• Title/Summary/Keyword: selection behavior

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The Effects of Hospitals' CRM Activities on Customers' Relationship States and Customers' Behavior Intention (고객지식을 활용한 병원 CRM활동이 고객관계상태 및 향후 행동 의도에 미치는 영향)

  • Kang, Soo-Young;Oh, Pyeong-Seok;Kim, Sang-Man
    • Knowledge Management Research
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    • v.12 no.3
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    • pp.39-58
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    • 2011
  • As the information from today's knowledge-based society alters the awareness of patients and provides a wider selection of medical institutions, the reality of medical institution management is struggling compared to the past. CRM was introduced to domestic hospitals as marketing strategy to dominate the competition under varying medical environment. Thus, this research invests on CRM activity types used in hospitals and the effects of CRM activities toward loyalty and switching intention. Futhermore, we investigate the mediating role of customer relationship commitment and termination in CRM activities. The subjects in this study included three hundred customers who are using hospital settings or who had experience with using the hospital settings. The researcher collected 262 survey questionnaires from May 23th, 2011 to June first. In order to evaluate the hypothesis in this study, structural equation model was analyzed by using AMOS 18.0.

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A Study on Optimal Design of Composite Materials using Neural Networks and Genetic Algorithms (신경회로망과 유전자 알고리즘을 이용한 복합재료의 최적설계에 관한 연구)

  • 김민철;주원식;장득열;조석수
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1997.04a
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    • pp.501-507
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    • 1997
  • Composite material has very excellent mechanical properties including tensile stress and specific strength. Especially impact loads may be expected in many of the engineering applications of it. The suitability of composite material for such applications is determined not only by the usual paramenters, but its impactor energy-absorbing properties. Composite material under impact load has poor mechanical behavior and so needs tailoring its structure. Genetic algorithms(GA) is probabilistic optimization technique by principle of natural genetics and natural selection and neural networks(NN) is useful for prediction operation on the basis of learned data. Therefore, This study presents optimization techniques on the basis of genetic algorithms and neural networks to minimum stiffness design of laminated composite material.

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Review of Current Design Practice for Soil-Reinforced Segmental Retaining Walls (보강토 옹벽의 설계 현황에 대한 고찰)

  • 유충식
    • Proceedings of the Korean Geotechical Society Conference
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    • 2000.09a
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    • pp.41-50
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    • 2000
  • Segmental retaining wall market in Korea has been growing dramatically since late 1990s in both engineered and non-engineered applications. Despite the inherent conservatism in the current design approaches, numerous major and minor structural problems have been reported during and after construction, covering a range of minor structural damage to total collapse. Much still needs to be investigated to fill the gap between the theory and the practice. This paper reviews several design issues with regard to the segmental retaining walls such as the selection of shear strength parameters for backfill soil, local stability, and tiered wall construction. In addition, the effects of shear strength parameters and the fundamental behavior of tiered SRWs are examined based on the results of finite element analysis. Implications of the findings from this study to current design practices were discussed in detail.

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Design of Longitudinal Prestress of Precast Decks in Continuous Bridges (연속교 프리캐스트 바닥판의 교축방향 프리스트레스 설계)

  • Shim, Chang-Su;Kim, Hyun-Ho;Ha, Tae-Yul;Jeon, Seung-Min
    • Proceedings of the Korea Concrete Institute Conference
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    • 2006.05a
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    • pp.406-409
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    • 2006
  • Serviceability resign is required to control the cracking at the joint of precast decks having longitudinal prestress in continuous composite bridges. Especially, details of twin girder bridges are complex not only due to main reinforcements and transverse prestress for the resign of long-span concrete slabs but also due to shear pockets for obtaining the composite action. This paper suggests the design guidelines for the magnitude of the effective prestress and for the selection of filling materials and their requirements in order to use precast decks for twin-girder continuous composite bridges. The necessary initial prestress was also evaluated through the long-term behavior analysis. From the analysis, existing design examples were revised and their effectiveness was estimated. When a filling material having bonding strength higher than the requirement is used in the region of high negative moment, uniform configuration of longitudinal prestressing steels along the whole span length of continuous composite bridges can be achieved resulting in simplification of details and enhancement of the construction costs.

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A Study on the Effect of Selection on Data Analytics by Auditor (감사인의 데이터 분석 기법 채택에 영향을 미치는 요인 연구)

  • Jung, Gwan Hoon;Lee, Jung Hoon;Kim, Da Som
    • Journal of Information Technology Applications and Management
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    • v.22 no.1
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    • pp.37-60
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    • 2015
  • As the dependence on information systems in enterprises has grown dramatically, the importance of implementing information systems in audit has been increased as well. However, there is a lact of about utilization of information system for audit process. Thus, this study is to investigate the factors that effect auditor's adopting Data Analytics to audit work. Through literature research and focus group interview, we added two factors that affect the behavioral intention to UTAUT model. We have selected performance expectancy, effort expectancy, social influence, facilitating conditions, anxiety, task fit, behavioral intention as variables and verified hypotheses based on survey questionnaires from auditors. As a result, it was found that performance expectations, social influence, task fit influenced the behavior intention. In Addition, we analyzed adding two variables, IT-related work experience and type of auditor as moderate variable. This study has an implication for companies to motivate implementation as well as activation of Data Analytics technique.

Model Behavior selection based on the motivation and hierarchicalized emotions. (동기와 계층화된 감정에 기반한 로봇의 행동결정)

  • 안형철;박명수;최진영
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2004.04a
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    • pp.29-33
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    • 2004
  • 본 논문에서는 인간과 엔터테인먼트 로봇의 상호작용을 위해, 동기(motivation)와 계층화된 감정(hierarchical emotion)에 기반한 행동결정 모델을 설계하였다. 감정모델은 계층화되고 학습 가능하도록 하여, 인간의 행동결정과 유사하게 동작하도록 하였다. 감정모델을 통해 로봇의 행동에 대한 인간의 반응이 학습되는데, 그 결과가 행동결정에 영향을 주어 로봇의 행동에 반영되도록 하였다. 감정모델과 함께 동기가 행동결정에 영향을 주는데, 초기에는 외부에서 주어지는 동기가 주로 행동을 결정하고, 감정모델이 학습될수록 점차 감정의 영향이 증가하여 동기와 계층화된 감정을 함께 고려하여 행동을 결정하도록 하였다. 그럼으로써, 인간과의 상호작용을 통해 정보를 축적하고 인간의 반응에 적응해나갈 수 있게 하였다

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Automatic Construction of Reactive Plans for A Box-Pushing Task of A Mobile Robot (모바일 로봇의 상자 밀어내기 작업을 위한 리엑티브 플랜의 자동 생성)

  • Cha, Byoung-Keun;Suh, Il-Hong;Lee, Sang-Hoon
    • Proceedings of the KIEE Conference
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    • 2005.10b
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    • pp.587-590
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    • 2005
  • Reactive plans for a box-pushing task of a mobile robot are automatically built up, where sequential action plans are found in a configuration space by A* algorithm for various initial configurations. Then, conjunction of conditions to associate with a same behavior are found by a back tracking algorithm. And corresponding reactive plans are generated. Finally, a clustering technique is applied to identify which reactive plan should be applied for a given perceptual condition. Several simulation results are shown to justify our proposed approach.

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BioRational Approaches for Insect Control

  • Bowers, William-S.
    • Korean journal of applied entomology
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    • v.31 no.3
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    • pp.289-303
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    • 1992
  • Investigation of the environmental impact of widespread pesticide use has revealed a virtue/vice relationship. Although many pesticides perform their function and disappear without harm to the environment, others persist beyond their useful purpose and cause direct of indirect hazard to man, domestic animals and wildlife. Concurrently, many pests have rapidly adjusted to chemical control practices through changes in behavior that avoid exposure to pesticides of throuth genetic selection for populations resistant to the toxicants. The prospect of losing control over insect herbivores and desease vectors and returning to the days of global hunger and disease is unthinkable. Fortunately, from basic studies of insect and plant biology many opportunities for the development of safe, selective and environmentally pacific strategies for insect pest management are being realized.

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Psychological Aspects of Household Debt Decision: The Use of the Heckman's Procedure

  • Lee, Jong-Hee
    • International Journal of Human Ecology
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    • v.9 no.1
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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.

Accelerating technique of postbuckling analysis for stiffened composites shell structures (보강된 복합재료 쉘구조물에 대한 좌굴 후 거동해석의 가속화 기법연구)

  • Oh Se Hee;Kim Chun Gon;Kim Kwang Soo
    • Proceedings of the Korean Society For Composite Materials Conference
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    • 2004.10a
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    • pp.47-50
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    • 2004
  • It is very important that the analysis of postbuckling characteristics for stiffened composite structure. Damage tolerance design concept has been imported in many aerospace structures design to increase the structural efficiency and material failure is an inevitable process in postbuckling behavior. These design concepts are very efficient but consume very much calculation time in analytical process. The proper analysis method for reducing calculation time was researched and the total analysis time was reduced. A selection of proper element, the large load increments in linear response region, and the termination of analysis for unnecessary region were imported in the analysis and about $70\%$ time reduction was achieved with keeping a high accuracy of results.

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