the 17
How to Fix XML SyntaxError in Odoo the 17Celine George
 
Expanded definition: technical and operational
Expanded definition: technical and operationalExpanded definition: technical and operational
Expanded definition: technical and operationalssuser3e220a
 
Q-Factor HISPOL Quiz-6th April 2024, Quiz Club NITW
Q-Factor HISPOL Quiz-6th April 2024, Quiz Club NITWQ-Factor HISPOL Quiz-6th April 2024, Quiz Club NITW
Q-Factor HISPOL Quiz-6th April 2024, Quiz Club NITWQuiz Club NITW
 
How to Manage Buy 3 Get 1 Free in Odoo 17
How to Manage Buy 3 Get 1 Free in Odoo 17How to Manage Buy 3 Get 1 Free in Odoo 17
How to Manage Buy 3 Get 1 Free in Odoo 17Celine George
 
CLASSIFICATION OF ANTI - CANCER DRUGS.pptx
CLASSIFICATION OF ANTI - CANCER DRUGS.pptxCLASSIFICATION OF ANTI - CANCER DRUGS.pptx
CLASSIFICATION OF ANTI - CANCER DRUGS.pptxAnupam32727
 
Narcotic and Non Narcotic Analgesic..pdf
Narcotic and Non Narcotic Analgesic..pdfNarcotic and Non Narcotic Analgesic..pdf
Narcotic and Non Narcotic Analgesic..pdfPrerana Jadhav
 
Decoding the Tweet _ Practical Criticism in the Age of Hashtag.pptx
Decoding the Tweet _ Practical Criticism in the Age of Hashtag.pptxDecoding the Tweet _ Practical Criticism in the Age of Hashtag.pptx
Decoding the Tweet _ Practical Criticism in the Age of Hashtag.pptxDhatriParmar
 
How to Make a Duplicate of Your Odoo 17 Database
How to Make a Duplicate of Your Odoo 17 DatabaseHow to Make a Duplicate of Your Odoo 17 Database
How to Make a Duplicate of Your Odoo 17 DatabaseCeline George
 
31 ĐỀ THI THỬ VÀO LỚP 10 - TIẾNG ANH - FORM MỚI 2025 - 40 CÂU HỎI - BÙI VĂN V...
31 ĐỀ THI THỬ VÀO LỚP 10 - TIẾNG ANH - FORM MỚI 2025 - 40 CÂU HỎI - BÙI VĂN V...31 ĐỀ THI THỬ VÀO LỚP 10 - TIẾNG ANH - FORM MỚI 2025 - 40 CÂU HỎI - BÙI VĂN V...
31 ĐỀ THI THỬ VÀO LỚP 10 - TIẾNG ANH - FORM MỚI 2025 - 40 CÂU HỎI - BÙI VĂN V...Nguyen Thanh Tu Collection
 
Scientific Writing :Research Discourse
Scientific  Writing :Research  DiscourseScientific  Writing :Research  Discourse
Scientific Writing :Research DiscourseAnita GoswamiGiri
 
Transaction Management in Database Management System
Transaction Management in Database Management SystemTransaction Management in Database Management System
Transaction Management in Database Management SystemChristalin Nelson
 
ARTERIAL BLOOD GAS ANALYSIS........pptx
ARTERIAL BLOOD  GAS ANALYSIS........pptxARTERIAL BLOOD  GAS ANALYSIS........pptx
ARTERIAL BLOOD GAS ANALYSIS........pptxAneriPatwari
 

Dernier (20)

Beauty Amidst the Bytes_ Unearthing Unexpected Advantages of the Digital Wast...
Beauty Amidst the Bytes_ Unearthing Unexpected Advantages of the Digital Wast...Beauty Amidst the Bytes_ Unearthing Unexpected Advantages of the Digital Wast...
Beauty Amidst the Bytes_ Unearthing Unexpected Advantages of the Digital Wast...
 
Active Learning Strategies (in short ALS).pdf
Active Learning Strategies (in short ALS).pdfActive Learning Strategies (in short ALS).pdf
Active Learning Strategies (in short ALS).pdf
 
4.9.24 School Desegregation in Boston.pptx
4.9.24 School Desegregation in Boston.pptx4.9.24 School Desegregation in Boston.pptx
4.9.24 School Desegregation in Boston.pptx
 
DIFFERENT BASKETRY IN THE PHILIPPINES PPT.pptx
DIFFERENT BASKETRY IN THE PHILIPPINES PPT.pptxDIFFERENT BASKETRY IN THE PHILIPPINES PPT.pptx
DIFFERENT BASKETRY IN THE PHILIPPINES PPT.pptx
 
Grade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdf
Grade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdfGrade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdf
Grade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdf
 
Oppenheimer Film Discussion for Philosophy and Film
Oppenheimer Film Discussion for Philosophy and FilmOppenheimer Film Discussion for Philosophy and Film
Oppenheimer Film Discussion for Philosophy and Film
 
ClimART Action | eTwinning Project
ClimART Action    |    eTwinning ProjectClimART Action    |    eTwinning Project
ClimART Action | eTwinning Project
 
How to Fix XML SyntaxError in Odoo the 17
How to Fix XML SyntaxError in Odoo the 17How to Fix XML SyntaxError in Odoo the 17
How to Fix XML SyntaxError in Odoo the 17
 
Expanded definition: technical and operational
Expanded definition: technical and operationalExpanded definition: technical and operational
Expanded definition: technical and operational
 
Q-Factor HISPOL Quiz-6th April 2024, Quiz Club NITW
Q-Factor HISPOL Quiz-6th April 2024, Quiz Club NITWQ-Factor HISPOL Quiz-6th April 2024, Quiz Club NITW
Q-Factor HISPOL Quiz-6th April 2024, Quiz Club NITW
 
How to Manage Buy 3 Get 1 Free in Odoo 17
How to Manage Buy 3 Get 1 Free in Odoo 17How to Manage Buy 3 Get 1 Free in Odoo 17
How to Manage Buy 3 Get 1 Free in Odoo 17
 
CLASSIFICATION OF ANTI - CANCER DRUGS.pptx
CLASSIFICATION OF ANTI - CANCER DRUGS.pptxCLASSIFICATION OF ANTI - CANCER DRUGS.pptx
CLASSIFICATION OF ANTI - CANCER DRUGS.pptx
 
Narcotic and Non Narcotic Analgesic..pdf
Narcotic and Non Narcotic Analgesic..pdfNarcotic and Non Narcotic Analgesic..pdf
Narcotic and Non Narcotic Analgesic..pdf
 
Decoding the Tweet _ Practical Criticism in the Age of Hashtag.pptx
Decoding the Tweet _ Practical Criticism in the Age of Hashtag.pptxDecoding the Tweet _ Practical Criticism in the Age of Hashtag.pptx
Decoding the Tweet _ Practical Criticism in the Age of Hashtag.pptx
 
Paradigm shift in nursing research by RS MEHTA
Paradigm shift in nursing research by RS MEHTAParadigm shift in nursing research by RS MEHTA
Paradigm shift in nursing research by RS MEHTA
 
How to Make a Duplicate of Your Odoo 17 Database
How to Make a Duplicate of Your Odoo 17 DatabaseHow to Make a Duplicate of Your Odoo 17 Database
How to Make a Duplicate of Your Odoo 17 Database
 
31 ĐỀ THI THỬ VÀO LỚP 10 - TIẾNG ANH - FORM MỚI 2025 - 40 CÂU HỎI - BÙI VĂN V...
31 ĐỀ THI THỬ VÀO LỚP 10 - TIẾNG ANH - FORM MỚI 2025 - 40 CÂU HỎI - BÙI VĂN V...31 ĐỀ THI THỬ VÀO LỚP 10 - TIẾNG ANH - FORM MỚI 2025 - 40 CÂU HỎI - BÙI VĂN V...
31 ĐỀ THI THỬ VÀO LỚP 10 - TIẾNG ANH - FORM MỚI 2025 - 40 CÂU HỎI - BÙI VĂN V...
 
Scientific Writing :Research Discourse
Scientific  Writing :Research  DiscourseScientific  Writing :Research  Discourse
Scientific Writing :Research Discourse
 
Transaction Management in Database Management System
Transaction Management in Database Management SystemTransaction Management in Database Management System
Transaction Management in Database Management System
 
ARTERIAL BLOOD GAS ANALYSIS........pptx
ARTERIAL BLOOD  GAS ANALYSIS........pptxARTERIAL BLOOD  GAS ANALYSIS........pptx
ARTERIAL BLOOD GAS ANALYSIS........pptx
 

Km knowledge application.11

  • 1. 6-KNOWLEDGE APPLICATION LEILA JANNATI MOHAMMAD ALI ABBASI Knowledge Management in Theory and Practice
  • 2. CONTENTS BOOK INTRODUCTION TO KNOWLEDGE MANAGEMENT IN THEORY AND PRACTICE 2. THE KNOWLEDGE MANAGEMENT CYCLE Learning Objectives 3. KNOWLEDGE MANAGEMENT MODELS Learning Objectives 4. KNOWLEDGE CAPTURE AND CODIFICATION Learning Objectives 5. KNOWLEDGE SHARING AND COMMUNITIES OF PRACTICE 6. KNOWLEDGE APPLICATION Learning Objectives 7. THE ROLE OF ORGANIZATIONAL CULTURE Learning Objectives 8. KNOWLEDGE MANAGEMENT TOOLS Learning Objectives 9. KM STRATEGY AND METRICS Learning Objectives 10. THE KM TEAM Learning Objectives 11. FUTURE CHALLENGES FOR KM Learning Objectives
  • 3. This chapter brings us to the final step in the knowledge management cycle when the knowledge that has been captured, coded, shared, and otherwise made available is put to actual use.
  • 4. LEARNING OBJECTIVES 1. Understand how user and task modeling approaches can help promote effective knowledge use at the individual, group, and organizational level. 2. Describe how an organizational knowledge management architecture is designed. 3. Define organizational learning and describe the links between individual and organizational learning. 4. Compare and contrast learning and understanding with internalization of knowledge. 5. List the different knowledge support technologies that can help users put knowledge into action.
  • 5. INTRODUCTION Knowledge management typically addresses one of two general objectives: 1-Knowledge reuse to promote efficiency and innovation to introduce more effective ways of doing things. 2- Knowledge application refers to the actual use of knowledge that has been captured or created and put into the KM cycle (see Figure 6-1).
  • 6. The knowledge spiral needs to be completed by successful internalization of knowledge.
  • 7. These knowledge objects can be explained references, components (programs or text), templates, patterns, or other types of containers. The goal is to reduce the time it takes to complete tasks .
  • 8. If knowledge workers can easily locate and communicate with individuals in the company that are connected to a given knowledge object (e.g., they are familiar with how it is used, they have been trained, etc.), then the ability to apply or to make use of this knowledge is greatly increased.
  • 9. A common assumption in the past was that all relevant knowledge could be bundled up in nice, neat, easily accessible packages of “best practices” that practitioners could then “repeat.” Dixon (2000) outlines factors that affect knowledge transfer: characteristics of the receiver (skills, shared language, technical knowledge), the nature of the task (routine, non routine) the type of knowledge being transferred (a continuum from explicit to tacit).
  • 10. KNOWLEDGE APPLICATION AT THE INDIVIDUAL LEVELCharacteristics of Individual Knowledge Workers Individual differences play a major role in knowledge-sharing behaviors (Hicks and Tochtermann, 2001). Knowledge workers vary with respect to their familiarity with the subject matter and their personality and cognitive styles. Cohen and Levinthal (1990) found that sharing is more likely to occur when a foundation of prior relevant knowledge exists.
  • 11. Characteristics of the individual who is seeking to apply or reuse knowledge are likely to play a role in how effective he or she is at finding, understanding, and making use of organizational knowledge.
  • 12. The easier it is for a knowledge worker to find, understand, and internalize the knowledge, the greater their success in actually applying this knowledge. An alternative approach to user modeling is proposed in Figure 6-3.
  • 13. An alternative approach to user modeling is proposed in Figure 6-3.
  • 14. There are also systems that monitor users’ tasks online and interpret them in context, based on traces they leave behind. These systems work well for tasks that are well identified and where knowledge can be described in a clear ontology. In general, this approach is based on a user interacting with a computer system to perform a task that leads to changes in the system.
  • 15. The assistance parts themselves can also be reused in the future (see Figure 6-6). In this way, the system has modeled how users behave when they are undertaking these particular types of tasks.
  • 16. KNOWLEDGE APPLICATION AT THE INDIVIDUAL LEVELBloom’s Taxonomy of Learning Objectives Bloom (1956) divided knowledge into a hierarchical design that distinguishes between psychomotor skills: the affective domain (e.g., Feeling, Value, Appreciation, Enthusiasm,Motivation ad attitude ) The cognitive domain (e.g., knowledge) The cognitive domain is more commonly used, although attitudinal changes are often required in knowledge management too.
  • 17. The affective domain includes the manner in which we deal with things emotionally, such as feelings, values, appreciation, excitement, motivations, and attitudes.
  • 18. Cognitive: the most-used of the domains, refers to knowledge structures (although sheer “knowing the facts” is its bottom level The model above is included because it is still common currency.
  • 19. The Bloom taxonomy serves as a means of determining not only what knowledge workers are expected to do (usually referred to as skills or expertise) but also the level of performance that is expected (also referred to as mastery level).
  • 20. The cognitive domain taxonomy is shown in Table 6-1.
  • 21. The Bloom taxonomy provides a good basis for assessing knowledge application. KM, simply having accessed content is taken to mean that knowledge workers are using (and reusing) this content.
  • 22. knowledge fails to be used not because it has not been understood but because the knowledge worker is not convinced that this new best practice or lesson learned represents any significant improvement over the way he or she is already working.
  • 23. A user model is not enough, however, for the facilitation of knowledge application. We also need to know what the users are doing and what their goals or purposes are in applying this knowledge object.
  • 24. moreover, we will also require a task model. As with the user model, the task model will serve to better characterize why someone would apply a particular knowledge item. A user and task-adapted approach is highly recommended in order to facilitate internalization processes.
  • 25.  KNOWLEDGE APPLICATION AT THE INDIVIDUAL LEVEL Task Analysis and Modeling Task analysis studies what knowledge workers must do with respect to specific actions to be taken and/or cognitive processes that must be called upon to achieve a particular task (e.g., Preece et al., 1994). The most commonly used method is task decomposition, which breaks down higher-level tasks into their subtasks and operations. The lower levels may make use of task flow diagrams, decision flowcharts, or even screen layouts to better illustrate the step-by-step process that has to be undertaken in order to complete a task successfully.
  • 26. The task decomposition can be carried out using the following stages: 1. Identify the task to be analyzed. 2. Break this down into four to eight subtasks. 3. Draw the subtasks as a layered diagram ensuring that it is complete. 4. Decide upon the level of detail into which to decompose. 5. Continue the decomposition process, ensuring that the decompositions and numbering are consistent. 6. Present the analysis to someone else who has not been involved in the decomposition .
  • 27. Task flow analysis can include details of interactions between the user and the current system, or other individuals, and any problems related to them.
  • 28. Electronic Performance Support Systems (EPSSs) were and continue to be widely used to provide on-the-job learning and advice. E-learning is also currently enjoying a high level of usage and can be seen as a subset of EPSS, as described in the next sections. The EPSS point of view has been revolutionary.
  • 29. An electronic performance support system can also be described as any computer software program or component that improves employee performance by reducing the complexity or number of steps appropriate for a particular set of conditions (see Figure 6-7).
  • 30.
  • 31. Content management in KM thus involves breaking down documents into their conceptual components and mapping them out using concept indexes, semantic networks, or hierarchical knowledge taxonomies. Electronic Performance Support Systems can help an organization to reduce the cost of training staff while increasing productivity and performance. They can empower an employee to perform tasks with a minimum amount of external intervention or training.
  • 32. KNOWLEDGE APPLICATION AT GROUP AND ORGANIZATIONAL LEVELS   Knowledge management systems (KMSs) are tools aimed at supporting knowledge management. They evolved from information management tools that integrated many aspects of computer-supported collaborative work (CSCW) environments with information and document management systems (Ganesan, Edmonds, and Spector, 2001; Greif, 1988; Kling, 1991). * Key characteristics of a KMS are support for: 1. Communication among various users. 2. Coordination of users’ activities. 3. Collaboration among user groups on the creation, modification, and dis­semination of artifacts and products. 4. Control processes to ensure integrity and to track the progress of projects.
  • 33. The organizational knowledge management architecture will be comprised of at least three levels: data layer, which is the unifying abstraction across different types of data, with potentially different storage mechanisms (e.g., database, text documents, video, audio). process layer, which describes the logic that links the data with its use and its users (other people or other systems who use that data). user interface, which provides access to the information assets of the company via the logic incorporated in the process layer.
  • 34. The KM organizational architecture is shown in Figure .
  • 35. Knowledge Reuse Reusing knowledge involves recall and recognition, as well as actually apply­ing the knowledge, if we use Bloom’s taxonomy. Reusing knowledge typically begins with the formulation of a search question.
  • 36. There are three major roles required for knowledge reuse: knowledge producer, the person who produced or documented the knowledge object. knowledge intermediary, who prepares knowledge for reuse by indexing, sanitizing, packaging, and even marketing the knowledge object. knowledge reuser, who retrieves, understands, and applies it.
  • 37. Markus (2001) suggests there are four distinct types of knowledge reuse situations according to the individual who is doing the reusing and the purpose of knowledge reuse. The four reuse situations are: 1. Shared work producers 2. Shared work practitioners 3. Expertise-seeking novices. 4. Secondary knowledge miners.
  • 38. Shared work producers usually consist of teams or workgroups that have collaborated together. Shared work practitioners are members of the same community of practice. They are peers who share a profession. Expertise-seeking novices are often in a learning scenario. Unlike the previous two types of reusers, novices are the most distant or different from the knowledge object authors and those experienced with its use. Secondary knowledge miners are analysts who attempt to extract interesting and hopefully meaningful patterns by studying knowledge repository use.
  • 39. STRATEGIC IMPLICATIONS OF KNOWLEDGE APPLICATION Knowledge application implies that employees in an organization can quickly find answers to the following types of questions: What have we already written or published on this topic? Who are the experts in this area, and how can I contact them? Have any of our partners, contacts, and clients addressed these issues? What sources did we use to prepare the publications on this topic? What are the best websites or internal databases to find more information? How can I add my own experience in applying this particular piece of knowledge?   A knowledge repository should be a one-stop shop for knowledge application. Employees should be able to find out what they need in order to access, understand, and apply the cumulative experience and expertise of the organization.
  • 40. PRACTICAL IMPLICATIONS OF KNOWLEDGE APPLICATION Create an organizational knowledge base to house the intellectual assets. Create a corporate yellow pages so that knowledge workers can find out who is knowledgeable in which areas of expertise. Capture best practices and lessons learned and make them available to all others in the organization via the knowledge base. Empower a Chief Knowledge Officer to develop and implement a KM strategy for the organization. Ensure that the organizational culture will help facilitate the key phases required for the KM cycle (to capture, create, share, disseminate, acquire, and apply valuable knowledge). Make sure that it is fairly easy to continually update and feed the corporate memory. ideas fosters the cooperation and innovation that is critical to a learning organization.

Notes de l'éditeur

  1. If this step is not accomplished successfully, all of the KM efforts will have been in vain, for KM can succeed only if the knowledge is used.