• 산경연구논집
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• 제11권6호
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• pp.19-28
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• 2020

Purpose: Current study aimed at exploring the effects of ambient anger versus sadness on motive type and coping strategy type when consumers make decision. It focused on whether the negative affects of the anger and the sadness differentially induce approach versus avoidance motive at the place of making decision, and also explored the coping strategy differences between the consumers under the anger and those under the sadness, that is, which strategy is more used between problem-focused strategy and affect-focused strategy when they are under each negative affect. Research design, data and methodology: The experimental groups were divided into two types of group such as the anger-felt group and the sadness-felt group. The experiment was performed with the between-subjects design based on the anger and the sadness. Questionnaire data were collected from undergraduate students assigned to each of the anger group and the sadness group operated by the scenario method, and the data were used to verify research hypotheses by t-test. Results: - First, the anger induced the approach motive more rather than the avoidance motive in making decision. Second, to cope the negative affects, consumers under the anger used problem-focused strategy more than affect-focused strategy, while those under the sadness used affect-focused strategy more than problem-focused strategy. Therefore, this article contributes to the theory related to motive and making decision taken place to consumers under ambient negative emotions. Conclusions: Focusing on the results of this study, there could be managerial implications to brand or product marketing managers. Checking which affect consumers previously felt between anger and sadness when they are under negative affects is at issue to the brand or product marketers when they appeal their brand or product to the consumers. The marketers should build and communicate the messages about their product or brand in the respect of the points of showing problem solution or the best way to handle things to appeal the consumers under the anger. And they should develop and communicate the messages about their product or brand emphasizing the aspects of letting consumers' sad feelings out somehow or controlling their emotions to the consumers under sadness.

• 한국기술혁신학회:학술대회논문집
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• 한국기술혁신학회 2017년도 춘계학술대회 논문집
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• pp.219-219
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• 2017

This study aims at examining each firm's decision-makings of complex product and system (hereafter CoPS) innovation strategy, so that it tries to reveal the nature and role of CoPS innovations strategy. And it designed a comparative case study along with qualitative methods, by having two mobile operators' digital rights management (hereafter DRM) innovation in South Korea's digital music service industry. Through literature review, this study formulated three research propositions: (i) Each firm's decision-makings of CoPS innovations strategy are analytical negotiation process among economic actors in an industry; (ii) Each firm's market power originated from its market share from the installed base through network effect and switching cost influence decision-makings of CoPS innovation strategies; (iii) Each firm's decision-makings of different CoPS innovation strategies are related to their intension of achieving better market power, consequently dominant design. Through empirical examination of two mobile operators' decision-makings of DRM innovation strategy, this study empirically verified three research propositions.

• 한국콘텐츠학회논문지
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• 제21권9호
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• pp.458-470
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• 2021

한국의 정책 현실에서는 사회적으로 큰 이슈가 되지만 막상 정책 결정이 이루어지지 않는 경우가 많이 있다. 이렇게 정책 결정이 지연되는 이유로는 적정한 정책 절차를 거치기 위해서 지연되는 경우, 이해관계자의 동의가 이루어지지 않아 지연되는 경우 등도 존재하지만, 이와 같은 사유만으로 정당화되지 않는 정책 지연도 다수 발생하고 있다. 본 연구는 현재 한국의 정책 결정 과정에서 정당화되지 않는 정책 지연은 정부에 의한 의도적인 무의사결정으로 설명할 수 있다는 점을 제시하고자 하였다. 이에 대한 사례로 상암동 롯데복합쇼핑몰을 제시하고, 상암동 롯데복합쇼핑몰 정책 과정을 무의사결정의 시각에서 분석하였다. 엘리트층의 존재, 목적, 정책수단, 정책과정, 결과 등의 요소들을 기반으로 분석한 결과 상암동 롯데복합쇼핑몰 건립 지연 사례는 정부의 적극적이고 전략적인 무의사결정에 의한 것으로 추정될 수 있었다. 소극행정과 구분되는 정부의 전략적인 무의사결정에 대해 향후 다양한 검토가 이루어질 필요가 있다.

• 대한안전경영과학회지
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• 제3권2호
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• pp.133-144
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• 2001

This article deals with the multiple alternative proposal of Strategy. when Decision makers meet a very complex and important problems to take a good choice. It might not be easy that we make a decision and accept the decision as an exact result of analysis at a complication and uncertain situation. Although the decision under unpredictable state is many existence and each field is classified to support it. he can not provide exact estimations and be able to specify a result and forecasting. This is the reason why the original research use Statistical Survey method and Visual Decision Making Process(VDMP) to improve decision analysis method. Therefore, Our research suggests that the VDMP utilized in the strategic decision making situation as a group decision adding tool, can be applied in the development of a process vision and implementation plan. as a result, researcher describe step by step the process of VDMP.

• Journal of the Korean Data and Information Science Society
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• 제18권4호
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• pp.985-994
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• 2007

We note that the time of adolescents is very important time for obtaining informations about their jobs, exploring and making appropriate their career decision. In order to understand the career decision level of adolescents, we needed a study on effects of personal variables and family variables affecting the career decision level. For this, we provide direct, indirect and total effects of family variables and personal variables on the career decision level using the path analysis. Therefore, in this study, we give the real usefulness for making a different diagnosis and strategy solving some problems of career decision level.

• Journal of Information Technology Applications and Management
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• 제28권1호
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• pp.13-31
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• 2021

The purpose of this study is to find the factors that influence big data characteristics on decision satisfaction and utilization behavior, analyze the extent of their influence, and derive differences from existing studies. To summarize the results of this study, First, the study found that among the three categories that classify the characteristics of big data, qualitative attributes such as representation, purpose, interpretability, and innovation in the value innovation category greatly enhance decision confidence and decision effectiveness of decision makers who make decisions using big data. Second, the study found that, among the three categories that classify the characteristics of big data, the individuality properties belonging to the social impact category improve decision confidence and decision effectiveness of decision makers who use big data to make decisions. However, collectivity and bias characteristics have been shown to increase decision confidence, but not the effectiveness of decision making. Third, the study found that among the three categories that classify the characteristics of big data, the attributes of inclusiveness, realism, etc. in the integrity category greatly improve decision confidence and decision effectiveness of decision makers who make decisions using big data. Fourth, it was analyzed that using big data in organizational decision making has a positive impact on the behavior of big data users when the decision-making confidence and finally, decision-making effect of decision-makers increases.

• 한국정보시스템학회지:정보시스템연구
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• 제18권3호
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• pp.135-154
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• 2009

As the knowledge is recognized as a core factor of organization's competitiveness and creation of value added, the importance of knowledge management is also increased. To achieve the successful knowledge management, it is important to establish strategy that consider essential purpose of knowledge management such as creating and sharing of knowledge resource, improving performance, and continuing organizational innovation within the organization and influence factor inside and outside of organization. Until now, however, the research for knowledge management strategy was mostly limited to the statistical analysis based on the unilinear causality model, and systematic access and analysis that consider interaction and feedback structure between factors. In this paper, we developed the novel decision-making framework for successful strategy establishment by applying the analytic network process(ANP). Specifically. we derive clusters and components to decide the interaction and feedback structure between the elements of knowledge management by literature studies. And we produced relative importance and preference of clusters, components and alternatives dealing with feedback structure through the survey of experts in the field or related one of knowledge management. In result of this study, we expect that it will help the knowledge officer to decide establishing knowledge management strategy.

• 산업공학
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• 제13권1호
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• pp.17-28
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• 2000

As knowledge has been recognized as a new resource in gaining organizational competitiveness, Knowledge Management (KM) is suggested as a method to manage and apply knowledge for business management. KM research, however, has focused on identifying, storing, and distributing the transaction-related knowledge in an organization. There has been little research on applying the knowledge to decision-making or strategy development that is the main task of business management. The application of knowledge to decision making has higher impact on organizational performance rather than just the knowledge management for process transaction. In this research, we suggest System Dynamics (SD) for the knowledge-based decision-making. Based on the modeling method of SD, we can translate partial and implicit knowledge resident in individual's mental model into organized explicit knowledge. The simulation test of the organized knowledge model enables decision-makers to understand the structure of the target problem and its behavior mechanism, which facilitates effective decision-making. We will compare the proposed method and other KM methods and discuss this research based on the application case to a real telecommunication company.

• 한국재난정보학회 논문집
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• 제12권2호
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• pp.176-180
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• 2016

The full extent of damage depend greatly on the quick and rational decision making by the incident commander soon after the disaster. The decision that everybody should wait by the captain, not to enter into the ship by the first dispatched incident commander, broadcasting failure have brought about a huge loss of life at Sewol cruise ship incident. Thus this study reviews the training and education system supporting the rational crisis decision making performed by the incident commander to cut off the expansion of disaster which is caused by the failure of the incident situation awareness and the decision making described above.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1998년도 춘계학술대회 학술발표 논문집
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• pp.127-130
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• 1998

In this paper, we propose a method of cooperative control(T-cell modeling) and selection of group behavior strategy(B-cell modeling) based on immune system in distributed autonomous robotic system(DARS). Immune system is living body's self-protection and self-maintenance system. Thus these features can be applied to decision making of optimal swarm behavior in dynamically changing environment. For the purpose of applying immune system to DARS, a robot is regarded as a B cell, each environmental condition as an antigen, a behavior strategy as an antibody and control parameter as a T-call respectively. The executing process of proposed method is as follows. When the environmental condition changes, a robot selects an appropriate behavior strategy. And its behavior strategy is stimulated and suppressed by other robot using communication. Finally much stimulated strategy is adopted as a swarm behavior strategy. This control scheme is based of clonal selection and idiotopic network hypothesis. And it is used for decision making of optimal swarm strategy. By T-cell modeling, adaptation ability of robot is enhanced in dynamic environments.