• 유통과학연구
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• 제21권9호
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• pp.103-114
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• 2023

Purpose: This paper aims to assess psychological heuristics' effectiveness on cumulative returns after significant stock price changes. Specifically, it compares availability and anchoring heuristics' empirical validity due to conflicting stock return predictions. Research Design, Data, and Methodology: This paper analyzes stock price changes of Korean distribution industry stocks in the KOSPI market from January 2004 to July 2022, where daily fluctuations exceed 10%. It evaluates availability heuristics using daily KOSPI index changes and tests anchoring heuristics using 52-week high and low stock prices as reference points. Results: As a result of the empirical analysis, stock price reversals did not consistently appear alongside changes in the daily KOSPI index. By contrast, stock price drifts consistently appeared around the 52-week highest stock price and 52-week lowest stock price. The result of the multiple regression analysis which controlled for both company-specific and event-specific variables supported the anchoring heuristics. Conclusions: For stocks related to the Korean distribution industry in the KOSPI market, the anchoring heuristics theory provides a consistent explanation for stock returns after large-scale stock price fluctuations that initially appear to be random movements.

• 아태비즈니스연구
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• 제14권1호
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• pp.265-279
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• 2023

Purpose - The purpose of this paper is to compare and review behavioral economics models that explain stock price changes after large-scale price shocks in the Korean stock market and to find a suitable model. In this paper, among the theories reviewed, it was confirmed that the anchoring heuristics theory has high explanatory power for stock prices after large-scale stock price fluctuations. Design/methodology/approach - This paper conducts an event study on stock price shocks in which the individual stocks that make up the KOSPI200 index show more than 10% fluctuation on a daily basis. In order to materialize the abstract predictions of heuristics theories in a varifiable form, this paper uses the daily stock price index change as a reference point for availability heuristics, and uses the 52-week highest and lowest price as reference point for anchoring heuristics. Research implications or Originality - As a result of the empirical analysis, the stock price reversals did not consistently appear for changes in the daily index. On the other hand, the stock price drifts consistently appeared around the 52-week highest and the 52-week lowest price. And in the multiple regression analysis that controlled for company-specific and event-specific variables, the results that supported the anchoring heuristics were more evident. These results suggest that it is possible to establish an investment strategy using large-scale price change in Korean stock market.

• 유통과학연구
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• 제17권10호
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• pp.73-81
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• 2019

Purpose - The purpose of this study was to examine the effect of the heuristic type of consumers affecting purchase decision making and the intention of shopping value in their relationship to derive mobile social commerce purchase promotion plans. Research design, data, and methodology - A research model was constructed to relate the mediating effect of shopping value between heuristic types and purchase intentions. A total of 233 valid questionnaires were used for analysis for users using mobile social commerce. The statistical program used SPSS 24.0 and AMOS 24.0, and correlation analysis, regression analysis, and 3-step parametric regression analysis were used for the analysis. Results - The results of the analysis showed that representativeness heuristics, availability heuristics, adjustment heuristics, and affect heuristics had a statistically significant effect on the utilitarian value and the hedonic value. On the other hand, affect heuristics among the heuristic types were found to have the greatest influence not only on the utilitarian value but also on the hedonic value. The two types of shopping value were found to be partially mediated between representativeness heuristics and purchase intentions, between adjustment heuristics and purchase intentions, and fully mediated between availability heuristics and purchase intentions, affect heuristics and purchase intentions. Conclusions - These findings suggest that mobile social commerce companies should check in advance how consumer heuristic types affect purchase intentions. In particular, affect heuristics are caused by consumers' emotional mood such as mood or external stimulus being more important to decision making than rational decision making. Therefore, the result of this study suggests that it can be an important factor to secure the competitiveness that the potential customers who access to use mobile social commerce can feel enough fun and enjoyment in the platform provided by the company. It is also worth paying attention to the utilitarian and hedonic values perceived by consumers. This is because the judgment regarding the economic, convenience and important information provided by the mobile social commerce users affects the purchase intention through the trust of the information, past use, and shopping experience displayed on the mobile social commerce platform.

• 대한산업공학회지
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• 제43권2호
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• pp.135-146
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• 2017

This paper considers redundancy optimization problems of multi-level systems and reviews existing papers which proposed various optimization models and used different algorithms in this research area. Three different mathematical models are studied: Multi-level redundancy allocation (MRAP), multiple multi-level redundancy allocation, and availability-based MRAP models. Many meta-heuristics are applied to find optimal solutions in the several optimization problems. We summarized key idea of meta-heuristics applied to the existing MARP problems. Two extended models (MRAP with interval reliability of units and an integrated optimization problem of MRAP and preventive maintenance) are studied and further research ideas are discussed.

• 경영과학
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• 제26권1호
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• pp.209-223
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• 2009

In this paper, an analysis problem of repair levels and spare part allocation for MIME(Multi indenture multi echelon) systems is studied using simulation and meta-heuristics. We suggest a method to determine simultaneously repair levels and spare parts allocation to minimize the life cycle cost of MIME system under availability constraint. A simulated annealing method is used to analyze the repair levels and genetic algorithm is used to obtain the optimal allocation of spare parts. We also develop a simulation system to calculate the life cycle cost and system availability. Some numerical examples are also studied.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회/대한산업공학회 2005년도 춘계공동학술대회 발표논문
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• pp.517-522
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• 2005

This paper addresses scheduling heuristics for an assembly job-shop that includes at least an assembly process throughout its processes. The assembly job shop has certain characteristics not only considering the precedence relationship between the processes but also considering the processing progress between the parts. In addition, it probably presents a different processing time for the same product according to the order of processes and the point of workable time, due to the difference in the availability of equipments. The paper proposes several priority-based dispatching rules that consider these characteristics of the assembly job-shop, aiming to minimize the total tardiness of products in the shop floor. Computational tests showed that job due date based priority rules significantly outperform existing priority rules in terms of total tardiness.

• Nuclear Engineering and Technology
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• 제53권3호
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• pp.825-832
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• 2021

A simulation-based approach is proposed to study the protective actions taken by residents during nuclear emergencies using cognitive findings. Human perception-based behaviors are not heavily incorporated in the evacuation study for nuclear emergencies despite their known importance. This study proposes a generic framework of perception-based behavior simulation, in accordance with the ecological concept of affordance theory and a formal representation of affordance-based finite state automata. Based on the generic framework, a simulation model is developed to allow an evacuee to perceive available actions and execute one of them according to Newton's laws of motion. The case of a shadow evacuation under nuclear emergency is utilized to demonstrate the applicability of the proposed framework. The illustrated planning algorithm enables residents to compute not only prior knowledge of the environmental map, but also the perception of dynamic surroundings, using widely observed heuristics. The simulation results show that the temporal and spatial dynamics of the evacuation behaviors can be analyzed based on individual perception of circumstances, while utilizing the findings in cognitive science under unavoidable data restriction of nuclear emergencies. The perception-based analysis of the proposed framework is expected to enhance nuclear safety technology by complementing macroscopic analyses for advanced protective measures.

• 한국통신학회논문지
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• 제31권5C호
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• pp.519-533
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• 2006

IEEE 802.15.4 저속 무선 개인망 표준에서 기술하고 있는 채널의 숫자는 같은 지역 내에서 많은 수의 개인망을 동시에 운용하기에는 매우 부족하다. 이러한 제한을 해결하기 위해서, 우리는 많은 개인망이 공존하는 경우 가용한 채널의 숫자를 늘릴 수 있는 가상 채널(Virtual Channel)이라는 개념을 소개한다. 기본적으로 가상 채널은 이미 다른 개인망에 의해 점유된 논리적 채널 속에의 비활성 구간 속에 슈퍼 프레임을 위치시키는 방법을 통해 새롭게 만들어 지는 채널을 가리킨다. 이러한 가상 채널을 사용하여 하나의 채널 내에 공존하는 개인망들의 공존능력을 최대화하기 위하여 이 논문에서는 충돌 수퍼프레임 스케줄러(Least Collision-Scheduler)와 복잡도가 줄어든 휴리스틱 알고리즘을 제안한다. 그리고 다수의 채널이 주어졌을 경우, 주어진 채널을 효율적으로 관리하는 가상채널 선택기(Virtual Channel Selector)를 제안한다. 부가적으로, 공존하는 많은 개인망들 간의 비동기화 문제를 해결하기 위한 간단하고 실제적인 동기화 기술을 고안한다. 우리는 컴퓨터 시뮬레이션을 통해서 이러한 가상 채널 기법을 사용할 경우 개인망의 공존 능력에 있어 획기적인 개선을 이룰 수 있음을 확인하였다.

• 대한토목학회논문집
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• 제30권4D호
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• pp.433-442
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• 2010

최근 기능 인력의 건설현장 기피 현상으로 인해 숙련된 기능을 지닌 인력 양성이 더욱 힘들어지고 있으며 이에 대한 해결책으로 건설장비의 자동화 및 정보화 기술이 대두되고 있다. 특히 주로 기계화로 시공이 수행되는 토공은 도로, 공항, 단지조성등과 같이 대부분의 토목 및 건축 공사에 필요한 가장 기본적인 작업이며 굴삭기는 이런 작업에서 범용으로 활용되어 이른바 '지능형' 굴삭기의 필요성 두드러지고 있다. 지능형 굴삭기는 기능공이 탑승하지 않은 채 원격 또는 자동으로 전반적인 토공 작업을 수행할 수 있는 굴삭기를 일컫는다. 본 연구는 지능형 굴삭기 개발을 위한 요소기술로서 굴삭 작업자의 노하우를 반영하여 자동적으로 굴삭기 이동경로를 생성하기 위한 방법론을 제시하는 것을 목적으로 하고 있다. 즉, 수학적인 최적화 관점에 국한하지 않고 현장에서 굴삭기 운전자의 주된 의사결정 요소로 파악된 이동거리, 자연배수 방향, 굴삭방향의 연속성의 중요도를 반영하여 최적의 이동경로를 생성시켰다. 굴삭기가 작업하는 전체 구간을 단위 셀로 나누고, 셀들에 의하여 생성된 네트워크와 셀간 이동비용을 입력값으로 하여 몇 가지 네트워크 탐색 알고리즘을 사용하여 소비용의 이동경로를 파악하도록 하였다. 본 연구에서 제시된 방법론은 실제 현장에서 굴삭기 운전자가 작업을 하기 위하여 의사결정을 하는 요소를 반영하여 굴삭기의 이동경로를 결정함으로 인해 현장 적용성을 높였다는 데 그 차별성과 의미가 있다.