Ansätze einer akteurbasierten Innovationserklärung ... - KOBRA

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4.4.5.2.2. Results for successful cooperations of heterogeneous agents .................. 129 4.4.5.3. Analysing discontinuities ............................................................................... 133 4.4.6. Summary, implications for further research and policy design ......................... 136 4.5. Agent Based Modelling of Novelty Creating Behavior and Sectoral Growth Effects – Linking the Creative and the Destructive Side of Innovation (Artikel 5) ..................... 140 4.5.1. Introduction ....................................................................................................... 140 4.5.2. Agent‐based modelling of behavioral innovation triggers ................................ 144 4.5.2.1. Behavioral analysis of innovation activity ..................................................... 144 4.5.2.2. Architecture of the agents in the simulation model ...................................... 149 4.5.2.2.1. Individual modes of action and their triggering conditions ....................... 149 4.5.2.2.2. Cooperative innovation .............................................................................. 152 4.5.3. Dynamics of diffusion on the sectoral level ....................................................... 154 4.5.3.1. Conceptual foundation .................................................................................. 154 4.5.3.2. Features of the diffusion process in the simulation model ........................... 156 4.5.4. Simulation results............................................................................................... 160 4.5.4.1. Exemplary analysis of a singular run .............................................................. 160 4.5.4.2. Sensitivity analysis ......................................................................................... 163 4.5.5. Conclusions ........................................................................................................ 168 5. Zusammenfassung und weitere Forschungsfragen ................................................... 170 6. Literaturverzeichnis ................................................................................................. 177 7. Anhang .................................................................................................................... 195 7.1. Anhang zu Abschnitt 2 ................................................................................................... 195 7.2. Anhang zu Abschnitt 4.3 ................................................................................................ 200 7.3. Anhang zu Abschnitt 4.4 ................................................................................................ 206 7.4. Anhang zu Abschnitt 4.5 ................................................................................................ 207
Abbildungsverzeichnis Fig. 1: Enhanced concept of problem solving 60 Fig. 2: Features of problem solving during invention and innovation 67 Fig. 3: Agent‐related factors of innovation 77 Fig. 4: Extended ,Ajzen model‘ of innovation behaviour 80 Fig. 5: Assessing the selection of mode of action in the questionnaire for the ,second‐order innovation‘ project 81 Fig. 6: Phases of the innovation process 84 Fig. 7: Agent‐ and time‐referenced innovation process 86 Fig. 8: Combining agent‐related surveys with the development of theories and models 88 Fig. 9: The CEIS model 99 Fig. 10: The CEIS model – direct effects 103 Fig. 11: The CEIS model – total effects 105 Fig. 12: Flowchart of the Kd‐Td model 119 Fig. 13: Accumulation of trust 124 Fig. 14: Knowledge transfer 124 Fig. 15: Accumulation of knowledge 124 Fig. 16: Development of trust and knowledge 124 Fig. 17: Accumulation of trust 128 Fig. 18: Knowledge transfer 128 Fig. 19: Accumulation of knowledge 128 Fig. 20: Development of trust and knowledge 128 Fig. 21: Development of trust and knowledge 128 Fig. 22: Development of trust and knowledge 128 Fig. 23: Accumulation of trust 134 Fig. 24: Knowledge transfer 134 Fig. 25: Accumulation of knowledge 134 Fig. 26: Development of trust and knowledge Standard 134 Fig. 27: Development of trust and knowledge 134 Fig. 28: Development of trust and knowledge 134 Fig. 29: Accumulation of trust 136 Fig. 30: Knowledge transfer 136 Fig. 31: Accumulation of knowledge 136 Fig. 32: Development of trust and knowledge 136 Fig. 33: Development of trust and knowledge 136 Fig. 34: Development of trust and knowledge 136 Fig. 35: Matching of firms in co‐operative innovation 154 Fig. 36: Total profit (up) and sector specific profits (down) 162 Fig. 37: Shares of action modes over time 163 Fig. 38: Mean level of sharable knowledge over time 164 Fig. 39: Distribution and acquisition of sharable knowledge over time 165 Fig. 40: Individual level of sharable knowledge over time 166 Fig. 41: Sensitivity analysis for the substitution parameter and various behavioral parameters 167
Page 1 and 2: Ansätze einer akteursbasierten Inn
Page 3: 4.2.4.1. Actor‐oriented survey de
Page 7 and 8: 1. Einleitung Innovationen sind nic
Page 9 and 10: noch feststellen, dass die Evolutio
Page 11 and 12: 4. ‚A procedural model of trust d
Page 13 and 14: logical and social sciences some ge
Page 15 and 16: Innovationen wird vom Unternehmer n
Page 17 and 18: somit nicht erfassen, wie ökonomis
Page 19 and 20: Akteure bzw. Referenzgruppen). Sofe
Page 21 and 22: len) Umfeldbedingungen, welche sich
Page 23 and 24: mensgröße, Marktanteil und Zufrie
Page 25 and 26: siert, dem Konzept des organisation
Page 27 and 28: deln befassen (Machlup 1964; Kuznet
Page 29 and 30: Die empirische Innovationsökonomik
Page 31 and 32: Alternativmodell zu den standardök
Page 33 and 34: „The treatment, or rather the tre
Page 35 and 36: zw. Managementforschung zuzurechnen
Page 37 and 38: fähigkeit, Fairness und Überzeugu
Page 39 and 40: dass im Zeitraum 1955 bis 2006 nahe
Page 41 and 42: verwendeten Methoden der empirische
Page 43 and 44: schäftigung mit dem individuellen
Page 45 and 46: 3. Einbettung und Gegenstandsbereic
Page 47 and 48: schen generativen Prozessen, welche
Page 49 and 50: definierten) Inventionsprozesses un
Page 51 and 52: der Altfahrzeugverordnung als opera
Page 53 and 54: eiche des Prozesses auf jeweilig en
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In diesem Sinne überführt der Art
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4. Ansätze einer akteursbasierten
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An interpretation of the given situ
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to the lack of appropriate operator
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the observation of the starting con
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mental representations, e.g., to a
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momentum of the inventor is a combi
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and finally, this abstract solution
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than in the case of invention. (b)
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means that the findings of the expl
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But, by simply postulating a proble
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Another shortcoming of the consider
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allows for differentiating differen
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Correspondingly, the following feat
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ing link to the agents can be seen
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multiple beliefs concerning the cir
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tegic nature (,leadership‘ in var
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innovation processes. According to
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When conducting agents‐related su
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deliberate behaviour and the corres
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was based on the TpB of Ajzen; as t
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spective. The empirical question th
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ined by the Carnegie School are rel
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A counterpart to the production of
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The interplay between the two types
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Fig. 9: The CEIS model The core str
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first tier in the value chain, 28%
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the CEIS is empirically meaningful
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what stronger and include the path
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4.3.7. Summary, implications for fu
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4.4. A procedural model of trust dy
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ack/Grimm, 2012). Hence, with regar
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their absorptive capacity 93 . 4.4.
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ent types of agents can typically b
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such collective endeavors have a fi
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Fig. 12: Flowchart of the Kd‐Td m
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Furthermore, Settings 1 and 2 each
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ducted altering all of the variable
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innovation, 50 time‐steps, is rea
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capacity (α i ) and the decay of k
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group composition and overexciting
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Indicators KD and TD Concerning KD,
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the values of setting 2 are higher
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step which leads immediately to a d
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was conceptualized; second the mode
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ments which aim at designing possib
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the type of novelty creation and th
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a cooperative innovation. 104 These
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Both approaches are not sufficient
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However, falling short of or exceed
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If a firm is involved in a process
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f 1 1 (t) f 2 (t) F(t) . cim (4)
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cate within the cooperation process
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of innovation diffusion (Griliches
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where λ 1 is a stochastic term dep
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financial performance of the firm.
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Tab. 11: Important model parameter
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i.e. exit and late entry). Further
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this adaptability, the positive ove
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Fig. 41: Sensitivity analysis for t
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after the transient phase, there is
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Ziel der vorliegenden Arbeit war es
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Entscheidung zur Innovation. Denn a
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Weiterentwicklung bieten (s. entspr
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6. Literaturverzeichnis 132 ABRAMOV
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novation? Working Paper No. 17, Eds
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DAWID, H. (2004): Agent‐Based Mod
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FRITSCH, M. (2005): Do Regional Sys
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INKPEN, A.C., and E.W.K. Tsang (200
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MARKHAM, J.W. (1964): Inventive Act
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PYKA, A., and G. FAGIOLO (2007): Ag
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SIMON, H.A. (1963): Economics and P
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VENKATACHALAM, L. (2008): Behaviora
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7. Anhang 7.1. Anhang zu Abschnitt
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Die entsprechende Abfrage (in der T
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Basisalgorithmus 2, prozedurale Rat
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Latent variables Items Questions s
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Appendix B. CEIS‐Model Appendix B
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Appendix B3. Control Variables Coef
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7.4. Anhang zu Abschnitt 4.5 Core o
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