The Innovation Game: A New Approach to Innovation Management and R&d

ISBN-13: 9781441936615 / Angielski / Miękka / 2010 / 206 str.

Armelle Corre; Gerald Mischke

Opis

RandD is the single most important investment for any company or any society. Its ultimate product is an innovation. Innovations are on the other side the major propeller for the respective (socio-) economic development of the very company or society. Management science mainly treat RandD and innovations as costs or budgets to be managed, an approach that is in stark contrast to their overwhelming importance. This and the very fact that RandD and innovation success are a by necessity a-priori unknown and thus uncertain ex-post definition is not at all being respected properly up to now. In The Innovation Game, La Corre and Mishchke consider RandD and innovation as an inherently risky investment which should be profitable, at least on average. Applying a statistical filter model, the authors are able to describe the RandD- and the innovation-process in great detail, almost like a production process. As a metaphor, the book tries to describe it like the control laws of the "distillery for inno-success knowledge."

Spis treści

Contents List of questions to be answered List of inno- and investment management rules derived List of definitions List of lemmas List of figures Introduction and abstract How to read and use this book 1: The innovation process model - definitions and lemmas 1.1 The macroscopic view - the filter paradigm or the pipeline/system layer 1.2 The microscopic view - the logical proof tree paradigm or the project layer 1.3 The mesoscopic view - the control paradigm or the management layer 1.4 Intermediate summary 1 - the inno-gem 2: The macroscopic view on real world innovation pipelines 2.1 From info-projects to inno-pipes - how to construct IP(TtM (t)) 2.2 The multiple-entry (gated or phased) inno-pipe 2.3 General economic optimization rules for innovation pipelines 2.4 How to design optimal innovation pipelines? 2.5 Design and optimization rules for cascaded innovation-pipelines IP 2.6 Design rules for cascaded inno-pipes - the pharma example 2.7 Logical paralleling - the ultimate optimization method 2.8 Intermediate summary 2 - the inno-gem and innovation-pipeline design 3: The mesoscopic view - control of real world innovation pipelines 3.1 Basic control properties of innovation pipelines 3.2 Temporal control properties of innovation pipelines 3.3 Topical control properties of innovation pipelines - quality gate systems 3.3.1 Results obtained from the inno-gem 3.3.2 How to measure an inno-pipe’s success - innovation quality gate systems 3.4 Dealing with latency - the inno-phase control approach 3.5 Basic design of an information system for innovation-phase control 3.6 The inno-phase control approach - application examples 3.7 Intermediate summary 3 - the inno-gem and inno-pipe control 4: The microscopic view - control and management of inno-projects 4 1 The magic quadrangle of innovation - how to do the right things right 4.2The correlation of individual project success patterns within inno-pipes 4.2.1 T-push inno-strategies and their peculiarities 4.2.2 D-pull inno-strategies and their peculiarities 4.2.3 Incremental innovation strategies and their peculiarities 4.3 Basics of knowledge management - learning from failures/successes 4.3.1 The value-of-knowledge concept and its consequences 4.3.2 The two most basic kinds of inno-knowledge 4.3.3 The proposed most basic structure for an inno-knowledge space 4.4 Costs and benefits of knowledge - the economic value of experience 4.5 IT infrastructure for a sophisticated inno-knowledge management 4.6 Intermediate summary 4 - the inno-gem and inno-project management 5: The integration of finance and innovation management 5.1 Preconditions and basics 5.1.1 Financial and structural consequences of the innovation definition 5.1.2 Innovation phases and the residual value problem 5.1.3 Financing and sequential inno-processing 5.1.4 From investment to sales, profit etc. for steady state inno-pipes 5.2 Inno-pipe financing - balance sheet accounting problems 5.3 Inno-pipe financing - optimal budgeting principles 5.4 Inno-pipe financing - dealing with incomplete pipelines 5.5 Inno-pipe control - from promise to profit (a look inside the pipe) 5.6 Inno-pipe control - Q-gates to get from promise to profit 5.7 Inno-project control - project-risk and project-budget design principles 5.8 Inno-project control - inno-success economy of project- and pipe-exits 5.9 Intermediate summary 5 - integration of finance and inno-management 6: Summary and Benchmarks 7: Acknowledgment 8: Literature and references 9: Subject index 10: Function and variables index

O autorze

RandD is the single most important investment for any company or any society. Its ultimate product is an innovation. Innovations are on the other side the major propeller for the respective (socio-) economic development of the very company or society.
In The Innovation Game La Corre and Mishchke consider RandD and innovation as an inherently risky investment which should be profitable, at least on average. Applying a statistical filter model, the authors are able to describe the RandD- and the innovation-process in great detail, almost like a production process. As a metaphor,the book tries to describe it like the control laws of the "distillery for inno-success knowledge".

Blurb

RandD is the single most important investment for any company or any society. Its ultimate product is an innovation. Innovations are on the other side the major propeller for the respective (socio-) economic development of the very company or society.

Management and management science mainly treat RandD and innovations as costs or budgets to be managed, an approach that is in stark contrast to their overwhelming importance. This and the very fact that RandD and innovation success is a by necessity a-priori unknown and thus uncertain ex-post definition is not at all being respected properly up to now.

In The Innovation Game La Corre and Mishchke consider RandD and innovation as an inherently risky investment which should be profitable, at least on average. Applying a statistical filter model, the authors are able to describe the RandD- and the innovation-process in great detail, almost like a production process. As a metaphor, the book tries to describe it like the control laws of the "distillery for inno-success knowledge".

The corresponding control model and the derived inno-management rules do allow the authors to compute and optimize the respective success-chances, the appropriate processes and the suited organizational structures of a targeted "inno-success distillery", the innovation-/RandD-pipeline, in an unprecedented way.