商业模式创新是战略管理领域研究的一个重要构念,已有研究表明成功的商业模式创新对于企业在激烈的市场竞争中争取和保持竞争优势具有助推作用。文章在已有文献的基础上总结分析了商业模式创新的动力和演进机理、对比了相关理论模型的优...商业模式创新是战略管理领域研究的一个重要构念,已有研究表明成功的商业模式创新对于企业在激烈的市场竞争中争取和保持竞争优势具有助推作用。文章在已有文献的基础上总结分析了商业模式创新的动力和演进机理、对比了相关理论模型的优劣,并结合"互联网+"情境下企业面临的实践问题构建了一个以客户需求为出发点,通过搭建企业和客户之间的联动平台机制、运用云服务综合管理实现客户需求与企业产品和服务相匹配的商业模式C2M(Customer to Maker)模型。展开更多
Ship motion,with six degrees of freedom,is a complex stochastic process.Sea wind and waves are the primary influencing factors.Prediction of ship motion is significant for ship navigation.To eliminate errors,a path pr...Ship motion,with six degrees of freedom,is a complex stochastic process.Sea wind and waves are the primary influencing factors.Prediction of ship motion is significant for ship navigation.To eliminate errors,a path prediction model incorporating ship pitching was developed using the Gray topological method,after analyzing ship pitching motions.With the help of simple introduction to Gray system theory,we selected a group of threshold values.Based on an analysis of ship pitch angle sequences over 40 second intervals,a Grey metabolism GM(1,1) model was established according to the time-series which every threshold corresponded to.Forecasting future ship motion with the GM(1,1) model allowed drawing of the forecast curve with effective forecasting points.The precision of the test results show that the model is accurate,and the forecast results are reliable.展开更多
文摘商业模式创新是战略管理领域研究的一个重要构念,已有研究表明成功的商业模式创新对于企业在激烈的市场竞争中争取和保持竞争优势具有助推作用。文章在已有文献的基础上总结分析了商业模式创新的动力和演进机理、对比了相关理论模型的优劣,并结合"互联网+"情境下企业面临的实践问题构建了一个以客户需求为出发点,通过搭建企业和客户之间的联动平台机制、运用云服务综合管理实现客户需求与企业产品和服务相匹配的商业模式C2M(Customer to Maker)模型。
文摘Ship motion,with six degrees of freedom,is a complex stochastic process.Sea wind and waves are the primary influencing factors.Prediction of ship motion is significant for ship navigation.To eliminate errors,a path prediction model incorporating ship pitching was developed using the Gray topological method,after analyzing ship pitching motions.With the help of simple introduction to Gray system theory,we selected a group of threshold values.Based on an analysis of ship pitch angle sequences over 40 second intervals,a Grey metabolism GM(1,1) model was established according to the time-series which every threshold corresponded to.Forecasting future ship motion with the GM(1,1) model allowed drawing of the forecast curve with effective forecasting points.The precision of the test results show that the model is accurate,and the forecast results are reliable.
