With the economic globalization and the increasingly fierce industrial competition at home and abroad, the importance of industrial competitive intelligence service is becoming increasingly prominent. Under the policy...With the economic globalization and the increasingly fierce industrial competition at home and abroad, the importance of industrial competitive intelligence service is becoming increasingly prominent. Under the policy background of cooperation and sharing, pluralistic coordination has become a new trend in regional economic development. The multi collaborative online service platform of industrial competitive intelligence is jointly constructed by all service subjects. The platform is guided and promoted by the government. Colleges and universities provide support for industrial competitive intelligence theory and professionals, scientific research institutes provide talent and advanced technology support, industry associations are responsible for dynamic monitoring of industrial development, and profit-making institutions are responsible for supplementing industrial competitive intelligence achievements. All service subjects integrate and explore existing intelligence resources and services through the unified online industrial competitive intelligence sharing platform, so as to realize benign cooperation, collaborative management, resource integration, user integration and service integration among subjects, so as to realize multiple collaborative services of industrial competitive intelligence.展开更多
This paper constructs a multiple collaborative service model of industrial competition intelligence with the main purpose of promoting the development of regional industries. The multiple service subjects include ente...This paper constructs a multiple collaborative service model of industrial competition intelligence with the main purpose of promoting the development of regional industries. The multiple service subjects include enterprises, governments, colleges and universities, scientific research institutes, industry associations and for-profit institutions. This article starts from the overall development of regional industrial economy, weighs the mutual relationship between the elements of the service model, and promotes multiple service subjects such as enterprises, governments, universities, research institutes, industry associations, and profit-making organizations to realize the collaborative service of resource intelligence, demand intelligence and data intelligence provides linkage intelligence service for the development and innovation of regional industries. This service model can improve the efficiency of industrial competitive intelligence services and the overall competitiveness of regional industries.展开更多
Competitive intelligence(CI)is a key factor in helping business leaders gain and maintain competitive advantages.The emergence of big data and Web 2.0 has created new opportunities and more challenges for enterprises ...Competitive intelligence(CI)is a key factor in helping business leaders gain and maintain competitive advantages.The emergence of big data and Web 2.0 has created new opportunities and more challenges for enterprises to effectively obtain CI.This paper attempts to explore a CI identification method based on strategic factors(SF).By filtering process before CI collection,the core CI,closely related to critical success factors and crisis inducement factors,are identified reliably and efficiently.Based on knowledge element model and multiattribute fusion method,emphasis is placed on the construction of a criterion function by which the SF thesaurus in achieving CI objectives is established.The advantages of this method lie not only in the capability of mining the core CI from massive data,but also in the foundation of efficient CI storage and analysis.This paper is of significance to make a thorough inquiry on CI obtaining and fusing methods of CI system in era of big data.Experiment results verified the feasibility and validity of this study.展开更多
文摘With the economic globalization and the increasingly fierce industrial competition at home and abroad, the importance of industrial competitive intelligence service is becoming increasingly prominent. Under the policy background of cooperation and sharing, pluralistic coordination has become a new trend in regional economic development. The multi collaborative online service platform of industrial competitive intelligence is jointly constructed by all service subjects. The platform is guided and promoted by the government. Colleges and universities provide support for industrial competitive intelligence theory and professionals, scientific research institutes provide talent and advanced technology support, industry associations are responsible for dynamic monitoring of industrial development, and profit-making institutions are responsible for supplementing industrial competitive intelligence achievements. All service subjects integrate and explore existing intelligence resources and services through the unified online industrial competitive intelligence sharing platform, so as to realize benign cooperation, collaborative management, resource integration, user integration and service integration among subjects, so as to realize multiple collaborative services of industrial competitive intelligence.
文摘This paper constructs a multiple collaborative service model of industrial competition intelligence with the main purpose of promoting the development of regional industries. The multiple service subjects include enterprises, governments, colleges and universities, scientific research institutes, industry associations and for-profit institutions. This article starts from the overall development of regional industrial economy, weighs the mutual relationship between the elements of the service model, and promotes multiple service subjects such as enterprises, governments, universities, research institutes, industry associations, and profit-making organizations to realize the collaborative service of resource intelligence, demand intelligence and data intelligence provides linkage intelligence service for the development and innovation of regional industries. This service model can improve the efficiency of industrial competitive intelligence services and the overall competitiveness of regional industries.
基金the National Natural Science Foundation of China(No.91024029)the Social Science Youth Fund of Liaoning Province of China(No.L13CTQ013)
文摘Competitive intelligence(CI)is a key factor in helping business leaders gain and maintain competitive advantages.The emergence of big data and Web 2.0 has created new opportunities and more challenges for enterprises to effectively obtain CI.This paper attempts to explore a CI identification method based on strategic factors(SF).By filtering process before CI collection,the core CI,closely related to critical success factors and crisis inducement factors,are identified reliably and efficiently.Based on knowledge element model and multiattribute fusion method,emphasis is placed on the construction of a criterion function by which the SF thesaurus in achieving CI objectives is established.The advantages of this method lie not only in the capability of mining the core CI from massive data,but also in the foundation of efficient CI storage and analysis.This paper is of significance to make a thorough inquiry on CI obtaining and fusing methods of CI system in era of big data.Experiment results verified the feasibility and validity of this study.
