Abstract
Different from a interaction model of traditional organizational incentive and individual behaviors, the research incorporates the concept of “cognitive bias” into a decision making model of employees’ co-opetition behaviors under organizational reform of joint-stock commercial banks based on theories of social dynamics, and establishes a model of employees’ co-opetition behaviors under different organizational incentives as well as variation characteristics of employees’ co-opetition behaviors. Research results show that in organizational change of commercial banks, incentive measures and communication modes shall be treated in differential manners according to specific stages, so that balanced distribution of resources and effect maximization can be achieved. At the initial stage of reform, strengthening of core employee management shall be emphasized and its diffusion effects shall be utilized positively. In this way, progress of organizational reform can be promoted from the microscopic layer.
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Deffuant G, Neau D, Amblard F et al (2000) Mixing beliefs among interacting agents. Adv Complex Syst 3(01n04):87–98
Dellermann D, Ebel P, Söllner M et al. (2019) Hybrid intelligence. Bus Inf Syst Eng 61(5):637–643
Fisher L (2009) The perfect swarm: the science of complexity in everyday life. Basic Books, New York
Galam S (2016) Stubbornness as an unfortunate key to win a public debate: an illustration from sociophysics. Mind Soc 15(1):117–130
Haag M, Lagunoff R (2007) On the size and structure of group cooperation. J Econ Theory 135(1):68–89
Hegselmann R, Krause U (2002) Opinion dynamics and bounded confidence models, analysis, and simulation. J Artif Soc Soc Simul 5(3):1–2
Huang C, Hu B, Jiang G et al (2016) Modeling of agent-based complex network under cyber-violence. Phys A 458:399–411
Jiang F, Zhao X, Bai Q (2019) Simulation and stability analysis of conflict events between employees and organization based on the social network. Concurr Comput Pract Exp 2018:e5097
Jin H, Yang Z et al (2013) Exploring how organizational incentives and organizational culture affect knowledge sharing based on modified SIT. Stud Sci Sci 11:1697–1707
Kahneman D (2002) Maps of bounded rationality: a perspective on intuitive judgment and choice. Nobel Prize Lect 8:351–401
Kahneman D, Tversky A (2013) Prospect theory: an analysis of decision under risk. In: MacLean LC, Ziemba WT (eds) Handbook of the fundamentals of financial decision making: part I. World Scientific, Singapore, pp 99–127
Kreidler WJ (2005) Creative conflict resolution: more than 200 activities for keeping peace in the classroom. Good Year Books, Culver City
Kurmyshev E, Juárez HA, González-Silva RA (2011) Dynamics of bounded confidence opinion in heterogeneous social networks: concord against partial antagonism. Phys A 390(16):2945–2955
Lee D, Van den Steen E (2010) Managing know-how. Manag Sci 56(2):270–285
Liu X (2017) Evolution and simulation analysis of co-opetition behavior of E-business internet platform based on evolutionary game theory. Cluster Comput. https://doi.org/10.1007/s10586-017-1265-x
Lv S, Yang R, Huang C (2017) Contusion and recovery of individual cognition based on catastrophe theory: a computational model. Neurocomputing 220:210–220
Lv Z, Hu B, Lv H (2019) Infrastructure monitoring and operation for smart cities based on IoT system. IEEE Transact Ind Inform. https://doi.org/10.1109/TII.2019.2913535
Mian M, Jaffry W (2019) Modeling of individual differences in driver behavior. J Ambient Intell Human Comput. https://doi.org/10.1007/s12652-019-01313-2
Paris S, Donikian S (2009) Activity-driven populace: a cognitive approach to crowd simulation. IEEE Comput Gr Appl 29(4):34–43
Tan L, Hu M, Lin H (2015) Agent-based simulation of building evacuation: combining human behavior with predictable spatial accessibility in a fire emergency. Inf Sci 295:53–66
Wei G, Lean Y et al (2007) A study on incentive factors of team cooperation based on synergy effect. Syst Eng Theory Pract 01:1–9
Xu B, Liu R, Liu W (2014) Individual bias and organizational objectivity: an agent-based simulation. J Artif Soc Soc Simul 17(2):1–2
Zhang Y, Leezer J (2010) Simulating human-like decisions in a memory-based agent model. Comput Math Organ Theory 16(4):373–399
Zhao X, Hu B (2016) Qualitative simulation on staff counterproductive work behaviors based on stochastic catastrophe theory. J Manag Sci China 02:13–30
Zhong H, Li X, Lobell D et al (2018) Hierarchical modeling of seed variety yields and decision making for future planting plans. Environ Syst Decis 38(4):458–470
Zhu G, Huang C, Hu B et al (2016) Autonomy in individual behavior under multimedia information. Multimed Tools Appl 75(22):14433–14449
Zollman K (2011) Computer simulation and emergent reliability in science. J Artif Soc Soc Simul 14(4):15
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This research is supported by projects of China Postdoctoral Science Foundation (No. 2018M643213) and National Social Science Foundation of China (No. 17CTQ030).
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Lv, S., Ma, X. & Yang, R. Organization incentive driven by modeling of the co-opetition behavior in agent-based complex network. J Ambient Intell Human Comput 11, 3305–3313 (2020). https://doi.org/10.1007/s12652-019-01517-6
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DOI: https://doi.org/10.1007/s12652-019-01517-6