• Journal of Digital Convergence
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• v.7 no.2
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• pp.1-12
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• 2009

This study explored which the component factors on innovation brand to building an organizational culture of government. The innovation brand perception of organizational officers are in order brand awareness(recognition, discrimination) and brand loyalty(identification, ease of memory, meaning diffusion, the reaction of customer needs), brand salience, brand knowledge and brand innovation. The result of Importance-Performance analysis are as follows. We can see that Brand loyalty have Quadrant I meaning good management implementation. Brand Knowledge have Quadrant II meaning concentrate improving. Brand Uniqueness have Quadrant III meaning improving. And Recognition, familiarity and salience have Quadrant IV meaning low relative importance and high performance. The Quadrant IV consider the cost and benefit of brand management.

• Proceedings of the KSRS Conference
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• 2005.10a
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• pp.345-348
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• 2005

Because the current web search engine estimates the similarity of documents, using the frequency of words, many documents irrespective of the user query are provided. To solve these kinds of problems, the semantic web is appearing as a future web. It is possible to provide the service based on the semantic web through ontology which specifies the knowledge in a special domain and defines the concepts of knowledge and the relationships between concepts. In this paper to search the information of potential customers for home-delivery marketing, we model the specific domain for generating the ontology. And we research how to retrieve the information, using the ontology. Therefore, in this paper, we generate the ontology to define the domain about potential customers and develop the search robot which collects the information of customers.

• Knowledge Management Research
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• v.16 no.3
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• pp.103-128
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• 2015

This study sheds light on the role of corporate social responsibility in firms' growth by investigating how and what corporate social activities may flow down china auto industry market. This study results based on in-depth case studies from 5 international auto corporations suggest that positive diverse corporate social responsibility amplified that the influence of commitment to the customer on firm's brand loyalty and sustainable growth. The most important thing is that strategic corporate social responsibility activities including new venture creation support and national project program will have a positive influence on the firm's growth and brand reputation. We build on advanced solutions to examine the unique and joint activities of auto corporations based on china auto industry market and important factors affecting sustainable growth in auto corporations. Contributions and implication of this study for current and future corporate social responsibility research are discussed.

• Knowledge Management Research
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• v.16 no.4
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• pp.69-87
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• 2015

Given the huge number of data produced by its users, SNS is a great source of customer insights. Since viral trends in SNS reflect customers' direct feedback, companies can draw out highly meaningful business insights when such data is effectively analyzed and managed. However, while the importance of understanding SNS big data keeps growing, the methods for analyzing atypical data such as SNS postings for business insights over product has not been well studied. This study aims to demonstrate the way to exploit topic modeling method to support marketing strategy generation and therefore leverage business process. First, we conducted topic modeling analysis for twitter data of Apple and Samsung smartphones. Then we comparatively examined the analysis results to draw meaningful market insights about each smartphone product. Finally, we draw out a strategic marketing recommendation for each smartphone brand based on the findings.

• Journal of the Korean Society for Precision Engineering
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• v.15 no.5
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• pp.50-58
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• 1998

A proper model of expert system for the very thin sheet metal press die design has been suggested. Using the suggested model, an expert system of the very thin sheet metal press die has been developed. This study contains that the results from the developed system for three kinds of specimens have the adaptability in the actual site. In addition, the possibility for expansion of this system has been discussed. The developed system, which is based on the knowledge base, has been included in a lot of expert's technology in the practice field. C-language under the HP-UNIX system and CIS customer language of the EXCESS CAD/CAM system have been used as the overall CAD environment. Results from this system will provide effective aids to the designer in this field.

• Korean Journal of Computational Design and Engineering
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• v.4 no.1
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• pp.52-59
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• 1999

The CAD/CAM System for deep drawing transfer die tin mechanical press process has been developed. The developed CAD system can generate the drawing of transfer die in mechanical press. Using thee results from CAD system, it can generate the NC data to machine die's elements on the CAD system. This system can reduce design man-hour an human errors. In order to construct the system, it is used to automated the design process and generate the NC data using concepts of the designing rule and the machining rule. The developed system is based on the knowledge base system which is involved a lot of expert's technology in the practice field. Using AutoLISP language under the AutoCAD system, CTK customer language of SmartCAM is used as the overall CAD/CAM environment. Results of this system will be provide effective aids to the designer and manufacturer in this field.

• Knowledge Management Research
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• v.13 no.2
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• pp.95-109
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• 2012

Changing customer expectation, global competition, and technological requirements force firms to develop agile supply chain capabilities sustaining competitive advantage and business success. To respond, firms are seeking to enhance supply chain agility across the inter-organizational, this study explores the relationship between supply chain competence and supply chain agility on firm performance. The research reviews literature on supply chain capability and classifies capability into two categories as competence and capability based on resource based view and dynamic capabilities. It describes a framework to explore the relationships among supply chain competence (IT flexibility, supply chain flexibility, shared value), supply chain capability (supply chain agility), and firm performance (supply chain performance). The purpose of this study is to find the determinants of supply chain agility and improving firm performance in the perspective of vendor companies. The results indicate strong, positive, and direct relationships between supply chain competence and supply chain agility. Supply chain agility have significant relationships with firm performance. Implication for future research and practice are offered.

• Knowledge Management Research
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• v.21 no.2
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• pp.177-196
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• 2020

Since the adoption of K-IFRS(Korean International Financial Reporting Standards), the amount of financial footnotes has been increased. However, due to the stereotypical phrase and the lack of conciseness, deriving the core information from footnotes is not really easy yet. To propose a solution for this problem, this study tried financial footnote analysis for financial ratio predictions based on text-mining techniques. Using the financial statements data from 2013 to 2018, we tried to predict the earning per share (EPS) of the following quarter. We found that measured prediction errors were significantly reduced when text-mined footnotes data were jointly used. We believe this result came from the fact that discretionary financial figures, which were hardly predicted with quantitative financial data, were more correlated with footnotes texts.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2002.05a
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• pp.201-204
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• 2002

Kansei design knowledge acquisition stage is a crucial stage in kansei designing process and kansei engineering (KE) methodology. In kansei engineering methodology, it is essential to extract design knowledge or rules on relationships between customer's kansei and product design element. We attempt to construct a more powerful melted for extracting the design rules from kansei expremental data. We constucted a kansei experiment concerning color kansei evaluation, and analyzed the sane data by both conventional quantification theory type I and rough set theory. Finally, we compared the effectiveness of both methods for extracting rules and examined the extensions of rough set theory in kansei engineering.

• Journal of the Korea Safety Management & Science
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• v.5 no.1
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• pp.45-56
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• 2003

This study intend to make easy modification, even if there is a new job or structure change, by modularizing program and computerize and automation of production control management used in CIM. Under the condition where manager control production on the job-site, for increasing connection with other operation and management on the computer by monitoring center computer, Recognizing information by computer is needed, it is possible by converting transaction. So production increase and quality improvement are possible by diminishing manager's and producer's work with the result of the study combining POP and CIM, after that, in e-business and m-business period that every enterprise must pass, customer satisfaction and sales promotion are possible with employee's computerizing minds. These study result also can knowledge process condition with theoretical class and have a power in finding a solution with foundation of theoretical knowledge.