• Title, Summary, Keyword: Analytical knowledge

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An Exploratory Case Study on the Factors Affecting the Analytical Knowledge Creation in the Organization (조직 내 분석지 생성 영향 요인에 관한 탐색적 사례 연구)

  • Lee, JaeHwan;Kim, Young-Gul
    • Knowledge Management Research
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    • v.2 no.1
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    • pp.25-44
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    • 2001
  • There are two types of organizational knowledge in terms of its creation process: experiential and analytical knowledge. The experiential knowledge is created by repetitive experiences of an individual or team through task execution, while the analytical knowledge is acquired by analyzing accumulated data or information in the organization. The experiential knowledge often remains tacit or implicit in the organization because it is primarily acquired at an individual or team level. Therefore, the issue on the experiential knowledge is to share it actively within the organization. On the other hand, the analytical knowledge is explicit in its nature since it is extracted from data or information. Thus, it is important to guide a systematic creation of the analytical knowledge rather than encourage to share it. The current trend of "knowledge management" mainly focuses on the experiential knowledge - know-how, idea, case, etc - and neglects another important knowledge in the organization. i. e., analytical knowledge. This paper tries to shed a new light on the "knowledge management" arena by introducing rather new perspective in the concept of knowledge. The purpose of this study is to identify the factors affecting the analytical knowledge creation in the organization. We conducted an exploratory case study of three companies with a previously defined research framework and found some critical factors for the analytical knowledge creation. They are "organizational resource", "effectiveness of feedback process", "data source management", and "experimental mind set". Finally, we proposed research model and propositions regarding the analytical knowledge creation in the organization.

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A Case Study of OLAP and Data Mining on the Analytical Knowledge Creation in Organizations (OLAP과 데이터마이닝을 이용한 조직내 분석지 생성에 관한 사례연구)

  • Cho, Jae-Hee
    • Knowledge Management Research
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    • v.5 no.1
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    • pp.69-82
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    • 2004
  • Prior research on knowledge management focused more on the experiential knowledge based on individual's experience or knowhow than on the analytical knowledge extracted from corporate data. This study examines the effects of the data warehouse technology, especially OLAP(on line analytical processing) and data mining techniques, on the analytical knowledge creation in organizations, linking analytical knowledge creation to data analysis method through real world case studies.

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Vocabulary Education Plan Research through Foreign Learners' Korean Vocabulary Knowledge Assessment;Focusing on Assessment of Qualitative Knowledge (외국인 학습자의 한국어 어휘 지식 평가를 통한 어휘 교육 방안 연구 -질적 지식의 평가를 중심으로-)

  • Lee, Yoo Kyoung
    • Journal of Korean language education
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    • v.23 no.1
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    • pp.161-182
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    • 2012
  • The purpose of this study is to examine level of individual foreign learners' quantitative knowledge of korean vocabulary through the Foreign Learners' Korean Vocabulary Knowledge Assessment and to propose a vocabulary education plan reflecting the result. This assessment was written in focus of semantic relation to identify category, integrated and analytical knowledge of Korean verbs acquired by foreign learners and as a result, the following educational implications were made. First, the learners' knowledge about the vocabulary combinational relationship was very limited. Second, learners are not interested in vocabulary's synonymous relation and antonymous relations. Lastly, there needs to be a concern about postpositional particle-use education. The results of these kinds of research, observes the learners vocabulary acquisition process to determine Korean textbook and present vocabulary level in appropriate in terms of learners' perspective, and provide an opportunity to check if current professors' method is adequate and valid.

An Analysis of the Discipline of Mathematics Education in Secondary School Mathematics Teacher Certificate Examination (중등교사 임용시험 수학교과교육학 기출 문항 분석)

  • Jeon, Young Ju
    • Journal for History of Mathematics
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    • v.27 no.5
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    • pp.347-364
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    • 2014
  • This study aims at what is required knowledge and ability to pre-service math teachers in teacher certificate examination. First, the items are analyzed and among questions of discipline of mathematics education in the last five years are analyzed and classified. Second, an analytical framework suitable for item analysis is examined and the items are analysed by the analytical framework. Finally, helpful implications for discipline of mathematics education assessment can be drawn from this study. It is found that the discipline of mathematics education assessment has the following characteristics: 1) It assesses specific content of the assessment component; 2) It assesses a teacher's theoretical knowledge, practical knowledge and creative knowledge in terms of teaching ability; 3) There are six cognitive assessments; 4) There is an item for difficulty adjustment.

Knowledge-based synthesis system for injection molding (사출성형 제품의 지식형 설계시스템 연구)

  • 김상국
    • 제어로봇시스템학회:학술대회논문집
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    • pp.431-436
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    • 1986
  • The design and manufacture of injection molded polymeic parts with desired mechanical properties is a costly process dominated by empiricism, including the modification of actual tooling. This paper presents an interactive computer-based design system for injection molded plastic parts. This knowledge-based synthesis system provides a rational design strategy for injection molding and molded parts. It synergistically combines a rule-based expert system for hurestic knowledge with analytical process simulation programs. The theremomechanical properties of a molded part such as the effect of molecular orientation and weldline strength are predicted by the analysis programs; while the expert system interprets the analytical results from the process simulation, evaluates the design, and generates recommendations for optimal design alternatives. The heuristic knowledge of injection molding is formalized as production rules of the expert consultation system.

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Information Systems in Interdisciplinary Research: Analytic and Holistic Ways to Access Information Science Knowledge

  • Engerer, Volkmar P.
    • Journal of Information Science Theory and Practice
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    • v.7 no.2
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    • pp.6-22
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    • 2019
  • The paper explores how information science knowledge can be used systematically in digital, interdisciplinary research settings and gives a conceptual analysis of the relationship between information science knowledge as donor and other research as receiver in an interdisciplinary project environment. The validity of the approach is demonstrated by the author's work on the project "The Primacy of Tense: A. N. Prior Now and Then." The study proposes a hybrid approach, combining analysis and synthesis. The analytical component identifies information systems, assigns an information system type to them, and accesses the information science knowledge associated with that type. The synthetic part focuses on the connections between information systems according to the receiver discipline's practices. The paper makes explicit the actions of experienced information professionals, thereby making their expertise accessible to others. The analytical and synthetic strategies are explained by linking them to two modes of researchers in the receiver discipline, how they act as researchers and what they know about it. The paper offers information professionals concrete assistance with identification of the appropriate strategy for accessing professional knowledge and taking appropriate actions and development decisions.

Factors Affecting Customer Information/Knowledge Quality in Customer Relationship Management : Focused on Service Industry (고객관계관리(CRM)에서 고객정보/고객지식 품질에 영향을 미치는 요인 : 서비스 산업을 중심으로)

  • Jung, Hyun-Joo;Koh, Joon;Kim, Young-Gul
    • Korean Management Science Review
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    • v.19 no.2
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    • pp.1-23
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    • 2002
  • It has been considered as a means for sustaining a competitive advantage for companies to build and maintain long-term relationships with customers. It is without any doubt that many companies have tried to initiate Customer Relationship Management (CRM). For the effective management of customer relationships, it is critical that they acquire. share and use customer information and knowledge. In this paper, we deduced 9 important factors affecting the qualify of customer information and knowledge from the literature reviews on CRM, and developed the questionnaire to measure these factors. The factors are again categorized into organizational system, employees and IT. We analyzed data collected from 30 companies in service industries such as the finance. distribution and communication industries. The result of data analysis demonstrates that the employees' analytical shills and appraisal and reward systems are closely related to the quality of customer information, and analytical skills and IT support for communications with customers are associated with the quality of customer knowledge. implications of findings and future research directions are discussed.

Emerging Data Management Tools and Their Implications for Decision Support

  • Eorm, Sean B.;Novikova, Elena;Yoo, Sangjin
    • Journal of the Korea Industrial Information Systems Research
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    • v.2 no.2
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    • pp.189-207
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    • 1997
  • Recently, we have witnessed a host of emerging tools in the management support systems (MSS) area including the data warehouse/multidimensinal databases (MDDB), data mining, on-line analytical processing (OLAP), intelligent agents, World Wide Web(WWW) technologies, the Internet, and corporate intranets. These tools are reshaping MSS developments in organizations. This article reviews a set of emerging data management technologies in the knowledge discovery in databases(KDD) process and analyzes their implications for decision support. Furthermore, today's MSS are equipped with a plethora of AI techniques (artifical neural networks, and genetic algorithms, etc) fuzzy sets, modeling by example , geographical information system(GIS), logic modeling, and visual interactive modeling (VIM) , All these developments suggest that we are shifting the corporate decision making paradigm form information-driven decision making in the1980s to knowledge-driven decision making in the 1990s.

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An Analytical Framework for a Technological Innovation System: the Case of a Nuclear Power System

  • Lee, Tae Joon;Lee, Young-Joon
    • Asian Journal of Innovation and Policy
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    • v.7 no.2
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    • pp.235-286
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    • 2018
  • The aim of paper is to develop an alternative framework for the study of technological innovation systems. In contrast with conventional literature, this analytical framework is designed for entrepreneurs, i.e. actors, at the micro level rather than policy-makers at the meso or macro level. Herein, the entrepreneurial innovation system is conceptually refined by synthesizing knowledge regarding technological innovation and innovation systems. Drawing upon the intrinsic technological identity essential for innovation, the entrepreneurial innovation system is shown to involve three core changes in terms of technology, organization and market, and their couplings within its internal boundary over time. This analytical framework also takes into account the fact that the innovation system is influenced by and copes with the external environment during its evolution. Moreover, the framework of the entrepreneurial innovation system considers the recent trend of sustainable development. The technical and socio-economic characteristics of a nuclear powersystem are studied empirically to articulate an analytical framework that should be very useful for technological innovation in other energy systems by reflecting their unique features.

Process Chain-Based Information Systems Development and Agent-Based Microworld Simulation As Enablers of the Learning & Agile Organization (학습, 민활 조직 실현을 위한 프로세스 사슬 기반 정보시스템 개발과 에이전트 기반 소세계 시뮬레이션)

  • Park, Kwang-Ho
    • Asia pacific journal of information systems
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    • v.9 no.3
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    • pp.177-194
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    • 1999
  • Identifying knowledge as the single most important asset ultimately defining organizational competitiveness, enterprises are trying to move towards knowledge-oriented practices. Such practices have given rise to learning and agile organization, This paper presents applied information technologies to realize the learning and agile organization, focusing on systems thinking. Firstly, in order to establish a framework for the systems thinking, an information systems development method based on process chain is proposed. Then, an agent-based microworld simulation approach is presented. The approaches provide visible and analytical information to knowledge workers so that they can have systems thinking capabilities eventually. Various microworlds on the top of the information system can be constructed with agents and simulated for possible business events. All decision makings are dynamic in nature. To let knowledge workers look ahead the possible outcomes of the whole relevant processes is the core capability of the approaches. Through watching, the knowledge workers would be able to acquire new insights or problem solving knowledge for the problem in hand.

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