Generating insights: The effectiveness of dicrete-event simulation models in creative problem solving

2014 Operational Research Society Simulation Workshop, SW 2014

Volumn , Issue , 2014, Pages 133-142

  Gogi, Anastasia ^a   Tako, Antuela A ^a   Robinson, Stewart ^a  

^a LOUGHBOROUGH UNIVERSITY   (United Kingdom)

Author keywords

Aha! Moment; Insight; Learning; Simulation

Indexed keywords

DISCRETE EVENT SIMULATION;

COGNITIVE PSYCHOLOGY; CREATIVE PROBLEM-SOLVING; DISCRETE-EVENT SIMULATION MODEL; EFFECTIVE SOLUTION; INSIGHT; LEARNING; SIMULATION; SYSTEM DYNAMICS;

PROBLEM SOLVING;

EID: 84982319192     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (75)

1. Abeler J and Nosenzo D (2013). Self-selection into economics experiments is driven by monetary rewards. Institute for the Study of Labor (IZA) Discussion Papers 7374, URL: http://ftp.iza.org/dp7374.pdf.
2. Ackoff R L (1979). The future of operational research is past. Journal of the Operational Research Society 30(2): 93-104.
3. Akinci C and Sadler-Smith E (2012). Intuition in Management Research: A Historical Review. International Journal of Management Reviews, 14(1): 104-122.
4. Bakken B, Gould J and Kim D (1992). Experimentation in learning organizations: A management flight simulator approach. European Journal of Operational Research 59 (1): 167-182.
5. Baldwin L P, Eldabi T and Paul R J (2004). Simulation in healthcare management: a soft approach (MAPIU). Simulation Modelling Practice and Theory 12(7-8): 541-557.
6. th International Conference of the System Dynamics Society. System Dynamics Society: Seoul, Korea.
7. Bell P C (1991). Visual interactive modelling: the past, the present, and the prospects. European Journal of Operational Research 54(3): 274-286.
8. Bell P C and O'Keefe R M (1987). Visual interactive simulation-history, recent developments, and major issues. Simulation 49(3): 109-116.
9. Bonner S E and Sprinkle G B (2002). The effects of monetary incentives on effort and task performance: theories, evidence, and a framework for research. Accounting, Organizations and Society 27(4): 303-345.
10. Bowden E M and Jung-Beeman M (2003). Aha! Insight experience correlates with solution activation in the right hemisphere. Psychonomic Bulletin & Review 10(3): 730-737.
11. Bowden E M, Jung-Beeman M, Fleck J and Kounios J (2005). New approaches to demystifying insight. Trends in Cognitive Sciences 9(7): 322-328.
12. Cavaleri S and Sterman J D (1997). Towards evaluation of systems thinking interventions: a case study. System Dynamics Review 13(2): 171-186.
13. Chronicle E P, MacGregor J N and Omerod T C (2004). What makes an insight problem? The roles of heuristics, goal conception, and solution recoding in knowledge-lean problems. Journal of Experimental Psychology. Learning, Memory & Cognition 30(1): 14-27.
14. Cronin M A, Gonzalez C and Sterman J D (2009). Why don't well-educated adults understand accumulation? A challenge to researchers, educators, and citizens. Organizational Behavior and Human Decision Processes 108(1): 116-130.
15. Csikszentmihalyi M and Sawyer K (1995). Creative insight: the social dimension of a solitary moment. In: Sternberg R J and Davidson J E (eds). The Nature of Insight. The MIT Press: Cambridge, MA, US, pp 329-363.
16. Dane E and Pratt M (2007). Exploring intuition and its role in managerial decision making. Academy of Management Review 32(1): 33-54.
17. Davidson J E (1995). The suddenness of insight. In: Sternberg R J and Davidson J E (eds). The Nature of Insight. The MIT Press: Cambridge, MA, US, pp 125-155.
18. Diehl E and Sterman J D (1995). Effects of feedback complexity on dynamic decision making. Organizational Behavior and Human Decision Processes 62(2): 198-215.
19. Dobson G and Shumsky R (2006). Web-based simulations for teaching queuing, Little's Law, and inventory management. INFORMS Transactions on Education 7(1): 106-123.
20. Dominowski R L and Dallob P (1995). Insight and problem solving. In: Sternberg R J and Davidson J E (eds). The Nature of Insight. The MIT Press: Cambridge, MA, US, pp 33-62.
21. Dunbar K (1995). How scientists really reason: scientific reasoning in real-world laboratories. In: Sternberg R J and Davidson J E (eds). The Nature of Insight. The MIT Press: Cambridge, MA, US, pp 365-396.
22. Durso F T, Rea C B and Dayton T (1994). Graph-theoretic confirmation of restructuring during insight. Psychological Science 5(2): 94-98.
23. Elder M D (1992). Visual interactive modelling: some guidelines for its implementation and some aspects of its potential impact on operational research. PhD Thesis, University of Strathclyde.
24. Finke R A (1996). Imagery, Creativity, and Emergent Structure. Consciousness and Cognition 5(3): 381-393.
25. Gates E (1989). Webster's New World Dictionary. Cambridge University Press.
26. Größler A (2001). Musings about the effectiveness and evaluation of business simulators. In: Hines J H, Diker V G, Langer R S and Rowe J I (eds). Proceedings of the 19th International Conference of the System Dynamics Society. System Dynamics Society: Atlanta, USA.
27. Größler A (2004). Don't let history repeat itself? Methodological issues concerning the use of simulators in teaching and experimentation. System Dynamics Review 20(3): 263-274.
28. Gunnells K (2011). Rational, intuition and insight: thee phenomenologically distinct modes of decision making. PhD Thesis, University of Alabama.
29. Harper P and Pitt M (2004). On the challenges of healthcare modelling and a proposed project life cycle for successful implementation. Journal of the Operational Research Society 55(6): 657-661.
30. Hélie S and Sun R (2010). Incubation, insight, and creative problem solving: a unified theory and a connectionist model. Psychological Review 117(3): 994-1024.
31. Jones G (2003). Testing two cognitive theories of insight. Journal of Experimental Psychology Learning, Memory & Cognition 29(5):1017.
32. Kahneman D (2011). Thinking, fast and slow. Farrar, Straus and Giroux: New York, NY, US.
33. Kaplan C A and Simon H A (1990). In search of insight. Cognitive Psychology 22(3): 374-419.
34. Kershaw T C and Ohlsson S (2004). Multiple causes of difficulty in insight: the case of the nine-dot problem. Journal of Experimental Psychology: Learning, Memory, and Cognition, 30(1): 3-13.
35. Kopainsky B, Alessi S M, Pedercini M and Davidsen P I (2009). Exploratory strategies for simulation-based learning about national development. In: Ford A, Ford D N and Anderson E G (eds). Proceedings of the 27th International Conference of the System Dynamics Society. System Dynamics Society: New Mexico, USA.
36. Kotiadis K, Tako A A and Vasilakis C (2013). A participative and facilitative conceptual modelling framework for discrete event simulation studies in healthcare. Journal of the Operational Research Society advance online publication 6 March, doi:10.1057/jors.2012.176.
37. Kounios J and Beeman M (2009). The Aha! moment the cognitive neuroscience of insight. Current Directions in Psychological Science 18(4): 210-216.
38. Kounios J, Fleck J I, Green D L, Payne L, Stevenson J L, Bowden E M and Jung-Beeman M (2008). The origins of insight in resting-state brain activity. Neuropsychologia 46(1): 281-291.
39. Kounios J, Frymiare J L, Bowden E M, Fleck J I, Subramaniam K, Parrish T B and Jung-Beeman M (2006). The prepared mind: neural activity prior to problem presentation predicts subsequent solution by sudden insight. Psychological Science 17(10): 882-890.
40. Langley P A and Morecroft J D (2004). Performance and learning in a simulation of oil industry dynamics. European Journal of Operational Research 155(3): 715-732.
41. Lee C B (2010). The interactions between problem solving and conceptual change: System dynamic modelling as a platform for learning. Computers & Education 55: 1145-1158.
42. Maier N R F (1940). The behavior mechanisms concerned with problem solving. Psychological Review 47(1): 43-58.
43. Mayer R E (2010). Problem solving and reasoning. In: Peterson P, Baker E and McGaw B (eds). International Encyclopedia of Education. 3rd Edition. Elsevier: Oxford, pp 273-278.
44. Mayer R E (1995). The search for insight: grappling with Gestalt psychology's unanswered questions. In: Sternberg R J and Davidson J E (eds). The Nature of Insight. The MIT Press: Cambridge, MA, US, pp 3-32.
45. Metcalfe J and Wiebe D (1987). Intuition in insight and noninsight problem solving. Memory & Cognition 15(3): 238-246.
46. Monks T, Robinson S and Kotiadis K (2014). Learning from discrete-event simulation: exploring the high involvement hypothesis. European Journal of Operational Research, forthcoming.
47. Monxes E (2004). Misperceptions of basic dynamics: the case of renewable resource management. System Dynamics Review 20(2): 139-162.
48. Morecroft J D (1992). Executive knowledge, models and learning. European Journal of Operational Research 59 (1): 9-27.
49. Öllinger M, Jones G and Knoblich G (2008). Investigating the effect of mental set on insight problem solving. Experimental Psychology 55(4): 270-282.
50. Öllinger M, Jones G, Faber A H and Knoblich G (2013). Cognitive mechanisms of insight: the role of heuristics and representational change in solving the eight-coin problem. Journal of Experimental Psychology: Learning, Memory, and Cognition 39(3): 931-939.
51. Paul R J and Kuljis J (2010). Problem solving, model solving, or what?. In: Johansson B, Jain S, Montoya-Torres J, Hugan J and Yücesan E (eds). Proceedings of the 2010 Winter Simulation Conference. Baltimore, USA, pp 353-358.
52. Robinson S (2001). Soft with a hard centre: discrete-event simulation in facilitation. Journal of the Operational Research Society 52: 905-915.
53. Robinson S (2004). Simulation: the practice of model development and use. John Wiley and Sons Ltd: Chichester.
54. Robinson S (2005). Discrete-event simulation: from the pioneers to the present, what next?. Journal of the Operational Research Society 56: 619-629.
55. Robinson S and Pidd M (1998). Provider and customer expectations of successful simulation projects. Journal of the Operational Research Society 49: 200-209.
56. Rouwette E A J A, Korzilius H, Vennix J A M and Jacobs E (2011). Modeling as persuasion: the impact of group model building on attitudes and behavior. System Dynamics Review 27(1): 1-21.
57. Schooler J W, Fallshore M and Fiore S M (1995). Epilogue: putting insight into perspective. Sternberg R J and Davidson J E (eds). The Nature of Insight. The MIT Press: Cambridge, MA, US, pp 559-587.
58. Seifert C M, Meyer D E, Davidson N, Patalano A L and Yaniv I (1995). Demystification of cognitive insight: Opportunistic assimilation and the prepared-mind hypothesis. In: Sternberg R J and Davidson J E (eds). The Nature of Insight. The MIT Press: Cambridge, MA, US, pp 65-124.
59. Senge P M and Sterman J D (1992). Systems thinking and organizational learning: Acting locally and thinking globally in the organization of the future. European Journal of Operational Research 59(1): 137-150.
60. Simon H A (1979). Models of thought. Yale University Press: Binghampton, NY, US.
61. SIMUL8 Corporation (2013). Simul8 Simulation Software.
62. Smith D (1990). The use of microcomputer-based simulation models in the teaching of operations management. International Journal of Operations & Production Management 10(5): 5-14.
63. Smith S M (1995). Getting into and out of mental ruts: a theory of fixation, incubation, and insight. In: Sternberg R J and Davidson J E (eds). The Nature of Insight. The MIT Press: Cambridge, MA, US, pp 3-32.
64. Sterman J D (1994). Learning in and about complex systems. System Dynamics Review, 10(2-3): 291-330.
65. Sterman J D (1989a). Misperceptions of feedback in dynamic decision making. Organizational Behavior and Human Decision Processes 43(3): 301-335.
66. Sterman J D (1989b). Modeling managerial behavior: Misperceptions of feedback in a dynamic decision making experiment. Management Science 35(3): 321-339.
67. Sternberg R J (2009). Cognitive Psychology. 5th Edition, Cengage Learning: Wadsworth.
68. Sternberg R J (1999). Handbook of creativity. Cambridge University Press: New York.
69. Topolinski S and Reber R (2010). Gaining insight into the 'aha' experience. Current Directions in Psychological Science 19(6): 402-405.
70. van der Zee D and Slomp J (2009). Simulation as a tool for gaming and training in operations management-a case study. Journal of Simulation 3(1): 17-28.
71. Ward T B, Smith S M and Finke R A (1999). Creative cognition. In: Sternberg R J (ed)., Handbook of Creativity. Cambridge University Press: New York, pp 189-212.
72. Warren K and Langley P (1999). The effective communication of system dynamics to improve insight and learning in management education. Journal of the Operational Research Society, 50(4): 396-404.
73. Weisberg R W (1995). Prolegomena to theories of insight in problem solving: a taxonomy of problems. In: Sternberg R J and Davidson J E (eds). The Nature of Insight. The MIT Press: Cambridge, MA, US, pp 157-196.
74. Weisberg R W (1999). Creativity and knowledge: a challenge to theories. In: Sternberg R J (ed). Handbook of Creativity. Cambridge University Press: New York, NY, USA, pp 226-250.
75. Wynder M (2004). Facilitating creativity in management accounting: a computerized business simulation. Accounting Education 13(2): 231-250.