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Article

Simulating the diffusion of technological innovation with an integrated hybrid agent-based system dynamics model

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Pages 231-240 | Received 29 Oct 2012, Accepted 14 Jan 2014, Published online: 19 Dec 2017

References

  • BassFMA new product growth model for consumer durablesManagement Science196915521522710.1287/mnsc.15.5.215
  • ChahalKEldabiTYoungTA conceptual framework for hybrid system dynamics and discrete event simulation for healthcareJournal of Enterprise Information Management2013261507410.1108/17410391311289541
  • CraigCSDouglasSPGreinAPatterns of convergence and divergence among industrialised nations: 1960–1988Journal of International Business Studies199223477378710.1057/palgrave.jibs.8490288
  • DekimpeMGParkerPMSarvaryMStaged estimation of international diffusion models an application to global cellular telephone adoptionTechnological Forecasting and Social Change1998571–210513210.1016/S0040-1625(97)00085-1
  • DekimpeMGParkerPMSarvaryM‘Globalization’: Modeling technology adoption timing across countriesTechnological Forecasting and Social Change2000631254210.1016/S0040-1625(99)00086-4
  • Duggan J (2011). iSimPlus: A multi-method simulation tool for modelling complex systems. In: Proceedings of the 29th International Conference of the System Dynamics Society. System Dynamics Society: Albany, NY.
  • FishbeinMAjzenIBelief, Attitude, Intention, and Behavior: An Introduction to Theory and Research1975
  • Hamre LJ (2008). Exploring the use of social capital to support technology adoption and implementation. DBA Thesis, University of Bath, http://opus.bath.ac.uk/, accessed 7 October 2011.
  • KieslingEGüntherMStummerCWakolbingerLMAgent-based simulation of innovation diffusion: A reviewCentral European Journal of Operations Research201220218323010.1007/s10100-011-0210-y
  • ParunakHVSavitRRioloRLAgent-based Modelling versus Equation-based Modelling: A Case Study and Users’ Guide19981025
  • LaneDCWith a little help from our friends: How system dynamics and soft OR can learn from each otherSystem Dynamics Review1994102–310113410.1002/sdr.4260100203
  • Lorenz T and Jost A (2006). Towards an orientation framework in multi-paradigm modeling. In: Proceedings of the 24th International Conference of the System Dynamics Society. System Dynamics Society: Albany, NY.
  • RahmandadHStermanJHeterogeneity and network structure in the dynamics of diffusion: Comparing agent-based and differential equation modelsManagement Science2008545998101410.1287/mnsc.1070.0787
  • RogersEMDiffusion of Innovations2003
  • SailerLDStructural equivalence: Meaning and definition, computation and applicationSocial Networks197811739010.1016/0378-8733(78)90014-X
  • SargentRGVerification and validation of simulation modelsJournal of Simulation201371122410.1057/jos.2012.20
  • ShanthikumarJGSargentRGA unifying view of hybrid simulation/analytic models and modelingOperations Research19833161030105110.1287/opre.31.6.1030
  • StermanJDBusiness Dynamics: Systems Thinking and Modelling for a Complex World2000
  • SwinerdCMcNaughtKRDesign classes for hybrid simulations involving agent-based and system dynamics modelsSimulation Modelling Practice and Theory201220111813310.1016/j.simpat.2011.09.002
  • Swinerd C and McNaught KR (2012b). Getting the most out of an international diffusion model through evolutionary programming. In: Proceedings of the 2012 Winter Simulation Conference. IEEE: Piscataway, NJ.
  • TaylorSToddPAUnderstanding information technology usage: A test of competing modelsInformation Systems Research19956214417610.1287/isre.6.2.144
  • VenkateshVSmithRHMorrisMGDavisGBDavisFDWaltonSMUser acceptance of information technology: Toward a unified viewMIS Quarterly2003273425478
  • Viana J, Rossiter S, Channon AA, Brailsford SC and Lotery A (2012). A multi-paradigm, whole system view of health and social care for age-related macular degeneration. In: Proceedings of the 2012 Winter Simulation Conference. IEEE: Piscataway, NJ.
  • Wakeland WW, Gallaher EJ, Macovsky LM and Aktipis CA (2004). A comparison of system dynamics and agent-based simulation applied to the study of cellular receptor dynamics. In: Proceedings of the 37th Annual Hawaii International Conference on System Sciences, Waikola, USA.
  • Wilensky U (1999). NetLogo. http://ccl.northwestern.edu/netlogo. Center for Connected Learning and Computer-based Modeling. Northwestern University, Evanston, IL.
  • World Bank (2012). http://databank.worldbank.org/ddp/home.do, accessed 7 October 2011.

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