This paper discusses the evolution of telecommunication industrial value chain （TIVC）, analyzes the influence of technical innovation and customer demand on TIVC, and establishes the model. The appearance of the cir...This paper discusses the evolution of telecommunication industrial value chain （TIVC）, analyzes the influence of technical innovation and customer demand on TIVC, and establishes the model. The appearance of the circuit switching technology and packet switching technology together with the diversity of the demand of customers change the structure of TIVC, causing vibration in value creation and distribution systems. With changes of the TIVC, enterprises in the chain will accordingly alter their business models, products （services） and the internal organizational structures. All these changes will lead to the reconstruction and optimization of the TIVC, and consequently, promote the development of the telecommunication industry.展开更多
The maturity of big data analysis theory and its tools improve the efficiency and reduce the cost of massive data mining.This paper discusses the method of product customer demand mining based on big data,and further ...The maturity of big data analysis theory and its tools improve the efficiency and reduce the cost of massive data mining.This paper discusses the method of product customer demand mining based on big data,and further studies the configuration of product function attributes.Firstly,the Hadoop platform was used to perform product attribute data participle and feature word extraction based on Apriori algorithm was used to mine product customer demand information.And then the MapReduce model on the big data platform was applied into efficient parallel data processing,obtaining product attributes with research value,and their weights and attribute levels.After that,the cloud model and the MNL model were employed to construct the product function attribute configuration model,and the improved artificial bee colony algorithm was used to solve the model.The optimal solution of the product function attribute configuration model was got.Finally,an example was given to illustrate the feasibility of the proposed method in this paper.展开更多
文摘This paper discusses the evolution of telecommunication industrial value chain （TIVC）, analyzes the influence of technical innovation and customer demand on TIVC, and establishes the model. The appearance of the circuit switching technology and packet switching technology together with the diversity of the demand of customers change the structure of TIVC, causing vibration in value creation and distribution systems. With changes of the TIVC, enterprises in the chain will accordingly alter their business models, products （services） and the internal organizational structures. All these changes will lead to the reconstruction and optimization of the TIVC, and consequently, promote the development of the telecommunication industry.
基金the National Natural Science Foundation of China granted 71961005the Guangxi Science and Technology Program granted 1598007-15.
文摘The maturity of big data analysis theory and its tools improve the efficiency and reduce the cost of massive data mining.This paper discusses the method of product customer demand mining based on big data,and further studies the configuration of product function attributes.Firstly,the Hadoop platform was used to perform product attribute data participle and feature word extraction based on Apriori algorithm was used to mine product customer demand information.And then the MapReduce model on the big data platform was applied into efficient parallel data processing,obtaining product attributes with research value,and their weights and attribute levels.After that,the cloud model and the MNL model were employed to construct the product function attribute configuration model,and the improved artificial bee colony algorithm was used to solve the model.The optimal solution of the product function attribute configuration model was got.Finally,an example was given to illustrate the feasibility of the proposed method in this paper.
