基于扎根理论的精益知识管理能力的维度划分与检验

【目的/意义】精益知识管理能力是企业开展精益生产的效果大相径庭的重要原因之一,弄清精益知识管理能力的内涵和构成维度对优化企业精益知识管理能力具有重要意义。【方法/过程】本文以实施精益生产的企业为样本,采集典型企业数据,运用扎根理论方法,按照开放式编码、主轴式编码和选择性编码的路径,构建精益知识管理能力的维度结构和内容,从而归纳出相对饱和的理论,并对其进行验证。【结论】研究将精益知识管理能力划分为精益知识获取能力、精益知识整合能力和精益知识应用能力等3个维度和14个构成要素、为企业提升精益知识管理能力提供了参考。     

广东省生产力服务体系科技创新服务能力评价模型构建研究

“十三五时期”,广东省生产力服务体系快速发展,规模逐年壮大,服务内容从传统的中介服务逐步向全链条创新服务转变,发展趋势不断往专业化、网络化、集成化和国际化转变,逐步成为粤港澳大湾区国际科技创新中心和广东科技创新强省建设的重要支撑。为适应广东省生产力服务体系发展的新形势,进一步提升生产力中心系统的科技创新服务能力,亟需建立一套系统、全面的生产力科技创新服务能力评价体系,客观、科学地推进生产力体系的创新发展,作为其动态管理及政策支持的重要依据。因此,本文运用基于熵权法的TOPSIS综合评价方法,构建广东省生产力服务体系科技创新服务能力评价模型,并通过灰色关联分析法验证了评价模型的合理性,确定了关键影响因素。经实证研究发现,2010-2018年间广东省生产力服务体系科技创新服务能力总体呈上升趋势;各区域生产力促进中心发展不均衡,珠三角地区遥遥领先于粤东西北地区;企业服务能力、人力资源、科技创新资源对生产力服务体系科技创新服务能力影响相对显著。     

区块链何去何从?——基于网络分析

区块链的发展正在逐步扩大,并收到国际上越来越多的关注与兴趣。本文提供了一个完整的文献计量和网络分析,使用了Web of Science的核心数据库,为区块链的发展提供了新的见解,并提高了覆盖面。首先确立了1633篇已经发表的文章,并使用文献计量学来提供研究领域的描述。接着进行网络分析,以确定有影响力的作者,有影响力的出版社,同时参考了h指数。通过Vosviewer进行可视化分析,研究4个集群的主题,更全面的内容分析确定了关键的研究领域。确定当前研究兴趣的领域和未来研究的潜在方向。     

Social media opinion summarization using emotion cognition and convolutional neural networks

Quickly and accurately summarizing representative opinions is a key step for assessing microblog sentiments. The Ortony-Clore-Collins (OCC) model of emotion can offer a rule-based emotion export mechanism. In this paper, we propose an OCC model and a Convolutional Neural Network (CNN) based opinion summarization method for Chinese microblogging systems. We test the proposed method using real world microblog data. We then compare the accuracy of manual sentiment annotation to the accuracy using our OCC-based sentiment classification rule library. Experimental results from analyzing three real-world microblog datasets demonstrate the efficacy of our proposed method. Our study highlights the potential of combining emotion cognition with deep learning in sentiment analysis of social media data.     

A network-based concept extraction for managing customer requests in a social media care context

Web 2.0 changed everyday life in many aspects, including the whole system that orbits around the purchase of products and services. This revolution necessarily involved also companies, because customers became increasingly demanding. The diffusion of social media platforms pushed customers to prefer this channel for quickly obtaining information and feedback about what they want to buy, as well as for asking help after the selling. In this framework, many organisations adopted a new way of providing assistance known as social customer care. A direct link to companies allows customers to obtain real-time solutions. In this paper, we introduce a new strategy for automatically managing the information listed in the requests that customers send to the social media accounts of companies. Our proposal relies on the use of network techniques for extracting high-level structures from texts, highlighting the different concepts expressed into the customers’ written requests. The texts can be then organised on the basis of this new emerging information. An application to the requests sent to the AppleSupport service on Twitter shows the effectiveness of the strategy.     

Exploring CO2 mitigation pathway of local industries using a regional-based system dynamics model

Low-carbon development based on low energy consumption, low pollution and low emissions has become an important strategic choice for worldwide governments to achieve sustainable development. In order to support smart government in decision making, information systems have been developed to monitor and predict CO₂ emissions. Most of the existing studies investigate CO₂ emission amounts, identify influencing factors of CO₂ emission and discuss potential suggestions to mitigate CO₂ emission for different industries. They often focus on CO₂ emission research of industries in a region or country, while the integration of carbon flow in the neighboring regions is not well studied. Therefore, this paper proposes a system dynamics model to explore an optimal carbon emission reduction path of a regional industry by integrating regional differences, i.e., industrial comparative advantages, technology advantages and the inter-regional context between the neighboring regions. In the case study, we use a key industry in a typical industrial region of Western China, the cement industry in Chongqing, as a scenario to simulate the CO₂ emission, possible energy demand and cement production of the cement industry in this region for recent years. Simulation results show that by leveraging the regional differences, especially the collaboration of the industrial chain and production capacity among regions, the cement industry in Chongqing can achieve the low-carbon target. In addition, through the analysis and discussions about the features of our model and Chongqing’s cement industry, it reflects that our model using regional differences is applicable to industries with a common demand market at the regional level such as energy, chemical and steel industries.     

科技图书馆辅助高层次人才引进的服务案例研究

[目的/意义]探讨科技图书馆开展人才服务的方法和成效,为同行机构开展类似服务提供参考。[方法/过程]介绍广东省科技图书馆围绕高层次人才引进链条布局的服务链,并总结服务实践经验。[结果/结论]科技图书馆辅助高层次人才引进最关键要做好3点:一是要夯实数据基础,重视一手数据建设;二是要积极拓展业务面,重视工具方法组合创新;三是要综合多种服务模式,把握好时代热点和用户需求。     

微博预置话题与突发话题的特征挖掘研究

[目的/意义]借鉴拉斯韦尔5W传播模型,探讨微博中预置话题与突发话题的特征。[方法/过程]基于因子分析的关键节点影响力评价方法来研究话题节点特征;利用Ward方法对话题博文量曲线进行聚类,并对曲线进行多项式拟合;对话题情感度曲线进行聚类,并对不同类型话题的峰度和整体情感加权平均高峰期进行研究。[结果/结论]话题首节点多是信息分享,其中突发话题的传播多是从事件的客观描述开始;话题微博按博文量可分为前热型、中热型、后热型、爆发型和持续型,其中突发话题比预置话题爆发得更早、持续时间更长;话题出现72小时后公众情感趋于中立,但突发话题情感曲线高峰期比预置话题更集中,整体情感加权平均高峰期更早出现,曲线趋势更复杂。     

电子书包环境下小学智慧课堂教学资源的有效推送

智慧课堂教学环境中,教师与学生之间的活动、交流、学习依赖多媒体信息技术平台推送的相关资源,学生借助网络媒体平台学习所形成的有效及时的数据,对于教师的课中教学环节起着极为重要的作用。本文将从教师教学、学生学习的数据资源推送着手,构建电子书包支撑环境下个性化师生互动的高效课堂。     

大学生英语自主学习能力调查分析及其培养策略

自主学习一定不是自由散漫地学习,学习者本人应确定学习目标、掌握学习方法和学习战略。本文从学习英语的主观能动性的研究环境和理论知识入手;通过调查大学生英语自主学习的现实状态并分析了解从而总结出针对培养大学生英语自主学习能力的策略。