• 경영과학
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• 제25권2호
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• pp.1-12
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• 2008

In the ultimatum game two players have to divide a certain amount of money between them. One player is the allocator and proposes a division of the money. The other is the recipient and can either accept or reject the proposed division. If the recipient accepts, the money is divided as proposed. If the recipient rejects, however, both players receive nothing. Purchase decisions could be classified on two basic factors (or dimensions) : involvement and think/feel in the FCB grid model. In this study we studied the influences of the two factors in purchase decisions on the choice of strategy (or propensity to fairness) in the ultimatum game. The empirical study showed that a decision maker chooses rational strategy more frequently when he (or she) is thinkful (or cognitive) in high involvement level.

• Journal of Information Technology Applications and Management
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• 제17권3호
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• pp.43-56
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• 2010

Completely Automated Public Turing test to tell Computers and Humans Apart or CAPTCHA has received remarkable attention. Deciphering distorted texts is still a human task. The current CAPTCHA mainly requires users to read English alphabets. As such, Thai CAPTCHA may be the choice for Thai online practitioners. However, no published work has examined how Thai online practitioners perceive CAPTCHA. This study thus attempts to fill this void. Based on the 112 number of usable online questionnaire submission, Thai online practitioners are all aware of CAPTCHA. Also, nine out of ten samples identified correctly the prime benefits of CAPTCHA. Using exploratory factor analysis, their attitude towards CAPTCHA was classified into two dimensions. They perceived (1) drawback of general CAPTCHA and (2) feasibility of Thai CAPTCHA. In addition to extending our insight into application of CAPTCHA, policy-makers responsible for electronic commerce in Thailand could initiate plans in response to Thai online practitioners' perception.

• 한국의류산업학회지
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• 제9권2호
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• pp.188-196
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• 2007

Fashion business is undergoing a severe competition because of the various consumers' needs, over production, and short product life styles. The purpose of this study is to investigate the role of personalization in apparel shopping. Characterizing the notion of the personalization typology, investigating the effect of personalization to different consumers, and providing useful issues to draw more target consumers are to be accessed. For empirical research a survey method was employed. A measure for personalization in apparel shopping was developed based in existing scale items and pilot study. Consumers responded highly on design personalization in shopping apparel products. Factor analysis extracted six dimensions of apparel product personalization. Six types of personalization were: "personalized advice", "personalized design choice", "personalized fit", "sales-promotion personalization", "personalized costomer relationship management" and "in-store personalization".

• Bulletin of the Korean Chemical Society
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• 제31권9호
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• pp.2565-2570
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• 2010

The orthorhombic $MgB_2C_2$ structure contains well-separated parallel graphite-like $B_2C_2^{2-}$ layers which extend infinitely in two dimensions. Three possible ways to distribute B and C atoms in the hexagonal sublattice sites are adopted. Band structures for the hypothetical distribution patterns are examined to assess the electronic stability of these phases and to account for the observed arrangement by means of extended Huckel tight-binding calculations. The preferred choice is the layer with B and C alternating strictly so that B is nearest neighbor to C and vice versa. A rationale for this is given. Due to the alternation of B and C within the honeycomb layers, $MgB_2C_2$ is a band insulator, which through partial substitution of Mg with Li, is predicted to turn metallic with holes in the $\sigma$ bands at the Fermi level.

• 보건행정학회지
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• 제13권1호
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• pp.46-68
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• 2003

In the model tested here, individual innovative work behavior is considered as the outcome of two antecedent factors-empowerment and organizational supports. The relationships between those variables and innovative work behavior are analyzed form the data collected through a questionnaire survey of 389 employees in five general hospitals. Results of multiple regression analyses show that three dimensions of empowerment-meaning, competence, and impact, and supports from organizational culture have significant effects on innovative work behavior whereas the effects of choice dimension of empowerment and managerial supports are not significant. These results emphasize the importance of empowerment and innovation oriented organizational culture for individual members' innovative work behavior. Theoretical and practical Implications and suggestions for future research are discussed.

• 대한산업공학회지
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• 제23권1호
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• pp.77-94
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• 1997

Reengineering, also known as a business process redesign, involves a fundamental rethinking, and often a radical redesign, of an entire business process or a set of process to achieve dramatic improvements. The central paradox of reengineering is that its own advantages constitute the greatest threat to its success. For reengineering to be the right choice, the organization must have real capacities to embrace changes across the board. The key is to begin with, and to preserve, a vision of the new order, which drives this structured approach, and is in turn calibrated by that approach. However, in most cases of these calibrations, the empirical evidences on the effect of determinants in the reengineering are required. Seemingly, the research results in this area are scarcely verified. This article tried to search the effect of four dimensions of the reengineering toward the performance of reengineering. The results showed that the factors of the organization behavior and of the methodology/operation had more affected on the performance.

• 한국전기전자재료학회논문지
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• 제11권12호
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• pp.1084-1090
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• 1998

As device sizes are scaled down to submicron dimensions, planarization technology becomes increasingly important for both device fabrication and formation of multilevel interconnects. Chemical mechanical polishing (CMP) has emerged recently as a new processing technique for achieving a high degree of planarization for submicron VLSI applications. The polishing process has many variables, and most of which are not well understood. The factors determine the planarization performance are slurry and pad type, insert material, conditioning technique, and choice of polishing tool. Circuit density, pattern size, and wiring layout also affect the performance of a CMP planarization process. This paper presents the results of studies on CMP process window characterization for 0.35 micron process with 5 metal layers.

• Journal of the Korean Statistical Society
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• 제9권2호
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• pp.145-172
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• 1980

Draper and Lawrence (1965a) have given mixture designs for three factors when all the mixture components can vary on the entire factor space so that the region of interest is an equilateral triangle in two dimensions. In this paper their work is extended to the cases when the region of interest is an echelon, parallelogram, pentagon or hexagon, because of the restirctions imposed on some or all of the mixture components. The principles used in the choice of appropriate designs are those originally introduced by Box and Draper(1959). It is assumed that a response surface equation of first order is fitted, but there is a possibility of bias error due to presence of second order terms in the true model. Minimum bias designs for several cases of restricted regions of interest are illustrated.

• International Journal of Computer Science & Network Security
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• 제22권11호
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• pp.265-271
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• 2022

Social media is a form of communication based on the internet to share information through content and images. Their choice of profile images and type of image they post can be closely connected to their personality. The user posted images are designated as personality traits. The objective of this study is to predict five factor model personality dimensions from profile images by using deep learning and neural networks. Developed a deep learning framework-based neural network for personality prediction. The personality types of the Big Five Factor model can be quantified from user profile images. To measure the effectiveness, proposed two models using convolution Neural Networks to classify each personality of the user. Done performance analysis among two different models for efficiently predict personality traits from profile image. It was found that VGG-69 CNN models are best performing models for producing the classification accuracy of 91% to predict user personality traits.

• 한국방재학회 논문집
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• 제9권3호
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• pp.117-126
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• 2009

유역종합치수계획 수립 시 유역 내 적용이 가능한 구조물적 비구조물적 치수계획은 매우 광범위하고, 특히 그 중에서도 구조물적 홍수방어 시설들의 특성은 매우 다양하다. 이들을 조합하여 유역의 홍수 저감능력을 최대화 하는 최적대안을 선정하는 것은 쉬운 일이 아니며, 현재 구조물적 홍수방어 후보대안에 대한 적절한 평가 기준이나 다양한 홍수방어 후보대안들 중 최적대안의 선정에 관한 지침 또한 미흡한 실정이다. 본 연구에서는 유역종합치수계획의 구조물적 홍수방어 후보대안들에 대한 치수경제성 및 정책성 평가 결과를 바탕으로 최적대안을 선정하는 과정에서, 의사결정기법 중의 하나인 계층화분석기법을 도입하여 적용함으로써 평가항목들 간의 가중치 결정 및 최적대안을 도출하는 과정을 예시하였다. 후보대안들 각각의 하위 세부 평가항목들의 가중치 결정에는 계층화분석기법 전용 프로그램인 Expert Choice 11.5를 활용하였으며, 연구 결과를 바탕으로 유역종합치수계획의 구조물적 홍수방어 최적대안 선정에 있어 보다 표준화된 절차를 제시하였다.