• 한국경영과학회지
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• 제11권2호
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• pp.51-68
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• 1986

The effects of goal setting in the context of Multiple Criteria Making (MCDM) are classified into two types : internal and external. In the internal models, the impact of the changed goal is limited only to the other goals in MCDM model. By contrast, in the external models, the impact is limited to the factors not included in the MCDM model. In fact, most real world examples of goal setting have the nature of mixed models. To assist in the goal setting process, the framework named Goal Setting Support (GSS) is developed. The GSS helps decision-makers for mixed models to 1) make internal trade-offs in a way that guarantees non-dominancy after the trade-ofs, and 2) evaluate achieved goals systematically. The GSS can be used in creating Decision Support Systems that will allow interactive goal setting.

• 한국콘텐츠학회논문지
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• 제12권10호
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• pp.439-452
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• 2012

본 연구는 우리나라의 중소기업을 대상으로 경영자의 기업가 정신(혁신 진취성, 위험감수성), 조직구성원의 집단목표지향성(학습목표지향성, 성과목표지향성), 조직효능감의 최적구조모형을 규명할 목적으로 수행되었다. 최적구조모형의 검증결과를 요약하면 다음과 같다. 첫째, 경영자의 기업가의 혁신 진취성은 조직구성원의 집단학습목표지향성과 집단성과목표지향성에 정(+)의 영향을 미치고, 위험감수성은 영향을 미치지 않고 있다. 둘째, 조직구성원의 집단학습목표지향성과 집단성과목표지향성은 조직효능감에 정(+)의 영향을 미치고 있다. 셋째, 경영자의 혁신 진취성은 조직구성원의 집단목표지향성(학습목표, 성과목표지향성)을 매개로 조직효능감에 정(+)의 영향을 미치고 있다. 연구표본은 서울/경기/제주 소재의 중소기업 경영자 162명과 종업원 486명을 대상으로 하였으며, 종업원 응답의 처리는 각각의 기업별로 3개 부서에서 측정한 평균값을 162개 기업에 적용하였다. 연구방법은 설문지법을 활용하였으며, 연구모형의 검증을 위해 공분산구조분석을 실시하였다. 연구결과에 따른 시사점은 다음과 같다. 첫째, 리더십 범주에 머물렀던 목표지향성의 선행변수를 기업가 정신으로 확장하여 실무적용 가능성을 높였다. 둘째, 그동안 개인목표지향성과 조직효능감에 머물렀던 연구 범주를 집단목표지향성으로 확대하였다. 셋째, 기업가정신과 조직효능감 사이에 또 다른 심리적 메커니즘의 작용 가능성을 제시하였다.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2006년도 춘계공동학술대회 논문집
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• pp.348-353
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• 2006

Autonomous and intelligent resource model (AIR-model) defines a building-block of complex systems to pursue value creation by means of diverse resources, referred to as an AIR-unit, and presents a collaboration model with the AIR-units. An AIR-unit represents a piece of resources, such as machines, labor, raw materials, and other assets, considered individually by a complex system as means to accomplish given tasks. It is defined with its own service capability and a goal, and pursues achieving the goal by means of the capability. Moreover, an Air-unit is equipped with autonomy and intelligence, whereby it makes a decision on its course of action on its own initiative. Air-units collaborate on system operations with each other through goal-oriented negotiations. In this research, distinctive features of the AIR-model are addressed and described in detail. Principal components of the AIR-model are also designed via object-oriented modeling techniques. A prototype system based on the AIR-model is finally presented as an embodiment tool of a fractal manufacturing system (FrMS).

• 산업경영시스템학회지
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• 제18권34호
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• pp.185-191
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• 1995

In this research, a mathematical programming model is developed for the economic modeling of sampling plans based on two evaluation criteria : the outgoing quality and the average total inspection cost A fuzzy goal programming model and its solution procedure are proposed for the managers whose management objectives on the two evaluation criteria are not rigorous. To study the sensitivity of quality characteristic dependence on the resulting inspection plans, a numerical example is solved several times for a dependent model.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제16권2호
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• pp.95-103
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• 2016

In a dynamic environment autonomous robots often encounter unexpected situations that the robots have to deal with in order to continue proceeding their mission. We propose an adaptive goal-based model that allows cyber-physical systems (CPS) to update their environmental model and helps them analyze for attainment of their goals from current state using the updated environmental model and its capabilities. Information exchange approach utilizes Human-Agent-Robot-Machine-Sensor (HARMS) model to exchange messages between CPS. Model validation method uses NuSMV, which is one of Model Checking tools, to check whether the system can continue its mission toward the goal in the given environment. We explain a practical set up of the model in a situation in which homogeneous robots that has the same capability work in the same environment.

• Human Ecology Research
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• 제55권6호
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• pp.675-687
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• 2017

This study is to apply a goal-directed model for ethical consumption behavior and to see which factors influence consumers' boycott intention. We identify factors related to a goal-directed model for consumers, level of ethical consumption tendency, and boycott desire; in addition, factors that affect boycott intentions were also analyzed. The results of this study are as follows. First, consumers' boycott intentions are not high and public intention motivation is relatively low. Second, negative anticipated emotion shows an indirect effect with boycott desire as a mediator. Third, ethical consumption tendency has a significant effect on boycott desire and boycott intention. Therefore, we have to let consumers know that boycott actually shows a consumer's right and that it is also necessary to conduct various ethical consumption education.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권8호
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• pp.4174-4190
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• 2019

IEC 62304 is a standard for the medical device software lifecycle. Developers must develop software that complies with all specifications in the standard for licensing. However, because the standard contains not only a large number of specifications, but also domain-specific information and association relationships between specifications, it requires considerable effort and time for developers to understand and interpret the standard. To support developers, this paper presents a method for extracting the contents of the IEC 62304 standard as a goal model, which is the core methodologies of requirements engineering. The proposed method analyzes the grammar of the standard to robustly extract complex structures and various information from standard specifications and define rules that extract goals and links from syntactic element units. We validated the actual extraction process for the standard document experimentally. Based on the extracted goal model, developers can intuitively and efficiently comply with the standard and track specific information within the medical software and standard domains.

• 통합자연과학논문집
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• 제4권2호
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• pp.158-165
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• 2011

Statistics by structural equation modeling techniques were used to assess a model of chemistry learning strategy based on performance goal orientation. In the optimal Model III of this research, Performance-approach goal was positively related to the use of learning strategy(p<.05) and achievement need(p<.05). Performance-avoidance goal was negatively related to learning strategy(p<.05) and was positively related to self-handicapping tendency(p<.15). Performance-approach goal affected learning strategy indirectly through achievement need(p<.05). Use of achievement need was positively related to learning strategy(p<.05) and self-handicapping tendency(p<.35). Self-handicapping tendency affected learning strategy negatively(p<.05). Implications of these findings for learning strategy in chemistry education are discussed.

• 대한화학회지
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• 제57권1호
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• pp.147-158
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• 2013

본 연구는 화학교육의 동기전략에 영향을 끼치는 학습관련 변인들의 인과관계에 대한 최적 모형을 찾고자 한다. 이를 위하여 광주광역시 소재 G와 I 고등학교에서 화학교육에 참여한 487명을 대상으로 하였다. 동기전략에 영향을 주는 학습관련 변인들의 경로모형을 탐색하기 위해, '자기효능감, 성취욕구, 지능신념'이 목표지향성을 매개로 하여 동기전략인 자기핸디캡경향과 학습전략으로 가는 모형을 Model I로 설정했다. 그리고 목표지향성을 근본 동기변인으로 하고 '자기효능감, 성취욕구, 지능신념'을 매개로 하여 '자기핸디캡경향과 학습전략'에 이르는 모형을 Model II로 설정했다. 이들 기본모형들을 기반으로 하여, 목표지향성(숙달목표, 수행접근목표 및 수행회피목표), 자기효능감, 성취욕구, 지능신념, 자기핸디캡경향 및 학습전략 간에 경로모형을 알기위해 통계분석을 통해 단계적으로 살펴보았다. 그 결과 Model I과 Model II 중에서 Model II가 선택되었고, 이 모형의 주요한 통계적 적합도 지수들을 확인하고 분석하면서 경로의 추가 및 삭제를 했고, 5차 수정한 결과, Model II-5의 경로모형이 본 연구의 최적 모형으로 채택되었다. 이 최적 모형을 분석한 결과, ${\chi}^2$의 p값도 0.267를 보임으로써 Model II-5가 측정자료와 아주 잘 일치한 모형임을 알 수 있었다. 본 연구에서는 15개의 경로들이 통계적으로 p <.05에서 유의미하게 학습전략에 영향을 주고 있음을 알 수 있다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권3호
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• pp.1477-1491
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• 2017

Inspired by the multi-scale nature of hippocampal place cells, a biologically inspired model based on a multi-scale spatial representation for goal-directed navigation is proposed in order to achieve robotic spatial cognition and autonomous navigation. First, a map of the place cells is constructed in different scales, which is used for encoding the spatial environment. Then, the firing rate of the place cells in each layer is calculated by the Gaussian function as the input of the Q-learning process. The robot decides on its next direction for movement through several candidate actions according to the rules of action selection. After several training trials, the robot can accumulate experiential knowledge and thus learn an appropriate navigation policy to find its goal. The results in simulation show that, in contrast to the other two methods(G-Q, S-Q), the multi-scale model presented in this paper is not only in line with the multi-scale nature of place cells, but also has a faster learning potential to find the optimized path to the goal. Additionally, this method also has a good ability to complete the goal-directed navigation task in large space and in the environments with obstacles.