• Korean Journal of Agricultural Science
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• v.45 no.4
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• pp.905-916
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• 2018

The purpose of this study was to analyze factors affecting US beef consumption intention in the future, to identify the causes of US beef import growth and to derive implications and strategies for domestic beef producers. Since the KORUS FTA was signed in 2012, US beef imports in 2017 totaled 379,064 tons, an annual increase of 3.5 percent. US beef imports have been steadily increasing due to cuts in FTA tariffs and changes in consumer preferences. The data used in this study utilized a sample of 3,290 grocery purchasers from the Korea Rural Economic Institute's 2016 Food Consumption Behavior Survey. The analytical method used the Ordered Logit Model to analyze what factors influence a consumer's subjective evaluation. As a result, the major factors affecting US beef consumption intention in the future are price, taste and safety. In particular, it has to do with the recent surge in U.S. imports of good-tasting chilled meat. Because chilled meat does not differentiate the market from Hanwoo beef produced in Korea, it is necessary to have differentiated taste and low price through cost reduction. By age and family group, people aged 30 - 40 years and single-person households are the main consumption group. As a result of this study, it is necessary to establish marketing strategies for producers such as rational pricing, safety, taste promotion, and small-scale sales to extend the demand for Hanwoo beef in the younger generation to enhance the competitiveness of the domestic beef market.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.1
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• pp.25-30
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• 2016

It is critical to forecast the maximum daily and monthly demand for power with as little error as possible for our industry and national economy. In general, long-term forecasting of power demand has been studied from both the consumer's perspective and an econometrics model in the form of a generalized linear model with predictors. Time series techniques are used for short-term forecasting with no predictors as predictors must be predicted prior to forecasting response variables and containing estimation errors during this process is inevitable. In previous researches, seasonal exponential smoothing method, SARMA (Seasonal Auto Regressive Moving Average) with consideration to weekly pattern Neuron-Fuzzy model, SVR (Support Vector Regression) model with predictors explored through machine learning, and K-means clustering technique in the various approaches have been applied to short-term power supply forecasting. In this paper, SARMA and intervention model are fitted to forecast the maximum power load daily, weekly, and monthly by using the empirical data from 2011 through 2013. $ARMA(2,\;1,\;2)(1,\;1,\;1)_7$ and $ARMA(0,\;1,\;1)(1,\;1,\;0)_{12}$ are fitted respectively to the daily and monthly power demand, but the weekly power demand is not fitted by AREA because of unit root series. In our fitted intervention model, the factors of long holidays, summer and winter are significant in the form of indicator function. The SARMA with MAPE (Mean Absolute Percentage Error) of 2.45% and intervention model with MAPE of 2.44% are more efficient than the present seasonal exponential smoothing with MAPE of about 4%. Although the dynamic repression model with the predictors of humidity, temperature, and seasonal dummies was applied to foretaste the daily power demand, it lead to a high MAPE of 3.5% even though it has estimation error of predictors.

• ETRI Journal
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• v.42 no.4
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• pp.585-595
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• 2020

Integration of multiple communication technologies in a smart grid (SG) enables employing cognitive radio (CR) technology for improving reliability and security with low latency by adaptively and effectively allocating spectral resources. The versatile features of the CR enable the smart meter to select either the unlicensed or the licensed band for transmitting data to the utility company, thus reducing communication outage. Demand response management is regarded as the control unit of the SG that balances the load by regulating the real-time price that benefits both the utility company and consumers. In this study, joint allocation of the transmission power to the smart meter and consumer's demand is formulated as a two stage multi-armed bandit game in which the players select their optimal strategies noncooperatively without having any prior information about the media. Furthermore, based on historical rewards of the player, a real-time pricing adaptation method is proposed. The latter is validated through numerical results.

• Journal of the Korean Operations Research and Management Science Society
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• v.18 no.3
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• pp.113-127
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• 1993

In this study, a substitution model of the evolutionary generations of technological products is presented. The purpose of the model is to examine the demand side mechanisms which generate successive product life cycles along the path of technological improvements. In the model, the nature of substitution processes is summarized dto the demand function which is derived from the consumer's udtility maximization problem. To describe the nature of technological substitution processes, the concept of the vertical differentiation and the consumption externalities are considered in the utility function. The former is used to characterize the result of technological improvement and the latter is used in explaining the inertia of demand. To show the validity of the model, an empirical study is carried out using the data of the world DRAM market.

• Journal of Korea Technology Innovation Society
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• v.7 no.1
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• pp.89-110
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• 2004

Home networks consist of two or more home appliances or communication devices enabling the mutual data communication between appliances such as personal computers, refrigerators, phones, television sets, personal digital assistants(PDA), etc. There are three factors that create demand for the home network services. The first factor is development of technology. Second, on the demand side, consumer demand for the home appliances having access to the Internet is in the increase. Finally, producers need a strategy to deal with the problem of market saturation. Home networks are emerging markets. They are unique in that they unite information technologies with home appliances that provide new services. in this paper we study the main attributes of home network services and analyze consumers' preferences for them. However, it is not quite possible to use the revealed preference approach since the home network market is still at an incipient stage. We therefore use the conjoint analysis method using stated preference data. conjoint analysis has been widely use in the area of marketing for evaluating consumer preferences for new products and services. it presents a hypothetical product to the respondents along with the product's attributes and their levels. The respondents are asked to either rank each alternative or choose between several hypothetical products. By estimating consumers' willingness to pay for the attributes of the home network services and analyzing consumers' preferences, we predict the pattern of the development of the home network services and related technologies along various quality dimensions. Based on the estimation results, we draw policy implications for the national- and company-level strategy.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.408-417
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• 2022

Although traditionally perceived as being a visualization and asset management resource, the relatively rapid rate of improvement of computing power, coupled with the proliferation of cloud and edge computing and the IoT has seen the expanded functionality of modern Digital Twins (DTs). These technologies, when applied to buildings, are now providing users with the ability to analyse and predict their energy consumption, implement building controls and identify faults quickly and efficiently, while preserving acceptable comfort and well-being levels. Furthermore, when these building DTs are linked together to form a community DT, entirely new and novel energy management techniques, such as demand side management, demand response, flexibility and local energy markets can be unlocked and analysed in detail, creating circularity in the economy and making ordinary building occupants active participants in the energy market. Through the EU Horizon 2020 funded TwinERGY project, three different levels of DT (consumer - building - community) are being created to support the creation of local energy markets while optimising building performance for real-time occupant preferences and requirements for their building and community. The aim of this research work is to demonstrate the development of this new, interrelated, multi-level DT that can be used as a decision-making tool, helping to determine optimal scenarios simultaneously at consumer, building and community level, while enhancing and successfully supporting the community's management plan implementation.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.06a
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• pp.352-357
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• 1998

Conventional marketing research generally focuses on a single layer's benefit. A notable example is the consumer layer providing managers with partial market information to evaluate relevant strategies. As generally known, marketing management encounters complex supply and demand behaviors, thereby necessitation that a successful marketing strategy adopt multi-layer considerations, such as the consumer layer, channel-retailer layer, and marketing planner layer. In light of above situation, this study applies fuzzy theory and the analytic hierarchy process(AHP) technique to analyze the performances of marketing strategies under multi-layer benefits, In addition, conventional marketing research has difficulty in efficiently allocating the limited budget so that each desired criterion can be significantly enhanced by a group of events. Therefore, a weighting structure among the goal, layers, criteria, and strategies(i.e. a group of events) is also developed herein to trace the influential process and assist marketing managers in efficiently allocating resources(i.e.budget).

• KIEAE Journal
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• v.9 no.2
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• pp.27-36
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• 2009

Due to rapid advances in science and technology and peoples life value, multi-dimensional functionality of the house has been possible and demanded. Among them, intellectual function and health support function appeared prominent and the former can support the later. The purpose of this study was to delineate health support planning features for smart home. Thirty six planning elements were extracted for initial pool for survey to find out what consumers demanded. Two hundred and nine data were collected through the web-survey. Important planning features were identified in relation to three different health dimensions that is physical/physiological, psychological, and social health. Generally consumers' responses were positive for all features. Major health friendly features highly demanded by consumers were found gas detect system, security system, and a call alarm system. The result of this study is expected to be used as a basic reference to develop strategies for smart home and to grasp current housing culture.

• Journal of Families and Better Life
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• v.26 no.5
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• pp.91-107
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• 2008

This study investigated the isolation hypothesis and the buffer hypothesis of Demand-Control-Support model in relation to activity satisfaction and psychological well-being. The subjects were 300 elderly women participating in productive activity for example paid work, voluntary activity, and grancdhildren care. This research tested four hypotheses concerning the DCS model. Is there support for the isolation hypothesis, such that the lowest level of activity satisfaction is experienced by the elderly women working in an isolation situation(high demand-low control-low support)? Is there support for the isolation hypothesis, such that the lowest level of psychological well-being is experienced by the elderly women working in an isolation situation(high demand-low control-low support)? Is there support for the buffer hypothesis, i. e. interaction between demand, control, and support, indicating a buffering effect of support on the negative impact of high strain on activity satisfaction? Is there support for the buffer hypothesis, i. e. interaction between demand, control, and support, indicating a buffering effect of support on the negative impact of high strain on psychological well-being? Major results of this study were as follows. and were supported. Activity satisfaction and psychological well-being of the elderly women in isolation situation was the lowest among the sample. was supported that family support level buffered the negative impact of high strain on activity satisfaction. But was not supported. Only main effect of demand level was showed on psychological well-being.

• Asian-Australasian Journal of Animal Sciences
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• v.25 no.1
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• pp.143-150
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• 2012

Competition in global pork markets has increased as trade barriers have opened as a result of free trade agreements. Japanese prefer both loin and Boston butt, while Chinese prefer pork offal. Frozen pork has increased in terms of imports into China. Japanese consumers consider pork meat origin along with pork price when making purchase decisions. While the Chinese prefer a strong tasting pork product, South Korean consumers show very strong preferences to pork that is higher in fat. Therefore, South Korean consumers have a higher demand for pork belly and Boston butt. Consequently, the supply and demand of pork in Korea is hardly met, which means that importation of high fat parts is inevitable. In Korea there is lower preference toward low fat parts such as loin, picnic shoulder, and ham. During the economic depression in South Korea there have been observable changes in consumer preferences. There remains steep competition among the pork exporting countries in terms of gaining share in the international pork market. If specific consumer preferences would be considered carefully, there is the possibility to increase the amount of pork exported to these countries.