• Journal of the Korean Society for Library and Information Science
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• v.37 no.2
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• pp.343-364
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• 2003

The importance of Knowledge Management (KM) can be easily recognized in many diverse aspects of the theory studies and in KM's efforts to help implement the government's policy to innovate corporation management. The core of KM is to improve the circulation of knowledge by generation, accumulation, sharing, utilization and acquisition by learning. The improvement of knowledge circulation would result in high quality and quantity of intellectual assets in corporations and make decision-making more efficient. This, too, is the operational philosophy of the special libraries. The primary objective of this study is to promote KM by presenting KM methodology and by explaining a theoretical background and cases, based on the existing special libraries. I cite an example of a case wherein merging intellectual assets and human resources activated the company culture. The reference service system, which is the core of the special library, was used in this merging.

• Journal of the Korean Society for Precision Engineering
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• v.17 no.1
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• pp.11-20
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• 2000

본 글은 1999년 5월 CASA/SME Blue Book에 Jim Jordan 그리고 Fred Michel이 “Next Generation Manufacturing”라는 제목으로 게재한 자료를 편자의 의도에 따라 재편집한 것입니다. CASA(Computer and Automated Systems Association)는 SME(Society of Manufacturing Engineers)에서 활동하고 있는 하나의 분과로서 CIM Enterprise Wheel을 만들어 내 유명한 곳이기도 합니다. 저자는 본 글에서 앞으로 10여년 간 펼쳐질 차세대 제조 시스템에서는 지식경영이 가장 중요한 요소라고 정의하고 있습니다. 그리고 차세대 제조 시스템의 운영전략으로는 기업통합, 인간자원의 지적이용, 지식의 개발 및 유지, NGM 프로세스 장비 및 기술의 채용을 들고 있습니다.

• The Journal of Economics, Marketing and Management
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• v.11 no.4
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• pp.41-52
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• 2023

Purpose: The study examines the effect of TechTubers' unboxing videos on consumer buying behavior by highlighting the role of product touch, visual and verbal sensory cues. The study integrates the vicarious touch and the dual coding theory to analyze the Smartphone purchase behavior of Generation Z. Research design, data and methodology: The study collected data from 349 respondents who were viewers of YouTube unboxing videos. A structured questionnaire using a 5-point Likert scale was employed as a survey instrument. Convenience sampling technique was utilized to select the samples. The data were analyzed using structural equation modeling (SEM). Results: Results reveal that vicarious touch and verbal description have a statistically significant positive effect on Generation Z's purchase intention of Smartphone. Moreover, purchase intention positively affects Generation Z's actual purchase behavior of Smartphone. However, the visual images did not significantly affect purchase intention. Conclusions: The study offers significant theoretical and practical implications. The study adds new knowledge to the extant literary field by highlighting the impact of digital product presentation in the form of Unboxing videos on purchase intention for technology products. Moreover, the study suggests content sponsorship and advertising opportunities for marketers in collaboration with the TechTubers on YouTube unboxing video platform.

• Journal of the Korean Society for information Management
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• v.27 no.2
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• pp.61-74
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• 2010

The knowledge sharing in a knowledge management process is much affecting generation and distribution of knowledge. Especially, the knowledge distribution is being revitalized with the center of social media service like twitter and library service 2.0 in the knowledge-based IT (Information Technology) environment. The present research analyzed the structure and characteristics of a social network inside an organization that is growing like an organism through self-organization through tools for SNA (Social Network Analysis) and multiple regression analysis of independent variables such as 1) a relationship between social network's structure and knowledge sharing, 2) a relationship between structural holes and knowledge sharing influence of centrality, 3) a relationship between individual ability and knowledge sharing of information technology and work recognition.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.1
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• pp.74-82
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• 2015

Two key challenges in statistical relational learning are uncertainty and complexity. Standard frameworks for handling uncertainty are probability and first-order logic respectively. A Markov logic network (MLN) is a first-order knowledge base with weights attached to each formula and is suitable for classification of dataset which have variables correlated with each other. But we need domain knowledge to construct first-order logics and a computational complexity problem arises when calculating weights of first-order logics. To overcome these problems we suggest a method to generate first-order logics and learn weights using association analysis in this study.

• Journal of Information Technology Applications and Management
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• v.15 no.3
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• pp.261-273
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• 2008

The starting point of knowledge generation and management is the enhancement of learning capability and capacity of organizational members. Organizational change for learning environment should be aligned with the change of organizational strategy, structure and processes. The study employed action learning methodology to constitute learning organization processes. The treatment effect to institute learning organization has been successful thanks to the members' zeal and consensus to change the processes. However, not every learning team has been so successful. Some cases complained time consuming where others expect to be helpful for their incentives. The researchers concluded that the most important point for success of the learning organization project should be the support of top management.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 1999.03a
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• pp.125-133
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• 1999

The objective of knowledge discovery and data mining lies in the generation of useful insights from a store of data. This paper presents a framework for knowledge mining to provide a systematic approach to the selection and deployment of tools for automated learning. Every methodology has its strengths and limitations. Consequently, a multistrategy approach may be required to take advantage of the strengths of disparate technique while circumventing their individual limitations. For concreteness, the general framework for data mining in marketing is examined in the context of developing agents for optimizing a supply chain network.

• International Journal of Knowledge Content Development & Technology
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• v.4 no.2
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• pp.5-23
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• 2014

The instant messenger (IM) is frequently encountered as a facilitator of communication in both social and working contexts. Nevertheless, there are concerns about the extent to which IMs bring organizational benefits, thereby overcoming interruptions to work. In this study, we focus on how IM tools contribute to knowledge transfer at work, as well as their influence on team performance. Our research model is validated by a survey of work professionals (n=41) at a small sized company. Implications and conclusions are discussed.

• Journal of Korean Library and Information Science Society
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• v.40 no.4
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• pp.243-259
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• 2009

This study introduces strengths theory, a core subject of career development and job-getting, and discusses about the factors of strengths(namely talents, knowledge and skills), the processes of strengths personalization, and generating employability. It searches for opportunities to apply the concept of employability to the field of Library and Information Science now thrown under hard pressure from information and communication technology. Employability is defined here as competence to make oneself employable as needed by discovering or creating work opportunities using one's own tested personalized strengths. Employability is a package of systematically organized information about the essential abilities and productive personalities of a person, and it is essential to be duly cognitive of one's employability if one seriously intends to succeed in jobs and career. Since generation of employability heavily involves complex processes of information and knowledge-making, expertise from LIS, particularly from areas of personal information management(PIM) and personal knowledge management(PKM), is expected to help for process facilitation.

• 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.