• Knowledge Management Research
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• v.24 no.4
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• pp.43-61
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• 2023

Businesses recognize the importance of empathy among members for achieving organizational goals. Accordingly, they have developed and implemented communication programs aimed at enhancing mutual understanding between the MZ generation and the older generation. However, recent communication programs conducted by businesses differ in that they involve compulsory participation driven by the organization. This study sought to empirically examine their effectiveness. Data was collected from 697 participants in communication programs to validate the proposed research model, which was empirically tested through regression analysis. The results of the analysis confirmed the effectiveness of communication programs even in non-voluntary situations and highlighted intergenerational perception differences. The findings of this study emphasize the significant role of communication and empathy within organizations. Consequently, they have impacted the development of communication strategies and culture within organizations, and are expected to provide theoretical and practical insights valuable to researchers and practitioners interested in intergenerational perception differences from a knowledge management perspective.

• Journal of the Korea Society of Computer and Information
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• v.15 no.5
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• pp.1-11
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• 2010

The success of semantic web depends largely on the semantic annotation which systematizes knowledge for the construction and production of ontology. Therefore, the efficiency of semantic annotation is very important in order to change many knowledge expressions and generate into ontology instances. In this paper, we presents a generation system of rule-based ontology instances which are produced accurately and efficiently via semantic annotation in conventional web sites. In conventional studies, the manual process is necessary for finding relevant information, comparing it with ontology, and entering information. We propose a new method that manages keyword data regarding extracted information and rule information separately. Thus, it is quite practical to extract information efficiently from various web documents by adding a small number of keywords and rules. The proposed method shows the possibility of ontology instance generation which reuses the rules and keywords from the various websites.

• Knowledge Management Research
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• v.15 no.1
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• pp.65-84
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• 2014

Organization's innovation capability is strongly tied to its intellectual capital or knowledge utilization. Employees play a key role in generation of intellectual capital and utilization of knowledge in a firm. Thus, the importance of human resource management (HRM) system for enhancing competency of employees and facilitating knowledge sharing between employees is getting its significance. In this paper, we highlighted the effect of HRM implementation to explain the reason of performance differences among firms, adopting the same ideal HRM system. The successful implementation of HRM system as well as the contents of HRM system was critical to enhance firm performance through HRM system. To investigate the effect of HRM implementation on firm performance, we proposed the three components of HRM implementation (i.e.; TMT philosophy, HR department capability and communication) in perspective of sense making and sense giving theory. Then, we analyzed the moderating effect of HRM implementation on the high commitment HRM - firm performance relationship. Empirical results showed that each component of HRM implementation positively strengthened the relationship between high commitment HRM and firm performance. In addition, the composite index of HRM implementation calculated by average value of three components revealed more significant moderating effect between the two. Furthermore, We discussed the academical and practical implications, and suggested future research directions.

• MALSORI
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• no.53
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• pp.75-92
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• 2005

Prosody Generation Based on C-ToBI Representation for Text-to-SpeechSeungwon Kim, Yu Zheng, Gary Geunbae Lee, Byeongchang KimProsody modeling is critical in developing text-to-speech (TTS) systems where speech synthesis is used to automatically generate natural speech. In this paper, we present a prosody generation architecture based on Chinese Tone and Break Index (C-ToBI) representation. ToBI is a multi-tier representation system based on linguistic knowledge to transcribe events in an utterance. The TTS system which adopts ToBI as an intermediate representation is known to exhibit higher flexibility, modularity and domain/task portability compared with the direct prosody generation TTS systems. However, the cost of corpus preparation is very expensive for practical-level performance because the ToBI labeled corpus has been manually constructed by many prosody experts and normally requires a large amount of data for accurate statistical prosody modeling. This paper proposes a new method which transcribes the C-ToBI labels automatically in Chinese speech. We model Chinese prosody generation as a classification problem and apply conditional Maximum Entropy (ME) classification to this problem. We empirically verify the usefulness of various natural language and phonology features to make well-integrated features for ME framework.

• The Research Journal of the Costume Culture
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• v.18 no.6
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• pp.1063-1075
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• 2010

Studying awareness, importance, satisfaction, and wearing behavior of functional textiles for active silver generation related with gender and age is expected to contribute to clothing products development to improve and maintain their health and marketing strategy fit for user characteristics. For empirical research, a survey was developed and the aged 50 and above were 332 respondents. The results of the study are as follows. First, silver generation considered all the clothing comfort sensations important when wearing clothes, such as tactile sensation, clothing pressure sensation, thermal/wet sensation, and motion sensation in human physiological aspect. Also, stretchy fabrics were ranked first in awareness, the number of wearing times, and satisfaction of comfort functional fabrics. More than 30% of silver generation have fifteen items out of 36 functional clothes. Second, in analysis of awareness by gender on functional clothing products, women were more aware of health/safety-oriented fabrics than men were. Otherwise, men had more knowledge about the water-related properties of functional fabrics than women have, such as water/moisture absorptive and water-repellent/vapor permeable fabrics. While women have more indoor casual wear, men had more active sportswear. Also, women expressed a strong preference to the stretchy function of fabrics.

• Journal of The Korean Association For Science Education
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• v.35 no.2
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• pp.277-288
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• 2015

The purpose of this study is to find the point for improvement through the comparative analysis of the 2007 & 2009 revised science curriculum, and the NGSS of the United States with Bloom's revised taxonomy. The results of the analysis confirmed that the revised curriculum in 2009 compared to the revised curriculum in 2007 has expanded the type of cognitive process and knowledge, which promote a higher level thinking. However, the revised curriculum in 2009 has been biased to the type of specific cognitive process and knowledge in cognitive process dimension and knowledge dimension as compared to the NGSS of the United States. In the revised curriculum in 2009, the type of cognitive process such as 'analyze,' 'evaluate,' 'create,' and the type of knowledge such as 'meta-cognitive knowledge' have been treated inattentively. In addition, through comparative analysis, it was identified that the type of cognitive process and knowledge that were neglected in achievement standards were not dealt with in the learning objective of teachers' guides, either. The revised curriculum should consist of achievement standards in comparison to the previous curriculum to reflect better the goals of science education. Therefore, it is necessary to create an achievement standards including various types of cognitive processes and knowledge by improving the method of statement of achievement standards of science curriculum.

• Journal of Korean Elementary Science Education
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• v.23 no.1
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• pp.61-73
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• 2004

The purpose of this study was to suggest a grounded theory on the process of undergraduate students' generating pattern-knowledge about scientific episodes. The pattern-discovery tasks were administered to seven college students majoring in elementary education. The present study found that college students show five types of procedural knowledge represented in the process of pattern-discovery, such as element, elementary variation, relative prior knowledge, predictive-pattern, and final pattern-knowledge. Furthermore, subjects used seven types of thinking ways, such as recognizing objects, recalling knowledges, searching elementary variation, predictive-pattern discovery, confirming a predictive-pattern, combining patterns, and selecting a pattern. In addition, pattern-discovering process involves a systemic process of element, elementary variation, relative prior knowledge, generating and confirming predictive-pattern, and selecting final pattern-knowledge. The processes were shown the abductive and deductive reasoning as well as inductive reasoning. This study also discussed the implications of these findings for teaching and evaluating in science education.

• Knowledge Management Research
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• v.22 no.2
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• pp.209-225
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• 2021

Product Lifecycle Management is a well-defined management method consisting of 8 knowledge areas. Since the 4th industrial revolution is closely related to smart factories, the importance of product lifecycle management, which effectively manages the entire process from product idea generation to disposal, is emerging. This study analyzed the current and future applications of the knowledge domain of product life cycle management from the perspective of the 4th industrial revolution for experts in the field of product life cycle management. The expert's perception was analyzed from the current point of view and the future point of view to see how the product life cycle management knowledge area is applied in the field. The current and future application degree of the knowledge domain of product life cycle management was analyzed, and whether there was a difference between the knowledge domains in terms of the level of application was analyzed. Based on the analyzed results, its meaning and future flow are presented.

• International Journal of Quality Innovation
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• v.9 no.3
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• pp.123-144
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• 2008

This paper describes a comprehensive approach to examine how technological innovation contributes to the renewal of a firm's competences through its dynamic and reciprocal relationship with R&D and product commercialization. Three theories of technology and innovation (the R&D and technological knowledge concept, product-process concept, technological interdependence concept) are used to relate technology and innovation to strategic management. Based on these theories, this paper attempts to identify the dynamic relationship between product innovation and process innovation using system dynamics by investigating that aspect of the dynamic changes in the closed feedback circulation structure in which R&D investments drive the accumulation of technological knowledge. Further, such knowledge accumulation actualizes product innovation and process innovation, subsequently resulting in an increase in productivity, customer satisfaction, profit generation, and.

• Proceedings of the Korea Database Society Conference
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• 1999.06a
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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.