Simulation Reach on Multi-Generation Digital Product Diffusion Based on Agent

doi:10.16182/j.issn1004731x.joss.19-0678

Abstract

Abstract: Digital products have the characteristics of multi-generation coexistence and diffusion, and the multi-generation product diffusion model is an important tool to study it. The existing models ignores some factors of the product, consumer and environment that significantly affect the diffusion process. A multi-generation digital product diffusion model is proposed by using the ABMS, fuzzy inference, complex network and utility theories. The experiment results show that the model can playback the diffusion process of iPhones, which indicates that the model has a good simulation/prediction capability when the historical data is sufficient, and can be a marketing analysis and decision-making tool for digital products.

Key words: product diffusion, digital product, multi-generation, ABMS

CLC Number:

TP391.9

Qiao Jian, Xia Jingwen, Wang Pan. Simulation Reach on Multi-Generation Digital Product Diffusion Based on Agent[J]. Journal of System Simulation, 2020, 32(7): 1393-1401.

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