• Title/Summary/Keyword: Knowledge management systems

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Application of Domain Knowledge in Transaction-based Recommender Systems through Word Embedding (트랜잭션 기반 추천 시스템에서 워드 임베딩을 통한 도메인 지식 반영)

  • Choi, Yeoungje;Moon, Hyun Sil;Cho, Yoonho
    • Knowledge Management Research
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    • v.21 no.1
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    • pp.117-136
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    • 2020
  • In the studies for the recommender systems which solve the information overload problem of users, the use of transactional data has been continuously tried. Especially, because the firms can easily obtain transactional data along with the development of IoT technologies, transaction-based recommender systems are recently used in various areas. However, the use of transactional data has limitations that it is hard to reflect domain knowledge and they do not directly show user preferences for individual items. Therefore, in this study, we propose a method applying the word embedding in the transaction-based recommender system to reflect preference differences among users and domain knowledge. Our approach is based on SAR, which shows high performance in the recommender systems, and we improved its components by using FastText, one of the word embedding techniques. Experimental results show that the reflection of domain knowledge and preference difference has a significant effect on the performance of recommender systems. Therefore, we expect our study to contribute to the improvement of the transaction-based recommender systems and to suggest the expansion of data used in the recommender system.

BETTER INPUTS FOR KNOWLEDGE MANAGEMENT INFORMATION SYSTEMS: KNOWLEDGE SHARING MODELING AND THE INCENTIVES SYSTEM DESIGN

  • S. Ping Ho;Yaowen Hsu;Szu-Wei Lo
    • International conference on construction engineering and project management
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    • 2005.10a
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    • pp.564-568
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    • 2005
  • Recently, Knowledge Management (KM) has been applied to construction industry. Surprising, there is few studies that address the most fundamental problem in KM: people may prefer not to share their knowledge so as to preserve their intellectual or unique values in the organization. Without the premise of each individual's willingness to share knowledge, there will be no valuable input for the IT system and, thus, no knowledge management at all. This paper aims to model the behavioral dynamics of knowledge sharing and to design an incentive system that may facilitate knowledge sharing for construction companies. In this paper, a game-theory based model will be developed, and the framework for designing an incentive system will be proposed according to the model.

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A Comparison of Structural Position and Exploitative Innovation Based on a Patent Citation Network of the Top 100 Digital Companies

  • Hyun Mo Kang;Il Young Choi;Jae Kyeong Kim;Hyun Joo Shin
    • Asia pacific journal of information systems
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    • v.31 no.3
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    • pp.358-377
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    • 2021
  • Knowledge drives business innovation. However, even if companies have the same knowledge element in the business ecosystem, innovation performance varies depending on the structural position of the technical knowledge network. This study investigated whether there is a difference in exploitative innovation according to the structural position of the AI technical knowledge network. We collected patents from the top 100 digital companies registered with the US Patent Office from 2015 to 2019 and classified the companies into knowledge producer-based brokers, knowledge absorber-based brokers, knowledge absorbers, and knowledge producers from the perspective of knowledge creation and flow. The analysis results are as follows. First, a few of the top 100 digital companies disseminate, absorb, and mediate knowledge, while the majority do not. Second, exploitative innovation is the largest, in the order of knowledge producer, knowledge absorber-based broker, knowledge absorber, and knowledge producer-based broker. Finally, patents for industrial intelligence occupy a large proportion, and knowledge producers are leading exploitative innovation. Therefore, latecomers need to expand their resources and capabilities by citing patents owned by leading companies and converge with existing industries into AI-based industries.

Acknowledge Reusable Information in SAMsung SDS: Knowledge Management of SamsungSDS (언제나 마르지 않는 크고 깊은 샘: 삼성SDS의 지식 경영 사례)

  • Yim, Myung-Seong
    • Journal of Digital Convergence
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    • v.11 no.10
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    • pp.321-329
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    • 2013
  • The purpose of this study is to provide success factors to help the firms who are supposed to initiate knowledge management. To do this, this study investigate the case of knowledge management practice of Samsung SDS in detail. In doing so, we can identify the success factors for knowledge management. We can find failure and success factors through knowledge management in Samsung SDS. By doing so, it may be possible to "how to do it". "It" is about introduction to the knowledge management.

Fuzzy-based Trust Measurement for CoPs in Knowledge Management Systems (실행공동체를 위한 지식관리시스템에서의 퍼지기반 신뢰도 측정)

  • Yang, Kun-Woo
    • The Journal of Information Systems
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    • v.19 no.4
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    • pp.65-85
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    • 2010
  • The importance of communities of practice(CoP) as an organizational informal unit for fostering knowledge transfer and sharing gains a lot of attention from KM researchers and practitioners. Since most of CoPs are formulated online these days, the credibility or trustworthiness of knowledge contents circulated within a certain CoP should be considered thoroughly for them to be fully utilized safely. Here comes the need for an appropriate trust measuring methodology to determine the true value of knowledge given by unknown people through an online channel. In this paper, an improved trust measuring method is proposed using new trust variables such as level of degrees derived from the relationships among community users. In addition, activeness, relevance, and usefulness of the knowledge contents themselves, which are calculated automatically using a text categorization technique, are also used for trust measurement. The proposed framework incorporates fuzzy set and calculation concepts to help build trust matrices and models, which are used to measure the level of trust involved in specific knowledge artifacts concerned.

The Role of IT Usage in Mediating the Relationship between Knowledge Sharing and Academics Performance

  • Naief G Azyabi
    • Asia pacific journal of information systems
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    • v.28 no.3
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    • pp.167-182
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    • 2018
  • The purpose of this study is to investigate the relationship between knowledge sharing and academic performance in the context of quality-assurance related work. It furthermore aims to explore the role of information technology in mediating this relationship. Quantitative method was applied to collect data from the participants using an online-based questionnaire. Convenience sampling technique was used. The responses were collected from 140 participants in a university from Saudi Arabia. The study found a strong positive relationship between knowledge sharing and individual performance. It was also found out that information technology partially mediates the relationship between knowledge sharing and individual performance. The research unearths the significant contribution made by information technology in mediating the relationship between individual-level knowledge sharing and the individual performance. This helps to understand the positive impacts on individual work performance in institutions of higher education that would be derived if individuals use various forms of IT to share knowledge. The focus of the research is the individual performance as the pertinent contribution towards positive outcomes in institutional performance.

An Implementation Architecture for Knowledge Flow Model (지식 흐름 모델의 구현 아키텍처에 관한 연구)

  • Kim, Su-Yeon;Hwang, Hyun-Seok
    • Knowledge Management Research
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    • v.7 no.2
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    • pp.53-68
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    • 2006
  • Knowledge has become an important resource for organization. The manufacturing industry is usually operated on the basis of business processes, and most workers are familiar with their own processes. The process-based approach, therefore, can provide an efficient way to capture and navigate knowledge. In this study, we focus on knowledge which may be missed during knowledge transfer among workers. For this, we propose a method for analyzing knowledge flow, which is passed among business processes. We propose a process-based knowledge management framework for analyzing knowledge flow, which employs a two-phase analysis: process analysis and knowledge flow analysis. A knowledge flow model, represented by Knowledge Flow Diagram, is proposed as a tool for representing knowledge. We formulate several semantics for knowledge flow modeling. We build the three-level schema: conceptual, logical, and physical in order to automate the knowledge model adaptive to knowledge management systems. The proposed approach is verified and illustrated through a case study on the manufacturing process of A Company.

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A Study on the Implementation of Knowledge Management in Hospital (병원의 지식경영 도입방안에 관한 연구 -병원 지식경영 단계모델 구축-)

  • Jang, Ik-Sun;Na, Jeong-Mi
    • Management & Information Systems Review
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    • v.23
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    • pp.75-97
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    • 2007
  • In the meantime hospital system of Korea has institutionally performed its errand in stable circumstance, however the system now faces with new environment of change of customer's satisfaction, of regime, deepening of competition, and opening market. Under the rapidly and complicatedly changing circumstance, the hospital system is required to promote getting a dominant position in the competition, enhancing outcome, creating value added, and customer satisfaction in both internally and externally likewise other organizations, as they continuously introduce a knowledge management and originate, accumulate, and put the knowledge to practical use. This organization capacity of knowledge management involves a process of management that requires great change of all organizations and individuals and it is brought up through four steps which are Initiation, Propagation, Integration, and Networking. The main factors of successful knowledge management are intension of the chief executive officer(CEO), organizational culture, appraisal and compensation of work, knowledge controlling system, and organizational structure, and each of these five stage has got different characteristic. To be successful by introducing knowledge management, hospital organization should be based on these premises. Not only CEO or the director of a hospital, but also the constituent members should be fully aware of knowledge, the characteristic of knowledge management, and successful factors of this operation. Should understand step-by-step characteristic of knowledge management, therefore able to analyse a situation of specific hospital and see which step corresponds to that hospital. By analysing, constituents should make up for the weak points and ready to move on to next step. CEO or the director of a hospital should be aware of knowledge management as a strategic factor which is able to get a dominant position in the rapidly changing environment, and also it should be firm in the director's intention to introduce the knowledge management into the hospital. By continuously carrying out education and training constituent members, the director of a hospital should promote their interest and participation in knowledge management, and build an organization culture that ultimately creates, accumulates, shares, and put the knowledge to practical use. The hospital organization needs to systematize an institution of objective compensation that corresponds to objective appraisal of knowledge management outcome. The hospital ought to build knowledge controlling system in stages, in order to take the initiative in rapidly changing environment. By considering the characteristic of hospital system, it is required to change the organizational structure into self-managing team which is a sort of horizontal structure that allows members to make decisions and take the responsibility by themselves. The limitation of this study is experimental study. Positive investigation about successful factors of hospital knowledge management and characteristic of each steps is expected with following study.

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The Effects of IT Human Capability on Knowledge Transfer in Information Systems Outsourcing (정보기술 인적 역량이 지식 이전에 미치는 영향에 관한 연구: 정보시스템 아웃소싱 상황을 중심으로)

  • Park, Joo-Yeon;Kim, Joon-S.;Im, Kun-Shin
    • Asia pacific journal of information systems
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    • v.16 no.2
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    • pp.85-110
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    • 2006
  • The objective of this research is to identify the process of knowledge transfer and to examine the effect of IT human capability on knowledge transfer in information systems outsourcing. Through a field survey, it is found that clients' IT human capability significantly affects on cooperative learning with vendors and knowledge transfer from vendors to clients. The survey also shows that clients' trust with vendors indirectly enhances the knowledge transfer by increasing the cooperative learning. This study provides a solution of knowledge transfer problem in information systems outsourcing. Also it brings out issues that can be accrued in the outsourcing situation, such as clients' dependency on vendors and knowledge asymmetries developed in favor of the vendors. These issues should be topics for future research on information systems outsourcing.

Emerging Data Management Tools and Their Implications for Decision Support

  • Eorm, Sean B.;Novikova, Elena;Yoo, Sangjin
    • Journal of Korea Society of Industrial Information Systems
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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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