• 한국디자인학회:학술대회논문집
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• 한국디자인학회 1998년도 제6회 1998 봄 학술연구발표대회 개요 집 디자인 학 연구
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• pp.7-8
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• 1998

• 디자인학연구
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• 제20권
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• pp.147-158
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• 1997

사용자와 생산자 모두의 편익을 추구하는 산업디자인은 최적 설계와 생산을 위해 속성 중심의 접근방식으로 소비자 니즈와 욕구를 파악하고 분석하는 활동을 필요로 한다. 그러나 제품속성 전반에 걸친 디자인활동에 대한 총체적 이해와 주요속성 파악을 위한 적절한 방법론의 채택이 이루어지지 않는다면, 속성중심접근법은 그 유용함에도 불구하고 산업디자이너가 신제품을 효과적으로 개발하는 데에 부족할지 모른다. 이 연구는 문헌자료를 통해 제품속성에 대한 디자인활동의 특성을 이해하고, 소비자 선택에 초점을 둔 디자인조사모델과 실제 구매의사 결정과정의 각 국면과 비교하여 그 한계를 정의함으로써 산업디자인을 위한 소비자 조사 모델의 가이드라인 개발을 목적으로 한다. 제안한 가이드라인에 따라 진행된 실제 구매의사결정과정의 관찰과 분석을 통하여, 이론 및 실제적인 각 국면에서 양자간의 차별가능성을 도출하였다.

• 대한인간공학회:학술대회논문집
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• 대한인간공학회 1997년도 춘계학술대회논문집
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• pp.212-226
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• 1997

Industrial design aiming the mutual benefit of both user and manufacturer demands grasping and analyzing the needa and wants of consumer for the establishrment of the optimum plan and production by attribute oriented approach. Inspite of its usefulness, however, it might be impossible to help industrial designers to develop a new product effectively without full understanding of industrial design activity in attributes of products and using the appropriate methodology for grasping the main attributes. This thesis is purposed for developing the guideline of research models of consumer for industrial design by studying characteristics of industrial design activity in attributes of products through bibliography and defining the clear limit of design research focused on consumer selection through comparison with real purchase decision making procedure at every phase. Through the observation and analysis of the real purchase decision making procedure following the proposed guideline, the possibility of difference between the two cases has been shown in both theoretical and practical aspects.

• 한국의류학회지
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• 제20권6호
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• pp.1027-1038
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• 1996

The decision making procedure of consumer's post purchase is important because post purchase evaluation function is the physiological variables in repurchasing. The previous studies of post-purchase decision making showed that consumer compared the expectation of pre-buying with the performance of the product of post-buying. After consumers evaluates the products, consumer is satisfactory or dissatisfactory with products. And the satisfaction effects repurchase intention. The criteria which consumer didn't consider can be important to consumer after buying. Therefore the research problems are as follows; 1. To reveal the consumer's post-purchase clothing evaluative criterita and to indentify the dimensions of post-purchase clothing evaluative criteria. 2, To examine a causal model of the repurchase intention by post- purchase clothing evaluative criteria, satisfaction and brand attitude, A questionnaire was developed and administered 530 women living in Taejeon, and social daytime wear was selected as a clothing item for the study. Consumer's post-purchase clothing evaluative criteria were composed of six dimensions; Fit, Utility, Management, Transformation, Wearing/sewing, Esthetic factor. The main causal model of repurchase intention is that post-purchase clothing evaluative criteria - satisfaction - brand altitude - repurchase intention. Finally we found that the post-purchase clothing evaluative criteria were important because the repurchase intention depended on post-purchase clothing evaluation, too.

• 경영과학
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• 제18권1호
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• pp.55-68
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• 2001

A virtual shopping mall is like a real-world mall, supports electronic shopping by selling products or services through Interne. Although increasing numbers of products are being marketed on the Web, little efforts has been spent on evaluating what mall is more suitable for marketing electronically and for protecting consumers. Evaluation of virtual shopping malls is regarded as a major task in business-to-consumer electronic commerce. This paper considers the Analytic Hierarchy Process(AHP) method in the evaluation of virtual shopping malls and provides its applications. The AHP is a systematic procedure for representing the elements of any problem, hierarchically. A series of pairwise comparison judgments is performed to express the relative strength or intensity of impact of the elements in the hierarchy. The AHP model hierarchy consists of the four following levels: decision maker, main criteria, sub-criteria, and virtual shopping malls. the main criteria include the state of physical firms, representation of information on the virtual shopping malls, product or service, convenience for shopping, consumer protection, and consumer service. The total number of sub-criteria in the third level is twenty-nine. All decision makers selected belong to virtual shopping mall enterprises, or universities. As a case study, we show the synthesized priority of the five virtual shopping malls that have acquired an E-Trust mark. Finally a sensitivity analysis shows how well each virtual shopping mall performs on each criterion by increasing or decreasing the importance of the main criteria.

• 지식경영연구
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• 제10권3호
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• pp.17-33
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• 2009

The emergence of the Internet shopping agent enabled consumers to enjoy Internet shopping more easily and quickly. Especially, the role of Internet shopping agent is becoming more important following the information overload trend on the Internet in that the consumers can promptly obtain information about a certain product and its price among countless items on the Internet. As a result, consumers can now enjoy shopping more easily, compared to the offline shopping which requires a lot of efforts in comparing the products and purchasing them. Since the Internet shopping agents collect extensive information about the products' price, delivery period, detailed characteristics, etc., and present a comparison table containing the information to the consumers, the consumers can shop more quickly at lower price using such shopping agents. However, it has not been sufficiently studied about how the various functions of shopping agents actually support consumers' purchase decision making procedure in everyday life, and if they do, in which stages they play a supporting role in consumers' purchase decision making system. Therefore, this study conducts an empirical analysis on the role of the Internet shopping agents in the purchase decision making process of the consumers, considering the Internet shopping agent as a decision making supporting system. Moreover, it analyzes how the effects of the Internet shopping agent differs according to the consumers' knowledge level about the products.

• 한국식품영양과학회지
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• 제27권3호
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• pp.543-552
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• 1998

A sruvey was conducted to investigate the consumer perception of farm products and processed foods, and to figure out the future direction of food supply system to satisfy the consumer need. From the citizens in Taegu area, 532 housewives were selected as sample subjects by stratified random sam-pling procedure. The main criteria of consumers for purchasing farm products was quality and the main reason for purchasing imported products was cheap price(48.9%). Most of consumers(87%) thought that food safety of farm products was not belong to safe level. Consumers(79.7%) perceived that the labeling system for the place of origin and for the quality are necessary, but they did not have confidence in the current label. Nearly all the subjects(93.6%) were concerned about the hazardness of residual chemicals of imported products, desired the rigorous inspection system for imported products. Consumers in Taegu area had confidence in processed foods in the following order; farmerbrand-product(0.9%), government-authorized farm product(30.0%) and agricultural cooperative association product(26.4%). However, only 73.6% of the consumers had the experience to purchase farmers' processed foods. As a conclusion, it appeared that nutrition education for consumers on food-decision making is strongly required for the substantial segment of population who are still ignorant of safety of imported product and food distribution system.

• International Journal of Human Ecology
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• 제9권1호
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• pp.81-95
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• 2008

This paper examined the impact of psychological characteristics of consumers on household debt decisions. With the use of the Heckit models (the traditional approach to the selection problem) this study undertook an empirical study of the influence of a wide range of factors on financial decisions. This study used U.S. household-level data that offers detailed information on household debt, expectations about future income, expectations about future economic conditions, the amount of financial risk the respondent was willing to take, and the amount of time allotted for planning family savings and spending. This study showed that respondents with both substantial financial risk tolerance and positive expectations about future income were likely to have larger household debt showing that researchers and policy-makers need to consider consumer sentiment and preference measures in modeling behavior in credit markets. Additional results showed that household debt is significantly related to two key economic variables: income and net worth.

• 한국정밀공학회지
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• 제20권1호
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• pp.118-125
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• 2003

As consumer's desire becomes various, agility of mold manufacturing is the most important factor for competitive mold manufacturer. Decision making process is required to produce optimal result of CAM systems in using commercial CAM system to generate tool path. The paper proposes a methodology fur computer-assisted tool selection procedures for various cutting type of rough, semi-rough and finish cuts. The procedure provides assistance for machining tool selection by analyzing sliced CAD model section of die cavity and core. Information about machining time for the generated NC-code is used to aid the tool selection. The module is developed with commercial CAM API. This module will be used fur the optimization of tool selection and planning process.

• JSTS:Journal of Semiconductor Technology and Science
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• 제17권1호
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• pp.65-78
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• 2017

Single Event Transient has a critical impact on highly integrated logic circuits which are currently common in various commercial and consumer electronic devices. Reliability against the soft and intermittent faults will become a key metric to evaluate such complex system on chip designs. Our previous work analyzing soft errors was focused on parallelizing and optimizing error propagation procedures for individual transient faults on logic and sequential cells. In this paper, we present a new propagation technique where a fault binary decision diagram (BDD) continues to merge every new fault generated from the subsequent logic gate traversal. BDD-based transient fault analysis has been known to provide the most accurate results that consider both electrical and logical properties for the given design. However, it suffers from a limitation in storing and handling BDDs that can be increased in size and operations by the exponential order. On the other hand, the proposed method requires only a visit to each logic gate traversal and unnecessary BDDs can be removed or reduced. This results in an approximately 20-200 fold speed increase while the existing parallelized procedure is only 3-4 times faster than the baseline algorithm.