• KDI Journal of Economic Policy
• /
• v.13 no.2
• /
• pp.129-140
• /
• 1991

The primary purpose of price regulation on public utilities and other public services is not to prevent them from rising and control inflation but to allocate resources efficiently and reflect social values, when market does not function perfectly. That is, price regulation by government is a policy tool which is aimed at microeconomic effects. Therefore, when a microeconomic policy tool is used for macroeconomic policy objectives, such as price stabilization, we can have problems stemming from the mismatch. One of the examples is distortions in the relative price structure of resources. As government suppresses increases in regulated prices in an effort to reduce inflationary pressures, some of the public services become relatively cheaper, resulting in excess use of those services under regulation. Also, inflexibility of adjusting regulated prices to the overall price changes results in deterioration of qualities of public services. This paper proposes a set of reform proposals which are itnended to minimize such government failures. It is argued that the authority of price regulation should be decentralized, and ultimately done by independent regulatory commissions for each service. The pricing should be based on the principle of separate and independent accounting by each service unit and the principle of beneficiaries bearing the costs of services.

• Journal of the Korean Society of Food Science and Nutrition
• /
• v.32 no.3
• /
• pp.406-412
• /
• 2003

This study was intended to investigate physical characteristics of the bread with Laminaria powder. Three different powder concentration levels of 2.5%, 5% and 7.5% were added to flour to make the bread. The puffing rate, density, color, and texture were analyzed. Sensory evaluation was performed among female college students and housewives in their 50s. The volume of the dough during the fermentation and the final volume of the bread containing Laminaria powder was smaller than that of the dough without the powder. While adding the powder to the bread decreased the Hunter L (lightness) and a value (redness), it increased the b value (yellowness). In the texture analyzer measurement, hardness and fracturability of the bread were significantly increased by adding the powder and chewiness tended to increase. However, adhesiveness, springiness and cohesiveness were not significantly different among groups. As the result of the sensory evaluation, differences were observed between female college students and housewives in their 50s. In all indices of the sensory test, college students evaluated the bread with the powder lower than the bread without the powder, while the housewives preferred the bread with the powder. The bread containing 2.5% Laminaria powder obtained the most excellent scores. In conclusion, it is suggested that the bread with 2.5% Laminaria powder would be a highly acceptable bio-active product with proper physical characteristics.

• Proceedings of the Korean Society of Postharvest Science and Technology of Agricultural Products Conference
• /
• 2003.10a
• /
• pp.189.2-190
• /
• 2003

현재까지 미생물의 증식을 억제하는 보존제로는 인공합성품이 많이 알려져 이들이 주로 상업적으로 사용되고 있으나 그 안정성이 경우에 따라 문제되고 있으며 근래소비자의 건강 지향적 욕구가 증대됨에 따라 인공합성품의 기피현상이 두드러지고 있다. 따라서 이들 천연 항균물질의 개발과 이용은 인공 합성보존제의 대처라는 의미와 소비자기피현상을 유발시키지 않으면서 각종 가공식품의 저장성향상 및 저온 유통식품의 안정성확보라는 견지에서 그 중요성이 있다. 본 실험에서는 식품의 미생물 작용에 의한 변질의 저해 효과가 뛰어난 식물성천연항균제품(Botanical antimicrobial agents-Citrus product : 이하 BAAC라 칭함)에 천연보조제(Ginseng extract, Aloe, 매실추출물)를 첨가하여 Paper disk 법에 의한 항균성 검사를 실시한 결과 Ginseng extract를 첨가한 경우 생육저해환이 가장 크고 뚜렷하게 나타났다. 따라서 BAAC에 보조제(Ginseng extract)를 첨가하여 제조 된 천연 항균복합제재(이하 BAAG라 칭함)를 우유에는 각 농도별로 첨가하여 4$^{\circ}C$의 냉장상태와 2$0^{\circ}C$의 상온에서 저장하였고, 계란과 콩나물의 경우는 침지 처리한 후 꺼내어 상온에서 저장하면서 각각 주사전자현미경 관찰, 대장균수, 총균수의 변화, 외관상의 변화에 미치는 영향을 무처리 대조구와 비교하면서 조사하였다. 아울러, 계란의 경우는 조단백함량의 변화도 관찰하였다. 주사전자현미경 촬영사진의 결과 분석을 통하여 BAAG를 처리한 균체 세포는 세포막 및 세포벽 기능이 파괴되어 세포내용물이 균체외부로 유출되어 균체의 생육이 억제되며 성장을 저해 또는 사멸시키는 것으로 나타났다. 대장균수는 우유, 달걀 및 콩나물의 모든 처리구에서 BAAG의 첨가에 의해 성장이 억제되었으며 농도가 증가시킬수록 균증식 억제 효과가 뚜렷하였으며, 총균수도 압도적으로 낮은 간을 보여주었다. 달걀의 조단백함량의 변화는 BAAG를 처리하지 않은 무처리 대조구에 비하여 침지 처리한 경우가 조단백 변화가 크지 않았다. 즉, BAAG의 침지 처리한 경우, 저장기간 14일이 경과 한 후에 10%정도의 수준으로 감소한데 반하여, 무처리구인 대조구의 경우, 23%수준으로 감소 증도가 증가하였다. 외관상의 변화와 상품 가치를 측정한 결과는 달걀의 경우, 14일이 경과후에는 무처리 대조구에서 흰자위의 감소와 노른자위와의 경계가 뚜렷하지 못하여 상품으로서의 가치가 크게 떨어진 상태였다. 우유의 경우에는 4$^{\circ}C$와 2$0^{\circ}C$에 저장된 대조구에서는 각각 3일과 12일경과 후 강한 부패취와 아울러, 표피의 갈변정도가 심하되어 관능적으로 부패상태를 인지할 수 있었다. 콩나물의 경우도 저장3일 경과 후에 부패취와 함께 점질성 갈변물질이 생성되었다. 이와 같은 결과로 볼 때, BAAG의 처리는 BAAC의 경우보다 가격은 저렴하면서도 항균력은 우수한 천연 항균복합제재로써 농산물 식품원료에 적용하여 선도유지 기간을 연장할 수 있는 효과를 기대할 수 있었다.

• Management & Information Systems Review
• /
• v.32 no.3
• /
• pp.25-41
• /
• 2013

This study was designed to suggest the effective CSR strategies for MNCs operating in Chinese market. For this purpose, it compares the multi-years results for the evaluation on CSR activities of Multinational and Chinese firms. It also conducts questionnaire survey in an attempt at developing measures of Chinese publics' perception on the four dimensions of CSR defined by Research Center of Chinese Academy of Social Sciences - responsibility management, economic responsibility, social responsibility, and environmental responsibility. The findings of empirical analyses indicate that the CSR activities of MNCs much fall in all four dimensions compared with them of Chinese firms. Among four dimensions, MNCs have had bad evaluations especially on economic responsibility and social responsibility that are considered more important than the others to Chinese. Those findings imply that the MNCs has so far failed to implement effective CSR activities in China. In order to offset their liabilities of foreignness and compensate for their disadvantages in the lack of governmental supports, MNCs should intensify the CSR in economic and social responsibilities.

• Journal of Intelligence and Information Systems
• /
• v.17 no.4
• /
• pp.175-191
• /
• 2011

With the MICE(Meeting, Incentive travel, Convention, Exhibition) industry coming into the spotlight, there has been a growing interest in the domestic exhibition industry. Accordingly, in Korea, various studies of the industry are being conducted to enhance exhibition performance as in the United States or Europe. Some studies are focusing particularly on analyzing visiting patterns of exhibition visitors using intelligent information technology in consideration of the variations in effects of watching exhibitions according to the exhibitory environment or technique, thereby understanding visitors and, furthermore, drawing the correlations between exhibiting businesses and improving exhibition performance. However, previous studies related to booth recommendation systems only discussed the accuracy of recommendation in the aspect of a system rather than determining changes in visitors' behavior or perception by recommendation. A booth recommendation system enables visitors to visit unplanned exhibition booths by recommending visitors suitable ones based on information about visitors' visits. Meanwhile, some visitors may be satisfied with their unplanned visits, while others may consider the recommending process to be cumbersome or obstructive to their free observation. In the latter case, the exhibition is likely to produce worse results compared to when visitors are allowed to freely observe the exhibition. Thus, in order to apply a booth recommendation system to exhibition halls, the factors affecting the performance of the system should be generally examined, and the effects of the system on visitors' unplanned visiting behavior should be carefully studied. As such, this study aims to determine the factors that affect the performance of a booth recommendation system by reviewing theories and literature and to examine the effects of visitors' perceived performance of the system on their satisfaction of unplanned behavior and intention to reuse the system. Toward this end, the unplanned behavior theory was adopted as the theoretical framework. Unplanned behavior can be defined as "behavior that is done by consumers without any prearranged plan". Thus far, consumers' unplanned behavior has been studied in various fields. The field of marketing, in particular, has focused on unplanned purchasing among various types of unplanned behavior, which has been often confused with impulsive purchasing. Nevertheless, the two are different from each other; while impulsive purchasing means strong, continuous urges to purchase things, unplanned purchasing is behavior with purchasing decisions that are made inside a store, not before going into one. In other words, all impulsive purchases are unplanned, but not all unplanned purchases are impulsive. Then why do consumers engage in unplanned behavior? Regarding this question, many scholars have made many suggestions, but there has been a consensus that it is because consumers have enough flexibility to change their plans in the middle instead of developing plans thoroughly. In other words, if unplanned behavior costs much, it will be difficult for consumers to change their prearranged plans. In the case of the exhibition hall examined in this study, visitors learn the programs of the hall and plan which booth to visit in advance. This is because it is practically impossible for visitors to visit all of the various booths that an exhibition operates due to their limited time. Therefore, if the booth recommendation system proposed in this study recommends visitors booths that they may like, they can change their plans and visit the recommended booths. Such visiting behavior can be regarded similarly to consumers' visit to a store or tourists' unplanned behavior in a tourist spot and can be understand in the same context as the recent increase in tourism consumers' unplanned behavior influenced by information devices. Thus, the following research model was established. This research model uses visitors' perceived performance of a booth recommendation system as the parameter, and the factors affecting the performance include trust in the system, exhibition visitors' knowledge levels, expected personalization of the system, and the system's threat to freedom. In addition, the causal relation between visitors' satisfaction of their perceived performance of the system and unplanned behavior and their intention to reuse the system was determined. While doing so, trust in the booth recommendation system consisted of 2nd order factors such as competence, benevolence, and integrity, while the other factors consisted of 1st order factors. In order to verify this model, a booth recommendation system was developed to be tested in 2011 DMC Culture Open, and 101 visitors were empirically studied and analyzed. The results are as follows. First, visitors' trust was the most important factor in the booth recommendation system, and the visitors who used the system perceived its performance as a success based on their trust. Second, visitors' knowledge levels also had significant effects on the performance of the system, which indicates that the performance of a recommendation system requires an advance understanding. In other words, visitors with higher levels of understanding of the exhibition hall learned better the usefulness of the booth recommendation system. Third, expected personalization did not have significant effects, which is a different result from previous studies' results. This is presumably because the booth recommendation system used in this study did not provide enough personalized services. Fourth, the recommendation information provided by the booth recommendation system was not considered to threaten or restrict one's freedom, which means it is valuable in terms of usefulness. Lastly, high performance of the booth recommendation system led to visitors' high satisfaction levels of unplanned behavior and intention to reuse the system. To sum up, in order to analyze the effects of a booth recommendation system on visitors' unplanned visits to a booth, empirical data were examined based on the unplanned behavior theory and, accordingly, useful suggestions for the establishment and design of future booth recommendation systems were made. In the future, further examination should be conducted through elaborate survey questions and survey objects.

• Journal of Intelligence and Information Systems
• /
• v.21 no.2
• /
• pp.93-112
• /
• 2015

Depending on the change in consumer's consumption pattern, existing retail shop has evolved in hypermarket or convenience store offering grocery and daily products mostly. Therefore, it is important to maintain the inventory levels and proper product configuration for effectively utilize the limited space in the retail store and increasing sales. Accordingly, this study proposed proper product configuration and inventory level strategy based on RFM(Recency, Frequency, Monetary) model and SOM(self-organizing map) for manage the retail shop effectively. RFM model is analytic model to analyze customer behaviors based on the past customer's buying activities. And it can differentiates important customers from large data by three variables. R represents recency, which refers to the last purchase of commodities. The latest consuming customer has bigger R. F represents frequency, which refers to the number of transactions in a particular period and M represents monetary, which refers to consumption money amount in a particular period. Thus, RFM method has been known to be a very effective model for customer segmentation. In this study, using a normalized value of the RFM variables, SOM cluster analysis was performed. SOM is regarded as one of the most distinguished artificial neural network models in the unsupervised learning tool space. It is a popular tool for clustering and visualization of high dimensional data in such a way that similar items are grouped spatially close to one another. In particular, it has been successfully applied in various technical fields for finding patterns. In our research, the procedure tries to find sales patterns by analyzing product sales records with Recency, Frequency and Monetary values. And to suggest a business strategy, we conduct the decision tree based on SOM results. To validate the proposed procedure in this study, we adopted the M-mart data collected between 2014.01.01~2014.12.31. Each product get the value of R, F, M, and they are clustered by 9 using SOM. And we also performed three tests using the weekday data, weekend data, whole data in order to analyze the sales pattern change. In order to propose the strategy of each cluster, we examine the criteria of product clustering. The clusters through the SOM can be explained by the characteristics of these clusters of decision trees. As a result, we can suggest the inventory management strategy of each 9 clusters through the suggested procedures of the study. The highest of all three value(R, F, M) cluster's products need to have high level of the inventory as well as to be disposed in a place where it can be increasing customer's path. In contrast, the lowest of all three value(R, F, M) cluster's products need to have low level of inventory as well as to be disposed in a place where visibility is low. The highest R value cluster's products is usually new releases products, and need to be placed on the front of the store. And, manager should decrease inventory levels gradually in the highest F value cluster's products purchased in the past. Because, we assume that cluster has lower R value and the M value than the average value of good. And it can be deduced that product are sold poorly in recent days and total sales also will be lower than the frequency. The procedure presented in this study is expected to contribute to raising the profitability of the retail store. The paper is organized as follows. The second chapter briefly reviews the literature related to this study. The third chapter suggests procedures for research proposals, and the fourth chapter applied suggested procedure using the actual product sales data. Finally, the fifth chapter described the conclusion of the study and further research.

• Journal of Intelligence and Information Systems
• /
• v.27 no.2
• /
• pp.55-78
• /
• 2021

Tosolve complex and diverse social problems and ensure the quality of life of individuals, social robots that can interact with humans are attracting attention. In the past, robots were recognized as beings that provide labor force as they put into industrial sites on behalf of humans. However, the concept of today's robot has been extended to social robots that coexist with humans and enable social interaction with the advent of Smart technology, which is considered an important driver in most industries. Specifically, there are service robots that respond to customers, the robots that have the purpose of edutainment, and the emotionalrobots that can interact with humans intimately. However, popularization of robots is not felt despite the current information environment in the modern ICT service environment and the 4th industrial revolution. Considering social interaction with users which is an important function of social robots, not only the technology of the robots but also other factors should be considered. The design elements of the robot are more important than other factors tomake consumers purchase essentially a social robot. In fact, existing studies on social robots are at the level of proposing "robot development methodology" or testing the effects provided by social robots to users in pieces. On the other hand, consumer emotions felt from the robot's appearance has an important influence in the process of forming user's perception, reasoning, evaluation and expectation. Furthermore, it can affect attitude toward robots and good feeling and performance reasoning, etc. Therefore, this study aims to verify the effect of appearance of social robot and consumer emotions on consumer's attitude toward social robot. At this time, a social robot design evaluation model is constructed by combining heterogeneous data from different sources. Specifically, the three quantitative indicator data for the appearance of social robots from the ABOT Database is included in the model. The consumer emotions of social robot design has been collected through (1) the existing design evaluation literature and (2) online buzzsuch as product reviews and blogs, (3) qualitative interviews for social robot design. Later, we collected the score of consumer emotions and attitudes toward various social robots through a large-scale consumer survey. First, we have derived the six major dimensions of consumer emotions for 23 pieces of detailed emotions through dimension reduction methodology. Then, statistical analysis was performed to verify the effect of derived consumer emotionson attitude toward social robots. Finally, the moderated regression analysis was performed to verify the effect of quantitatively collected indicators of social robot appearance on the relationship between consumer emotions and attitudes toward social robots. Interestingly, several significant moderation effects were identified, these effects are visualized with two-way interaction effect to interpret them from multidisciplinary perspectives. This study has theoretical contributions from the perspective of empirically verifying all stages from technical properties to consumer's emotion and attitudes toward social robots by linking the data from heterogeneous sources. It has practical significance that the result helps to develop the design guidelines based on consumer emotions in the design stage of social robot development.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.11 no.12
• /
• pp.4928-4934
• /
• 2010

Dental health care in modern society has gradually been developing with patients'expectation, desire, and medical knowledge according to the changes in the medical industry. Dental marketing strategy is necessary to construct a better dental health environment in order to cope with customers' changes and desire. The purpose of this study was to evaluate the positive comments by word-of-mouth experience, quality of dental clinic service and customer satisfaction among dental patients. The study surveyed 5oo subjects being treated at 6 dental clinics in Seoul and Gyeonggi province. It was conducted from March 22 to April 9, 2010. The subject groups with a positive experience through word - of - mouth who had a perception about the quality of dental clinic service (p<.001) and customer satisfaction (p<.001) were higher than other groups who had no comments on their dental treatment and clinics. The results showed that there was a correlation(r=. 852, p<.001) between the positive comments by word-of- mouthabout the quality of dental clinics service and customer satisfaction. The perception of dental clinic service and patients' satisfaction with positive comments by word of mouth was highly recognized by older and more experienced patients of dental treatment. Therefore, the results suggest that empirical information on important factors about strategic marketing lead to positive comments by word of mouth experience for patients in dental clinics.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.6 no.4
• /
• pp.75-94
• /
• 2011

Our objective is to investigate the various variables that influence the purchase intention of small enterprise products and to interpret the impact of these variables in terms of individual differences. Need for cognition, need for uniqueness, and self-regulation are selected to explain the choice or purchase intention. The major reasons that consumers are reluctant to purchase small enterprise products are mainly due to problems in quality and distribution channel. When these problems are resolved, it is interesting to see how the individual differences affect purchase intention for small enterprise products and how the impacts will be changed. Previous studies assumed uni-dimensionality of need for cognition and need for uniqueness. We relaxed the assumption, incorporated the nature of multi-dimensionalities for these variables and showed that sub-dimensions of these variables have different effects on the purchase intention. After improving the conditions of quality or distribution channel, promotion focus and prevention focus for sub-dimensions of self-regulation have positive impacts on the purchase intention and sub-dimensions of need for cognition and need for uniqueness have enhancing or reducing effects on purchase intention. These results can be interpreted that consumers expect some levels of quality or distribution channel to reach consumer choice. Results for cluster analysis showed that how sub-dimensionalities of individual difference variables are combined to form groups and how these groups are related to purchase intention. Emphasis of quality over price has a negative correlation with purchase intention of small enterprise products.

• Korean Journal of Construction Engineering and Management
• /
• v.19 no.6
• /
• pp.124-134
• /
• 2018

Despite the many advantages of modular housing, low preference for modular housing for consumers who are familiar with RC structure leads to high construction cost of modular housing. The cost of modular buildings is about 130% of that of RC structures, so it is urgent to secure economical efficiency of modular buildings. Therefore, in this study, after calculating the savings amount of modular housing by type of construction work, economic analysis was conducted from a long - term perspective. In order to carry out the research, the authors compiled and analyzed the material cost, labor cost, and expenses incurred by each type of work by reclassifying the statement of the modular housing into the factory production and the site installation. After that, Pareto diagrams were created to find a core work that is included in the cost ratio of about 80%, and selected it as a cost reduction subject. Based on the assumption that the market size of domestic modular housing is similar to the level of modular advanced countries such as Japan and European countries, six cost reduction methods were set up that reflects the characteristics of the modular construction method and used for the expert interviews. Cost saving potentials in percentage from the interview were converted to the amount of savings that can be achieved by each type of method when applying the method. Finally, the findings of the study are expected to suggest long-term directions for technical development for modular construction and cost savings.