A System Approach to Knowledge Creation and …...A Holistic Approach Helps establish goals and...

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A System Approach to Knowledge Creation and Valuation (Business Reasoning , Analytics & Instructional Network) Dr. Annie Green The George Washington University 5/15/2012

Transcript of A System Approach to Knowledge Creation and …...A Holistic Approach Helps establish goals and...

Page 1: A System Approach to Knowledge Creation and …...A Holistic Approach Helps establish goals and decision-making that is based on what organizations know or need to know to be successful.

A System Approach to

Knowledge Creation and

Valuation (Business Reasoning , Analytics & Instructional Network)

Dr. Annie Green

The George Washington University

5/15/2012

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Why Knowledge Management?

Knowledge is fast becoming a

primary factor of production (e.g.,

Handy, 1989, 1994; Peter, 1993; Drucker, 1992)

Intangible assets have

surfaced as a major player in

the market valuation of

today’s business enterprise.

However, no standardized,

consistently agreed upon

method exists to account

for intangible assets in a

business enterprise

Why Knowledge Creation & Valuation

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What is the driver for the need to account for intangible assets?

Why is there a need to account for intangible assets?

Intangible assets account for 70% of the value of a business enterprise and they are

not adequately represented in current accounting methodologies (GAAP).

There is increasing discrepancy between the market values of many corporations

and the values of their shareholder equity when measuring their book value in

accordance with GAAP. For every one dollar on a companies books, there are at

least five dollars unaccounted for.

We are in the information age, which is dominated by service

Services have increased steadily as a share of measured total output in the economy and

the delivery of high-end skilled services and professional services involves substantial

input of intangibles.

Capital accumulation has more than doubled in the last 10 years and the bulk of this

growth is attributed to information technology

Why Knowledge Management? Why Account for Intangible Assets

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Engineering Knowledge Creation &

Valuation

An Engineering Model that decomposes

knowledge components such that we

can monitor vital signs that indicate

risks of success or failure in decision

making.

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A Holistic Approach

Helps establish goals and decision-making that is based on what organizations know or need to know to be successful.

a holistic approach realizes that individual changes can affect other components, as they function as a whole.

the evolution of knowledge is a complex system that must be engineered such that we can create stochastic models and be agile in our decision making.

knowledge provides us a basis to make decisions under increased certainty that our expected outcome will be achieved.

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All too often, we move forward with just a single piece of a

puzzle

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Framework of Intangible Valuation Areas (FIVA) provides a

structure for an organization to map its value components to a

specific value driver

Business Enterprise Value Sources

Sources of Non-Financial Indicators and Indices

Balance Scorecard Models

+

= Initial Integrated Set of Sources of Intangible Assets

Business Enterprise Value Sources

_ Redundancy

= COMPETITOR CUSTOMER EMPLOYEE INFORMATION PARTNER PROCESS

PRODUCT

/SERVICE TECHNOLOGY

Framework of Intangible Valuation Areas (FIVA)

To define and codify common principle valuation sources of intangible

assets for use in enterprise valuation practices

Synthesis of Models

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Valuation Components

The economic value that results from:

Customer - associations an enterprise has built with consumer of its goods

and services

Competitor - position an enterprise has built in the business market place

Employee - collective capabilities of an enterprise’s employees

Information - ability to collect and disseminate its information and

knowledge in the right form and content to the right people at the right time

Partner - associations and enterprise has established with external

individuals and organizations in pursuit of advantageous outcomes

Process - ability to leverage the ways in which the enterprise operates and

creates value for its employees and customers

Product/Service - ability to develop and deliver its offerings that reflects an

understanding of market and customer(s) requirements, expectations and

desires

Technology - hardware and software and enterprise has invested in to

support its operations, management and further renewal

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Capacity (Measurements and Indicators)

Capacity Drivers •Resource Capability •Baseline Capacity Measures •Capacity Deployment •Capacity Utilization Measures •Time Frame of Analysis •Organizational Focus and Capacity

Intangible Valuation Components

Framework of Intangible Valuation Areas

(FIVA)

COMPETITOR CUSTOMER EMPLOYEE INFORMATION PARTNER PROCESS PRODUCT

/SERVICE TECHNOLOGY

Body of Intelligence

Operational Data Bases

(Financial &Non-Financial)

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Evolution of Value

COMPETITOR CUSTOMER EMPLOYEE INFORMATION PARTNER PROCESS PRODUCT

/SERVICE TECHNOLOGY

Framework of Intangible Valuation Areas (FIVA)

Intelligence Representation

Intelligence Capture

Knowledge Assurance

Knowledge Capture

Knowledge Retention

Knowledge Transfer

Knowledge Utilization

Knowledge Evaluation

Knowledge Representation

INTELLIGENCE

KNOWLEDGE

LEARNING

CHANGE

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Enterprise

Goals/Objectives

Performance

Measurement

Intelligence

Knowledge

Learning

Change

Innovation

Intellectual Capital

Intellectual Assets

Intellectual Property

Evolution of Value

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Theoretical Model of Intangible Valuation

A holistic approach using the following components: System – construction maps that detail the coherent picture of the value components that

drive the performance.

Cognitive – identification of value drivers that support the understanding and construction of mental models that make sense of the education system and what guides the decisions and actions of the decision-makers.

Intelligence – a view of negative and positive impacts on performance based on a body of information from which knowledge can be obtained to questions by inquiries, predictions, explanations and prescriptions for control.

Knowledge – building of formal models based on rules or principles prescribing a particular course of action.

Learning – accumulate and analyze information in the form of knowledge aligned with activities that may be well or badly performed.

Change – support inquiry that results in thinking and acting that yields profound inner shifts in people’s values, aspirations, and behaviors and outer shifts in processes, strategies, practices, and systems.

Performance Measurement – measure success factors from different perspectives, as well as perspectives of past, current, and future performance.

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Theoretical Model of Valuation System

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Concept – building blocks of the components of valuation.

Structure – relationships and orderings that exist between and amongst

business concepts and the language and symbols which represent them.

Language – internal representation of data and external communication of

value.

Data Retrieval – interfaces to external and internal data.

Logic Models – transformation of business functions/conditions into a form

that represents objects in the real business world.

Pattern recognition – identification of similarities among differences and

differences among similarities.

Knowledge Representation – transformation of knowledge into a business

fact.

Hypotheses – formulation of facts from relationships and orderings.

Evidence – validity.

Nine Characteristics

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Indicators & Measures (Database) – facilitates the capture of indicators and

measures, known as capacity, to form a body of information.

Intelligence Models (Logic) – uses the body of information to cross-pollinate

value drivers and construct a body of intelligence.

Knowledge Models (Logic) – uses the body of intelligence to identify events

that can be symbolized and manipulated to determine a course of action.

Search & Retrieval – the use of classification technologies to retrieve, filter,

and manage information in computers.

Security (Access and Rights) – ensuring intelligence and knowledge has

adequate protection from intrusion.

Interface (Reports, Scorecards, and Dashboards) – visualization software

that helps organizations view information, intelligence and knowledge in

graphical form and perform analytics.

Six Technology Based Components

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The Education BRAIN (Business Reasoning, Analytics & Instructional Network)

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Instructional Network

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The Thinking Organization (Business Reasoning, Analytics & Instructional Network)

Capture Current

Measures,

Retain Past Measures,

Evaluate Value Added,

Implement Improvements,

Realize Performance

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MEASURE WHAT IS OF VALUE/MEANINGFUL

BALANCED-SCORECARD

EMPLOYEE GROWTH/LEARNING

ORGANIZATIONAL GROWTH/LEARNING

CUSTOMER SATISFACTION

KNOWLEDGE CONTRIBUTION (PATENTS, NEW

INITIATIVES, REDUCED TIME-TO-MARKET,

ETC)

IMPROVED CORE PROCESSES

Measure the Value of Intangibles

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A framework for organizing and a structure for surfacing intangible

asset measurement and performance indicators.

Identification of a discrete set of common value drivers of intangible

assets through field research.

Presentation of a view of intangible asset management within the

context of the business enterprise value chain.

A common set of business dimensions to construct and economic

KM business model

Definition of an evolutionary path that can serve as a base case by

which a business can measure its intangible asset management

position and progress.

Identification of leverage areas to provide a business with strategic

focal points.

Validation of existing IAM models.

Identification of limitations and opportunities for future research and

applications.

Conclusions

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Conclusions

Business could benefit from a holistic approach to establishing goals and decision-making based on what it already knows or needs to know to be successful.

The BRAIN model identifies, validates and synthesizes measurements & indicators from a discrete set of common business value drivers that can be used to improve organizational performance.

This approach is a reconciliation of theory, practice and perception in business.

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"We can't solve problems by using

the same kind of thinking we

used when we created them."

…Albert Einstein

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We Need to Change Our Way of Thinking

to Achieve Excellence in Business

“Knowledge has to be improved,

challenged, and increased

constantly, or it vanishes."

…Peter Drucker

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??Q U E S T I O N S

Annie Green, DSc

George Washington University

[email protected]