{"title":"基于系统动力学分析的多代产品竞争扩散模型","authors":"Huan Guo, Sifeng Liu","doi":"10.1109/GSIS.2017.8077729","DOIUrl":null,"url":null,"abstract":"Based on the system dynamics analyzing and considering the competition environment sufficiently, this study constructs an integrated multi-generation diffusion model based on system dynamics, which considers dynamic market potential with a competitive relationship among generations and products. In addition, this study investigates how the price could be included as an explanatory variable. To verify the proposed model, an empirical study on telecommunication products. The finding reveal that given insufficient historical data related to product spread, the model has a perfect fitness, and the parameter estimate results tell a good story about the whole picture of telecommunication products spread. The model has done better than other models in terms of forecasts precision. Accordingly, we can conclude that the multi-generation product diffusion model is effective.","PeriodicalId":425920,"journal":{"name":"2017 International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A diffusion model of the multi-generations products competition by system dynamics analyzing\",\"authors\":\"Huan Guo, Sifeng Liu\",\"doi\":\"10.1109/GSIS.2017.8077729\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the system dynamics analyzing and considering the competition environment sufficiently, this study constructs an integrated multi-generation diffusion model based on system dynamics, which considers dynamic market potential with a competitive relationship among generations and products. In addition, this study investigates how the price could be included as an explanatory variable. To verify the proposed model, an empirical study on telecommunication products. The finding reveal that given insufficient historical data related to product spread, the model has a perfect fitness, and the parameter estimate results tell a good story about the whole picture of telecommunication products spread. The model has done better than other models in terms of forecasts precision. Accordingly, we can conclude that the multi-generation product diffusion model is effective.\",\"PeriodicalId\":425920,\"journal\":{\"name\":\"2017 International Conference on Grey Systems and Intelligent Services (GSIS)\",\"volume\":\"69 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Grey Systems and Intelligent Services (GSIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GSIS.2017.8077729\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Grey Systems and Intelligent Services (GSIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GSIS.2017.8077729","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A diffusion model of the multi-generations products competition by system dynamics analyzing
Based on the system dynamics analyzing and considering the competition environment sufficiently, this study constructs an integrated multi-generation diffusion model based on system dynamics, which considers dynamic market potential with a competitive relationship among generations and products. In addition, this study investigates how the price could be included as an explanatory variable. To verify the proposed model, an empirical study on telecommunication products. The finding reveal that given insufficient historical data related to product spread, the model has a perfect fitness, and the parameter estimate results tell a good story about the whole picture of telecommunication products spread. The model has done better than other models in terms of forecasts precision. Accordingly, we can conclude that the multi-generation product diffusion model is effective.