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   

基于用户馆体验视角的图书馆服务平台选择思考     

刘素清 《图书情报工作》2018,62(14):49-54

[目的/意义] 传统的集成图书馆系统（ILS）正在被图书馆服务平台（LSP）所取代,国内许多高校图书馆致力于对ILS的评估和对LSP的考察。然而,LSP的产品多种多样,图书馆很难决定哪种LSP最适合他们。对目前LSP主流产品的市场格局、发展情况进行分析,旨在为计划由ILS转向LSP的高校图书馆决策提供参考。[方法/过程] 基于国外高校图书馆使用LSP的体验和感知,对市场上主要的图书馆服务平台进行分析、评估和总结。[结果/结论]由于ILS/LSP市场的整合,LSP供应商数量正在缩减,目前只有Alma、Sierra和OCLC WMS得到充分实施。此外,开源项目FOLIO的推出为图书馆提供了另外一种思路。但目前这种单一的整合性图书馆服务平台不是解决方案,基于平台由若干松散耦合的组件构成的图书馆生态系统,才是图书馆真正的下一代服务平台,自主创新,研发适合国内图书馆环境的下一代开放服务平台迫在眉睫。  相似文献   

公共档案馆微信公众平台服务质量影响因素研究   总被引：2，自引：1，他引：1  

宋雪雁  朱立香  房梦莎  邓君 《图书情报工作》2018,62(1):15-23

[目的/意义] 从用户感知的角度,构建公共档案馆微信公众平台服务质量影响因素模型,为公共档案馆服务质量优化奠定基础。[方法/过程] 通过问卷调查构建公共档案馆微信公众平台服务质量影响因素模型,使用SPSS软件,用探索性因子分析方法对假设模型进行检验,根据结果对假设模型进行修正,并对修正后的影响因素模型进行讨论。[结果/结论] 从用户感知角度全面综合分析微信公众平台上公共档案馆服务质量影响因素的构成,主要包括服务过程与系统运行、用户特征与费用、档案内容的内部特征、档案内容的外部特征和公众平台界面设计5个维度以及服务交互性等25个影响因素。  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   

Placing Facebook     

Brett G. Johnson  Kimberly Kelling 《Journalism Practice》2018,12(7):817-833

Facebook is challenging professional journalism. These challenges were evident in three incidents from 2016: the allegation that Facebook privileged progressive-leaning news on its trending feature; Facebook’s removal of the Pulitzer Prize-winning “Napalm Girl” photo from the pages of prominent users; and the proliferation of “fake news” during the US presidential election. Using theoretical concepts from the field of boundary work, this paper examines how The Guardian, The New York Times, Columbia Journalism Review and Poynter editorialized Facebook’s role in these three incidents to discursively construct the boundary between the value of professional journalism to democracy and Facebook’s ascendant role in facilitating essential democratic functions. Findings reveal that these publications attempted to define Facebook as a news organization (i.e., include it within the boundaries of journalism) so that they could then criticize the company for not following duties traditionally incumbent upon news organizations (i.e., place it outside the boundaries of journalism). This paper advances scholarship that focuses on both inward and outward conceptions of boundary work, further explores the complex challenge of defining who a journalist is in the face of rapidly changing technological norms, and advances scholarship in the field of media ethics that positions ethical analysis at the institutional level.  相似文献   

音乐艺术院校实践教学平台构建研究     

包洋 《黑龙江教育学院学报》2014,(5):68-71

建立具有特色的实践与创新能力培养体系,使人才培养质量与培养目标和社会需求相符合,是当前高校教学改革的重点和难点。基于此,选择天津音乐学院作为主要调研对象,中央音乐学院等国内具有代表性的音乐艺术院校作为辅助调研对象,结合天津艺术演出场所的发展及需求现状,以音乐艺术实践教学平台构建为研究专题,探索艺术实践教学的新思路和新模式。  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