专利地图初探   总被引：5，自引：0，他引：5  

杨光 《晋图学刊》2005,(6):4-6

文章介绍了专利地图的概念、分类、及其在企业竞争情报活动中的应用和发展情况。  相似文献   

基于"综合集成研讨厅"的企业竞争情报系统研究   总被引：8，自引：3，他引：8  

吴晓伟  徐福缘  吴伟昶 《情报学报》2004,23(6):746-754

本文分析了企业竞争情报系统的复杂性特征 ,指出企业竞争情报系统建立应采用“从定性到定量综合集成”的思想 ,综合现有的智能决策支持系统、群体决策支持系统等各种决策支持新技术。分析了竞争情报综合集成研讨厅的关键问题 ,包括定性到定量的转换、综合集成、研讨。在此基础上 ,给出了竞争情报综合集成研讨厅的体系结构和实现方法  相似文献   

竞争战略差异度的定量研究   总被引：2，自引：1，他引：2  

吴晓伟  吴伟昶  徐福缘 《情报学报》2004,23(5):585-589

本文认为可以把竞争战略差异度作为竞争情报分析工具之一。战略差异度在预测产业发展和演进、资本市场的投资赢利回报、企业战略转移的难易性等方面具有特殊的意义。  相似文献   

SVA竞争情报系统的规划与软件实施     

李湖生 《现代图书情报技术》2004,20(12):64-67

简述了竞争情报系统的概念，并分析了上海广电集团有限公司实施CIS的必要性及可能性；在此基础上，介绍了上海广电集团有限公司竞争情报系统（SVA-CIS）的规划方案及实施方法，以及相关工作情况，并简单评述了该系统的运行情况。    相似文献   

基于竞争情报的企业危机管理   总被引：3，自引：0，他引：3  

李纲  王庆 《中国图书馆学报》2004,30(6)

竞争情报所关注的是与企业竞争相关的各类信息。竞争情报工作应关注的问题有:预见和消化科学技术急速发展可能带来的后果;检查收益指标;针对可能发生的危机,制定竞争情报策略;商业环境监测;留意企业并购、投资、竞争领域选择等方面的决策,及时预测和发现可能对企业造成危机的相关环节,寻找合适的解决办法,最大限度减少企业危机。参考文献11。  相似文献   

基于可持续发展观的协同模型--论图书情报事业发展     

胡昌平  罗贤春 《图书馆杂志》2005,24(7):7-12

图书情报与国民经济的协同发展是对可持续发展观的具体实现，本文提出进入与实施双层协同模型，并具体阐述了要素、领域、对象、进入方式、频率、模式、力度等构建过程。为图书情报事业发展提供参考。  相似文献   

近年来国内竞争情报研究述评--基于中国期刊网1999～2004年竞争情报论文的统计分析   总被引：10，自引：0，他引：10  

陈远  望俊成 《图书情报知识》2005,(6):70-73

本文以中国期刊全文数据库（CNKI）收录的1999-2004年竞争情报相关论文为基础，通过大量数据统计分析，指出了我国竞争情报（CI：Competitive intelligence）研究的主要方向，并结合各方向的具体分析，指出了我国在竞争情报研究方面的不足，提出了相应的对策和我国竞争情报研究新的发展趋势。  相似文献   

智慧图书馆建设误区与建设策略     

常青  杨武健  龚景兴 《图书情报工作》2018,62(19):13-18

[目的/意义] 探究构建智慧图书馆的主要策略,回答什么是智慧图书馆,智慧图书馆是什么样式,建设智慧图书馆的策略,解决智慧图书馆建设中一些模糊不清的理论与实践问题,以拓宽视野。[方法/过程] 采用文献调研与实地调研相结合,梳理和分析图书馆发展历程,指出智慧图书馆建设中出现的误区,提出建设策略。[结果/结论] 提出构建智慧图书馆五大策略,即整体的目标分析与设计;从数据到大数据;多元数据的融合;协调合作与分步落地;创新环境营造。  相似文献   

Business Intelligence Capabilities and Firm Performance: A Study in China     

《International Journal of Information Management》2021

The development of artificial intelligence (AI) technology expands the boundary of business practice, inducing the emergence and application of business intelligence (BI) that has promoted the transformation of information techniques to optimize business decision and operation. However, there is a lack of theoretical consensus and measurement of the technology embedded in BI at present. This study exploratively develops the Sense-Transform-Drive (STD) conceptual model of BI based on dynamic capabilities theory and organizational evolutionary theory to explain the core BI capabilities. By using factoring analysis and structural equation modeling analysis, we extract the latent constructs and empirically verify the validity of the STD model and further examine the correlation and mode of interaction of the three core BI capabilities and the impact of BI application on firm performance in the real economy with a sample contextual to Chinese business practices. The study results show that there are direct and high-intensity cumulative positive effects among the structural components of the STD conceptual model and BI-related dynamic capabilities can enhance operating efficiency and firm performance.  相似文献   

In the hearts and minds of employees: A model of pre-adoptive appraisal toward artificial intelligence in organizations     

《International Journal of Information Management》2021

Organizations face increasing pressure to implement artificial intelligence (AI) within a variety of business processes and functions. Many perceived benefits surround AI, but a considerable amount of trepidation also exists because of the potential of AI to replace human employees and dehumanize work. Questions regarding the future of work in the age of AI are particularly salient in pre-adoption organizations, before employees have the opportunity to gain direct experience with AI. To cope with this potentially stressful situation, employees engage in cognitive appraisal processes based on their own knowledge and personal use of AI. These pre-adoptive appraisals of AI influence both affective and cognitive attitudes, which in turn trigger behavioral responses that influence an organization’s ability to leverage AI successfully. Our survey of 363 Taiwanese employees shows that perceptions of AI’s operational and cognitive capabilities are positively related to affective and cognitive attitudes toward AI, while concerns regarding AI have a negative relationship with affective attitude only. Interaction effects of employee knowledge and affective attitude are also observed. This work’s main contribution lies in the development of an empirically-tested model of the potential impact of AI on organizations from an employee perspective in the pre-adoption phase. These results have practical implications for how organizations prepare for the arrival of this transformative technology.  相似文献