{"title":"Research on Dynamic Model of Interorganizational Information System Diffusion Based on System Dynamics","authors":"Jiao Wang, Xin Zhang, Chuan-Yun Li","doi":"10.1109/INFOMAN.2019.8714673","DOIUrl":null,"url":null,"abstract":"The diffusion of interorganizational information system is a dynamic process. Studying the dynamic changes of IOIS from a macro perspective can not only promote the further spread of IOIS, but also have guiding significance for enterprises to adopt IOIS. We used the system dynamics method to construct the dynamic model of IOIS diffusion, used the sensitivity analysis method to carry out the model test, and selected Vensim to carry out the system simulation for the model. The simulation results shown that government policy support and guidance, bank loan ability, impact of adoption organizations, university(scientific research institution)support and support of software companies have different degrees of influence on IOIS diffusion.","PeriodicalId":186072,"journal":{"name":"2019 5th International Conference on Information Management (ICIM)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 5th International Conference on Information Management (ICIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFOMAN.2019.8714673","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The diffusion of interorganizational information system is a dynamic process. Studying the dynamic changes of IOIS from a macro perspective can not only promote the further spread of IOIS, but also have guiding significance for enterprises to adopt IOIS. We used the system dynamics method to construct the dynamic model of IOIS diffusion, used the sensitivity analysis method to carry out the model test, and selected Vensim to carry out the system simulation for the model. The simulation results shown that government policy support and guidance, bank loan ability, impact of adoption organizations, university(scientific research institution)support and support of software companies have different degrees of influence on IOIS diffusion.
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