Research On Mobile Commerce Information Dissemination And Its Impact On Value Chain

With the increasing popularity and applications of mobile commerce, information dissemination under mobile commerce and the related issues of value flow in mobile commerce value chain have aroused people's extensive attention.The traditional theoretical analysis and empirical research methods have some study deficiencies in this issue, and some study results can not be developed in depth. Therefore, based on a review of related theories and literatures at home and abroad, design an integrated computer simulation methods, attempt to study the information diffusion issue of mobile commerce in three aspects, mainly include:information diffusion under the mobile business, information life cycle evolution under mobile commerce and the interaction between them, and apply them to the value stream study issue in mobile commerce value chain.Firstly, study the information diffusion in mobile commerce. Use multi-agent and discrete event simulation methods to study the information diffusion phenomenon in mobile commerce, in which use multi-agent method to simulate the individuals and diffused information in mobile commerce, use discrete event method to simulate producing different types information. Analyze and point out the information dissemination features under mobile commerce, analyze and summarize these characteristics, sum up the key influencing factors of information diffusion in mobile commerce, analyze the relationship between these factors, and the mutual influence among them. With a simulation model to show the relationship between the key factors, that is, establish a multi-agent simulation model of information diffusion,analyze the information generated phenomenon,construct a discrete event simulation model to generate continuously updated information, and integrate the established multi-agent simulation model and discrete event model to form a complete information spread simulation model in mobile commerce.Through simulation experiments, analyze the specific effect results of different key factors to information diffusion, sum up the general rules of information diffusion.Secondly, use the system dynamics method to study the information life cycle evolution issue in mobile commerce.See information life cycle evolution issue in mobile commerce as a system, analyze and point out the various key influencing factors on information life cycle evolution in mobile commerce, from the view of qualitative point to study the relationship between these factors, and use the system causal loop diagram to show them, based on the causal loop diagram, then from the view of quantitative point to describe the relationship between those factors, build a corresponding system flow diagram, define the various constants, rate and state variables, also dynamic differential equations of state variables, one of the state variables is information utility value, which is used to represent the evolution process of information life cycle.Do simulation experiments, respectively investigate the influence results of each constant and rate variable to the state variables, and summarize the evolution laws of information life cycle.Based on the studies of the above two parts, design a integrated simulation model to research the interaction effect law between the information spread phenomenon and information life cycle in mobile commerce,more in-deep study the information spread and life cycle phenomenon. Study in two parts,one is information spread effect to information life cycle evolution in mobile commerce, use the above information spread multi-agent simulation model, analyze the specific effect results of information spread to information life cycle, modify the above constructed system dynamics model of information life cycle to correspond with the effects of information spread,and integrate the multi-agent and system dynamics simulation methods, the latest revised information life cycle model is information spread effects to life cycle model, do simulation experiments,analyze the parameters in information spread model effects to life cycle evolution, summarize the specific influencing results. Second is information life cycle evolution influences in mobile commerce to information spread, use the above constructed information spread multi-agent model and information life cycle system dynamics model, information spread is not only influenced by the parameters in the model,but also by information life cycle,so that more in-depth study information diffusion phenomenon.Analyze the effect results of information life cycle,and modify the information diffusion multi-agent model,get a information spread model which is influenced by information life cycle.Do simulation experiments,analyze the parameters in system dynamics model effects to information diffusion,summarize the corresponding influencing law. Put the above findings together to get the interaction influencing rules between information spread and information life cycle evolution in mobile commerce.Finally,use multi-agent simulation method to study the effects of information diffusion phenomenon and life cycle evolution in mobile commerce to the participants' value in value chain. Use multi-agent simulation model of information spread, explore a information life cycle model to divide each stage of information life cycle, at different staged information will have different characteristics, and the corresponding products of information have different values.Abstract each participant in mobile commerce value chain as an agent,and design their properties,behavior and the interaction rules between each other, integrate the agent models of participants, agent model of information diffusion and life cycle model as a model,do simulation experiments,analyze and study information diffusion and life cycle model effects to each participant's value in mobile commerce value chain,summarize the corresponding influencing law,from the quantitative perspective to study all participants obtained value in mobile commerce value chain at closer range.