质性知识构造与量化知识分析综论:兼论学术对标法理论基础     

叶鹰 《中国图书馆学报》2022,48(1):38-51

文章在简要综述知识基因、知识单元、知识表示和知识图谱的基础上,探讨知识的质性构造和量化分析基础,指出知识具有表型(外型)、构型(内型)和量型(量值)三型特征。用逻辑分析法从现象到本质揭示知识表型特征,包括语言文字型、公式符号型和图表图谱型;知识构型可用学科类别和特征概念标识;知识量型可基于数据或信息计算知识量。进一步提出用知识花图式和知识花程式展示质性知识构造与量化知识分析。由知识三型特征引出知识变换三假设以及学术评价"对标法";揭示质性知识构造适合解析静态知识特征,量化知识分析可延伸处理动态知识演化。质性知识构造与量化知识分析同时适用于剖析知识客体和知识主体,并独具学术评价应用价值。倡导通过知识分析创新图书情报学,同时也通过图书情报学促进知识之花盛开。  相似文献   

面向自主创新需求的信息服务业务推进   总被引：8，自引：0，他引：8  

胡昌平  向菲 《中国图书馆学报》2008,34(3)

要建设创新型国家必须重视信息化建设。国家自主创新主体的信息需求具有多种特征。面向自主创新的信息服务业,要在知识服务整合、面向用户的个性化服务、基于信息技术的业务拓展和网络虚拟服务组织等方面不断深化。面向自主创新的服务业务体系社会化重构战略,应注重于国家管理机制的转型、重构目标的选择与定位、体系重构的实施及其政策法律保障等诸多方面。表1。图2。参考文献3。  相似文献   

A survey of Web-based business models for e-government in the Netherlands     

Marijn Janssen  George Kuk  René W. Wagenaar 《Government Information Quarterly》2008

Governments worldwide are increasingly using Web-based business models to enhance their service delivery. Yet the concept of the business model is unexplored within the context of e-government. Drawing upon the literature on e-commerce, we develop a taxonomy for analyzing Web-based business models for e-government. Based on a systematic survey of 59 e-government Web sites in the Netherlands, our findings indicate that most of the Web sites use the content provider or direct-to-customer business models, while only a few are using novel business models. Overall, the concept of business model is appealing and useful in the public sector. Specifically it compliments research on Web site quality by analyzing and describing Web sites using atomic e-government business models and suggesting improvements by using combinations of business models.  相似文献   

管理学数据库Emerald简介及其经营策略     

刘鹏年  佘丽君 《图书馆建设》2008,(1):63-65

本文对管理学数据库Emerald的概况、产品特色进行了分析,对其经营策略、存在的困难和未来发展前景进行探讨.  相似文献   

图书馆业务外包实践与风险防范   总被引：15，自引：0，他引：15  

温万虎 《图书馆杂志》2006,25(8):33-34

简要介绍了图书馆业务外包及其带来的效益，列举了业务外包的类型及外包策略，并对业务外包可能产生的风险进行了分析，提出了控制风险的若干措施。  相似文献   

Build It and They Will Come? Patron Engagement Via Twitter at Historically Black College and University Libraries     

Brenton Stewart  Jessie Walker 《The Journal of Academic Librarianship》2018,44(1):118-124

This study is a social media analysis on the use of Twitter at Historically Black Colleges and University (HBCU) libraries. While information science researchers have begun examining how libraries use social media, the vast majority of these studies are situated at large flagship research-intensive universities. Additionally, there currently exist deficiencies in research on social media deployment at HBCU libraries. We leverage, the IBM Watson's analytic engine, to systemically examine over 23,000, tweets over an eighteen-month period, around a set of objective measures including propagation of retweets and sentiment to assess follower engagement. The analysis found little evidence of follower engagement with library generated content. However, we observed a substantial volume of library tweets coalesced around institutional boosterism, rather than library related phenomena. This non-library related content represented the vast majority of retweets, but paradoxically was propagated by non-followers. Additionally, tweets relating to institutional boosterism produced the most positive sentiment within the data.  相似文献   

Suggestions for the "Integration in Multiple Certificates" Curriculum System Construction     

赵平 《海外英语》2014,(14)

Business English professional "Integration in Multiple Certificates" refers to these two kinds of certificates——a diploma and vocational certificates. Business English curriculum design unified vocational qualification certificate with professional training objectives. Basis on the meeting of requirements of certificates for graduation, making professional training contents, curriculum,teaching methods together with vocational training and the requirements of professional qualification certificates.  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   

A first assignment to create student buy‐in in an introductory business statistics course     

Daria Newfeld 《Teaching Statistics》2016,38(3):87-90

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Multimodal data as a means to understand the learning experience     

《International Journal of Information Management》2019

Most work in the design of learning technology uses click-streams as their primary data source for modelling & predicting learning behaviour. In this paper we set out to quantify what, if any, advantages do physiological sensing techniques provide for the design of learning technologies. We conducted a lab study with 251 game sessions and 17 users focusing on skill development (i.e., user's ability to master complex tasks). We collected click-stream data, as well as eye-tracking, electroencephalography (EEG), video, and wristband data during the experiment. Our analysis shows that traditional click-stream models achieve 39% error rate in predicting learning performance (and 18% when we perform feature selection), while for fused multimodal the error drops up to 6%. Our work highlights the limitations of standalone click-stream models, and quantifies the expected benefits of using a variety of multimodal data coming from physiological sensing. Our findings help shape the future of learning technology research by pointing out the substantial benefits of physiological sensing.  相似文献