• Agribusiness and Information Management
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• v.8 no.1
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• pp.11-16
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• 2016

This paper presents how Digital Knowledge Ecosystem such as "Govi Nena" (translates as agriculture intelligence) can be used to provide a more effective and practical solution to eliminate the inefficiencies in agricultural markets and achieve higher productivity and price stability. In order to establish the framework to analyze the system, this paper uses a set of hypothetical scenarios faced by value chain actors based on a review of the literature, established knowledge and recent developing country experiences. The scenario analysis reveals that "Govi Nena" enables farmers to make effective production decisions, deepens the level of value chain integration, and enhances the level of welfare for the society as a whole.

• Knowledge Management Research
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• v.19 no.3
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• pp.31-46
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• 2018

Despite the organizational benefits of knowledge sharing among employees, many workers are reluctant to share their knowledge with their colleagues. Most organizations have taken a lot of actions to facilitate knowledge sharing among employees, including developing reward systems, enhancing social networks and interpersonal relationships and crafting organizational cultures that support knowledge sharing. To date, however, earlier studies have demonstrated that knowledge doesn't flow easily when an organization makes a concerted effort to facilitate knowledge sharing. The issue whether or not employees are motivated to share their knowledge with others is definitely the main concern in knowledge sharing. The purpose of this study is to explore the conditions under which employees are inclined to share knowledge with other members. Specifically, we examine the effect of knowledge self-efficacy on knowledge sharing intention. In addition, we attempt to investigate medicating effects of personal outcome expectation and performance-related outcome expectation on the relationship between knowledge self-efficacy and knowledge sharing intention. To test the proposed hypotheses in our study, we collected data via a survey with a sample of 210 employees in 23 firms in Korea. The major findings of the empirical research are as follows: 1) knowledge self-efficacy was positively related with knowledge sharing intention. 2) personal outcome expectation has turned out to have a mediation effect on the relationship between knowledge self-efficacy and knowledge sharing intention. 3) performance-related outcome expectation also mediates the relationship between knowledge self-efficacy and knowledge sharing intention That is, this result indicates that knowledge self-efficacy has indirect effect on knowledge sharing intention through personal outcome expectation and performance-related outcome expectation. Based on these findings, implications of the research findings and recommendation for future research are discussed.

• Journal of Information Technology Services
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• v.8 no.1
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• pp.143-163
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• 2009

The study investigates the challenge of knowledge maintenance in the KMSs. Knowledge pieces are the embodiment of structures in an organization and need to be modified tuned to environmental change over time. Since the change of knowledge in the KMS is not made automatically, it requires user's active participation which is called maintenance action. This study shows that users are not voluntary in taking maintenance action with empirical data based upon knowledge pieces that are already established in the KMS. This article shows that the intention of maintaining KMS is negatively influenced by KM-related culture, organizational culture and the authority of knowledge piece rather than the organizational demography. An organizational culture has an influence directly upon the intention of maintaining knowledge but influence upon KM-related culture or the authority of knowledge piece, the influence indirectly related to the intention of maintaining knowledge. It can be argued that the organizational demography have only meager influence upon the intention of maintaining knowledge only by KM-related culture. This research has the implication that what factors are to be considered in maintaining knowledge pieces over time for the organization managers.

• Knowledge Management Research
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• v.13 no.1
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• pp.13-24
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• 2012

Unlike the traditional belief that knowledge flows along the formal reporting procedures, recent social network research has reported the importance of informal social networks which may play a critical role as the real knowledge conduits. In fact, as a complementary approach of utilizing knowledge management systems (KMSs), many firms have focused on managing informal knowledge flow through which to acquire and transfer valuable knowledge in a fast and effective way. In a case of global companies that have newly developed foreign branches or subsidiaries, due to cultural or institutional differences and lack of understanding of knowledge management and its benefits, they often have difficulties in activating knowledge sharing in local branches. In these situations, diagnosing organizational knowledge flow through SNA can be a first step to solve the problems. Therefore, in this paper, I report on the result of case study on a foreign branch of "A" global company by identifying organizational knowledge paths. Based on the results of the diagnosis, some implications and insights for building knowledge management (KM) strategy specified for a newly developed foreign branch will also be discussed.

• Journal of the Institute of Convergence Signal Processing
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• v.3 no.3
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• pp.27-35
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• 2002

A knowledge-based image retrieval technique is image searching methods using some features from the queried image. The materials in this study are automobile head lamps. The input data is composed of characters and images which have various pattern. The numbers, special symbols, and general letters are under the category of the character. The image informations are made up of the distribution of pixel data, statistical analysis, and state of pattern which are useful for the knowledge data. In this paper, we implemented a retrieval system for the scientific crime detection at traffic accident using the proposed multi knowledge-based image retrieval technique. The values for the multi knowledge-based image features were extracted from color and gray scale each. With this 22 features, we improved the retrieval efficiency about the color information and pattern information. Visual basic, crystal report and MS access DB were used for this application. We anticipate the efficient scientific detection for the traffic accident and the tracking of suspicious vehicle.

• Human Ecology Research
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• v.58 no.1
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• pp.105-120
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• 2020

This study helps infant teachers practice a constructivism-based teacher education program that supports infant mathematical inquiry activities and examines improvements in mathematical teaching knowledge, mathematical teaching initiatives, mathematical interaction, constructivism belief and mathematical teaching efficacy. Twenty two experiment group infant teachers and twenty two comparison group infant teachers were chosen at two workforce educare centers. The experiment group infant teachers participated in 18 sessions of a constructivism teacher training program for 8 weeks, but the comparison group infant teachers did not take part in the program. Pretest and post-tests were implemented for the mathematical teaching knowledge, mathematical teaching initiatives, mathematical interactions, constructivism belief and mathematical teaching efficacy in the experiment group. Independent sample t-test and ANCOVA were tested using Windows SPSS statistics 21.0. The homogeneity test for the experiment and comparison group revealed significant differences. ANCOVA was carried out after the pretest score was controlled as a co-variance. Significant differences were indicated in mathematical teaching knowledge, mathematical teaching initiative, mathematical interaction, constructivism belief and mathematical teaching efficacy. The results indicated that a constructivism-based teacher education program to support infant mathematical inquiry activities influenced improvements in mathematical teaching knowledge, mathematical teaching initiative, mathematical interaction, constructivism belief and mathematical teaching efficacy. This study proved the effects of the program based on constructivism theory content for the knowledge, skills and attitude about infant teaching of mathematical initiatives and practiced a program of exploration, investigation, application and assessment for infant teachers. The results can help infant teachers teach mathematical exploration activities and help activate infant mathematical exploration activities.

• Journal of Internet Computing and Services
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• v.12 no.5
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• pp.113-125
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• 2011

As information resources have become more various and the number of the resources has increased, knowledge customization on the social web has been becoming more difficult. To reduce the burden, we offer a framework for context-based similarity calculation for knowledge customization using ontology on the CBR. Thereby, we newly developed context- and intensity-based similarity calculation methods which are applied to extraction of the most similar case considered semantic similarity and syntactic, and effective creation of the user-tailored knowledge using the selected case. The process is comprised of conversion of unstructured web information into cases, extraction of an appropriate case according to the user requirements, and customization of the knowledge using the selected case. In the experimental section, the effectiveness of the developed similarity methods are compared with other edge-counting similarity methods using two classes which are compared with each other. It shows that our framework leads higher similarity values for conceptually close classes compared with other methods.

• The Journal of Korean Institute of Next Generation Computing
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• v.13 no.2
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• pp.102-110
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• 2017

Current word sense disambiguation techniques employ various machine learning-based methods. Various approaches have been proposed to address this problem, including the knowledge base approach. This approach defines the sense of an ambiguous word in accordance with knowledge base information with no training corpus. In unsupervised learning techniques that use a knowledge base approach, graph-based and similarity-based methods have been the main research areas. The graph-based method has the advantage of constructing a semantic graph that delineates all paths between different senses that an ambiguous word may have. However, unnecessary semantic paths may be introduced, thereby increasing the risk of errors. To solve this problem and construct a fine-grained graph, in this paper, we propose a model that iteratively constructs the graph while eliminating unnecessary nodes and edges, i.e., senses and semantic paths. The hybrid similarity estimation model was applied to estimate a more accurate sense in the constructed semantic graph. Because the proposed model uses BabelNet, a multilingual lexical knowledge base, the model is not limited to a specific language.

• The Transactions of the Korea Information Processing Society
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• v.6 no.11
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• pp.2863-2874
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• 1999

Apartment auction is a system that is used for the citizens to get a house. This paper deals with the implementation of a web-based intelligent decision support system using OLAP technique and data mining technique for auction decision support. The implemented decision support system is working on a real auction database and is mainly composed of OLAP Knowledge Extractor based on data warehouse and Auction Data Miner based on data mining methodology. OLAP Knowledge Extractor extracts required knowledge and visualizes it from auction database. The OLAP technique uses fact, dimension, and hierarchies to provide the result of data analysis by menas of roll-up, drill-down, slicing, dicing, and pivoting. Auction Data Miner predicts a successful bid price by means of applying classification to auction database. The Miner is based on the lazy model-based classification algorithm and applies the concepts such as decision fields, dynamic domain information, and field weighted function to this algorithm and applies the concepts such as decision fields, dynamic domain information, and field weighted function to this algorithm to reflect the characteristics of auction database.

• The Journal of Information Systems
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• v.21 no.3
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• pp.45-70
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• 2012

Based on the usage levels of target costing systems(TCS) and information technology (IT) infrastructure, this study aims to develop a framework useful for classifying four types of knowledge management(KM) strategies in manufacturing firms: process-oriented, product-oriented, mixed and negative. We adopted a multi-methodological approach by mixing both qualitative and quantitative methods. Before developing a framework, through a case study of the H Motor Company in Korea, this paper investigated and showed the functions of TCS in the management of tacit knowledge. The results from the case study indicated that with the use of TCS, a firm can create, transfer, and share diverse kinds of tacit knowledge among employees for the facilitation of process innovation. We also empirically confirmed the four types of KM strategies, and demonstrated the characteristics(i.e., size, total sales, age, and knowledge intensity) of the organizations adopting each strategy.