• Journal of Global Scholars of Marketing Science
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• v.18 no.4
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• pp.195-215
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• 2008

The scarcity is pervasive aspect of human life and is a fundamental precondition of economic behavior of consumers. Also, the effect of scarcity message is a power social influence principle used by marketers to increase the subjective desirability of products. Because valuable objects are often scare, consumers tend to infer the scarce objects are valuable. Marketers often do base promotional appeals on the principle of scarcity to increase the subjective desirability their products among consumers. Specially, advertisers and retailers often promote their products using restrictions. These restriction act to constraint consumers' ability th take advantage of the promotion and can assume several forms. For example, some promotions are advertised as limited time offers, while others limit the quantity that can be bought at the deal price by employing the statements such as 'limit one per consumer,' 'limit 5 per customer,' 'limited products for special commemoration celebration,' Some retailers use statements extensively. A recent weekly flyer by a prominent retailer limited purchase quantities on 50% of the specials advertised on front page. When consumers saw these phrase, they often infer value from the product that has limited availability or is promoted as being scarce. But, the past researchers explored a direct relationship between the purchase quantity and time limit on deal purchase intention. They also don't explored that all restriction message are not created equal. Namely, we thought that different restrictions signal deal value in different ways or different mechanism. Consumers appear to perceive that time limits are used to attract consumers to the brand, while quantity limits are necessary to reduce stockpiling. This suggests other possible differences across restrictions. For example, quantity limits could imply product quality (i.e., this product at this price is so good that purchases must be limited). In contrast, purchase preconditions force the consumer to spend a certain amount to qualify for the deal, which suggests that inferences about the absolute quality of the promoted item would decline from purchase limits (highest quality) to time limits to purchase preconditions (lowest quality). This might be expected to be particularly true for unfamiliar brands. However, a critical but elusive issue in scarcity message research is the impacts of a inferred motives on the promoted scarcity message. The past researchers not explored possibility of inferred motives on the scarcity message context. Despite various type to the quantity limits message, they didn't separated scarcity message among the quantity limits. Therefore, we apply a stricter definition of scarcity message(i.e. quantity limits) and consider scarcity message type(general scarcity message vs. special scarcity message), scarcity depth(high vs. low). The purpose of this study is to examine the effect of the scarcity message on the consumer's purchase intension. Specifically, we investigate the effect of general versus special scarcity messages on the consumer's purchase intention using the level of the scarcity depth as moderators. In other words, we postulates that the scarcity message type and scarcity depth play an essential moderating role in the relationship between the inferred motives and purchase intention. In other worlds, different from the past studies, we examine the interplay between the perceived motives and scarcity type, and between the perceived motives and scarcity depth. Both of these constructs have been examined in isolation, but a key question is whether they interact to produce an effect in reaction to the scarcity message type or scarcity depth increase. The perceived motive Inference behind the scarcity message will have important impact on consumers' reactions to the degree of scarcity depth increase. In relation ti this general question, we investigate the following specific issues. First, does consumers' inferred motives weaken the positive relationship between the scarcity depth decrease and the consumers' purchase intention, and if so, how much does it attenuate this relationship? Second, we examine the interplay between the scarcity message type and the consumers' purchase intention in the context of the scarcity depth decrease. Third, we study whether scarcity message type and scarcity depth directly affect the consumers' purchase intention. For the answer of these questions, this research is composed of 2(intention inference: existence vs. nonexistence)${\times}2$(scarcity type: special vs. general)${\times}2$(scarcity depth: high vs. low) between subject designs. The results are summarized as follows. First, intention inference(inferred motive) is not significant on scarcity effect in case of special scarcity message. However, nonexistence of intention inference is more effective than existence of intention inference on purchase intention in case of general scarcity. Second, intention inference(inferred motive) is not significant on scarcity effect in case of low scarcity. However, nonexistence of intention inference is more effective than existence of intention inference on purchase intention in case of high scarcity. The results of this study will help managers to understand the relative importance among the type of the scarcity message and to make decisions in using their scarcity message. Finally, this article have several contribution. First, we have shown that restrictions server to activates a mental resource that is used to render a judgment regarding a promoted product. In the absence of other information, this resource appears to read to an inference of value. In the presence of other value related cue, however, either database(i.e., scarcity depth: high vs. low) or conceptual base(i.e.,, scarcity type special vs. general), the resource is used in conjunction with the other cues as a basis for judgment, leading to different effects across levels of these other value-related cues. Second, our results suggest that a restriction can affect consumer behavior through four possible routes: 1) the affective route, through making consumers feel irritated, 2) the cognitive making route, through making consumers infer motivation or attribution about promoted scarcity message, and 3) the economic route, through making the consumer lose an opportunity to stockpile at a low scarcity depth, or forcing him her to making additional purchases, lastly 4) informative route, through changing what consumer believe about the transaction. Third, as a note already, this results suggest that we should consider consumers' inferences of motives or attributions for the scarcity dept level and cognitive resources available in order to have a complete understanding the effects of quantity restriction message.

• Journal of Energy Engineering
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• v.11 no.4
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• pp.332-341
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• 2002

This Paper discusses a theoretical approach to assess the acceptability on nuclear energy facili-ties and policies, that is associated with derivation of indicators influencing perception on the nuclear energy. Facets of the public perception include the necessity of nuclear energy, expected benefits and costs, possi-bility of control, nuclear energy risk sentiment level, and equality between present and future generations. It also identifies indicators directly or indirectly affecting the perception facets and classifies them into the knowledge-based and the trust-based. Knowledge on nuclear energy facility is acquired on the foundation of the understanding of fact, through information, education, PR, and experience the media. Meanwhile, trust on nuclear energy Policies as value judgment on reality is built through legitimacy, communication, compensa-tion, participation, and the media. Multi-dimensional analysis on nuclear energy acceptability will provide a key to developing a more realistic and mutually agreeable policies and solving the imminent issues.

• 대한예방의학회:학술대회논문집
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• 1994.02a
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• pp.440-449
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• 1994

Current risk assessment practices largely reflect the need for a consistent set of relatively rapid, first-cut procedures to assess 'plausible upper limits' of various risks. These practices have important roles to play in 1) screening candidate hazards for initial attention and 2) directing attention to cases where moderate-cost measures to control exposures are likely to be warranted, in the absence of further extensive (and expensive) data gathering and analysis. A problem with the current practices, however, is that they have led assessors to do a generally poor job of analyzing and expressing uncertainties, fostering 'One-Number Disease' (in which everything from one's social policy position on risk acceptance to one's technical judgment on the likelihood of different cancer dose-response relationships is rolled into a single quantity). At least for analyses that involve relatively important decisions for society (both relatively large potential health risks and relatively large potential economic costs or other disruptions), we can and should at least go one further step - and that is to assess and convey both a central tendency estimate of exposure and risk as well as our more conventional 'conservative' upper-confidence-limit values. To accomplish this, more sophisticated efforts are needed to appropriately represent the likely effects of various sources of uncertainty along the casual chain from the release of toxicants to the production of adverse effects. When the effects of individual sources of uncertainty are assessed (and any important interactions included), Monte Carlo simulation procedures can be used to produce an overall analysis of uncertainties and to highlight areas where uncertainties might be appreciably reduced by further study. Beyond the information yielded by such analyses for decision-making in a few important cases, the value of doing several exemplary risk assessments in. this way is that a set of benchmarks can be defined that will help calibrate the assumptions used in the larger number of risk assessments that must be done by 'default' procedures.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.795-797
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• 2005

During the past few years, various traffic-flow forecasting models, i.e. an ARIMA, an ANN, and so on, have been developed to predict more accurate traffic flow. However, these models analyze historical data in an attempt to predict future value of a variable of interest. They make use of the following basic strategy. Past data are analyzed in order to identify a pattern that can be used to describe them. Then this pattern is extrapolated, or extended, into the future in order to make forecasts. This strategy rests on the assumption that the pattern that has been identified will continue into the future. So ARIMA or ANN models with its traditional architecture cannot be expected to give good predictions unless this assumption is valid; The statistical models in particular, the time series models are deficient in the sense that they merely extrapolate past patterns in the data without reflecting the expected irregular and infrequent future events Also forecasting power of a single model is limited to its accurate. In this paper, we compared with an ANN model and ARIMA model and tried to combine an ARIMA model and ANN model for obtaining a better forecasting performance. In addition to combining two models, we also introduced judgmental adjustment technique. Our approach can improve the forecasting power in traffic flow. To validate our model, we have compared the performance with other models. Finally we prove that the proposed model, i.e. ARIMA + ANN + Judgmental Adjustment, is superior to the other model.

• Journal of Korean Library and Information Science Society
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• v.43 no.4
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• pp.139-159
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• 2012

The purpose of this research is to increase understanding about 'an attitude' and to develop the contents of the reading attitude survey questionnaire through the analysis and comparison of reading attitude models. An attitude has an individual's perception and feeling about events, problems, people or things, and it also includes the state prepared for reaction. An attitude consists of emotion, cognition and behavior and it is formed by experience, learning or value judgment. Reading attitudes are composed of cognitive factors that represent beliefs or opinions about reading, emotional factors that represent evaluation and emotion about reading, and behavioral factors that represent intentions or behavior to reading. The analysis of the components of the reading attitude models shows the fact that the influencing factors of reading attitude formation are the reading experience, beliefs of reading results, beliefs about others' expectations and reading environments. Thus, the contents of reading attitude survey questionnaires should include such contents as reading experience, beliefs of reading results, beliefs about others' expectations, and reading environments.

• The Journal of the Korea Contents Association
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• v.10 no.9
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• pp.375-386
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• 2010

The purpose of this study aimed to examine relations between conflict management method and organization of private security companies. 286 guards who worked at security compromies in Seoul in 2010 were selected by using the method of judgment sampling and 279 guards were used for analysis. Reliability of questionnaire used for this study was over .642 in value of Cronbach's $\alpha$. Collected data was analyzed by using factor analysis, reliability analysis, t-test, F-test, multiple regression analysis and SPSSWIN 17.0. The result is as follows. First, conflict management method for security guards is different depending on socio-demographic features. Second, organizational performance of security guards is different depending on socio-demographic features. Third, conflict management method of security guards has effect on organizational performance. The higher the method of managing conflict through integration, compromise, favor and governance, the higher cohesion, organizational immersion and job satisfaction.

• Journal of Broadcast Engineering
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• v.23 no.5
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• pp.701-713
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• 2018

The purpose of this paper is to analyze the changes of the digital music platforms and digital profit distribution issues which are considered to be the most important part of the application to the Global music industry based on the block chain system. This attempt is not to reveal the success of the block chain and the value judgment in the societies that will come in the future. How to apply the original function of the block chain in the field of the music industry, which has changed a lot in the digital era, this paper focused on what we need to work on. First, I will briefly review the structure and major functions of the block chain system and the crypto-currency, and examine the link between the blockchain and the music industry. In addition, I will focus on some overseas' cases that are actually applied, and examine the possibility of applying them in the domestic music industry. Through this, I expect that this article will become a cornerstone for discussing the development direction of the music industry, especially the Korean music industry, which is constantly changing due to the technological advancement process.

• Earthquakes and Structures
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• v.11 no.4
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• pp.629-648
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• 2016

This paper deals with 111 buildings built between 1962 and 1987, from various parts of the city of Osijek, for which, through the collection of documentation, a database is created. The aim of this paper is to provide the first steps in assessing seismic risk in Osijek applying method based on vulnerability index. This index uses collected information of parameters of the building: the structural system, the construction year, plan, the height, i.e., the number of stories, the type of foundation, the structural and non-structural elements, the type and the quality of main construction material, the position in the block and built-up area. According to this method defining five damage states, the action is expressed in terms of the macroseismic intensity and the seismic quality of the buildings by means of a vulnerability index. The value of the vulnerability index can be changed depending on the structural systems, quality of construction, etc., by introducing behavior and regional modifiers based on expert judgments. Since there is no available data of damaged buildings under earthquake loading in our country, we will propose behavior modifiers based on values suggested by earlier works and on judgment based on available project documentation of the considered buildings. Depending on the proposed modifiers, the seismic vulnerability of existing buildings in the city of Osijek will be assessed. The resulting vulnerability of the considered residential buildings provides necessary insight for emergency planning and for identification of critical objects vulnerable to seismic loading.

• The Journal of the Korea Contents Association
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• v.10 no.10
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• pp.351-358
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• 2010

This study is to examine the effect of types of mentoring among security agents on career development and career satisfaction. Private guards engaging in 5 different security companies in Seoul 2010" were set as a collected group and using judgment sampling method, 227 of them were finally analyzed. Cronbach's $\alpha$ value was .606, implying that reliability of questionnaire was high. The conclusion drawn from this study is as follows: First, types of mentoing among private guards effect their career development. In other words, when facilitated mentoring is encouraged, it leads to innovative self-development, professional development, and information competitiveness; when informal mentoring is encouraged, it causes information competitiveness to be improved. Second, mentoring types have an effect on career satisfaction: Facilitated mentoring enables to increase career satisfaction. Third, security agents' career development affects their career satisfaction. That is, innovative development and professional development result in increase of career satisfaction.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.3
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• pp.629-635
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• 2017

In this paper, we proposed a nonlinear synthesis filter for noise reduction to reduce the effects of Gaussian noise and impulse noise. When the centralization of the local mask is judged to be Gaussian noise by the noise judgment, the weight value of the weight filter are applied differently according to the spatial weight filter and the pixel change by using the sample variance in the local mask. And if it is determined as the impulse noise, we proposed an algorithm that applies different weights of local histogram weight filter and standard median filter according to noise density of mask. In order to evaluate the performance of the proposed filter algorithm, we used PSNR(peak signal to noise ratio) and compared existing methods and proposed filter algorithm in the mixed noise environment with Gaussian noise, impulsive noise, and two noises mixed.