基于知识治理的公共档案馆服务质量优化机制研究

[目的/意义] 在公共档案馆服务质量优化中引入知识治理理论,使得复杂的服务质量优化问题获得更本质的理解和更有效的解决途径,为公共档案馆服务质量和服务能力提升提供参考。[方法/过程] 以知识治理理论为支撑,对公共档案馆服务质量优化进行分析与探讨,设计公共档案馆服务质量优化机制。[结果/结论] 通过借鉴和探析知识治理机制,构建公共档案馆服务质量影响因素优化机制,主要包括优化的环境、优化的目标、优化内部动能（治理机制）、优化外部动力和优化过程五个部分。     

政府网站信息资源知识元模型与可视化表征研究

[目的/意义]利用知识元模型理论研究政府网站知识服务效果的优化路径,辅以可视化表征技术,以降低大数据环境下政务用户信息获取的操作负载和知识加工的认知负荷。[方法/过程]依据相关知识元模型研究推理出符合政府网站信息资源属性特征的六元组知识元表示方法和四元组知识元本体结构,采用TextRank与HDP算法分别抽取政府网站信息资源关键词和主题词,并由领域专家根据抽取结果确定知识元,构建包含知识元本体库生成和可视化知识服务的政府网站信息资源领域知识元可视化表征模型。[结果/结论]通过政府网站发布的共享单车实例检验知识元可视化表征模型的有效性和可行性,为实现政府网站粗粒度信息服务转向以知识元为单位的细粒度知识服务范式开辟了新的研究思路,可视化知识服务模式增强了政务信息导航的结构化和用户解读领域文本语义的效果。     

我国文化金融研究领域文献分析——来自2002-2016年CSSCI来源数据库的证据

随着文化产业的快速发展,文化金融成为新兴的研究领域。本文选择2002-2016年CSSCI数据库收录的文化金融相关研究文献,运用词频统计法、可视化知识图谱法、内容分析法等多种文献计量研究方法全面分析国内有关金融支持文化产业发展的研究现状。研究发现:现阶段有关金融支持文化产业发展的研究文献逐年增加,分布期刊和研究机构众多,研究范围较广,研究内容包含国际经验比较、经验分析和实证分析;但目前该领域的研究主题相对分散,研究不够深入,缺乏微观数据支撑和模型研究,缺乏构建金融支持体系操作层面的分析,缺乏对具象产业的差异化分析,这些是未来进一步研究的方向。     

A new approach to explore the knowledge transition path in the evolution of science & technology: From the biology of restriction enzymes to their application in biotechnology

In this contribution, we develop a new approach to explore the process of knowledge transition from discovery-oriented science to technological fields, via applications-oriented research, including a mediator set. This trajectory is referred to as the D-A-T trajectory. It is shown how it can be constructed and measures are proposed to characterize the relational strength among different environments (discovery oriented research, applications-oriented research and patents) and the speed of evolution. Our approach is illustrated by a case study of three fundamental restriction enzymes articles. Among other results we found that 387 patents cited 124 of the 988 articles (a share of 12.55%) in the mediator set. Defining the non-patent references (NPR) transition rate as the number of citing patents divided by the number of articles in the mediator set yields a value 0.392. Our results suggest that the D-A-T path acts as a backbone and reveals important “invisible contributions” of an original scientific work during its evolution from discovery oriented research to outside academia. Our contribution provides a useful tool for bridging the existing gap in detecting the transition of knowledge between science and technology.     

利用布尔方法对馆员知识自律影响知识共享定性比较

馆员知识自律模式体现了馆员知识转移行动并把自身最有利的知识应用到工作中,使复杂的知识从内化到外化得以知识共享。根据馆员自律特征,采用布尔代数方法,对表示馆员条件进行布尔代数定性比较。分析馆员知识自律特征结构以及和知识转移、知识共享关系。揭示馆员知识自律特征和知识转移和共享管理之间的联系,为馆员提供支持知识转移合适条件。     

Confidence in prior knowledge,self-efficacy,interest and prior knowledge: Influences on conceptual change

This study explored how confidence in prior knowledge, self-efficacy, interest, and prior knowledge interact in conceptual change learning. One hundred and sixteen college students completed an assessment of confidence in prior knowledge, self-efficacy, interest, prior scientific understanding, and prior misconceptions before reading a refutation text on seasonal change. Students’ misconceptions and scientific understanding of seasonal change was then assessed before and after reading a refutation text, and again at a two week delayed posttest. Three profiles of students emerged based on their confidence in prior knowledge, self-efficacy, interest, prior scientific understanding, and prior misconceptions. The profiles included: (1) Low (low confidence, self-efficacy, interest, and prior scientific understanding and high prior misconceptions), (2) mixed (high confidence, self-efficacy, and interest, but low prior scientific understanding and high prior misconceptions), and (3) high (high confidence, self-efficacy, interest, and prior scientific understanding and low prior misconceptions). Results indicated that the mixed profile appeared to be most productive for conceptual change and that learner characteristics most productive for conceptual change learning may differ from those most productive in other learning situations.     

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

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.     

The Metamorphosis of Industrial Designers from Novices to Experts

Professional training for designers is crucial in the field of design studies. The characteristics of novices versus those of expert designers have been identified in the literature; however, studies exploring the issue of professional training processes in the actual workplace are not well developed. Our study addresses the topic by using qualitative research methods along with flexible design. Collected data from the interviewees with different work experience were analysed by open, axial and selective coding. Herein, we argue that the processes by which a designer transforms from a novice into an expert in the industry are constructed through the interaction of several complicated factors. The re‐learning inherent in design professions is implemented through knowledge transfer gained from participation in design projects, particularly regarding tacit knowledge. Also, the novice's process of learning and training yields the characteristics and skills that companies and firms require of designers; this process involves a series of disciplinary sub‐processes, from destructive to reconstructive, implemented by employers. In these sub‐processes, the subjectivity of designers is neglected, leading to the suppression of imaginative expression and feelings of alienation among these workers.     

Diverse socio-technical aspects of a digital archive of Aboriginal languages

ABSTRACT

A socio-technical approach is taken to explore a digital archive of Australian Indigenous cultural heritage. The Living Archive of Aboriginal Languages is considered in terms of what it is currently doing and what it was intended to do. Two ethnographic stories focusing on user interactions and the outcomes of an online survey serve to evaluate the effectiveness of the Archive from the perspective of different users. This is then juxtaposed with a consideration of the original grant application, outlining what was envisaged for the project. This analysis serves to highlight some of the contingent relations and diverse socio-technical aspects of a specific knowledge infrastructure, as it allows multiple forms of interaction, new connections and generative activities as people discover, access and interact with the content now and into the future.     

Social relations as predictors of achievement in math in Kenyan primary schools

In sub-Saharan Africa, where there is limited financial and human capital, it is important to examine how social relationships may serve to promote or undermine human capital formation. However, little is known about the contributions of social relations to human capital development, especially in terms of academic achievement in Africa. This study examined how variations in key aspects of social relations among teachers; between teachers and students; between principals, teachers, parents and students affect achievement in mathematics among sixth graders in 70 schools in six districts in Kenya. We modeled mathematics achievement as a function of measures of social perception and support while adjusting for school-, classroom- and student level background characteristics. We found that net of teacher subject knowledge and background characteristics, teachers who display commitment to teaching by always correcting homework and keeping students engaged during math lessons had their students performing better. Teacher absenteeism and lack of interest in teaching were negatively associated with performance in math. Lack of parental involvement in the classroom also had negative effects on grades. At the school level, the level of engagement of the principal, measured by supervision of teachers and good interpersonal interactions with parents had positive effects on math achievement. Schools where parents provided material and financial support had better grades, while student delinquency and absenteeism negatively affected grades.