• Journal of Agricultural Extension & Community Development
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• v.19 no.4
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• pp.799-831
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• 2012

This study was accomplished to support farmers who want to introduce Automatic Milking System. The methods of analysis is considered on it as investment analysis that NPV, ROV and FROV. As a classical investment analysis technique, NPV showed 142 thousand won on the every senarioes. On the other hands, The Real Option Analysis showed 153,826, 154,937 and 152,858 on the normal, optimistic and pessimistic senarioes respectively. it is considered as a investment analysis technique for strategic decision-making. But, it may have problem to evaluate present value of expected cash flows and expected costs by a single number. To solve those problems, this paper tried to evaluate Fuzzy Real Option Model which were jointed with a real option model and Fuzzy set model. The result of analysis showed, on respective senarioes, 153,515 to 161,489, 154,612 to 162,970, and 152,573 to 159,835 on the interval estimation. Thereby It is a more realistic in many cases.

• Journal of Korea Port Economic Association
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• v.30 no.3
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• pp.89-120
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• 2014

The purpose of the study is to suggest a new approach to the terminal operators in order for them to efficiently control their operation cost and support the strategic decision making system and build a performance evaluation process through the systematic cost analysis approach. This study implemented terminal cost analysis based on the traditional cost system, ABC and TDABC and compared the results of each approach. Throughout the study, the usefulness of TDABC was proved in finding operational problems and suggesting countermeasures for improving cost effectiveness and minimizing unused cost.

• Journal of Korea Society of Industrial Information Systems
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• v.24 no.6
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• pp.67-79
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• 2019

This research is to examine the factors affect technological innovation, which in turn is likely to related to financial performance in SMVs (Small-Medium Ventures). Empirical analyses showed that overseas market shares, R&D investment, firm size, firm capability, and centralization in decision-making are statistically related to technological innovation measured with patents and intellectual property. Additionally, technological innovation was found to have a positive relationship with financial performances measured with firms' assets and sale revenues. In conclusion, this research assist to devise a strategic plan for motivating technological innovation and realizing its performance in the SMVs.

• The Journal of the Korea Contents Association
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• v.15 no.11
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• pp.58-73
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• 2015

For the purpose of achieving ad novelty, certain types of ads are frequently created to gain consumers' attention leaving out some of the main creative elements which have generally been considered to be important in producing ad effectiveness. Given circumstance, this experimental study examines the effects of different sets of creative elements in TV advertising; specifically, the research manipulated a TV commercial containing different types of creative elements and explored the effects on attitude towards the ad and the brand. The results are summarized as follow: Fist, there is significant difference in both ad attitude and brand attitude between two groups. The group of people who watched a TV commercial including both product & non-product related elements showed higher mean attitude towards the ad. Second, the ad with both product & non-product elements led more favorable attitude towards the ad when brand familiarity is high. Finally, the group of male participants showed more favorable attitude towards the ad with both product & non-product related elements when brand familiarity is low. Findings from this study will be able to provide a valuable contribution to the strategic decision-making process as ad agencies look for the basis for consideration of creative strategy in TV advertising.

• Journal of the Korea Society of Computer and Information
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• v.25 no.8
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• pp.31-37
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• 2020

In this paper, we propose a system architecture and methodology based on cyber kill chain and MITRE ATT&CK for experiment analysis on cyber warfare simulation. Threat analysis is possible by applying various attacks that have actually occurred with continuous updates to reflect newly emerging attacks. In terms of cyber attack and defense, the current system(AS-IS) and the new system(TO-BE) are analyzed for effectiveness and quantitative results are presented. It can be used to establish proactive cyber COA(Course of Action) strategy, and also for strategic decision making. Through a case study, we presented the usability of the system architecture and methodology proposed in this paper. The proposed method will contribute to strengthening cyber warfare capabilities by increasing the level of technology for cyber warfare experiments.

• Journal of Digital Convergence
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• v.16 no.10
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• pp.11-26
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• 2018

A strategic technology selection for GHG reduction is crucial to secure mitigation means. Especially, a technology selection for a public sector is encouraged to consider integrated perspectives due to various stakeholders under public goals. However, previous studies have mainly focused on technological and economic factors, moreover, consistent criteria have not been applied. This study develops indicators for the GHG reduction technology selection from the public perspective based on delphi method with 22 experts. The result provides valid indicators of technology selection for GHG reduction considering an aspect of technology, economics, environment, policy, society. Specifically, 16 indicators from 5 categories on commercialized technology, and 18 indicators from 5 categories on new technology. We expect that those indicators are useful for a decision-making tool of technology selection. Moreover, provide the basis for the study of judgement criteria to evaluate GHG reduction technology.

• Journal of the Ergonomics Society of Korea
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• v.25 no.3
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• pp.49-60
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• 2006

Technological encroachment provides human operators with flood of information that must be analyzed to understand the environment and make judgments that lead to strategic actions. Further, the environment is not static and therefore uncertain, changing its aspect dynamically. Complexity accompanied with its dynamics imposes substantial difficulty to human operators' task. Criticality of having situational understanding becomes more important than ever. Situationalunderstanding requires the human operators possessing tacit knowledge in order for them to make the sense out of the situation while interacting with information from many heterogeneous sources, the notion of sensemaking. Sensemaking refers to the process of developing mental framework to assemble pieces of information representing different aspects of the environment that can be used to develop one's own actionable knowledge to implement their judgments in the uncertain environment. Therefore, judgment process and performance is a key component of sensemaking process. Among many judgment and decision making models, the lens model with its extension can be utilized to partially describe the judgmental aspect of sensemaking. One of the lens model parameters, unmodeled knowledge, can be a corresponding quantitative measure for the tacit knowledge that plays an important role in sensemaking. In this paper, a comprehensive literature for sensemaking is provided to formally define the notion of sensemaking in the military domain. Also, it is proposed that there is a crucial link between the sensemaking and human judgment process and performance from the lens model perspective. Potential implications for experimental framework are also proposed.

• Korean Journal of Occupational Health Nursing
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• v.23 no.4
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• pp.262-268
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• 2014

Purpose: This study was conducted to identify the differences by the stages of change in exercise behaviors of caregivers based on Transtheoretical Model. Methods: The subjects were consisted of randomly chosen 105 caregivers working in a nursing home. The collected data were analyzed with descriptive statistics, chi-square test, ANOVA and Duncan test using IBM SPSS Statistics 19. Results: The results showed that in the stages of exercise behaviors, there were most participants in contemplation stage with 24.7%, followed by 22.8% in preparation, 21.9% maintenance, 19.0% action and 11.4% pre-contemplation. As for the process of change by the stages of change in exercise behaviors, it showed statistically significant differences in behavioral strategies (F=7.64, p<.001). In decisional balance, pros (F=3.75, p=.007) showed statistical significance, with higher pros in all stages except pre-contemplation. Self-efficacy was also statistically significant (F=6.25, p<.001), especially in the maintenance stage. Conclusion: This study suggested that in order to encourage caregivers to exercise, a strategic intervention to reinforce the process of change, recognition of positive decision-making and promotion of self-efficacy in exercise behaviors should be developed.

• The KIPS Transactions:PartD
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• v.18D no.4
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• pp.299-308
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• 2011

In the recent years, a variety of projects have been conducted in order to enhance competitiveness of leading businesses and their followers in the market. Accordingly, the importance of project portfolio management has risen in the open market industry. Project portfolio management refers to crucial decision-making processes which aim to maximize benefits by selecting projects most suitable for a strategic objective among multiple projects with limited resources. In this study, the trend of project portfolio management studies is introduced. The study also presents a mathematical model of the problem, which aims at maximizing project values, possibility, and similarity between projects in the limited resources. We use the genetic algorithm to obtain the priority orders of projects. In order to verify this study, we compare the results of this study and the existing schedules of the E-open market in South Korea. This study ultimately reduces project risks, improves efficiency of development and continuity of tasks by properly ordering projects and assigning developers to the projects.

• Journal of Intelligence and Information Systems
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• v.13 no.4
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• pp.121-135
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• 2007

Constraint directed scheduling techniques, representing problem constraints explicitly and constructing schedules by constrained heuristic search, have been successfully applied to real world scheduling problems that require satisfying a wide variety of constraints. However, there has been little basic research on the representation and optimization of the objective value of a schedule in the constraint directed scheduling literature. In particular, the cost objective is very crucial for enterprise decision making to analyze the effects of alternative business plans not only from operational shop floor scheduling but also through strategic resource planning. This paper aims to explicitly represent and optimize the total cost of a schedule including the tardiness and inventory costs while satisfying non-relaxable constraints such as resource capacity and temporal constraints. Within the cost based scheduling framework, a cost propagation algorithm is presented to update cost information throughout temporal constraints within the same job.