Innovation and Ontologies

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284 Results of Develop/ Build Output describes consequences of assessment. It comprises three submodules: invest, hold and stop. • Stop indicates that the idea/ concept is abandoned. • Hold lists the necessary rework until re-assessment. • Invest defines the input to be delivered by the development team at the next assessment. output invest hold stop figure 106 Generic module output By use of the generic modules, representation of the idea assessment in a company can be modeled. The following subsections will illustrate this modeling. 2.3.1.2 Invisible Funnel The Invisible Funnel is the smallest of the three part-taxonomies. This corresponds to my findings described in part I, subsection 2.3.1. A high degree of flexibility and change are characteristic to informal idea assessment. Consequently, • (typically internal) input mostly consists of a vague description or sketch, • participants for internal input are the inventor and direct superior and for external input the inventor and an executive of marketing or R&D • assessment is mainly done by discussion on the basis of previous experiences and • output require a more detailed elaboration of the idea. In all companies, the percentage of internal ideas is low, estimated to be maximally 10%. As interviews indicated, C. & E. FEIN GMBH most consciously uses Invisible Funneling to let staff experiment on its own ideas. At MARQUARDT GMBH and C. & E. FEIN GMBH, the majority of input to the Invisible Funnel concerns process improvements. As aforementioned, HANS EINHELL AG does not perform any formal assessment prior to development. Consequently, I model its approach as an Invisible Funnel with the head of marketing as sole member of the jury. Input to assessment covers ideas as well as concepts. This represents the fact that product concepts are also proposed at HANS EINHELL AG. Due to its size, idea assessment and selection of HANS EINHELL AG is presented last in the following table.
Formalization 285 figure 107 Invisible Funnel of C. & E. FEIN GMBH
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Angelika C. Bullinger Innovation an
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Angelika C. Bullinger Innovation an
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in memoriam Paula Bullinger 1912 -
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Acknowledgements IX Acknowledgement
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Contents XIII Contents Preface ....
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Contents XV 2.2� E-Business (B2B)
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Contents XVII 2.2� Design Science
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Abbreviations XIX Abbreviations AI
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Figures XXI Figures figure 1� �
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Figures XXIII figure 59� Two-dime
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Figures XXV figure 120� Formal re
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XXVIII Tables table 27� Guideline
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XXX Tables table 87� Relations of
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2 Point of Departure During past ye
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4 Research Objectives and Structure
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6 Outline of Thesis Critical assess
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8 Part I Roadmap for the Fuzzy Fron
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10 Innovation 1 Innovation The foll
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12 Innovation By evaluation of tech
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14 Innovation 1.2 Types of Innovati
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16 Innovation A product innovation
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18 Innovation Process innovations a
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20 Innovation � Focus of this res
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22 Innovation figure 8 Some areas a
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24 Innovation 1.3.1 Holistic Innova
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26 Innovation figure 10 Elements of
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28 Innovation 1.3.2.1 R&D Managemen
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30 Innovation R&D management is par
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32 Innovation As the participating
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Roadmap for the Fuzzy Front End 33
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The Fuzzy Front End 35 2.1 The Fuzz
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The Fuzzy Front End 37 2.1.2 Manage
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The Fuzzy Front End 39 Kornwachs (1
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The Fuzzy Front End 41 Innovative i
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The Fuzzy Front End 43 Academia has
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The Fuzzy Front End 45 2.1.4.3 Char
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The Fuzzy Front End 47 2.1.4.4 Rule
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Ideation 49 Internal sources of ide
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Ideation 51 � figure 19 Process o
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Ideation 53 figure 21 External infl
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Ideation 55 Such innovative diversi
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Ideation 57 Sources of Ideas Relate
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Ideation 59 By the use of this meth
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Ideation 61 Scientific Publications
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Ideation 63 Properties and values o
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Ideation 65 Integration of such inn
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Concept Gate 67 Otherwise, when pre
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Concept Gate 69 A majority of large
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Concept Gate 71 Furthermore, the co
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Concept Gate 73 A positive impact 9
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Concept Gate 75 Besides diverse fun
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Concept Gate 77 2.3.3 Methods for t
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Concept Gate 79 Sample Criteria for
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Concept Gate 81 The predefined weig
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Concept Gate 83 2.3.3.2 Holistic Ap
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Concept Gate 85 Besides the aspects
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Concept Gate 87 Drawbacks can arise
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Concept Development 89 During Conce
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Concept Development 91 There are th
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Concept Development 93 Following Ge
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Concept Development 95 2.4.1.2 Coop
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Concept Development 97 To focus on
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Concept Development 99 2.4.2.2 Morp
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Concept Development 101 The five ph
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Innovation Gate 103 2.4.3 Support A
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Innovation Gate 105 The gate meetin
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Innovation Gate 107 2.5.2 Methods f
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Innovation Gate 109 figure 33 House
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Innovation Gate 111 External Evalua
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Innovation Gate 113 The roadmap is
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Innovation Gate 115 Economic assess
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Innovation Gate 117 Elements Detail
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Innovation Gate 119 The easiest (an
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Innovation Gate 121 Benchmarking Be
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Innovation Gate 123 Additionally, t
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Innovation Gate 125 Transaction In
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Innovation Gate 127 On the other ha
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Summary of FFE Roadmap 129 3 Summar
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Summary of FFE Roadmap 131 Strategi
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Principles 163 4.1.1.1 Classes As l
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Principles 165 The (sub)class ‘sa
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Languages 167 4.2 Languages The sel
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Languages 169 figure 54 Ontology ma
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Languages 171 When specifying an on
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Ontology in Philosophy 135 The foll
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Ontology in Philosophy 137 The mean
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Ontologies in Information Science 1
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Ontologies in Information Science 1
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Deployment in Business 143 2 Deploy
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Enterprise Ontologies 145 The Enter
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Enterprise Ontologies 147 2.1.3 E-B
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E-Business (B2B) Ontologies 149 Ont
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E-Business (B2B) Ontologies 151 2.2
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Management Ontologies 153 RosettaNe
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Management Ontologies 155 The catal
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Management Ontologies 157 figure 51
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Note on Deployment in Other Areas 1
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Potential of Ontologies 161 As the
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198 Part III Design Science Ontolog
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Existing Classifications 173 As the
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Existing Classifications 175 To sum
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Existing Classifications 177 The as
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Existing Classifications 179 5.1.5
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Existing Classifications 181 5.1.7
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Subject matter 183 5.2.2 Task Ontol
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Subject matter 185 General ontologi
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Formality 187 On the contrary, an o
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Formality 189 5.3.2 Semi-Informal a
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Expressiveness 191 Consequently, tw
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Expressiveness 193 Wielinga et al.
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Expressiveness 195 The distinction
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254 Part IV Results: The OntoGate T
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Multimethodological Background 199
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Ontology Engineering 201 1.1.1 Syno
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Ontology Engineering 203 The method
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Ontology Engineering 205 The method
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Ontology Engineering 207 1.1.1.4.2
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Ontology Engineering 209 1.1.1.5 On
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Ontology Engineering 211 1.1.2 Stat
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Ontology Engineering 213 1.1.2.3 G
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Design Science 215 1.1.2.4 Evaluati
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Design Science 217 For this thesis,
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Design Science 219 1.2.2.3 An Infor
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Design Science 221 Justify refers t
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Design Science 223 The following fi
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Design Science 225 Foundation, clos
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Design Science 227 Based on the pre
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Empirical Approach 229 2 Empirical
Page 258 and 259: Research Methodology 231 For purpos
Page 260 and 261: Research Methodology 233 The lifecy
Page 262 and 263: Research Methodology 235 2.1.3 Fiel
Page 264 and 265: Design Science Ontology Lifecycle 2
Page 280 and 281: 256 Results of Prepare 1 Results of
Page 282 and 283: 258 Results of Prepare As motivatin
Page 284 and 285: 260 Results of Develop/ Build 2.2 K
Page 286 and 287: 262 Results of Develop/ Build 2.2.1
Page 288 and 289: 264 Results of Develop/ Build The w
Page 292 and 293: 268 Results of Develop/ Build manag
Page 294 and 295: 270 Results of Develop/ Build Its t
Page 296 and 297: 272 Results of Develop/ Build A dis
Page 302 and 303: 278 Results of Develop/ Build Due t
Page 310 and 311: 286 Results of Develop/ Build figur
Page 320 and 321: 296 Results of Develop/ Build Core
Page 322 and 323: 298 Results of Develop/ Build Visua
Page 324 and 325: 300 Results of Develop/ Build Inter
Page 328 and 329: 304 Results of Develop/ Build Relat
Page 330 and 331: 306 Results of Develop/ Build Excer
Page 332 and 333: 308 Results of Develop/ Build Slots
Page 334 and 335: 310 Results of Develop/ Build Negat
Page 338 and 339: 314 Results of Develop/ Build Insta
Page 344 and 345: 320 Results of Develop/ Build Insta
Page 348 and 349: 324 Results of Justify/ Evaluate 3
Page 350 and 351: 326 Results of Justify/ Evaluate fi
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Conclusion 335 Conclusion Concludin
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Résumé 337 2 Résumé The conclus
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Résumé 339 2.2 Empirical Findings
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Résumé 341 This discussion is bas
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Résumé 343 The twofold evaluation
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Outlook 345 Concerning the potentia
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Annex 347 Annex 1 Glossary of Infor
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Glossary of Informal Taxonomy 349 d
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Glossary of Informal Taxonomy 351 l
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Glossary of Informal Taxonomy 353 q
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References 355 2 References Abecker
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References 357 Avesani, P., Giunchi
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References 359 Erprobung innovative
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References 361 Brockhoff, K. (2006)
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References 363 Cooper, R. G. (1994)
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References 365 Dean, B. V. & Goldha
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References 367 Ernst, H. (2004). Vi
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References 369 Franke, N. & Braun,
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References 371 Gerhards, A. (2002).
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References 373 González, R. G. (in
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References 375 Hannah, D. R. (2004)
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References 377 Herstatt, C. & Sande
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References 379 Husserl, E. (1965).
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References 381 Kobe, C. (2006). Tec
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References 383 Lindgren, M. & Bandh
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References 385 McBride, B. (2004a).
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References 387 Noy, N. F. & Hafner,
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References 389 Porter, M. E. (2004)
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References 391 Ruiz, F. & et. al. (
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References 393 Seidl, I. (1993). Un
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References 395 Staudt, E. (Ed.) (19
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References 397 Turner, J. R. & Muel
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References 399 Vet, P. E. van der &
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References 401 Witte, E. (1978). Un
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Index 403 3 Index A� action plan,
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Index 405 I� Ideation, 5, 7, 8, 3
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Index 407 S� scenario, 55, 60, 90
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Innovation and Ontologies

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