• Journal of Korea Society of Industrial Information Systems
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• v.19 no.3
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• pp.127-136
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• 2014

As a new management paradigm, co-creation for creating new value through collaboration with stakeholders, including customers, distributers, suppliers, and partner organizations has been issued in the private and public organizations. To collectively create new value, effective communication tools among the interest groups should be provided. In fact, most of organizations have utilized information technology such as home pages and SNS for distributing information and respecting customer opinions. However, they are seriously experiencing in difficulty of systematic management and overlapped investment on information technology for co-creation. Thus, this study proposes the conceptual model for co-creation platform through case studies and it is verified by scenario analysis and experts. The study contributes to accumulate knowledge in the area of co-creation platform. It also defines the requirements and the functions for the design of co-creation platform for practitioners.

• Journal of the Korean Society of Systems Engineering
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• v.10 no.1
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• pp.1-15
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• 2014

Refinery plant producing petroleum products from crude oil has significantly contributed to the creation of the national interests as a leading engineering industries. However, domestic Engineering Procurement Construction (EPC) companies are facing heavy competition for orders. Domestic EPC companies as EPC contractors are faced with some problems such as undertaking responsibility for FEED packages produced by other FEED companies. But domestic EPC contractors are unfamiliar to development and validation of FEED packages. It causes poor profitability and lower competitiveness of domestic companies. It is necessary for domestic companies to have capability to perform FEED activities in order to overcome these limitations instead of focusing on EPC phase after FEED phase. The systematic procedure is needed to perform the FEED activities, however, there are present difficulties on it due to the lack of experience in FEED packages development which require various engineering knowledge of chemical process, mechanics, electrics, instrumentation, civil engineering. This study has applied systems engineering method which is multi-disciplinary approach to derive and verify the solution to meet the customer's needs when the complex system is developed to task execution process development of FEED activities for refinery plant. The problems that may occur in the future were identified in advance by taking into account the various stakeholders and system context through the application of systems engineering. It helps to develop the task execution process systematically. The developed task execution process of FEED activities is planned to make effectiveness verified by engineering professionals experienced in FEED and continually enhance this process by field application.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.1
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• pp.209-214
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• 2009

Due to the high level of information supportive function of Internet, the management environment change is accelerating. The Patients are able to have the chances of Hospital- and Doctor-shopping. So the Customer Relationship Management skill or Patient -oriented management is becoming one of the important management method of Hospital. To adapt these trend, many Hospital invest the money and efforts for the implementation of Hospital CRM system. But the Performance of HCRM is not satisfactory for the investor from many reasons. In this paper we try to find out which kinds of factors have the Influences on the Implementation of HCRM, and how is the relation between these factors. We use the Structural Equation Model to clarify these relationships. The result of this paper will contribute in the decision making of the implementation of HCRM in the field, and in providing the knowledge base.

• The Journal of Industrial Distribution & Business
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• v.10 no.8
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• pp.25-32
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• 2019

Purpose - This study aims to explore women's beauty industry market and growth development by identifying the main factors of women's perception of skin health care. Research design, data, and methodology - The survey was conducted on women aged 20 to 60 living in Seoul. For the statistical analysis, frequency analysis, t-test and one-way ANOVA were conducted, and significant differences in p<0.05 were tested through the multiple range test of the Scheffe. The factor analysis was conducted to verify the validity of questions, and the reliability was determined by the coefficient of Cronbach's α. Results - The lower the age, the higher the perception of the skin, and women pay a higher price for skin health as a provisional customer. 'Acne care' was the most common skin condition (32.8%), 'life style' (79.8%) was the most important part of skin care. Final education was the highest level of skin care for women with a professional background (M=3.41) (F=4.028, p<.05). Conclusions - The differences in the recognition of health knowledge by age, marital status, and household monthly income were significant, but there was no difference between jobs and final education. Customers who use less skin care than customers who frequently use the skin care center were more aware of skin health, and women who have a high awareness of skin are more interested in aging and regenerating due to the skin care.

• Journal of Intelligence and Information Systems
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• v.12 no.3
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• pp.95-110
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• 2006

To enhance the rule-based reasoning capability of Semantic Web, the XRML (eXtensible Rule Markup Language) approach embraces the meta-information necessary for the extraction of explicit rules from Web pages and its maintenance. To effectuate the automatic identification of rules from unstructured texts, this research develops a framework of using rule ontology. The ontology can be acquired from a similar site first, and then can be used for multiple sites in the same domain. The procedure of ontology-based rule identification is regarded as a graph search problem with incomplete nodes, and an A* algorithm is devised to solve the problem. The procedure is demonstrated with the domain of shipping rates and return policy comparison portal, which needs rule based reasoning capability to answer the customer's inquiries. An example ontology is created from Amazon.com, and is applied to the many online retailers in the same domain. The experimental result shows a high performance of this approach.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.4
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• pp.31-38
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• 2019

The purpose of this study is to provide the priority of the front-loading factors in the design stage of the automotive parts development process in order to efficiently and effectively respond to the demands of the car maker (customer). Front-loading is defined as a strategy in order to improve development performance by shifting the identification and solving of design problems to earlier phases of a product development process. Two approaches of the front-loading are project-to-project knowledge transfer and rapid problem solving. For the study, a survey was conducted on the R&D department in the automobile parts company and analyzed by AHP (Analytic Hierarchy Process) method. The result of the survey shows the cost savings is the highest weight in terms of front-loading effect and in terms of front-loading factors, it gives priorities as "the problems of past project" first, "Design Review" second, "CAE (Computer Aided Engineering)" third, "FMEA (Failure Mode and Effects Analysis)" fourth, "benchmarking" and SR (Sourcing of Requirements). The results of the study will be helpful to provide practical value for improving product design of component development.

• Journal of Digital Contents Society
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• v.19 no.3
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• pp.513-519
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• 2018

The objective of this study was to examine the trends on social network services. The abstracts of 308 articles were extracted from web of science database published between 1994 and 2016. Time series analysis and topic modeling of text mining were implemented. The topic modeling results showed that the research topics were mainly 20 topics: trust, support, satisfaction model, organization governance, mobile system, internet marketing, college student effect, opinion diffusion, customer, information privacy, health care, web collaboration, method, learning effectiveness, knowledge, individual theory, child support, algorithm, media participation, and context system. The time series regression results indicated that trust, support satisfaction model, and remains of the topics were hot topics. This study also provided suggestions for future research.

• Culinary science and hospitality research
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• v.23 no.5
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• pp.92-100
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• 2017

The purpose of this study was to analyze the current status of 30 restaurants targeted for customized-visit consulting. For this process, experts visited restaurants and conducted consulting to improve the effectiveness of management for restaurants. A frequency analysis was used for general details, and a questionnaire survey was conducted to consult employees and customer groups. The analysis and consulting results were as follows: Firstly,menu need to be improved through restaurants' sanitary state and menu quality improvement. New menu should be developed through continuous training for restaurant operators, the relevant organizations, and cooking skill experts. Secondly, restaurants' cooking skill and knowledge should be secured by training of restaurant operators from the relevant organizations and experts to acquire cooking skills. In conclusion, restaurants' capability needs to be consolidated through persistent and cyclical process to maintain competitive menus and cooking skills. The results also showed that employee group's MOT, foods, menu, and facility education/training should be fortified. In order to reinvigorate the restaurant industry, marketers need to offer continuous education/training and consulting for employees to improve their satisfaction.

• Journal of Agricultural Extension & Community Development
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• v.19 no.3
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• pp.551-579
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• 2012

This case study aims to explore how RDA PLA model affects the agri-SMEs' empowerment. As an agri-business management renovation program from main workshop it was conducted on March to December 2011 with agri-SMEs and extension officials nationwide by RDA. Especially, as a packaged action learning process in the model used participatory action research. This study collected data with participants observation, interviews, situational analysis and systematic review of discourse in qualitative method. For the validity and identifying empirical results, this study used statistic analysis as a mixed method. Further including various pedagogic methods and business coaching skills, this model was conducted from workshop in RDA, in turn, on-farm business coaching as follow-up, CoPs' activities, and local ATCs extension services by each actors. The dynamic process and effects of each process led some change for farmers' innovative knowledge, skills, attitude, practice and aspiration on their farm business. RDA PLA model development based on the previous practices and research, which provided a configurated picture in the holistic action learning process. In statistic research, this study focused on 279 farmers as respondents who had participated in the program. It shows that their income and benefits increased from their renovative practices on farm business. Following the sampling group, it was surveyed by four indicators - products, customer, quality and cost. The level of contribution of education on economic impact 15% is quoted from previous paper. Even in some limitations of public sector, RDA PLA model actively suggests the paradigm shift of agricultural HRD and development of alternative extension-service system.

• 한국데이터정보과학회:학술대회논문집
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• 2006.04a
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• pp.109-120
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• 2006

Huge information has been made due to the current computing environment and could not be acceptable. People want the information which they can understand and accept easily. They may want not only simple information but also knowledge. That is why data mining becomes a center of information. We use RFM analysis in order to create customer score. Customers are classified into five groups(most oxcellenrexcellenycommoflowerilowest) for a various marketing activities. We can found the significant patterns in each group, and classify customers from loyal customers to leaving customers in the near future by the indirect data mining(e.g. association analysis) and the direct data mining(e.g. decision tree, logistic regression analysis, etc.), which are named in this study. Our research focuses on the advanced models by applying the association rules in data mining. Our results indicate that the indirect data mining and the direct data mining seem to have same outputs, but the former shows more clear pattern then the latter one.