Study Of Dynamic Network Simulation On Coordination Between Information System And Organization

In 21st century of information era, the relationships between information system and human organization become more and more tight. Information system can help human organization improve performance, and the suitable organization structure can help information system design, implement, maintain better. The coordination between these two is a complex managerial and technical issue. This paper uses agent-based social simulation and network analysis to study the coordination between information system and human organization.This paper discusses the issue of coordination between information system and organization from social-technical system theory, and categorizes into two directions: the impact of organization on information system and opposite direction. This paper combines simulation study and empirical research to study several questions related to coordination between information system and organization.A network analysis is used in study coordination network between information system and organzaiton. We uses open source software (OSS) community as an exmple. The success of OSS projects is related to the dependency structures among developers, projects, modules and files. We use empirical data from sourceforge.net to observe phenomena of the coordination among developers and among modules. The impact of coordination in dependency networks on project success is examined to align with coordination criteria: intermediation, hierarchization, marginalization, consistency and adjacency.IS adoption and diffusion using an empirical relationships is studied based modelling and simulation method. We select an E-commerce system as our research object and design questionnaire to obtain data from E-commerce users. In the simulation study, from the viewpoint of organization, we find insights related to the impact of organizational size, culture, communication, network structure on information technology diffusion, and testify the IT diffusion is the emergent phenomena of IS adoption at the macro level. We propose a computational model to reconstruct the spreading of IT (information technology) in social networks. Using this computational model as a test-bed and running a series of virtual experiments, we acquire observations and implications about how to choose an initial set of people to maximize the performance of spreading IT. Also, we observe and analyze the impacts of the network structures including topology, size and density and the initial selected number of targeted people on the dynamics of mobile viral advertising. The virtual experiments also help us to examine the suitable policies for combining viral adverting with mass marketing.To research interaction between group and task in information organzation, Transactive Memory is introduced to computer simulation in this paper. AMTMGTI (Agent-based Model of Transactive Memory for Group-Task Interaction) is proposed to describe the mechanism in group-task interaction. Among tasks, individuals and skills of a project team in an organzation, there are many relationships in complex team network. We use some action rules related to task execution, communication and learning in Transactive Memory System to drive this AMTMGTI model.We also use a computational model to examine organizational adaptation on four dimensions: Agility, Robustness, Resilience, and Survivability. We analyze the dynamics of organizational adaptation by a simulation study on the interaction between tasks and organization in a sales enterprise.