• Korean Journal of Computational Design and Engineering
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• v.14 no.2
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• pp.105-114
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• 2009

A design needs various experience and design knowledge through a whole design process. Despite of all efforts and time, it is not easy to introduce a product that meets all customer's needs and expectation in time. To achieve the product goal, designers need a set of sequential process to find appropriate design parameters and ensure customers' needs and requirements. In this research we propose a design methodology for the initial design of an excavator front group with existing QFD(Quality Function Deployment) and Axiomatic Design to satisfy customer's requirements. It turns out that the proposed methodology can support designers more effectively, objectively, and systematically.

• Proceedings of the Korean Society for Quality Management Conference
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• 2009.10a
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• pp.95-101
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• 2009

This study address the variables affecting customer satisfaction and purchase intention of discount stores and outlets, based on service quality affecting on customer satisfaction and purchase intention, aiming to help provide a service quality affecting on customer's interest, satisfaction and revisit around discount stores and outlets. Today, consumer needs are diversified, continually changing and differentiated. Under the market conditions of unlimited competition to satisfy those needs, businesses focus on relationship-building with customers, as well as on quality of Services. The present age, an age of knowledge economy, with blessed three changes: 'information', 'globalization', and 'service enablement'. The most noteworthy fact is that along with the development of technology and increase of income, the phenomenon of soft and service enablement of economy giving a great deal of weight on service has been progressively spread throughout the whole process of development, sales, consumption, and employment geared with development of technology and gains in earnings.

• Communications for Statistical Applications and Methods
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• v.9 no.1
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• pp.271-280
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• 2002

Recently, many companies have applied data mining techniques to promote competitive power in the field of their business market. In this study, we address how data mining, that is a technique to enable to discover knowledge from a deluge of data, Is used in an executed project in order to support decision making of an enterprise. Also, we develope scoring model on customer attrition probability for automobile-insurance company using data mining techniques. The development of scoring model in domestic insurance is given as an example concretely.

• 한국디지털정책학회:학술대회논문집
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• 2003.12a
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• pp.11-24
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• 2003

It is far more expensive for companies to acquire new customers than it is to retain customers. As a result, companies are turning to Customer Relationship Management (CRM) in order to make decisions about managing the relationship and the profitability of those customer relationships. CRM is a strategy that integrates the concepts of Knowledge Management, Data Mining and Data Warehousing in order to support the organization's decision -making process to retain long-term and profitable relationships with its customers. This paper examines the design implications that CRM poses to data warehousing. We then present a robust data warehouse schema to support CRM analyses and decisions. For example, the proposed schema could be used to calculate customer profitability and to identify social networks of influence between customers. The paper also discusses future areas for research pertaining to CRM data warehousing and data mining.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.549-560
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• 2020

The purpose of the study is to explore the psychological empowerment of the worker as a moderator to explain the link between knowledge sharing and innovative work behaviour within the telecommunication sector of Saudi Arabia. This study is based on a quantitative approach, having collected data through a series of questionnaires developed on previous studies. This study has applied Smart-Partial Least Squares (PLS) for the data analysis. The results revealed that there is a positive and significant relationship between knowledge sharing and innovative work behaviour. The knowledge sharing increases the competencies of the workers, bringing about more creativeness and perfection. Furthermore, this study elaborates that psychological empowerment plays an important role as a moderator in making a strong relationship between knowledge sharing and innovative work behaviour. This study concluded that the innovative work behaviour in any organisation depends on the practice, experience, and capabilities of the workers and, most importantly, the interdepartmental knowledge shared amongst them. The sharing of knowledge psychologically empowers the worker to bring creativity, modernization and excellence in the work that affects the marginal productivity, profitability, and customer satisfaction at a great extent. These factors provide long-run sustainability to business in a highly competitive market environment.

• Journal of Distribution Research
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• v.13 no.2
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• pp.97-123
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• 2008

Recently, there has been a growing trend toward private brand. Although much has been written about the determinants of attitude and purchase intention on PB, little is known about the influence of manufacturer and retailer trust on private brand purchase. This research addresses three questions:(1) what impact do manufacturer and retailer trust have on private brand purchase?(2) What is a key mediating variable in the relationship retailer between trust(on retailer/manufacture) and purchase intention?(3) Are the impacts of these factors differ depending on the level of customer knowledge? The findings indicate that retailer trust directly influence on the perceived quality, attitude toward private brand, and purchase intention. Manufacturer trust affects on attitude and purchase intention, however, only when it is through perceived quality. In addition, the relative impact of theses two factors differs to some extent, depending on the level of consumer knowledge. When customer knowledge is relatively high, retailer trust is a very important factor influencing perceived quality, attitude and purchase intention. On the other hand, both retailer trust and manufacturer trust are considered when customer knowledge on private brand is low.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.694-698
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• 2004

In this paper, as one of these efforts for making the intelligent data mining system we propose the Associative frame of the memory according to the following three steps. First,the structured frame for performing the main brain function should be made. In this frame, the concepts of learning memory and episode memory are considered. Second,the learning mechanism for data acquisition and storing mechanism in the memory frame are provided. The obtained data are arranged and stored in the memory following the rules of the structured memory frame. Third, it is the last step of processing the inference and knowledge retrieval function using the stored knowledge in the associative memory frame. This system is applied to the area for estimating the purchasing degree from the type of customer's tastes, the pattern of commodities and the evaluation of a company.

• Knowledge Management Research
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• v.18 no.4
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• pp.97-118
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• 2017

Thanks to the development of social media, general users become information and knowledge providers. But customers also feel difficulty to decide their purchases due to numerous information. Although recommender systems are trying to solve these information/knowledge overload problem, it may be asked whether they can honestly reflect customers' preferences. Especially, customers in book market consider contents of a book, recency, and price when they make a purchase. Therefore, in this study, we propose a methodology which can reflect these characteristics based on topic modeling and provide proper recommendations to customers in book market. Through experiments, our methodology shows higher performance than traditional collaborative filtering systems. Therefore, we expect that our book recommender system contributes the development of recommender systems studies and positively affect the customer satisfaction and management.

• Journal of Information Technology Services
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• v.15 no.3
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• pp.173-193
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• 2016

Start-ups do not have enough resources such as financial capital and established customer base. Knowledge base of start-up team members is the crucial and unrivaled resource. This study tries to explicate the knowledge sharing process occurring in this knowledge base of start-up teams. Adopting the knowledge process view, detail process of knowledge sharing process model is constructed consisting of knowledge sharing speed, quality and quantity in a form of nomological net and empirically tested. In addition, preceding antecedents and consequential outcomes of this knowledge sharing is also posited as part of the research model : knowledge state of the team leading to team creativity and agility via the explicated knowledge sharing process model. Also, as this knowledge based view are triggered by the advance of IT in general, IT support is conceptualized as an antecedent and measures are operationalized. 230 data points were collected from start-up teams. Via data analysis using PLS, theoretical relationships from knowledge state, IT support, knowledge sharing process and knowledge consequences are found to be empirically supported except a few not supported. Most of all, team agility and team creativity are theoretically supported and empirically validated as critical outcome variables beyond performance measures. Though agility and creativity has been discussed as critical construct in start-up teams, it has not be much validated empirically. Also, interestingly, IT support are found to be significantly impacting the knowledge sharing process as expected. Academic contributions and implications for practice are discussed at the end with limitations and further research.

• Journal of the Korean Society of Food Culture
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• v.29 no.3
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• pp.231-239
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• 2014

We studied customer recognition and understanding of menu labeling as well as the correlations between customer support for menu labeling and multiple factors, such as demographic characteristics, dinning-out behavior, and menu selection criteria. This study designed a survey and received responses from 351 individuals. The analysis results reveal that most respondents did not acknowledge menu labeling or lacked knowledge of it. Many of the respondents showed experience in ordering from menus with ingredient labels, but many showed no interest in menu labeling. Exactly 114 (32.5%) respondents showed support of menu labeling, and most were interested in levels of trans-fat, fat, and cholesterol. The respondents reported that menu labeling should be implemented more in fast-food restaurants and causal dinning restaurants. This study also analyzed how customer menu selection criteria are related to support level of menu labeling. Respondents were classified into three groups based on their support level for menu labeling (low medium high), after which correlations between customer menu selection criteria and support level were examined. Respondents in the high support group considered all menu selection criteria (i.e., ingredients, health, and consideration of calories). GLM analysis showed that monthly dining-out expenses were highly related to support level with a significance level of 0.05, and the interaction between monthly dining-out expenses and respondents' jobs also affected support level with a significance level of 0.01.