• Journal of Distribution Science
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• v.9 no.2
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• pp.111-122
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• 2011

The purpose of this study is to survey the successful cases of small and medium Business Systematization Cognition by examining their entrepreneurial characteristics and analysing the factors affecting their success. To that end, previous studies on the association types of small businesses were studied. A research model was developed, and research hypotheses for an empirical analysis were established upon it. Suh et al. (2010) insist on the importance of Small Business Systematization in Korea but also show that small business performance is suffering: they are too small to stand alone. That is why association is so crucial for them: they must stand together. Unfortunately, association is difficult, as they have few specific links and little motivation. Even in franchising networks, association tends to be initiated by big franchisers, not small ones. In that sense, association among small businesses is crucial for their long-term survival. With this in mind, this study examines how they think and feel about the issue of 'Industrial Classification', how important Industrial Classification is to their business success, and what kinds of problems it raises in the markets. This study seeks the different cognitions among the association types of small businesses from the perspectives of participation motivation, systematization expectation, policy demand level, and management performance. We assume that different industrial classification types of small businesses will have different cognitions concerning these factors. There are four basic industrial classification types of small businesses: retail sales, restaurant, service, and manufacturing. To date, most of the studies in this area have focused on collecting data on the external environments of small businesses or performing statistical analyses on their status. In this study, we surveyed 4 market areas in Busan, Masan, and Changwon in Korea, where business associations consist of merchants, shop owners, and traders. We surveyed 330 shops and merchants by sending a questionnaire or visiting. Finally, 268 questionnaires were collected and used for the analysis. An ANOVA, T-test, and regression analyses were conducted to test the research hypotheses. The results demonstrate that there are differences in cognition depending upon the industrial classification type. Restaurants generally have a higher cognition concerning job offer problems and a lower cognition concerning their competitiveness. Restaurants also depend more on systematization expectation than do the other industrial classification types. On the policy demand level, restaurants have a higher cognition. This study identifies several factors that are contributing to management performance through differences in cognition that depend upon association type: systematization expectation and policy demand level have positive effects on management performance; participation motivation has a negative effect on management performance. We confirm also that the image factors of different cognitions are linked to an awareness of the value of systematization and that these factors show sequential and continual patterns in the course of generating performances. In conclusion, this study carries significant implications in its classifying of small businesses into the four different associational types (retail sales, restaurant, services, and manufacturing). We believe our study to be the first one to conduct an empirical survey in this subject area. More studies in this area will likely use our research frameworks. The data show that regionally based industrial classification associations such as those in rural cities or less developed areas tend to suffer more problems than those in urban areas. Moreover, restaurants suffer more problems than the norm. Most of the problems raised in this study concern the act of 'associating itself'. Most associations have serious difficulties in associating. On the other hand, the area where they have the least policy demand is that of service types. This study contributes to the argument that associating, rather than financial assistance or management consulting, promotes the start-up and managerial performance of small businesses. This study also has some limitations. The main limitation is the number of questionnaires. We could not survey all the industrial classification types across the country because of budget and time limitations. If we had, we could have produced many more useful results and enhanced the precision of our analysis. The history of systemization is very short and the number of industrial classification associations is relatively low in Korea. We should keep in mind, though, that this is very crucial to systemization entrepreneurs starting their businesses, as it can heavily affect their chances of success. Being strongly associated with each other might be critical to the business success of industrial classification members. Thus, the government needs to put more effort and resources into supporting the drive of industrial classification members to become more strongly associated.

• Progress in Medical Physics
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• v.27 no.2
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• pp.64-71
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• 2016

We develop a manufacture procedure for the production of a patient specific customized bolus (PSCB) using a 3D printer (3DP). The dosimetric accuracy of the 3D-PSCB is evaluated for electron beam therapy. In order to cover the required planning target volume (PTV), we select the proper electron beam energy and the field size through initial dose calculation using a treatment planning system. The PSCB is delineated based on the initial dose distribution. The dose calculation is repeated after applying the PSCB. We iteratively fine-tune the PSCB shape until the plan quality is sufficient to meet the required clinical criteria. Then the contour data of the PSCB is transferred to an in-house conversion software through the DICOMRT protocol. This contour data is converted into the 3DP data format, STereoLithography data format and then printed using a 3DP. Two virtual patients, having concave and convex shapes, were generated with a virtual PTV and an organ at risk (OAR). Then, two corresponding electron treatment plans with and without a PSCB were generated to evaluate the dosimetric effect of the PSCB. The dosimetric characteristics and dose volume histograms for the PTV and OAR are compared in both plans. Film dosimetry is performed to verify the dosimetric accuracy of the 3D-PSCB. The calculated planar dose distribution is compared to that measured using film dosimetry taken from the beam central axis. We compare the percent depth dose curve and gamma analysis (the dose difference is 3%, and the distance to agreement is 3 mm) results. No significant difference in the PTV dose is observed in the plan with the PSCB compared to that without the PSCB. The maximum, minimum, and mean doses of the OAR in the plan with the PSCB were significantly reduced by 9.7%, 36.6%, and 28.3%, respectively, compared to those in the plan without the PSCB. By applying the PSCB, the OAR volumes receiving 90% and 80% of the prescribed dose were reduced from $14.40cm^3$ to $0.1cm^3$ and from $42.6cm^3$ to $3.7cm^3$, respectively, in comparison to that without using the PSCB. The gamma pass rates of the concave and convex plans were 95% and 98%, respectively. A new procedure of the fabrication of a PSCB is developed using a 3DP. We confirm the usefulness and dosimetric accuracy of the 3D-PSCB for the clinical use. Thus, rapidly advancing 3DP technology is able to ease and expand clinical implementation of the PSCB.

• Journal of Intelligence and Information Systems
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• v.23 no.4
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• pp.147-168
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• 2017

There have been many studies on accurate stock market forecasting in academia for a long time, and now there are also various forecasting models using various techniques. Recently, many attempts have been made to predict the stock index using various machine learning methods including Deep Learning. Although the fundamental analysis and the technical analysis method are used for the analysis of the traditional stock investment transaction, the technical analysis method is more useful for the application of the short-term transaction prediction or statistical and mathematical techniques. Most of the studies that have been conducted using these technical indicators have studied the model of predicting stock prices by binary classification - rising or falling - of stock market fluctuations in the future market (usually next trading day). However, it is also true that this binary classification has many unfavorable aspects in predicting trends, identifying trading signals, or signaling portfolio rebalancing. In this study, we try to predict the stock index by expanding the stock index trend (upward trend, boxed, downward trend) to the multiple classification system in the existing binary index method. In order to solve this multi-classification problem, a technique such as Multinomial Logistic Regression Analysis (MLOGIT), Multiple Discriminant Analysis (MDA) or Artificial Neural Networks (ANN) we propose an optimization model using Genetic Algorithm as a wrapper for improving the performance of this model using Multi-classification Support Vector Machines (MSVM), which has proved to be superior in prediction performance. In particular, the proposed model named GA-MSVM is designed to maximize model performance by optimizing not only the kernel function parameters of MSVM, but also the optimal selection of input variables (feature selection) as well as instance selection. In order to verify the performance of the proposed model, we applied the proposed method to the real data. The results show that the proposed method is more effective than the conventional multivariate SVM, which has been known to show the best prediction performance up to now, as well as existing artificial intelligence / data mining techniques such as MDA, MLOGIT, CBR, and it is confirmed that the prediction performance is better than this. Especially, it has been confirmed that the 'instance selection' plays a very important role in predicting the stock index trend, and it is confirmed that the improvement effect of the model is more important than other factors. To verify the usefulness of GA-MSVM, we applied it to Korea's real KOSPI200 stock index trend forecast. Our research is primarily aimed at predicting trend segments to capture signal acquisition or short-term trend transition points. The experimental data set includes technical indicators such as the price and volatility index (2004 ~ 2017) and macroeconomic data (interest rate, exchange rate, S&P 500, etc.) of KOSPI200 stock index in Korea. Using a variety of statistical methods including one-way ANOVA and stepwise MDA, 15 indicators were selected as candidate independent variables. The dependent variable, trend classification, was classified into three states: 1 (upward trend), 0 (boxed), and -1 (downward trend). 70% of the total data for each class was used for training and the remaining 30% was used for verifying. To verify the performance of the proposed model, several comparative model experiments such as MDA, MLOGIT, CBR, ANN and MSVM were conducted. MSVM has adopted the One-Against-One (OAO) approach, which is known as the most accurate approach among the various MSVM approaches. Although there are some limitations, the final experimental results demonstrate that the proposed model, GA-MSVM, performs at a significantly higher level than all comparative models.

• 한국유가공학회:학술대회논문집
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• 2007.09a
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• pp.49-58
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• 2007

Inflammatory process leads to the well-known mucosal damage and therefore a further disturbance of the epithelial barrier function, resulting abnormal intestinal wall function, even further accelerating the inflammatory process[1]. Despite of the records, etiology and pathogenesis of IBD remain rather unclear. There are many studies over the past couple of years have led to great advanced in understanding the inflammatory bowel disease(IBD) and their underlying pathophysiologic mechanisms. From the current understanding, it is likely that chronic inflammation in IBD is due to aggressive cellular immune responses including increased serum concentrations of different cytokines. Therefore, targeted molecules can be specifically eliminated in their expression directly on the transcriptional level. Interesting therapeutic trials are expected against adhesion molecules and pro-inflammatory cytokines such as TNF-${\alpha}$. The future development of immune therapies in IBD therefore holds great promises for better treatment modalities of IBD but will also open important new insights into a further understanding of inflammation pathophysiology. Treatment of cytokine inhibitors such as Immunex(Enbrel) and J&J/Centocor(Remicade) which are mouse-derived monoclonal antibodies have been shown in several studies to modulate the symptoms of patients, however, theses TNF inhibitors also have an adverse effect immune-related problems and also are costly and must be administered by injection. Because of the eventual development of unwanted side effects, these two products are used in only a select patient population. The present study was performed to elucidate the ability of TNF-${\alpha}$ antibodies produced in sheep colostrums to neutralize TNF-${\alpha}$ action in a cell-based bioassay and in a small animal model of intestinal inflammation. In vitro study, inhibitory effect of anti-TNF-${\alpha}$ antibody from the sheep was determined by cell bioassay. The antibody from the sheep at 1 in 10,000 dilution was able to completely inhibit TNF-${\alpha}$ activity in the cell bioassay. The antibodies from the same sheep, but different milkings, exhibited some variability in inhibition of TNF-${\alpha}$ activity, but were all greater than the control sample. In vivo study, the degree of inflammation was severe to experiment, despite of the initial pilot trial, main trial 1 was unable to figure out of any effect of antibody to reduce the impact of PAF and LPS. Main rat trial 2 resulted no significant symptoms like characteristic acute diarrhea and weight loss of colitis. This study suggested that colostrums from sheep immunized against TNF-${\alpha}$ significantly inhibited TNF-${\alpha}$ bioactivity in the cell based assay. And the higher than anticipated variability in the two animal models precluded assessment of the ability of antibody to prevent TNF-${\alpha}$ induced intestinal damage in the intact animal. Further study will require to find out an alternative animal model, which is more acceptable to test anti-TNF-${\alpha}$ IgA therapy for reducing the impact of inflammation on gut dysfunction. And subsequent pre-clinical and clinical testing also need generation of more antibody as current supplies are low.

• Journal of Sasang Constitutional Medicine
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• v.8 no.1
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• pp.395-411
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• 1996

1. 연구배경 사상체질의학(四象體質醫學)을 창시하여 개인(個人)의 차별성(差別性)을 강조한 동무(東武) 이제마(李濟馬)는 양생(養生)의 방법(方法)에서도 체질별(體質別) 요법(療法)을 말하고 있는데 체질별(體質別)로 과소지장(過小之臟)의 기능(機能)이 정상적(正常的)으로 이루어지는 상황을 완실무병(完實無病)의 조건으로 제시(提示)하였고 이를 위한 수단(手段)으로 성정(性情)과 함께 약물(藥物), 식품(食品) 등을 이용하였다. 특히 식이요법(食餌療法)에 있어서도 체질(體質)에 따른 구별(區別)의 필요성(必要性)을 말하고 있는데 식품(食品)이라 하더라도 그 음식(飮食)을 섭취하여 과대(過大)한 장기(臟器)의 기능(機能)은 유제(柳制)하고 과소(過小)한 기능(機能)은 보완(補完)받음으로써 불균형(不均衡)을 조정(調整)한 것이다. 당뇨병의 식단 작성은 평생동안 열량(熱量)과 영양소(營養素) 필요치(必要置)을 맞출 것을 권장하고 당뇨병학회에서 편집한 식품교환표(食品交換表)를 사용(使用)하는 것이 일반적(一般的)인데 식품교환표(食品交換表)는 많은 식품(食品)들중에 같은 영양소를 가진 식품(食品)들을 한 그룹으로 묶어 환자(患者)의 기호(嗜好)에 따라 교환(交煥)해 가면서 먹을 수 있도록 고안(考案)한 것이니 이에 지시한 수량(數量)만 섭취해도 저(低)cal식(食)으로 관양(管養)의 균형(均衡)이 잘 이루어진다. 본 연구는 체질별로 이로운 식품표에 근거하여 식이요법(食餌療法)이 특히 강조되고 하루 섭취열량이 제한되는 성인병중의 하나인 당뇨병(糖尿病)의 식단(1800kcal)을 식단작성법에 따라 구성(構成)하여 몇가지 예를 제시해 보았다. 구체적으로 태음인(太陰人), 소음인(少陰人), 소양인(少陽人)의 당뇨 환자 1800kcal에 대한 식단을 구성하여 제시했는데 즉, 태음인(太陰人)의 식단은 태음인(太陰人)에 유리(有利)한 식품(食品)들로 구성하고 해(害)로운 식품(食品)들은 제외시키는 방법(方法)을 이용하였다. 이 식단은 다분히 이론적(理論的)인 식단으로 임상(臨床)에 이용(利用)하여 본 바는 없으나 동량(同量)의 열량(熱量)을 섭취(攝取)하더라도 체질(體質)에 적합(適合)한 식품(食品)으로 구성된 식사(食事)가 각 체질의 섭생(攝生)에 더 유리(有利)하지 않올까 하는 단순(單純)한 사고(思考)에 바탕을 둔 것이다. 2. 연구방법 1) 후세가(後世家)가 주장(主張)한 체질별(體質別) 식품(食品) 분류(分類)를 종합, 정리한 체질별(體質別) 식품표(食品表)를 제시한다. 박석언의 동의사상대전, 박인상의 동의사상요결, 송일병의 알기 쉬운 사상의학, 홍순용의 사상진료보원, 홍순용, 이을호의 사상의학원론에서 체질별로 유익한 식풍을 조사하여 곡류, 과일류, 채소류, 어패류, 육류로 분류하여 살펴본다. 2) 당뇨병(糖尿病) 식이요법의 식단 작성법의 개요(槪要)를 제시한다. 3) 1)의 체질별(體質別) 식품표(食品表)로 태음인(太陰人), 소음인(少陰人), 소양인(少陽人)의 당뇨 식단 1800kcal을 작성해 제시(提示)한다. 체질별(體質別)로 유익(有益)한 식품(食品)은 1)의 식품표에 근거(根據)하고 체질별(體質別)로 해(害)로운 식품(食品)은 노정우(盧正祐), 한동석(韓東錫)의 주장에 근거(根據)한다. 3. 결과 체질별(體質別) 식품표(食品表)는 후세가의 연구를 종합하여 제시(提示)하였고, 식품(食品)을 분류(分類)한 후(後) 약명(藥名)과 성미(性味), 귀경(歸經)을 찾아 도표화 하였다. 체질별 식품들은 대부분 소음인(少陰人)의 경우 신감(辛甘) 온열(溫熱)하며 비위(脾胃)로 귀경(歸經)하고 태음인(太陰人)의 경우 감신(甘辛) 온열(溫熱)하며 폐간(肺肝)으로 귀경(歸經)하고 소양인(少陽人)의 산고(酸苦) 양한(凉寒)하고 신(腎)으로 귀경(歸經)함이 우세(優勢)함을 알 수 있다. 즉, 체질적으로 양성(陽性)인 소양인(少陽人)은 식품의 성질이 음성(陰性)인 것이 유리(有利)하고 체질적으로 음성(陰性)인 태음인(太陰人), 소음인(少陰人)은 식품의 성질이 양성(陽性)인 것이 유리(有利)하다. 다양한 식품(食品)을 섭취하고자 하는 환자의 욕구(慾求)에 맞추면서도 식품교환의 범위를 체질별로 유익한 식품들로 제한하여 동일(同一)한 열량(熱量)의 식단이라도 체질에 맞는 식품으로 차별성(差別性)을 두었는데 식단의 작성은 전문 영양사의 의견을 거쳤다. 제시된 식단은 다소 이론적(理論的)으로 작성(作成)된 단계이고 임상적(臨床的) 검증을 거친 바 없으나 활용하기에 따라 실용성을 얻을 수 있으리라 본다. <식단예> 태음인의 식단: 곡류 : 콩, 율무, 밀가루, 밀, 수수, 들깨, 고구마, 땅콩, 기장, 옥수수, 두부, 설탕등 태음인에 유리한 식품으로 교환한다 어때류 : 우렁이, 대구, 조기, 민어, 청어, 오정어, 낙지, 미역, 김, 다시마등으로 교환한다 육류 : 소고기, 우유등으로 교환한다 과일류 : 밤, 배, 호도, 은행, 잣, 살구, 매실, 자두등으로 교환한다 채소류 : 무우, 도라지, 연근, 토란, 마, 고사리, 더덕, 목이버섯, 송이버섯, 석이버섯등으로 교환한다 해로운 음식 : 닭, 돼지, 모밀, 배추, 사과, 염소고기, 조개, 계란, 곳감, 커피등은 피한다 * 아침 ; 콩나물죽, 대구포묶음, 우령이무침, 갓김치, 우유, 자두 점심 ; 기장밥, 콩나물두부찌게, 장어양념구이, 도라지나물, 열무김치, 배 저녁 ; 수수밥, 두부명란, 더덕양념구이, 깍두기 * 아침 ; 비빔국수, 토란국, 알타리김치, 두유, 살구주스 점심 ; 율무밥, 낙지전골, 김무생채, 느타리나물무침, 동치미, 귤 저녁 ; 콩밥, 감자북어국, 두부묶음, 열무김치 소음인의 식단: 곡류 : 찹쌀, 좁쌀, 차조, 감자등 소음인에 유익한 식품으로 교환한다 어패류 : 명태, 미꾸라지, 뱀장어, 뱀, 메기등 육류 : 닭, 개, 꿩, 염소, 양, 참새고기등 과일류 : 사과, 귤, 복숭아, 대추등 채소류 : 미나리, 파, 마늘, 후추, 시금치, 양배추, 생강, 고추, 당근, 양파, 감자, 쑥갓등 해로운 음식 : 메밀, 호도, 계란, 고구마, 녹두, 돼지고기, 밤, 배, 배추, 보리, 쇠고기, 수박, 오이, 참외, 팥등은 피한다. * 아침 ; 찰밥, 닭찜, 감자전, 쑥갓나물, 부추김치, 사과 점심 ; 감자밥, 메기매운탕, 명태조림, 미나리, 고들빼기김치, 사과주스 저녁 ; 좁쌀밥, 양배추감자국, 병어양념구이, 연근양념조림, 귤, 인삼차.

• Journal of Intelligence and Information Systems
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• v.18 no.3
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• pp.79-96
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• 2012

As the pace of competition dramatically accelerates and the complexity of change grows, a variety of research have been conducted to improve firms' short-term performance and to enhance firms' long-term survival. In particular, researchers and practitioners have paid their attention to identify promising technologies that lead competitive advantage to a firm. Discovery of promising technology depends on how a firm evaluates the value of technologies, thus many evaluating methods have been proposed. Experts' opinion based approaches have been widely accepted to predict the value of technologies. Whereas this approach provides in-depth analysis and ensures validity of analysis results, it is usually cost-and time-ineffective and is limited to qualitative evaluation. Considerable studies attempt to forecast the value of technology by using patent information to overcome the limitation of experts' opinion based approach. Patent based technology evaluation has served as a valuable assessment approach of the technological forecasting because it contains a full and practical description of technology with uniform structure. Furthermore, it provides information that is not divulged in any other sources. Although patent information based approach has contributed to our understanding of prediction of promising technologies, it has some limitations because prediction has been made based on the past patent information, and the interpretations of patent analyses are not consistent. In order to fill this gap, this study proposes a technology forecasting methodology by integrating patent information approach and artificial intelligence method. The methodology consists of three modules : evaluation of technologies promising, implementation of technologies value prediction model, and recommendation of promising technologies. In the first module, technologies promising is evaluated from three different and complementary dimensions; impact, fusion, and diffusion perspectives. The impact of technologies refers to their influence on future technologies development and improvement, and is also clearly associated with their monetary value. The fusion of technologies denotes the extent to which a technology fuses different technologies, and represents the breadth of search underlying the technology. The fusion of technologies can be calculated based on technology or patent, thus this study measures two types of fusion index; fusion index per technology and fusion index per patent. Finally, the diffusion of technologies denotes their degree of applicability across scientific and technological fields. In the same vein, diffusion index per technology and diffusion index per patent are considered respectively. In the second module, technologies value prediction model is implemented using artificial intelligence method. This studies use the values of five indexes (i.e., impact index, fusion index per technology, fusion index per patent, diffusion index per technology and diffusion index per patent) at different time (e.g., t-n, t-n-1, t-n-2, ${\cdots}$) as input variables. The out variables are values of five indexes at time t, which is used for learning. The learning method adopted in this study is backpropagation algorithm. In the third module, this study recommends final promising technologies based on analytic hierarchy process. AHP provides relative importance of each index, leading to final promising index for technology. Applicability of the proposed methodology is tested by using U.S. patents in international patent class G06F (i.e., electronic digital data processing) from 2000 to 2008. The results show that mean absolute error value for prediction produced by the proposed methodology is lower than the value produced by multiple regression analysis in cases of fusion indexes. However, mean absolute error value of the proposed methodology is slightly higher than the value of multiple regression analysis. These unexpected results may be explained, in part, by small number of patents. Since this study only uses patent data in class G06F, number of sample patent data is relatively small, leading to incomplete learning to satisfy complex artificial intelligence structure. In addition, fusion index per technology and impact index are found to be important criteria to predict promising technology. This study attempts to extend the existing knowledge by proposing a new methodology for prediction technology value by integrating patent information analysis and artificial intelligence network. It helps managers who want to technology develop planning and policy maker who want to implement technology policy by providing quantitative prediction methodology. In addition, this study could help other researchers by proving a deeper understanding of the complex technological forecasting field.

• Journal of Korean Home Economics Education Association
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• v.24 no.2
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• pp.117-134
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• 2012

The purpose of this study was to identify the stage of concern, the level of use, and the innovation configuration of Home Economics teachers regarding creativity and personality education in Home Economics(HE) classes. The survey questionnaires were sent through mails and e-mails to middle-school HE teachers in the whole country selected by systematic sampling and convenience sampling. Questionnaires of the stages of concern and the levels of use developed by Hall(1987) were used in this study. 187 data were used for the final analysis by using SPSS/window(12.0) program. The results of the study were as following: First, for the stage of concerns of HE teachers on creativity and personality education, the information stage of concerns(85.51) was the one with the highest response rate and the next high in the following order: the management stage of concerns(81.88), the awareness stage of concerns(82.15), the refocusing stage of concerns(68.80), the collaboration stage of concerns(61.97), and the consequence stage of concerns(59.76). Second, the levels of use of HE teachers on creativity and personality education was highest with the mechanical levels(level 3; 21.4%) and the next high in the following order: the orientation levels of use(level 1; 20.9%), the refinement levels(level 5; 17.1%), the non-use levels(level 0; 15.0%), the preparation levels(level 2; 10.2%), the integration levels(level 6; 5.9%), the renewal levels(level 7; 4.8%), the routine levels(level 4; 4.8%). Third, for the innovation configuration of HE teachers on creativity and personality education, more than half of the HE teachers(56.1%) mainly focused on personality education in their HE classes; 31.0% of the HE teachers performed both creativity and personality education; a small number of teachers(6.4%) focused on creativity education; the same number of teachers(6.4%) responded that they do not focus on neither of the two. Examining the level and type of performance HE teachers applied, the average score on the performance of creativity and personality education was 3.76 out of 5.00 and the mean of creativity component was 3.59 and of personality component was 3.94, higher than standard. For the creativity education, openness/sensitivity(3.97) education was performed most and the next most in the following order: problem-solving skill(3.79), curiosity/interest(3.73), critical thinking(3.63), problem-finding skill(3.61), originality(3.57), analogy(3.47), fluency/adaptability(3.46), precision(3.46), imagination(3.37), and focus/sympathy(3.37). For the personality education, the following components were performed in order from most to least: power of execution(4.07), cooperation/consideration/just(4.06), self-management skill(4.04), civic consciousness(4.04), career development ability(4.03), environment adaptability(3.95), responsibility/ownership(3.94), decision making(3.89), trust/honesty/promise(3.88), autonomy(3.86), and global competency(3.55). Regarding what makes performing creativity and personality education difficult, most HE teachers(64.71%) chose the lack of instructional materials and 40.11% of participants chose the lack of seminar and workshop opportunity. 38.5% chose the difficulty of developing an evaluation criteria or an evaluation tool while 25.67% responded that they do not know any means of performing creativity and personality education. Regarding the better way to support for creativity and personality education, the HE teachers chose in order from most to least: 'expansion of hands-on activities for students related to education on creativity and personality'(4.34), 'development of HE classroom culture putting emphasis on creativity and personality'(4.29), 'a proper curriculum on creativity and personality education that goes along with students' developmental stages'(4.27), 'securing enough human resource and number of professors who will conduct creativity and personality education'(4.21), 'establishment of the concept and value of the education on creativity and personality'(4.09), and 'educational promotion on creativity and personality education supported by local communities and companies'(3.94).