A Critical Study on the Characteristics of Knowledge Workers

김주석 학습자중심교과교육학회 2023 학습자중심교과교육연구 Vol.23 No.22

Objectives The supply-demand model in the labor market of the existing industrial society has limitations for sustainable human resource utilization. This is because the labor market has changed due to the advent of the knowledge economy society. Therefore, this study intends to carry out a critical examination of the characteristics of human resources in the knowledge society. Methods The economic paradigm and corporate labor environment of the existing industrial society and the knowledge-based economy were compared and analyzed. The overall characteristics and limitations of knowledge workers was discussed. Therefore, the issues of knowledge workers were analyzed in terms of productivity, motivation, and performance management, and the characteristics of general workers and knowledge workers were derived to raise issues about knowledge workers in terms of productivity and motivation. Results The characteristics of knowledge workers in the knowledge-based economy show that they are motivated through work achievement through the use of knowledge and challenging work performance rather than existing monetary and time compensation. If the company does not satisfy the motivation of knowledge workers, knowledge workers choose to change jobs more easily than existing workers. Conclusions In conclusion, these knowledge workers show that non-monetary compensation is important in addition to various existing incentives and monetary compensation. Therefore, non-monetary compensation requires maximizing knowledge creation, transfer, and utilization within the organization. In addition, it can be suggested as an implication that efforts to promote self-realization and motivation of knowledge workers are included through the development of companies into learning-oriented organizations.

긍정감정과 부정감정이 개인의 지식기여 및 활용 의도에 미치는 영향에 관한 실증연구

전현규 ( Hyun Kyu Jun ),이건창 ( Kun Chang Lee ) 한국지식경영학회 2015 지식경영연구 Vol.16 No.1

A bunch of management studies have repeatedly revealed that the extent of knowledge sharing across organization contributes significantly to the firm’s sustainable competitiveness. However, in reality, it is a hard fact that we must admit that many individuals working in competitive situations always feel reluctant to share knowledge. Especially, positive and negative emotions play an important role in changing individual’s intentions about knowledge sharing and knowledge utilization as well. Intention about knowledge sharing is usually hindered by in-group rivalries. Also employees feel negative in sharing their knowledge with colleagues when they expect to receive little support and recognition in return after doing that. These considerations point out the importance of individual’s knowledge sharing and the role of knowledge management in order to assure competitiveness. Considering these facts, the main purpose of this study is to investigate why people is willing or unwilling to share their knowledge with others and utilize the knowledge in the competitive context where potential rivalry is still expected. In answering these research issues, we analyzed 258 valid questionnaires garnered from online community where a number of people has been actively interacting with registered members to share crucial knowledge about sensitive issues. Results revealed that the proposed research issues are adequately solved with significant statistical results.

The Methodology for Development of Enterprise Knowledge Management Systems

Park, Cheol-Soo 한라대학교 2007 論文集 Vol.10 No.-

In the new century's business, knowledge is a key factor and the business is driven by the knowledge. As the basis of value creation increasingly depends on the leverage of the intangible assets of firms, knowledge management systems (KMS) are emerging as powerful sources of competitive advantage. The knowledge process is also important to re-engineering the business process and knowledge management must be embedded in the process of knowledge workers' everyday practices. This paper introduces the definition of knowledge, knowledge management and the development methodology of enterprise KMS. In the section, the definition of these terminologies is introduced and related issues such as knowledge creation, knowledge transfer, representation and quality are briefly discussed. In the second section, the paper shows about how the management of knowledge in business processes be organized and supported. Finally, one business case, ERNST&YOUNG, is introduces about its' KMS.

Knowledge- Evolutionary Intelligent Machine-Tools - Part 1 : Design of Dialogue Agent based on Standard Platform

Kim, Dong-Hoon,Song, Jun-Yeob The Korean Society of Mechanical Engineers 2006 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.20 No.11

In FMS (Flexible Manufacturing System) and CIM (Computer Integrated Manufacturing), machine-tools have been the target of integration in the last three decades. The conventional concept of integration is being changed into the autonomous manufacturing device based on the knowledge evolution by applying advanced information technology in which an open architecture controller, high-speed network and internet technology are included. In the advanced environment, the machine-tools is not the target of integration anymore, but has been the key subject of cooperation. In the near future, machine-tools will be more improved in the form of a knowledge-evolutionary intelligent device. The final goal of this study is to develop an intelligent machine having knowledge-evolution capability and a management system based on internet operability. The knowledge-evolutionary intelligent machine-tools is expected to gather knowledge autonomically, by producing knowledge, understanding knowledge, reasoning knowledge, making a new decision, dialoguing with other machines, etc. The concept of the knowledge-evolutionary intelligent machine is originated from the machine control being operated by human experts' sense, dialogue and decision. The structure of knowledge evolution in M2M (Machine to Machine) and the scheme for a dialogue agent among agent-based modules such as a sensory agent, a dialogue agent and an expert system (decision support agent) are presented in this paper, with intent to develop the knowledge-evolutionary machine-tools. The dialogue agent functions as an interface for inter-machine cooperation. To design the dialogue agent module in an M2M environment, FIPA (Foundation of Intelligent Physical Agent) standard platform and the ping agent based on FIPA are analyzed in this study. In addition, the dialogue agent is designed and applied to recommend cutting conditions and thermal error compensation in a tapping machine. The knowledge-evolutionary machine-tools are expected easily implemented on the basis of this study and shows a good assistance to sensory and decision support agents.

Game Analysis on the Lower Bound of Optimal Interval of Knowledge Heterogeneity in Virtual Practice Community

Liu Jing,MaYanyang,GuoYanli,Chen Jianbin 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.12

Knowledge Heterogeneity is the source of Knowledge Collaboration in Enterprise while the Virtual Practice Community constructed with Web 2.0 technology is a very important way to gain heterogeneous knowledge. Active Cross-border Innovation makes the virtual practice community to be heterogeneous knowledge preference nowadays. However, the appropriate degree of knowledge heterogeneity that can excite the community to be synergy equilibrium is difficult to seek. This paper studies on the signaling game analysis of knowledge heterogeneity in Virtual Practice Community based on two-period reputation model. We mainly analyze the lower bound of optimal interval of knowledge heterogeneity to reveal the management meaning of this optimal interval.

Management of Basic Scientific Research Achievements Based on Knowledge Supernetwork

Wei Sun,Chunhui Huo,Yang Yu 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.11

Basic scientific research achievements management involves multiple knowledge resources. We propose a knowledge supernetwork model to integrate multiple knowledge resources. First, person network, material carrier network, and knowledge element network are established. Subsequently, the knowledge supernetwork is constructed to integrate the above three networks. Second, the characteristics of knowledge supernetwork are investigated from the perspective of the quantitative analysis. Based on the knowledge supernetwork, some methods for solving real problems are developed. Finally, we construct a knowledge supernetwork model using real basic scientific research achievement files. The methods of knowledge representation, basic scientific research proposal grouping, and knowledge classification are proposed to illustrate how to manage basic scientific research achievement from the perspective of knowledge.

Knowledge Extractions, Visualizations, and Inference from the big Data in Healthcare and Medical

김진성 한국지능시스템학회 2013 한국지능시스템학회논문지 Vol.23 No.5

The purpose of this study is to develop a composite platform for knowledge extractions, visualizations, and inference. Generally, the big data sets were frequently used in the healthcare and medical area. To help the knowledge managers/users working in the field, this study is focused on knowledge management (KM) based onData Mining (DM), Knowledge Distribution Map (KDM), Decision Tree (DT), RDBMS,and SQL-inference. The proposed mechanism is composed of five key processes. Firstly, in Knowledge Parsing, it extractslogical rules from a big data set by using DM technology. Then it transforms the rules into RDB tables. Secondly, through Knowledge Maintenance, it refinesand manages the knowledge to be ready for the computing of knowledge distributions. Thirdly, in Knowledge Distribution process, we can see the knowledge distributions by using theDT mechanism.Fourthly, in Knowledge Hierarchy, the platform shows the hierarchy of the knowledge. Finally, inInference, it deduce the conclusions by using the given facts and data.This approach presents the advantages of diversity in knowledge representations and inference to improve the quality of computer-based medical diagnosis.

지리교육과정에서 '내용'으로서 '지식'에 대한 논의

서태열 한국지리환경교육학회 2002 한국지리환경교육학회지 Vol.10 No.1

최근 교육환경의 변화로 인하여 지리교육과정을 여러 가지 구성요소들에 의해 유기적으로 작동하는 하나의 체계로 보는 관점이 요구되고 있고, 개별 구성요소의 변화양상과 그 본질적 성격에 대한 고찰이 필요하다. 또한 지리교육 및 지리교육과정의‘내용’에 대한 비판적 검토와 내용의 핵심적 요소인 ‘지식’의 본질과 성격에 대한 보다 깊이있는 성찰이 필요하다. 지리교육에서 가르치고자 하는 지식은 명제적 지리지식과, 지리적 실행 및 절차와 관련되는 수행적지식이라고 볼 수 있는 방법적 지리지식으로 나누어 볼 수 있으며, 학문적 지혜와 사고방식을 실생활에 활용하기 위해서는 방법적 지식에 주목해야 한다. 또한 개인적 지식의 확장성과 구체성에 초점을 두는 개인적 지식 내지 암묵적 지식도 중요한 관심사가 되고 있다. 지리교육내용으로서 방법적 지식과 암묵적 지식에 주목함으로써 지식기반사회에서 새롭게 재정립되고 있는 교육 내용으로서 연계망적 지식, 문제해결능력과 같은 지식과 능력을 획득할 가능성은 높아질 것이다. 이와 같은 지식의 본질, 성격, 형태에 대해 성찰을 통하여 지리적 사고와 탐구가 의미있게 지리교육에 반영될 수 있고, 지리교육은 교육적 의미를 더하게 된다. Recent changes in educational environments demands systematic perspectives on geography curriculum as a operative system with several interacting components. And more deep speculation into the nature and forms of knowledge as key content in geography education and geography curriculum is needed. Geographical knowledge in education can be divided into declarative geographical knowledge and procedural geographical knowledge which includes practice, procedure and performance in geography. As attentions must be paid to procedural knowledge to utilize academic wisdom and thinking ways in geography, as to personal and tacit knowledge to expand knowledge and to gain concrete knowledge. Considering the procedural knowledge and personal knowledge as important components in contents in geographical education, the possibility to achieve networking knowledge and problem solving ability will be getting high. Through this recognition, geographical education will be more educational, and geographical thinking and geographical inquiry will be interwoven meaningfully together.

Knowledge-Evolutionary Intelligent Machine-Tools

Dong-Hoon Kim,Jun-Yeob Song 대한기계학회 2006 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.20 No.11

In FMS (Flexible Manufacturing System) and CIM (Computer Integrated Manufacturing), machine-tools have been the target of integration in the last three decades. The conventional concept of integration is being changed into the autonomous manufacturing device based on the knowledge evolution by applying advanced information technology in which an open architecture controller, high-speed network and internet technology are included. In the advanced environment, the machine-tools is not the target of integration anymore, but has been the key subject of cooperation. In the near future, machine-tools will be more improved in the form of a knowledge-evolutionary intelligent device. The final goal of this study is to develop an intelligent machine having knowledge-evolution capability and a management system based on internet operability. The knowledge-evolutionary intelligent machine-tools is expected to gather knowledge autonomically, by producing knowledge, understanding knowledge, reasoning knowledge, making a new decision, dialoguing with other machines, etc. The concept of the knowledge-evolutionary intelligent machine is originated from the machine control being operated by human experts’ sense, dialogue and decision. The structure of knowledge evolution in M2M (Machine to Machine) and the scheme for a dialogue agent among agent-based modules such as a sensory agent, a dialogue agent and an expert system (decision support agent) are presented in this paper, with intent to develop the knowledge-evolutionary machine-tools. The dialogue agent functions as an interface for inter-machine cooperation. To design the dialogue agent module in an M2M environment, FIPA (Foundation of Intelligent Physical Agent) standard platform and the ping agent based on FIPA are analyzed in this study. In addition, the dialogue agent is designed and applied to recommend cutting conditions and thermal error compensation in a tapping machine. The knowledge-evolutionary machine-tools are expected easily implemented on the basis of this study and shows a good assistance to sensory and decision support agents.

미술교육에서의 지식과 이해교육

박상돈 한국조형교육학회 2024 造形敎育 Vol.- No.90

본고에서는 우리 미술교육에서의 지식과 이해교육의 맥락과 내용을 파악해 보고자 하였다. 지식은 다양한 대상과 현상, 사건 등에 대한 경험을 바탕으로 한 인간의 명확한 의식이며, 이해는 이 같은 지식을 유연하게 생각하고 수행하는 능력으로 정의된다. 지식교육은 지식의 의미를 구체적으로 습득하게 하는 것이며, 이해교육은 패턴화된 지식의 내용과 의미에서의 연관성에서 일반화와 원리를 파악하는 데 초점을 맞춘다. 우리 미술교육에서의 지식과 이해교육은 서구 미술교육의 변화와 여러학문의 발달, 교육과정 체계의 변화와 제안들 속에서 그 관점과 내용을 형성하고 변화해 왔다. 그리고 이렇게 제시된 여러 내용들은 오랜 기간 동안의 우리 미술교육학자들의 학문적 탐구의 결과이며, 미술교육에 적용할 수 있도록 제시된 지식의 구조이자 핵심 내용이다. 특히 교육과정에 제시된 각 영역별, 범주별 내용 요소는 미술과 학습을 통해서 학습자가 명확히 알아야 하는 지식이나 개념, 이해를 위한 필수 학습 요소라 할 수 있는데, 이는 각 영역에서의 지식과 이해교육을 위한 전제가 된다. 오늘날 미술교육에서 지식과 이해교육은 학습자에게 새로운 정보와 경험을 제공하고, 미술 교과의 정체성 확립과 교과 목표 달성을 위해 더욱 적극적으로 요구되고 있다. 우리 미술교육에서는 사회와 학습자가 필요로 하는 새로운 지식을 구성하기 위해 노력해야 하며, 이를 학습자의 심화된 이해로 연계하기 위한 교육 방안에 대해 끊임없이 탐구해야 할 것이다. This research has tried to identify the context and content of teaching knowledge and understanding in art education. Knowledge is defined as human's clear consciousness based on experience about various objects, phenomena, events, etc. and understanding is defined as the ability to think and perform such knowledge flexibly. Teaching knowledge is to acquire the meaning of knowledge specifically, while teaching understanding focuses on grasping generalizations and principles from the connection between the content and meaning of patterned knowledge. Teaching knowledge and understanding in art education has been shaped and changed in its perspective and content by the changes in western art education, the development of various disciplines, and the changes and proposals in the curriculum system. The various contents presented here are the result of the academic exploration of art educators over a long period of time, and are the structure and core content of the knowledge presented for application in art education. In particular, the content elements of each area and category presented in the curriculum can be said to be essential learning elements for knowledge, concepts, and understandings that learners should clearly know through art and learning, which are the prerequisites for teaching knowledge and understanding in each area. Today, teaching knowledge and understanding is actively required in art education to provide learners with new information and experiences, to establish the identity of the art department and to fulfill the curriculum goals. In art education, we should strive to construct new knowledge that society and learners need, and we should constantly explore teaching methods to connect it to learners' deepened understanding.