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Proceedings of the The 11th International Knowledge Management in Organizations Conference on The changing face of Knowledge Management Impacting Society最新文献

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Digital Co-Creation and Augmented Learning 数字共同创造和增强学习
A. Dengel
The momentum of the modern world increasingly requires a rapid and situational learning of new skills. Due to the growing information intensity, the trend towards shorter innovation cycles and the reduction of knowledge half-live time degrades the importance of factual knowledge. In order to enhance performance and productivity, computers are increasingly taking over the role of a learning partner supporting our individual handling of diverse information sources and exploring synergies between large communities. In such an evolutionary cyber-social environment, new potentials for co-creative systems are emerging, assisting users in understanding, learning, decision-making, and memorizing. This paper is a summary of my keynote I gave at KMO 2016. It discusses the various factors and presents examples of current research and development that will affect our way of learning in the near future. It is trying to give some answers to the following questions: What is expertise and what is the prerequisite for it? What factors influence the creation of competence today? How can technology be employed to act as associative memories for supporting knowledge work in cyber-social settings? How to support knowledge sharing? Can you measure and anticipate information needs? How to employ interactive learning aids for co-creation?
现代世界的发展势头越来越需要快速和情境化地学习新技能。随着信息强度的提高,创新周期的缩短和知识半衰期的缩短降低了事实性知识的重要性。为了提高性能和生产力,计算机越来越多地承担起学习伙伴的角色,支持我们个人处理各种信息源,并探索大型社区之间的协同作用。在这样一个进化的网络社会环境中,共同创造系统的新潜力正在出现,帮助用户理解、学习、决策和记忆。这篇论文是我在KMO 2016上的主题演讲的总结。它讨论了各种因素,并提出了在不久的将来影响我们学习方式的当前研究和发展的例子。它试图对以下问题给出一些答案:什么是专业知识,什么是专业知识的先决条件?今天哪些因素影响着能力的创造?在网络社会环境下,如何利用技术作为联想记忆来支持知识工作?如何支持知识共享?你能测量和预测信息需求吗?如何运用互动式学习辅助工具进行共同创作?
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引用次数: 6
Positive Knowledge Management: Changing Perceptions towards Knowledge Processes in Organizations 积极的知识管理:改变组织对知识过程的看法
J. Pawlowski
Why do so many Knowledge Management projects fail, why are knowledge management activities still perceived as cumbersome and time consuming? In this paper, the solution to overcome the barriers towards knowledge management. By using principles from Positive Psychology and Positive Computing, the concept of Positive Knowledge Management is elaborated. It shows how strategies, processes, measurements and technologies need to be changed. The key issue is to work towards employees' happiness and well-being. Knowledge-related activities need to be perceived positively to change peoples' attitude and emotions. The paper outlines what is necessary to create Positive Knowledge Management in organizations.
为什么这么多的知识管理项目失败了,为什么知识管理活动仍然被认为是繁琐和耗时的?本文提出了克服知识管理障碍的解决方案。运用积极心理学和积极计算的原理,阐述了积极知识管理的概念。它显示了需要如何改变战略、流程、度量和技术。关键问题是要为员工的幸福和福祉而努力。与知识相关的活动需要被积极地感知,以改变人们的态度和情绪。本文概述了在组织中创建积极知识管理的必要条件。
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引用次数: 1
Translating Process Mining Results into Intelligible Business Information 将流程挖掘结果转化为可理解的业务信息
P. Ceravolo, A. Azzini, E. Damiani, M. Lazoi, Manuela Marra, A. Corallo
Most business processes are today rooted into an information system recording operational events in log files. Process Mining algorithms exploit this information to discover and qualify differences between observed and modelled process. However, the output of these algorithms are not clearly connected with business properties. Our work faces these limitations by proposing an approach for calibrating Process Mining results based on the Business Rules adopted by an organisation. The general idea relates on applying Process Mining algorithms on subsequent refinements of the event log, filtering process executions based on Business Rules. This way we are able to associate these results with specific characterisations of the process, as entailed by the corresponding Business Rules. This approach is confronted to a real world scenario using data provided by an Italian manufacturing company.
今天,大多数业务流程都植根于在日志文件中记录操作事件的信息系统。过程挖掘算法利用这些信息来发现和限定观察过程和建模过程之间的差异。然而,这些算法的输出与业务属性没有明确的联系。通过提出一种基于组织采用的业务规则校准流程挖掘结果的方法,我们的工作面临着这些限制。其总体思想涉及将流程挖掘算法应用于事件日志的后续细化,基于业务规则过滤流程执行。通过这种方式,我们能够将这些结果与相应的业务规则所要求的流程的特定特征相关联。这种方法面对的是一个使用意大利制造公司提供的数据的真实场景。
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引用次数: 11
Open Educational Resources (OER) Mobilization and Intellectual Capital: a Case Study 开放教育资源(OER)动员与智力资本:个案研究
G. Elizondo, F. Carrillo
In knowledge-based societies, the use of information and communications technology is a key part of alphabetization and lifelong learning. In recent years global efforts to mobilize knowledge are lead by open educational resources (OER). The intellectual capital deriving from OER mobilization is mainly intangible due to its knowledge-based nature. Administrators and researchers have become increasingly interested in measuring the intellectual capital of organizations insofar it is an efficient way to identify sustainable competitive advantage. In this study, the Capitals System is used as an intellectual capital framework to evaluate the OER mobilization of Cátedra Alfonso Reyes (CAR), a university unit of Tecnologico de Monterrey. As a result, the intelligence and relational capital become the most important categories of intellectual capital linked to OER mobilization of CAR. This methodology for measuring knowledge mobilization is expected to be a useful reference for future research aiming at evaluating the impact of educational technologies, such as OER.
在知识型社会,资讯及通讯科技的使用是字母排序及终身学习的重要组成部分。近年来,全球动员知识的努力以开放教育资源(OER)为主导。OER动员所产生的智力资本由于其知识性而主要是无形的。管理人员和研究人员对衡量组织的智力资本越来越感兴趣,因为它是确定可持续竞争优势的有效方法。在本研究中,资本系统被用作智力资本框架来评估Cátedra Alfonso Reyes (CAR)的OER动员,这是蒙特雷理工大学的一个大学单位。因此,智力和关系资本成为与中非共和国OER动员相关的最重要的智力资本类别。这种测量知识动员的方法有望为未来旨在评估教育技术(如OER)影响的研究提供有用的参考。
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引用次数: 0
Knowledge Sharing Through E-Government Portal 透过电子政府入门网站分享知识
H. Dali, K. Shaalan
The advent of technology has changed the way of government to communicate with its stakeholders by incorporating the notion of e-government based on web-portal. These web-portals whereas identified successful in communicating with the stakeholders also played a vital role in sharing and managing knowledge. Based on this notion, this article is concerned with the role of e-government portal in sharing knowledge and the way through which this portal increases the efficiency of entire public sector. In the same instance, the K-ACT model of internet portal is analyzed to identify the features that make a web-portal best and perfect. In this article, we conducted a literature review and focused our attention on analyzing the e-government portals of four countries i.e. China, Hong Kong, Beijing and Turkish Municipalities. For the analysis and comparison purposes, the checklist of K-ACT model is used. The findings revealed that the e-government portal of these countries is not fully matched with the features as described in K-ACT, which ultimately affect the knowledge management and sharing practices in the region. Therefore, recommendations are made to improve the existing portal for knowledge sharing so that citizens can take more knowledge benefits from the e-government portals.
随着科技的发展,基于门户网站的电子政务概念的出现,改变了政府与利益相关者沟通的方式。这些门户网站虽然在与利益相关者沟通方面取得了成功,但在分享和管理知识方面也发挥了至关重要的作用。在此基础上,本文探讨了电子政务门户在知识共享中的作用,以及电子政务门户如何提高整个公共部门的效率。在同一实例中,对门户网站的K-ACT模型进行了分析,找出了使门户网站最优和最完善的特征。在本文中,我们进行了文献综述,重点分析了中国、香港、北京和土耳其四个国家的电子政务门户网站。为了分析和比较,我们使用了K-ACT模型的检查表。研究结果表明,这些国家的电子政务门户网站与K-ACT所描述的特征不完全匹配,这最终影响了该地区的知识管理和共享实践。因此,建议改进现有的知识共享门户,使公民能够从电子政务门户中获得更多的知识利益。
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引用次数: 2
Demonstration and Verification System Design for Data Processing 数据处理演示验证系统设计
Fan Yang, Z. Dong, Shucai Zhang
Data processing is required to extract meaningful results from huge and complicated data. Existing work normally use complicated equations to compute huge data, and use math software to analysis them. However, these methods are not intuitive to design operations, and hard to understand the analysis results, which is also not simple to manage the operation. This paper proposes a design of demonstration and verification system for data process, which provides visualization scenario design, visualization modeling, and executing operation and data analysis in both 2D and 3D ways. This paper also provides a system prototype design to show the presented system.
数据处理需要从庞大而复杂的数据中提取有意义的结果。现有的工作通常使用复杂的方程来计算庞大的数据,并使用数学软件对其进行分析。但这些方法设计操作不直观,分析结果难以理解,管理操作也不简单。本文提出了一种数据处理演示验证系统的设计,提供可视化场景设计、可视化建模、二维和三维两种方式执行操作和数据分析。本文还提供了一个系统原型设计来展示所提出的系统。
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引用次数: 0
The Originals of Knowledge-Based System Development Risks 基于知识的系统开发风险的根源
Houn-Gee Chen
Knowledge-based management systems (KMS) are valuable tools that enable executives to formulate and execute strategic decisions in their organizations. However, implementation of a KMS is complex and laden with several potential risks. Using a framework of the socio-technical model, we conduct a case study to track risks in a KMS. Guided by the depth of task-technology task theory and the principles of consonance, we present expectations and early results regarding the risks that derive from mismatches among the various dimensions. In order to asses and better understand the risk associated with implementing a KMS, interviews were conducted with the employees of the NTA (National Tax Administration), FDC (Financial Data Center), and CHT (Chunghwa Telecom). The interviews centered on the detailed experiences of the participants implementing and working with KMS projects at their respective companies. Analysis of the interviews considered the socio-technical model and confirmed an ability to designate risks to both the project and the product of development through dimensions of task, actor, structure and technology as well as the fit between each combination.
基于知识的管理系统(KMS)是一种有价值的工具,它使管理者能够在组织中制定和执行战略决策。然而,KMS的实现是复杂的,并且充满了几个潜在的风险。使用社会技术模型框架,我们进行了案例研究,以跟踪KMS中的风险。在任务-技术任务理论和协调原则的深度指导下,我们提出了关于各个维度之间不匹配所产生的风险的期望和早期结果。为了评估和更好地了解与实施KMS相关的风险,对NTA(国家税务总局)、FDC(金融数据中心)和CHT(中华电信)的员工进行了访谈。访谈集中于参与者在各自公司实施和使用KMS项目的详细经历。对访谈的分析考虑了社会技术模型,并确认了通过任务、参与者、结构和技术的维度以及每个组合之间的匹配来指定项目和开发产品风险的能力。
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引用次数: 1
The Perceived Values of Service Industry Innovation Research Subsidiary in Taiwan 台湾服务业创新研究机构之感知价值
Y. Tao, L. Uden
Service Industry Innovation Research (SIIR) is the only governmental subsidiary for service-oriented small and medium enterprises (SMEs) to apply for funding in Taiwan. Since different voices exist regarding the objectives of SIIR and related governmental funding projects like small business innovation research (SBIR), it is important to understand the true intangible SIIR value beyond the tangible key performance indexes from the awarded SMEs, which should be very different from the traditional personal or corporate value systems in the Literature. Based on the interview data of 55 SIIR awarded SMEs, 11 value categories were identified, which implies competitiveness, growth, brand image, operational excellence, and recognition in addition to subsidiary. This research result should provide an incremental knowledge for the governmental funding agencies to reposition and promote as well as for the SMEs to know how to look at the governmental subsidiary projects, such as SIIR or SBIR that is popularly adopted in many countries.
服务业创新研究中心(SIIR)是台湾唯一为服务型中小企业(SMEs)申请资助的政府附属机构。由于对于SIIR的目标和相关的政府资助项目(如小企业创新研究(SBIR))存在不同的声音,因此了解来自获奖中小企业的有形关键绩效指标之外的真正无形的SIIR价值是很重要的,它应该与文献中传统的个人或企业价值体系有很大的不同。根据55家SIIR中小企业的访谈数据,确定了11个价值类别,包括竞争力,成长性,品牌形象,卓越运营和知名度。这一研究结果应该为政府资助机构重新定位和促进提供增量知识,并为中小企业知道如何看待政府的附属项目,如在许多国家普遍采用的SIIR或SBIR。
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引用次数: 1
Exploring data by PCA and k-means for IEEE Xplore digital library 基于PCA和k-means的IEEE explore数字图书馆数据挖掘
J. Anzola, Luz Andrea Rodríguez Rojas, G. T. Bermúdez
An important feature in data analysis is the exploration and data representation. This article describes the Principal Components Analysis techniques (PCA) and clusters analysis with k-means, in order to represent a set of two-dimensional spatial data and group similar data to find relationships between the two techniques. Data is extracted from IEEE Xplore digital library, which lacks processing tools and information display since it doesn't permit analysis and identification of trends and patterns in a query. At the end of the article, is discussed as a technique of data analysis unsupervised allows grouping and organizing of data by proximity based on the variance, finding similar keywords between groups and major components, allowing temporary and evolutionary view of a set of keywords, which can later be interpreted as topics and areas of exploration and research.
数据分析的一个重要特征是数据挖掘和数据表示。本文介绍了主成分分析技术(PCA)和k-means聚类分析,以表示一组二维空间数据,并对相似的数据进行分组,以发现两种技术之间的关系。数据是从IEEE Xplore数字图书馆中提取的,它缺乏处理工具和信息显示,因为它不允许分析和识别查询中的趋势和模式。在文章的最后,讨论了作为一种数据分析技术的无监督允许分组和组织基于方差的接近数据,在组和主要组件之间找到相似的关键字,允许一组关键字的临时和进化视图,这些关键字可以稍后被解释为主题和探索和研究领域。
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引用次数: 1
Knowledge Transfer in Internships from a students' perspective 从学生的角度看实习中的知识转移
R. Bernsteiner, Stephan Schlögl
The importance of internships has grown during the last decade. Internships have a lot of benefits for both, the company and the intern as well. In order to get most out of an internship, it is important that knowledge, which is related to the job assignments, is efficiently transferred to the interns. The purpose of this study is to explore the processes of knowledge transfer to the interns based on Nonoka and Takeuchi's knowledge creation model with a focus on tacit to explicit knowledge transfer. The transfer of the required knowledge is twofold: firstly, interns must have access to already existing documents (rather explicit knowledge). Secondly, interns acquire knowledge through permanent transfer of knowledge from those who are highly experienced, like principals or workmates (rather tacit knowledge). This study used a qualitative approach to collect and analyze empirical data whereas two sources were used. In a first phase of the empirical survey a diary study with nine participants was carried out. In a following second phase semi-structured interviews with another 20 participants were conducted. The study represents the perspective of business informatics students who have to complete an internship as part of their studies. Participants state that the best experience of their internship is based on a combination of personal support, self-reliant working and the opportunity to have access to content or knowledge management systems. An intensive training phase conducted by co-workers or previous interns is perceived positively in gaining relevant knowledge for their internship. From a qualitative perspective the support of people was ranked on the first place. The technological aspects such as knowledge management tools actively support the process of knowledge sharing.
在过去的十年里,实习的重要性与日俱增。实习对公司和实习生都有很多好处。为了从实习中获得最大的收获,与工作任务相关的知识有效地传授给实习生是很重要的。本研究的目的是基于Nonoka和Takeuchi的知识创造模型,探讨实习生的知识转移过程,重点关注隐性到显性的知识转移。所需知识的转移有两个方面:首先,实习生必须能够接触到已有的文件(相当明确的知识)。其次,实习生通过从经验丰富的人(如校长或同事)那里不断地转移知识来获取知识(而非隐性知识)。本研究采用定性方法收集和分析实证数据,而使用了两个来源。在实证调查的第一阶段,对九名参与者进行了日记研究。在接下来的第二阶段,对另外20名参与者进行了半结构化访谈。这项研究代表了商业信息学学生的观点,他们必须完成实习作为学习的一部分。参与者表示,他们最好的实习经历是基于个人支持、自力更生的工作以及访问内容或知识管理系统的机会。由同事或以前的实习生进行的强化培训阶段被认为对获得实习所需的相关知识是积极的。从定性的角度来看,人民的支持排在第一位。知识管理工具等技术方面积极支持知识共享的过程。
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引用次数: 0
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Proceedings of the The 11th International Knowledge Management in Organizations Conference on The changing face of Knowledge Management Impacting Society
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