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Philosophical Insights in System Modelling
                        : Application to the Field of Innovation Systems

                  Key words: system dynamics, philosophy, mental model, regional innovation system




                                               UngKyu Han
                                             Dr. Martin Kunc


                                               5th April 2011
                              YOR Conference, Nottingham University




                                                     (1/16)                                          UKHan
System Dynamics                                                                                      UngKyu Han
CONTENTS


                                          1. To Be Thought

                                                2. Background

                  3. Philosophy, Mental Model, and System Dynamics

                                          4. Previous Investigations

                               5. Applied to Innovation Systems

                                             6. Conclusions



                                (2/16)                                 UKHan
System Dynamics                                                        UngKyu Han
1. TO BE THOUGHT
       “How should we observe systems?”

                  “Is the Earth central? or part of the solar system?”




                  To argue the need to establish a dualistic philosophical view of a
                  system in system dynamics modelling


                                                  (3/16)                               UKHan
System Dynamics                                                                        UngKyu Han
2. BACKGROUND
       1) System Dynamics
                  (1) Modern SD initiatives
                   - Industrial Dynamics written by J. Forrester (1961)
                   - Ranging from pure sciences to social sciences, and from mathematical
                    areas to non-mathematical ones


                  (2) Intends to…
                   - Discover the internal interactions and feedback processes that take
                    place between diverse constituent factors within complex systems
                   - Look into how changes in such elements cause expected or unexpected
                    consequences within the systems modelled

                                                 (4/16)                                    UKHan
System Dynamics                                                                            UngKyu Han
2) Is System Dynamics a Tool, a Methodology, or a Paradigm?


                                            Graphical interface, modelling, computer
                                            simulation and application software



                                            Paradigm in problem-solving areas of
                                            management sciences

        “Without a clearly communicated philosophy, there is nothing to separate
        the subject from the simulation technique it uses.”, Morecroft (1983) says.


                                           (5/16)                                     UKHan
System Dynamics                                                                       UngKyu Han
3. PHILOSOPHY, MENTAL MODEL AND SD
       1) What is philosophy?
                  - A Greek ‘Philosophia’
                  - ‘Love of wisdom’: subjective thoughts of human beings.


       2) Are Scientists Objective?
                  - Not ‘unbiased observers’; rather, fallible beings
                  - Scientific ‘observations’ cannot be totally neutral




                                                   (6/16)                    UKHan
System Dynamics                                                              UngKyu Han
3) Mental Model

                  “Beauty is in the eye of the beholder.”




                                    (7/16)                  UKHan
System Dynamics                                             UngKyu Han
4) Mental Model in System Dynamics
                  In dealing with feedback problems within a system

                                      (1) In defining feedback problems

                                      (2) In analysing feedback problems

                                      (3) In interpreting feedback problems

                                      (4) In solving feedback problems

       ∴For System Dynamicists
                  In the process of systemic problem generation, philosophical thinking
                  is necessary in the description of internal behaviours within a system.

                                                  (8/16)                                    UKHan
System Dynamics                                                                             UngKyu Han
4. PREVIOUS INVESTIGATIONS


                                    Constructivism
         Vázquez and Liz, 2007                             Schiere et al., 1999



                   Expressivism                           Reductionism


                                                           Rafferty, 2007
                                       Holism


                                      Schwaninger, 2006
                   Interpretivism                          Positivism




       - WHY NOT Synthetic Dualism of Philosophies?

                                            (9/16)                                UKHan
System Dynamics                                                                   UngKyu Han
3) Perception of a System by Philosophy
                  PHILOSOPHY    Constructivism, Interpretivism ,                 Synthetic view                  Reductionism and Positivism
                                   Holism, and Expressivism
      CRITERION
                                                                      A whole- or sub-system (s)
      Main Object              A whole system                                                                  Constituent elements

                                                                      Top-down or bottom-up
      Logical Stream           Top-down                                                                        Bottom-up

                                                                      More than or just the sum of parts
      System Definition        More than the sum of parts                                                      Just the sum of parts

                                                                      A whole- or sub-problems of a
      Problem Definition       A whole problem of a system                                                     Sub-problems of elements
                                                                      system
                                                                      Non-common or common goals
      Goal Definition          No common goal                                                                  Common goals of components
                                                                      of sub-systems

                                                                      Variant or static context and
      Context and Observer     Variant context and observer                                                    Static context and observer
                                                                      observer
      Variability

      Sensitivity to Changes   Sensitive to the changes in internal   Sensitive or non-sensitive to            Not sensitive to the changes in
                                                                      changes of internal properties in
                               properties                                                                      internal properties
                                                                      a system

      Interpretation            Flexible, inferential, pragmatic, and Flexible or inflexible, inferential or   Inflexible, concrete, ideal, and non-
                                                                      concrete, pragmatic or ideal, and
      Flexibility              contextual                                                                      contextual
                                                                      contextual or contextual


                                                                      (10/16)                                                                    UKHan
System Dynamics                                                                                                                                   UngKyu Han
5. Applied to Innovation Systems
       1) Innovation System
                  : An agglomeration of innovation actors to stimulate their
                    innovation and business within a geographical area




                                                 (11/16)                       UKHan
System Dynamics                                                                UngKyu Han
2) From National to Regional Innovation System
                                      National Innovation System                         Regional Innovation System

                                           NIS's World-wide                                            Clearer Management of
                                                 Spread                                                 Relative Dynamics by
                                                                                                               Region
                             Japan’s Economic           Serious Disparities
                                  Growth                 among Regions                     Need for Institutionally
                                                                                                 Localised
                                                                                          Technology-based Systems
                                      Nation-wide
                     US Support     Business Support
                                                                                      The Rise of EU
                                                                                         in 1993
                                  Japanese Government
                                        Economic                                      European Currency
                                     Interventionism                                  into EURO in 1995
1945              1953      1960               1970              1980             1990            2000                now



                  End of Korean War                                       Shift from NIS to RIS
  End of the 2nd World War

                                                            (12/16)                                                    UKHan
System Dynamics                                                                                                        UngKyu Han
3) Features of Innovation System
                  - Evolutionary being
                  - Continuous production of feedback problems




                                               (14/16)           UKHan
System Dynamics                                                  UngKyu Han
4) Philosophy-Mental Model-Views of a System




                                   (14/16)            UKHan
System Dynamics                                       UngKyu Han
Region-oriented View              Region-Nation Synthetic View                   Nation-oriented View
      Philosophy       Constructivism, interpretivism,      Dualism of philosophical threads          Reductionism and positivism
                       holism, and expressivism
      Main Object      RIS as a whole system                Different observing target by context A nation-dependent constituent unit
                                                            around a region
      Logical Stream Local government’s top-down            Mixture of local government’s top-    Local government’s bottom-up
                     innovation policies                    down policies for regional objectives innovation policies for a national agenda
                                                            and bottom-up policies for national
                                                            goals by regional context
      System           More than the aggregation of local   Different definition of the scale,    Just the sum of local innovative actors
      Definition       innovative actors                    range, and roles of a RIS by regional
                                                            context
      Problem          Regional innovation                  Different definition of the influencing   Sub-problems of regions affecting
      Definition       problems/challenges as a whole       range of problems and required            national innovation problems/challenges
                       system                               solutions by regional context
      Goal Definition Regional development as an ideal      Different goal definition by regional     Sub-objectives of regions to achieve an
                      goal of a local unit                  context                                   ideal whole development of a nation
      Context and     Variant innovation contexts and       Flexible variability by contexts around   Fixed innovation contexts and localised
      Observer        localised innovation views of a       a region and subjectivity of              innovation views of a region; innovation
      Variability     region; self-regulating innovation    observers; flexible construction and      mechanisms tied within given national
                      mechanisms in a big picture of        operation of innovation mechanisms        innovation policies
                      national innovation policies          by regional context
      Sensitivity to   Sensitive to the changes of local    Flexible sensitivity level to the         Not sensitive to the changes of local
      Changes          innovation properties                dynamics of regional innovation           innovation properties
                                                            properties by regional context
      Interpretation   Context-based flexible political     Variant flexibility of response to        Non-context-based static political
      Flexibility      response to variable regional        regional context                          response to given national innovation
                       situations                                                                     policies


                                                                    (15/16)                                                                   UKHan
System Dynamics                                                                                                                               UngKyu Han
6. CONCLUSIONS

       1) Philosophical thinking for system dynamicists to implement a more
                  thoughtful problem-solving process, and for outside experts to
                  acknowledge SD as a paradigm in the management sciences
       2) ‘Constructivism, interpretivism, holism, and expressivism’ versus
                  ‘reductionism and positivism’, and ‘synthetic dualism’
       3) A region-oriented view, a nation-oriented view, and a region-nation
                  synthetic view
       4) Philosophical views of a system remain highly influential in defining
                  and observing systemic problems in the innovation system and in
                  developing and implementing managerial regional innovation policies.


                                                 (16/16)                                 UKHan
System Dynamics                                                                          UngKyu Han
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                                                                     (21/22)                                                                UKHan
System Dynamics                                                                                                                              UngKyu Han
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                        THANK YOU FOR YOUR TIME.
                           IDEAS AND SUPPORT!

                  For more information, please contact UngKyu Han
                              at ungkyuhan@gmail.com



                                                                  (22/22)                                                                 UKHan
System Dynamics                                                                                                                           UngKyu Han

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Philosophical Insights in System Modelling

  • 1. Philosophical Insights in System Modelling : Application to the Field of Innovation Systems Key words: system dynamics, philosophy, mental model, regional innovation system UngKyu Han Dr. Martin Kunc 5th April 2011 YOR Conference, Nottingham University (1/16) UKHan System Dynamics UngKyu Han
  • 2. CONTENTS 1. To Be Thought 2. Background 3. Philosophy, Mental Model, and System Dynamics 4. Previous Investigations 5. Applied to Innovation Systems 6. Conclusions (2/16) UKHan System Dynamics UngKyu Han
  • 3. 1. TO BE THOUGHT “How should we observe systems?” “Is the Earth central? or part of the solar system?” To argue the need to establish a dualistic philosophical view of a system in system dynamics modelling (3/16) UKHan System Dynamics UngKyu Han
  • 4. 2. BACKGROUND 1) System Dynamics (1) Modern SD initiatives - Industrial Dynamics written by J. Forrester (1961) - Ranging from pure sciences to social sciences, and from mathematical areas to non-mathematical ones (2) Intends to… - Discover the internal interactions and feedback processes that take place between diverse constituent factors within complex systems - Look into how changes in such elements cause expected or unexpected consequences within the systems modelled (4/16) UKHan System Dynamics UngKyu Han
  • 5. 2) Is System Dynamics a Tool, a Methodology, or a Paradigm? Graphical interface, modelling, computer simulation and application software Paradigm in problem-solving areas of management sciences “Without a clearly communicated philosophy, there is nothing to separate the subject from the simulation technique it uses.”, Morecroft (1983) says. (5/16) UKHan System Dynamics UngKyu Han
  • 6. 3. PHILOSOPHY, MENTAL MODEL AND SD 1) What is philosophy? - A Greek ‘Philosophia’ - ‘Love of wisdom’: subjective thoughts of human beings. 2) Are Scientists Objective? - Not ‘unbiased observers’; rather, fallible beings - Scientific ‘observations’ cannot be totally neutral (6/16) UKHan System Dynamics UngKyu Han
  • 7. 3) Mental Model “Beauty is in the eye of the beholder.” (7/16) UKHan System Dynamics UngKyu Han
  • 8. 4) Mental Model in System Dynamics In dealing with feedback problems within a system (1) In defining feedback problems (2) In analysing feedback problems (3) In interpreting feedback problems (4) In solving feedback problems ∴For System Dynamicists In the process of systemic problem generation, philosophical thinking is necessary in the description of internal behaviours within a system. (8/16) UKHan System Dynamics UngKyu Han
  • 9. 4. PREVIOUS INVESTIGATIONS Constructivism Vázquez and Liz, 2007 Schiere et al., 1999 Expressivism Reductionism Rafferty, 2007 Holism Schwaninger, 2006 Interpretivism Positivism - WHY NOT Synthetic Dualism of Philosophies? (9/16) UKHan System Dynamics UngKyu Han
  • 10. 3) Perception of a System by Philosophy PHILOSOPHY Constructivism, Interpretivism , Synthetic view Reductionism and Positivism Holism, and Expressivism CRITERION A whole- or sub-system (s) Main Object A whole system Constituent elements Top-down or bottom-up Logical Stream Top-down Bottom-up More than or just the sum of parts System Definition More than the sum of parts Just the sum of parts A whole- or sub-problems of a Problem Definition A whole problem of a system Sub-problems of elements system Non-common or common goals Goal Definition No common goal Common goals of components of sub-systems Variant or static context and Context and Observer Variant context and observer Static context and observer observer Variability Sensitivity to Changes Sensitive to the changes in internal Sensitive or non-sensitive to Not sensitive to the changes in changes of internal properties in properties internal properties a system Interpretation Flexible, inferential, pragmatic, and Flexible or inflexible, inferential or Inflexible, concrete, ideal, and non- concrete, pragmatic or ideal, and Flexibility contextual contextual contextual or contextual (10/16) UKHan System Dynamics UngKyu Han
  • 11. 5. Applied to Innovation Systems 1) Innovation System : An agglomeration of innovation actors to stimulate their innovation and business within a geographical area (11/16) UKHan System Dynamics UngKyu Han
  • 12. 2) From National to Regional Innovation System National Innovation System Regional Innovation System NIS's World-wide Clearer Management of Spread Relative Dynamics by Region Japan’s Economic Serious Disparities Growth among Regions Need for Institutionally Localised Technology-based Systems Nation-wide US Support Business Support The Rise of EU in 1993 Japanese Government Economic European Currency Interventionism into EURO in 1995 1945 1953 1960 1970 1980 1990 2000 now End of Korean War Shift from NIS to RIS End of the 2nd World War (12/16) UKHan System Dynamics UngKyu Han
  • 13. 3) Features of Innovation System - Evolutionary being - Continuous production of feedback problems (14/16) UKHan System Dynamics UngKyu Han
  • 14. 4) Philosophy-Mental Model-Views of a System (14/16) UKHan System Dynamics UngKyu Han
  • 15. Region-oriented View Region-Nation Synthetic View Nation-oriented View Philosophy Constructivism, interpretivism, Dualism of philosophical threads Reductionism and positivism holism, and expressivism Main Object RIS as a whole system Different observing target by context A nation-dependent constituent unit around a region Logical Stream Local government’s top-down Mixture of local government’s top- Local government’s bottom-up innovation policies down policies for regional objectives innovation policies for a national agenda and bottom-up policies for national goals by regional context System More than the aggregation of local Different definition of the scale, Just the sum of local innovative actors Definition innovative actors range, and roles of a RIS by regional context Problem Regional innovation Different definition of the influencing Sub-problems of regions affecting Definition problems/challenges as a whole range of problems and required national innovation problems/challenges system solutions by regional context Goal Definition Regional development as an ideal Different goal definition by regional Sub-objectives of regions to achieve an goal of a local unit context ideal whole development of a nation Context and Variant innovation contexts and Flexible variability by contexts around Fixed innovation contexts and localised Observer localised innovation views of a a region and subjectivity of innovation views of a region; innovation Variability region; self-regulating innovation observers; flexible construction and mechanisms tied within given national mechanisms in a big picture of operation of innovation mechanisms innovation policies national innovation policies by regional context Sensitivity to Sensitive to the changes of local Flexible sensitivity level to the Not sensitive to the changes of local Changes innovation properties dynamics of regional innovation innovation properties properties by regional context Interpretation Context-based flexible political Variant flexibility of response to Non-context-based static political Flexibility response to variable regional regional context response to given national innovation situations policies (15/16) UKHan System Dynamics UngKyu Han
  • 16. 6. CONCLUSIONS 1) Philosophical thinking for system dynamicists to implement a more thoughtful problem-solving process, and for outside experts to acknowledge SD as a paradigm in the management sciences 2) ‘Constructivism, interpretivism, holism, and expressivism’ versus ‘reductionism and positivism’, and ‘synthetic dualism’ 3) A region-oriented view, a nation-oriented view, and a region-nation synthetic view 4) Philosophical views of a system remain highly influential in defining and observing systemic problems in the innovation system and in developing and implementing managerial regional innovation policies. (16/16) UKHan System Dynamics UngKyu Han
  • 17. REFERENCES Altuzarra, A. (2010). Public funding for innovation at different levels of government: an analysis of Spanish manufacturing. European Journal of Economics, Finance and Administrative Sciences, 20(May), 94-105. Andersen, D. F. (1980). How differences in analytic paradigms can lead to differences in policy conclusions. In J. Randers (Ed.), Elements of the System Dynamics Method. Massachusetts: MIT Press. Anh, T. T. (2003). System dynamic applied to study the urban traffic congestion of Hanoi. Paper presented at the the Eastern Asia Society for Transportation Studies Conference, Fukuoka. Baranoff, E. G. (2004). Risk management: a focus on a more holistic approach three years after September 11. Journal of Insurance Regulation, 22, 71-81. Barlas, Y. (1996). Formal aspects of model validity and validation in system dynamics. System Dynamics Review, 12(3), 183-210. Barlas, Y. (2002). System Dynamics: Systemic Feedback Modeling for Policy Analysis: Encyclopedia for Life Support Systems. Oxford: UNESCO Publishing. Barlas, Y., & Carpenter, S. (1990). Philosophical roots of model validation: Two paradigms. System Dynamics Review, 6(2), 148-166. Boschma, R., & Iammarino, S. (2009). Related variety, trade linkages, and regional growth in Italy. Economic Geography, 85(3), 289-311. Braczyk, H. J., Cooke, P., & Heidenreich, M. (1998). Regional Innovation Systems: The Role of Governances in a Globalized World. London: UCL Press. Campbell, C. A. (1996). Land literacy in Australia: land care and other new approaches to inquiry and learning for sustainability. In A. Budelman (Ed.), Agricultural R&D at the Crossroads: Merging Systems Research and Social Actor Approach. Amsterdam: Royal Tropical Institute. Cooke, P. (2007). To construct regional advantage from innovation systems first build policy platforms. European Planning Studies, 15(2), 179 - 194. Cooke, P. (2008). Regional innovation systems, clean technology & Jacobian cluster-platform policies. Regional Science Policy & Practice, 1(1), 23-45. Cooke, P., & Schienstock, G. (2000). Structural competitiveness and learning regions. Enterprise and Innovation Management Studies, 1(3), 265- 280. Dash, D. (1994). System dynamics: Changing perspectives. Systemic Practice and Action Research, 7(1), 87-98. Doloreux, D. (2003). Regional innovation systems in the periphery: the case of the Beauce in Québec (Canada). International Journal of Innovation Management, 7(1), 67-94. Doyle, J. K., & Ford, D. N. (1998). Mental models concepts for system dynamics research. System Dynamics Review, 14(1), 3-29. Edquist, C. (1997). Systems of Innovation: Technologies, Institutions and Organizations. London: Pinter. Engel, P. G. H. (1995). Facilitating innovation : an action-oriented approach and participatory methodology to improve innovative social practice in agriculture. Proefschrift Wageningen, Engel, [S.l.]. Retrieved from http://edepot.wur.nl/134647 Forrester, J. W. (1961). Industrial Dynamics. Massachusetts: MIT Press. (18/22) UKHan System Dynamics UngKyu Han
  • 18. Forrester, J. W. (1971). Counterintuitive behavior of social systems. Technology Review, 73(3), 52-68. Freeman, C. (1995). The ‘National System of Innovation’ in historical perspective. Cambridge Journal of Economics, 19(1), 5-24. Gary, M. S., Kunc, M., Morecroft, J. D. W., & Rockart, S. F. (2008). System dynamics and strategy. System Dynamics Review, 24(4), 407-429. Gertler, M. S. (2003). Tacit knowledge and the economic geography of context, or the undefinable tacitness of being (there). Journal of Economic Geography, 3(1), 75-99. Giuliani, E., & Bell, M. (2005). The micro-determinants of meso-level learning and innovation: evidence from a Chilean wine cluster. Research Policy, 34(1), 47-68. Goodstein, D. (1992). What do we mean when we use the term ‘science fraud’? The Scientist, 6, 11. Graf, H. (2011). Gatekeepers in regional networks of innovators. Cambridge Journal of Economics, 35(1), 173-198. Gregoriades, A., & Karakostas, B. (2004). Unifying business objects and system dynamics as a paradigm for developing decision support systems. Decision Support Systems, 37(2), 307-311. Han, U. K. (2009). Managerial measures for sustainable development of science parks in the UK and Korea,. MSc Degree, The University of Warwick, Coventry. Herstad, S. J., Bloch, C., Ebersberger, B., & van de Velde, E. (2010). National innovation policy and global open innovation: exploring balances, tradeoffs and complementarities. Science and Public Policy, 37, 113-124. Herstad, S. J., & Brekke, T. (2010). Globalization, modes of innovation and regional innovation systems. Paper presented at the the International Seminar on Regional Innovation Policies, Grimstad. Hofstede, G., Bond, M. H., & Luk, C.-l. (1993). Individual perceptions of organizational cultures: A methodological treatise on levels of analysis. Organization Studies, 14(4), 483-503. Isaksen, A. (2001). Building regional innovation systems: Is endogenous industrial development possible in the global economy? Canadian Journal of Regional Science, 24(1), 101-120. Jackson, M. C. (1999). Towards coherent pluralism in management science. The Journal of the Operational Research Society, 50(1), 12-22. Jackson, M. C. (2005). Systems Thinking: Creative Holism for Managers. Chichester: John Wiley and Son. Jung, S. Y. (1995). Integrated regional technology policy (Trans.). Science and Technology Policy, 38-53. Krugman, P. (2003). Growth on the Periphery: Second Wind for Industrial Regions? Glasgow: Fraser Allander Institute. Kuhn, T. S. (1996). The Structure of Scientific Revolutions (third ed.). Chicago: The University of Chicago Press. Lane, D. C. (1999). Friendly amendment: a commentary on Doyle and Ford's proposed re-definition of 'mental model'. System Dynamics Review, 15(2), 185-194. Lane, D. C. (2000). Should system dynamics be described as a ‘hard’ or ‘deterministic’ systems approach? Systems Research and Behavioral Science, 17(1), 3-22. (19/22) UKHan System Dynamics UngKyu Han
  • 19. Lane, D. C. (2001). Rerum cognoscere causas: part I - How do the ideas of system dynamics relate to traditional social theories and the voluntarism/determinism debate? System Dynamics Review, 17(2), 97-118. Lee, J. H. (2008). Korean regional innovation strategies: focused on the Gumi mobile cluster. Paper presented at the Korea-France S&T Policy Seminar, Paris. Levine, R. L. (1983). The paradigms of psychology and system dynamics. Paper presented at the International System Dynamics Society, New York. Lundvall, B. A. (1992). National Systems of Innovation. London: Pinter. Luyten, J., & Hoefnagel, B. (1995). Het oog van de wetenschapsfilosoof, visies op wetenschap en technologie [The Eye of the Science Philosopher]. Meppel: Boom. Meadows, D. H. (1980). The unavoidable a priori. In J. Randers (Ed.), Elements of the System Dynamics Method. Massachusetts: MIT Press. Meadows, D. H., & Robinson, J. (1985). The Electronic Oracle: Computer Models and Social Decisions. Chichester: John Wiley and Sons. Metcalfe, J. S. (1995). Technology systems and technology policy in an evolutionary framework. Cambridge Journal of Economics, 19(1), 25-46. Meyer-Krahmer, F. (1990). Innovationsorientierte regionalpolitik: ansatz, instrumente, grenzen. In H. E. Gramaztki, F. Klinger & H. G. Nutzinger (Eds.), Wissenschaft, Technik und Arbeit: Innovationen in Ost und West. Kssel: Deutscher Instituts Verlag. Morecroft, J. D. W. (1983). System dynamics: Portraying bounded rationality. Omega, 11(2), 131-142. Morecroft, J. D. W. (1994). Executive knowledge, models, and learning. In J. D. W. Morecroft & J. D. Sterman (Eds.), Modeling for Learning Organizations. Portland: Productivity Press. Nauwelaers, C., Reid, A., Muller, E., Gundrum, U., & Koschatzky, K. (1995). Innovative Regions? A Comparative Review of Methods of Evaluating Regional Innovation Potential. Brussels: European Commission and European Innovation Monitoring System. Nelson, R. (1993). National Innovation Systems: A Comparative Analysis. Oxford: Oxford University Press. Oxford English Dictionary. (2010, 09 January 2011). organization, n., from http://www.oed.com/view/Entry/132452?redirectedFrom=organisation Papageorgiou, G. N., & Hadjis, A. (2008). New planning methodologies in strategic management; an inter-paradigm system dynamics approach. Paper presented at the the International Conference of the System Dynamics Society, Athens. Park, S.-C. (2009). Innovative governance and strengthening national competitiveness in Finland. International Journal of Public Policy, 4, 495- 515. Pedersen, K., Emblemsvåg, J., Bailey, R., Allen, J. K., & Mistree, F. (2000). Validating design methods & research: the validation square. Paper presented at the the ASME design engineering technical conference, Baltimore. Popper, K. (1979). Objective Knowledge, An Evolution Approach. Oxford: Oxford University Press. Rafferty, M. (2007). Reductionism, holism and system dynamics. Paper presented at the International Conference of the System Dynamics Society, Boston. (20/22) UKHan System Dynamics UngKyu Han
  • 20. Ratzsch, D. (1996). The Battle of Beginnings: Why Neither Side is Winning the Creation-Evolution Debate. Illinois: InterVarsity Press. Rebernik, M., & Mulej, M. (2000). Requisite holism, isolating mechanisms and entrepreneurship. Kybernetes, 29(9/10), 1126 - 1140. Renting, H., De Bruin, R., & Pohlmann, E. (1994). Building Bridges: An Integral Approach of Ggriculture, Environment, Nature and Landscape in Eastermar's Lânsdouwe. Wageningen: Agricultural University. Richardson, G. P. (1999a). Feedback Thought in Social Science and Systems Theory. Miami: Pegasus Communications. Richardson, G. P. (1999b). Reflections for the future of system dynamics. The Journal of the Operational Research Society, 50(4), 440-449. Roberts, K., & Coutts, J. (1997). A Broader Approach to Common Resource Management: Landcare and Integrated Catchment Management in Queensland, Australia Agricultural Research and Extension Network Paper (Vol. 70). London: Overseas Development Institute. Roberts, S. A., Kiselica, M. S., & Fredrickson, S. A. (2002). Quality of life of persons with medical illnesses: counselling’s holistic approach. Journal of counselling and Development, 80(4), 422-432. Röling, N. (1996). Towards an interactive agricultural science. European Journal of Agricultural Education and Extension, 2(4), 35 - 48. Schiere, J. B., & Grasman, J. (1997). Agro-ecosystem health: Aggregation of systems in time and space. Paper presented at the a seminar agro- ecosystems health, Wageningen. Schiere, J. B., Lyklema, J., Schakel, J., & Rickert, K. G. (1999). Evolution of farming systems and system philosophy. Systems Research and Behavioral Science, 16(4), 375-390. Schwaninger, M. (2006). System dynamics and the evolution of the systems movement. Systems Research and Behavioral Science, 23(5), 583- 594. Senge, P. (1990). The Fifth Discipline: The Art and Practice of the Learning Organization. New York: Doubleday. Shapin, S. (1982). History of science and its sociological reconstructions. History of Science, 20, 157-211. Spedding, C. R. W. (1995). Sustainability in animal production systems. Animal Science, 61, 1-8. Sterman, J. D. (1994). Learning in and about complex systems. System Dynamics Review, 10(2-3), 291-330. Sterman, J. D. (2000). Business Dynamics: Systems Thinking and Modelling for a Complex World. Miami: Irwin McGraw-Hill. Sustainable Silicon Valley. (2010, 30 November 2010), from http://www.sustainablesv.org/ Tignor, W. W., & Myrtveit, M. (2001). Object-oriented design patterns and system dynamics components. Paper presented at the the International System Dynamics Society, Atlanta. Towill, D. R. (1993). System dynamics-background, methodology, and applications, 1. Background and methodology. Computing and Control Engineering Journal 4(5), 201-208. Vanderby, S., & Carter, M. W. (2010). An evaluation of the applicability of system dynamics to patient flow modelling. Journal of the Operational Research Society, 61, 1572-1581. Vázquez, M., & Liz, M. (2007). System dynamics and philosophy: a constructivist and expressivist approach. Paper presented at the International Conference of the System Dynamics Society, Boston. (21/22) UKHan System Dynamics UngKyu Han
  • 21. Vázquez, M., Liz, M., & Aracil, J. (1996). Knowledge and reality: some conceptual issues in system dynamics modeling. System Dynamics Review, 12(1), 21-37. Vennix, J. A. M. (1990). Mental models and computer models: design and evaluation of a computer-based learning environment for policy- making. PhD Degree, The University of Nijmegen, Nijmegen. Woodward, J., & Goodstein, D. (1996). Conduct, misconduct and the structure of science. American Scientist, 84(5), 479-490. THANK YOU FOR YOUR TIME. IDEAS AND SUPPORT! For more information, please contact UngKyu Han at ungkyuhan@gmail.com (22/22) UKHan System Dynamics UngKyu Han