• Title/Summary/Keyword: Business Knowledge

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A Knowledge-Based Technical Support System for ECRC

  • Shin, J.K.;Hwang, J.W.
    • Proceedings of the CALSEC Conference
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    • 1998.10a
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    • pp.129-140
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    • 1998
  • ㆍ ECRC ㆍ Knowledge Management ㆍ KM technologies ㆍ KBTS System -Mistakes KMS -Discussion KMS -Distinguished Features(omitted)

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The Effect of the Attributes of Corporate Knowledge on Knowledge Management and Management Performance in Organizations (기업 지식의 특성이 조직 내 지식관리와 경영성과에 미치는 영향)

  • lee, Won-hee
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2019.01a
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    • pp.179-180
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    • 2019
  • 본 연구는 우리나라 기업의 프로젝트조직 중심으로 기업조직이 보유한 조직지식의 특성이 조직 내 지식이전 및 활용과 경영 성과에 어떠한 영향을 주는지를 알아보고자 하는 실증연구이다. 이를 위해 본 연구에서는 구조방정식을 이용하여 국내기업들의 기업 지식 특성의 내부요인들이 지식의 이전, 활용과 경영성과에 어떠한 유의한 영향을 미치는지 실증분석을 통하여 알아보고자 한다.

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FORE: A Form-Driven Object-Oriented Reverse Engineering Methodology (업무 양식에 근거한 객체 지향 역공학 방법론)

  • Yoo, Cheon-Soo;Lee, Hee-Seok
    • Asia pacific journal of information systems
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    • v.9 no.1
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    • pp.115-142
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    • 1999
  • Legacy applications are valuable assets that should be integrated into next generation business systems. To gain this advantage, progressive companies can reverse engineer the legacy business operations. This paper presents a form-driven object-oriented reverse engineering(FORE) methodology by the use of business forms to recover semantics of legacy applications. They retain the user-oriented contents of business and thus are easily understandable. Our form driven object-oriented reverse engineering methodology consists of five phases: form and usage analysis, form object slicing, object structure modeling, scenario design, and model integration. Knowledge about form structure and user interaction with legacy applications is used to capture the design semantics. An object model, which consists of an object structure model and scenario results from such form knowledge. The resulting object model is more likely to help reverse engineers understand and reuse legacy systems.

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Special Topic: The Impact of ChatGPT in Society, Business, and Academia

  • Kyoung Jun Lee;Taeho Hong;Hyunchul Ahn;Taekyung Kim;Chulmo Koo
    • Asia pacific journal of information systems
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    • v.33 no.4
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    • pp.957-976
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    • 2023
  • ChatGPT has had a significant impact on society, business, and academia by influencing individuals and organizations through knowledge generation and supporting users in locating conversational inquiries and answers. It can transform how people seek answers by combining human-like conversational skills with AI. By eradicating the cumbersome process of selecting from multiple options, users can conduct preliminary research or create optimized solutions. The purpose of this research is to investigate how consumers use ChatGPT and digital transformation, specifically in terms of knowledge development, searching and recommending, and optimizing accessible possibilities. Using many linked theories, we address the potential implications and insights that can be gained from ChatGPT's early stages and its integration with other applications such as robotics, service automation, and the metaverse. Finally, the application of ChatGPT has practical, theoretical, and phenomenological impacts, in addition to improving users' experiences.

A Nexus among Strategic Orientation, Social Network, Knowledge Sharing, Organizational Innovation, and MSMEs Performance

  • MUAFI, Muafi
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.6
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    • pp.327-338
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    • 2020
  • This study wants to test the nexus among resource orientation, market orientation, social network, and knowledge sharing toward organizational innovation, and the nexus between organizational innovation and MSMEs performance. Questionnaires and interviews are conducted with some MSMEs actors in Central Java Province, Indonesia, in Klaten Regency and Pekalongan City. These two areas have creative MSMEs, especially Batik MSMEs that have been very large and known worldwide. The sampling technique is done purposively with certain criteria for the respondents. The data analysis technique is done using Partial Least Square. This study provides recommendations about strategic practice and policy (resource and market), social network, and knowledge sharing in increasing organizational innovation, and the impact of organizational innovation toward MSMEs performance. It also offers a comprehensive model of the determinant factor of organizational innovation by considering the aspect of strategic orientation, social network, and knowledge sharing. Other unique aspects that are also important to consider are social network and the importance of knowledge sharing in improving MSMEs Performance. The respondents are still limited in two areas, namely, Pekalongan and Klaten, so it still cannot represent the whole population. These areas also have different orientation of production process approach, namely, synthetic and natural dyes.

The Moderating Effect of Media Synchronicity in the Communication Media Use and Knowledge Creation

  • Ryoo, Sung-Yul;Koo, Chul-Mo
    • Asia pacific journal of information systems
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    • v.20 no.2
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    • pp.103-124
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    • 2010
  • Social communications using information and communication technologies (ICT) for social interactions have been making a significant impact on task performance in organizations. However, most of the existing studies on ICT (e.g., telephone and email) have only focused on technical improvement of communication efficiencies (e.g., information exchange and storage). In this paper, we claim that ICT may be another alternative source of knowledge creation that enables employees to work, find solutions, and achieve their goals faster and better. We investigate the impact of ICT in terms of both tasks and social aspects with knowledge creation as task performance. Also, we investigate the moderating effect of media synchronicity on these relationships. This study contributes to the understanding of contemporary communications media usage and its performance in organizations. We collected and analyzed survey data of 248 company employees, using PLS. The results indicate that task urgency and social influence directly affect ICT usage, and even knowledge creation. Also the media synchronicity moderates the relationship between the characteristics of a given task and ICT usage and the relationship between ICT usage and knowledge creation. Theoretical and practical implications of these findings are also discussed in the paper.

A Study on Creative Fashion Design by Visualization of Knowledge -Focusing on Gucci Collection by ATTA Evaluation Items- (지식의 시각화에 의한 창의적 패션디자인 연구 -ATTA 평가항목에 의한 구찌컬렉션을 중심으로-)

  • Kim, Minji
    • Journal of Fashion Business
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    • v.21 no.4
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    • pp.90-104
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    • 2017
  • In a rapidly changing fashion design world, creative ideas are always required. Knowledge has been created as an art, exhibiting a new imagination that surpasses reality, while being visualized from the past. The purpose of this study is to derive types of visualization of knowledge for continuous creation of fashion design. The study consists of literature and empirical studies. ATTA, a creativity evaluation method made by Torrance applied for analyzing of Gucci fashion design collections from 2016-2017. Creativity of the Gucci collection by ATTA evaluation items are that first, a vivid idea was revealed through collection history, myths and animal and plants, second, conceptual incongruity is in the composition of the garment, third, provocative questions are the symbolism of the meaning of the text, fourth, different perspectives derive a new formative beauty through the synthesis of twisted elements, fifth, abstraction is a symbolic expression of animals and plants, sixth, synthesis is a mixture of various materials and techniques by plural inspiration, seventh, context, it is developed as a design accompanied by stories of history and myth and eighth, fantasy is fictitious animals and animals and detail. In addition, formativeness of fashion design by visualization of this knowledge was extracted with contamination, symbolism, enjoyment and fabrication. Visualization of the knowledge is expected to be used as a strategy to attract ongoing ideas for creative fashion designs.

Development of a Semantic Web Portal for Industry Knowledge Sharing (산업지식의 공유를 위한 시맨틱 웹 포탈의 설계 및 구축)

  • Park, Sang-Un
    • The Journal of Society for e-Business Studies
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    • v.14 no.4
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    • pp.195-214
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    • 2009
  • Semantic web portal is expected to overcome the shortcomings of the current web portals through advanced semantic web technologies and to be an effective and efficient method of knowledge sharing. In order to contribute to the knowledge sharing, semantic web portal needs to construct and integrate ontologies of each organization. Also, it needs to support search and navigation of inter-related knowledge. In this paper, we will design a semantic web portal that satisfies such requirements in the domain of display industry, and construct an ontology which links various knowledge of different fields. Moreover, we want to suggest an effective and automatic search/navigation method that supports customers who do not know the details of an ontology to easily get the desired results.

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A Comparative Case Study on Success Factors Affecting the Renewal and Establishment of Customer Service Information Systems for a Customer Center (고객서비스 정보시스템 재구축과 신규구축 성공에 영향을 미치는 요인에 관한 비교사례연구)

  • Hong, Byung Sun;Koh, Joon
    • Knowledge Management Research
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    • v.20 no.3
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    • pp.17-38
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    • 2019
  • Rrecently, companies have made great efforts to satisfy various needs and heightened expectations of customers, and the importance of customer center as customer contact department for customer relationship management is increasing. In the knowledge ecosystem, corporate customer centers are emerging as a new alternative to acquiring corporate competitiveness by increasing sales and increasing market share by improving marketing support activities and customer relationship management at customer contact points. As a result, the interest in the customer center has increased rapidly because it provides the opportunity to contact with the customer. In addition, in the era of the fourth industrial revolution, the customer center, which is a collection of information and communication technologies, has a big databased voice recognition technology to elaborate customer service, thereby enhancing customer satisfaction and contributing to marketing through continuous interaction with customers. Of course, we have the opportunity to transform into the frontline business intelligence front for customer knowledge. This study is a comparative case study on how the customer center of K Life Insurance that takes the lead in the customer center industry has successfully renewed and established their key information systems to improve customer services and reinforce marketing support competencies. Based on the above, this study will present factors affecting successful implementation and settlement of the customer service information systems of customer centers by independently analyzing two individual cases.

A knowledge Conversion Tool for Expert Systems

  • Kim, Jin-S.
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.11 no.1
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    • pp.1-7
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    • 2011
  • Most of expert systems use the text-oriented knowledge bases. However, knowledge management using the knowledge bases is considered as a huge burden to the knowledge workers because it includes some troublesome works. It includes chasing and/or checking activities on Consistency, Redundancy, Circulation, and Refinement of the knowledge. In those cases, we consider that they could reduce the burdens by using relational database management systems-based knowledge management infrastructure and convert the knowledge into one of easy forms human can understand. Furthermore they could concentrate on the knowledge itself with the support of the systems. To meet the expectations, in this study, we have tried to develop a general-purposed knowledge conversion tool for expert systems. Especially, this study is focused on the knowledge conversions among text-oriented knowledge base, relational database knowledge base, and decision tree.