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Innovation Science: Past and Future of a Paradigm Shift

Date post: 16-Jul-2015
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Paradigm Shifts

“… occur when scientists encounter anomalies that cannot be explained by the universally accepted paradigm within which scientific progress has thereto been made.”

Thomas S. Kuhn

Anomalies

Structural

Functional

Organizational

Financial

Historical

Library Science

Buildings

Collections

Users

Budgets

Librarians

Reference Services

Technical Services

Catalogs (Paper Machines)

Classifications

Associations

Curricula

Organizing Knowledge

Anomalies

Information Overload and Demand for More Information:

“A new attitude toward seeking out and stockpiling information was the crucial cause of the information explosion, more significant than any particular new discovery.”

(Blair, A.M. (2010), Too Much to Know: Managing Scholarly Information before the Modern Age, New Heaven: Yale University Press)

New Kinds of Media:

Sound Recordings,

Motion Pictures,

Audio-Visuals,

Etc.

Networks of scientific papers.

Information Science

Analysis

Documentation

SDI

Information Professionals

Indexes & Abstracts

Information Technologies

Information Retrieval

Taxonomies

Associations

Curricula

Mobilizing Knowledge

Anomalies

Intellectual Property Rights

Demand for Commercial Information

Hyper-commercialization

Tangible/Intangible Knowledge

Implicit/Explicit Knowledge

Knowledge Creation

Creativity & Idea Generation

Financial Exploitation of

Knowledge/Information

Research & Invention Relationship

Open Access to

Knowledge/Information

Liquidation of Knowledge/Information

Change of Production Relationships:

Makers Movement

– A New Kind of Industrial Revolution

Innovation Science

Routing of

Knowledge/Information

Creativity Boosting

Idea Generation &

Management

Idea Collision

Active Learning

Intelligence

Handcrafting

Prototyping

Commercialization

Innovation

Creative human novelty that provides value in forms of:

Ideas

Inventions

Approaches

Prototypes

Methods

Etc.

Can Innovation be a

Science?“In many respects, innovation can and should be defined by the ability of an

organization, individual or culture to create and provide linkages between many diverse and often unrelated domains and specialties – to create a new net good.

If you will, the innovator is the polymath of the information age.

Innovation Science would therefore be the process whereby an organization, an individual or a culture learns to use innovation tools and techniques to embrace an

ideal of change.

Innovation Science supplies theories, processes, methodologies and tools to organize and exploit this knowledge store.”

- Brett E. Trusko, PhD

Editor-in-Chief, International Journal of Innovation Science

Taxonomical Sequence

Library Science

19th Century

Industrialization

Libraries

Librarians

Organizing Knowledge

Information Science

20th Century

Post-Industrialization

Information Centers

Information Professionals

Mobilizing Knowledge

Innovation Science

21st Century

Informationalization

Future Centers ?

Innovation Professionals

Utilizing Knowledge

Empirical Foundations

Interdisciplinary

Relations

Field of Study

Core Research

Field

Theories

Empirical Laws

Conceptual

Framework

Education

Professional

Organization

Interdisciplinary Relations

Information Science

Library Science

Management Science

Economics

Sociology

Computer Science

Core Research Problems

& Field of Study

Idea Management

Disruption

Creative Destruction

Emergence of the Creative Class

Impact of Cognitive Surplus on

Creativity and innovation

Creative solution development methods

like TRIZ

Diffusion processes and their dynamics

Innovation Ecology

Intellectual Capital

Effect of Informationalism on

Innovation Economics,

Open Innovation Approaches

Value and Innovation Networks

Theories

Business Cycles (Nikolai Kondratiev, Chris

Freeman)

Creative Destruction (Karl Marx)

Disruption (Clayton Christensen)

Creativity (Theresa Amabile)

Economic Development (Joseph Schumpeter)

Creative Class (Richard Florida)

Cognitive Surplus (Clay Shirky)

Diffusion of Innovations (Everett Rogers)

TRIZ (Genrich Altschuller)

Innovation Ecology (Ron Dvir)

Intellectual Capital (Gordon Smith and Russell

Parr)

Open Innovation (Henry Chesbrough)

Value Web (Michael Porter)

Innovation Network (Everett Rogers)

Technological Determinism (Karl Marx)

Informationalism (Manuell Castells)

Globalization (Joseph Stiglitz)

Empirical Laws

Catell’s

Informationalism

Kondratiev’s Waves

Marx’s Determinism

Metcalfe's Law

Moore's Law

Rogers’

Generalizations

Slow Hunch Law

TRIZ Principles

Conceptual Framework

Business

Commercialization

Creative Class

Creativity

Crises

Crowdsourcing

Diffusion

Entrepreneurship

Globalization

Idea Generation

Idea Management

Informationalization

Intellectual property

Intelligence

Networks

Open Innovation

Social Innovation

Research and Development

Education

Variety of MBA Programs that offer Innovation Management Courses

Knowledge and Innovation Management Programs

George Washington University (USA), 2008

Pierre & Marie Currie University (France), 2009

Yeditepe University (Turkey), 2009

Today:

Various Master’s Degree Programs that offer Innovation Management Tracks and Courses

University of Brighton (UK)

Canfield University (UK)

Harvard University – Technology, Innovation, and Education Program (US)

Eindhoven University of Technology – Master in Innovation Management (Netherland)

University of Southern California Marshall School of Business - Master of Science in Entrepreneurship and Innovation (US)

Professional Bodies

International Association of Innovation Professionals (IAOIP)

International Society for Professional Innovation Management (ISPIM)

European Association for Creativity and Innovation (EACI)

International Association of Organizational Innovation (IAOI)

World Alliance for Innovation (WAINOVA)


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