• Journal of the Korean Society of Clothing and Textiles
• /
• v.39 no.3
• /
• pp.433-445
• /
• 2015

This study examines factors that influence consumer behavior regarding the usage intentions and repurchasing behavior of counterfeits. Based on the Theory of Planned Behavior by Ajzen (1991), this study looks at the impact of attitude, subjective norm, perceived behavioral control, as well as the moral norm of consumers about intentions to use and repurchase counterfeits. An online survey was conducted on males and females over the age of 20 with previous experiences of purchasing counterfeits; subsequently, 209 responses were collected and analyzed. The covariance structure model was used to analyze the data in order to measure the factors that influence the usage of counterfeits and repurchasing behavior. The results show that attitude, subjective norm, and perceived behavioral control have significantly positive effects on usage intentions, while moral norm has a significantly negative effect on usage intentions. Usage intentions also have a significantly positive effect on repurchasing behavior and confirmed that usage intentions functions as the mediator. The variables that influence usage intentions are attitude, perceived behavioral control, moral norm, and subjective norm, in descending order. Consumer attitudes towards counterfeits is a major factor that influences usage intentions. Therefore, ethical problems should be emphasized to encourage a negative attitude towards counterfeits. This study identifies an important aspect to show that usage intentions toward counterfeits, and not purchasing intentions, influences repurchasing behavior. Findings are significant in that they reveal the role of the moral norm variable added to the TPB model.

• Journal of The Korean Society of Agricultural Engineers
• /
• v.56 no.3
• /
• pp.65-74
• /
• 2014

Water footprint is defined as the total volume of direct and indirect water used to produce a good and service by consumer or producer, and measured at the point of production based on virtual water concept. The green and blue water footprint refers to the volume of the rainwater and the irrigation water consumed, respectively. Crop water footprint is expected to be used as the basic data for agricultural water resources policies at production, consumption and trade aspect. Thus, it is necessary to estimate suitable green and blue water footprint for South Korea. The objective of this paper is to quantify the green and blue water footprint and usage of upland crops during the period 2001-2010. To estimate the water footprint, 43 upland crop production quantity and harvested area data were collected for 10 years and FAO Penman-Monteith equation was adopted for calculating crop water requirement. As the results, the water footprint of cereals, vegetables, fruits and oil crops accounted for 1,994, 165, 605, and 4,226 $m^3/ton$, respectively. The usage of water footprint for crop production has been estimated at 3,499 (green water) and 216 (blue water) $Mm^3/yr$ on average showing a tendency to decrease. Fruits and vegetables have the largest share in the green water usage, consuming about 1,200 and 1,060 $Mm^3/yr$ which are about 65 % of gross usage. The results of this study are expected to be understood by the agricultural water footprint as well as by the total water footprint from both a production and consumption perspective in Korea.

• Electronics and Telecommunications Trends
• /
• v.39 no.4
• /
• pp.32-41
• /
• 2024

Building energy management plays a crucial role in improving energy efficiency and optimizing energy usage. To achieve this, it is important to monitor and analyze energy-related data from buildings in real time using sensors to understand energy consumption patterns and establish optimal operational strategies. Because of the uncertainties in building energy-related data, there are challenges in analyzing these data and formulating operational strategies based on them. Artificial intelligence (AI) technology can help overcome these challenges. This paper investigates past and current research trends in AI technology and examines its future prospects for building energy management. By performing prediction and analysis based on energy consumption or supply data, the future energy demands of buildings can be forecasted and energy consumption can be optimized. Additionally, data related to the surrounding environment, occupancy, and other building energy-related factors can be collected and analyzed using sensors to establish operational strategies aimed at further reducing energy consumption and increasing efficiency. These technologies will contribute to cost savings and help minimize environmental impacts for building owners and operators, ultimately facilitating sustainable building operations.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.42 no.1
• /
• pp.129-136
• /
• 2019

In this study, we proposed a model for forecasting power energy demand by investigating how outside temperature at a given time affected power consumption and. To this end, we analyzed the time series of power consumption in terms of the power spectrum and found the periodicities of one day and one week. With these periodicities, we investigated two time series of temperature and power consumption, and found, for a given hour, an approximate linear relation between temperature and power consumption. We adopted an exponential smoothing model to examine the effect of the linearity in forecasting the power demand. In particular, we adjusted the exponential smoothing model by using the variation of power consumption due to temperature change. In this way, the proposed model became a mixture of a time series model and a regression model. We demonstrated that the adjusted model outperformed the exponential smoothing model alone in terms of the mean relative percentage error and the root mean square error in the range of 3%~8% and 4kWh~27kWh, respectively. The results of this study can be used to the energy management system in terms of the effective control of the cross usage of the electric energy together with the outside temperature.

• KIEAE Journal
• /
• v.13 no.2
• /
• pp.27-32
• /
• 2013

For the past seven years, the increase in the energy consumption of universities in Korea has been 3.7 times higher than the overall increase in the energy consumption across Korea (22.5%). This is an example that shows that universities have been a massive source of greenhouse gases. Such an increase has been attributed to the new and expanded construction of architectural structures on campus. Many people argue that the increasing number of buildings may cause waste of energy and loss of efficiency. Therefore, this study was conducted as a preliminary study to derive energy efficiency measures for new university buildings. The two aspects of energy-saving as required by the eco-friendly structure certification standards have been applied to analyze the use of new/renewable energy and the energy consumption of new university buildings that have applied light density and light engineering methods. Based on these results, the major sources of energy of existing buildings and new university buildings were compared to comparatively discuss how effectively they improve energy performance.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.44 no.4
• /
• pp.594-609
• /
• 2020

This study investigated how experience of creative dressing tasks influences consumers' perceptions and behavior towards clothing consumption. Consumer creativity can solve several problems in consumption practices; however, few studies have analyzed it in the consumption context. This study adopted an action research method so that consumers could experience creative clothing consumption in their daily lives. In-depth interviews and participant observations were conducted on eight adults in their 20s and 30s. Participants had to dress creatively 10 times and recorded their creative fashion styles, the ideas they used, and their feelings during the tasks in a consumer diary. The main results were as follows. Participants regarded the meaning of creative dressing as a 'visually novel, transformative, and hiding the physical flaws'. Based on these characteristics of creative dressing, they showed many creative ideas by expanding the product usages or varying coordination among the fashion items. As a result of the task experience, participants became aware their stagnant fashion style and reflected on shopping habits and low clothing usage-efficiency. This study is meaningful in that it systematically explored creative clothing consumption behavior step by step from a consumer perspective.

• Fashion & Textile Research Journal
• /
• v.14 no.3
• /
• pp.381-389
• /
• 2012

This study presents a marketing communication strategy from the aspect of new consumption orientation. Consumer preference on ads media, on-line ads media, and WOM usage were examined for new consumption orientation groups. This study was executed in a question survey format. A total of 182 questionnaires were obtained and data were analyzed by PASW 18.0 and AMOS 7. The results were as follows. First, 8 types of consumption orientation factors were revealed; 'impulsive purchase', 'promotion oriented', 'social contribution', 'passive conformity', 'innovative', 'conspicuous', 'rational', and 'environmental conservation'. Then 4 groups were formed, 'Rational & Positive', 'Conspicuous Conforming', 'Positive Social Interested' and 'Low Price Oriented'. Second, communication responses were analyzed through consumption orientation groups. The 'Rational & Positive' group responded positively to every type of advertising media (especially new media). The 'Conspicuous Conforming' and 'Positive Social Interested' groups preferred traditional media such as TV, radio, and magazines; in addition, the 'Low Price Oriented' group liked only online banner ads. For WOM preference, the 'Rational & Positive' and 'Positive Social Interested' group preferred verbal consumer information like WOM. In distribution types, the just 'Positive Social Interested' group revealed a significant result for internet shopping malls. The results from this study will help establish marketing communication strategies based on the features of consumption orientation.

• Korean Journal of Agricultural Science
• /
• v.47 no.2
• /
• pp.291-303
• /
• 2020

This various factors that affect beef consumption behavior between different types of beef such as Hanwoo, Australian, American, and domestic Yukwoo. Previous studies usually used almost ideal demand system (AIDS) model to show the degree of substitution between meats especially domestic and foreign beef. This a real expenditure each individual and to explain what factors affect consumers especially focusing on various beef. Hence, previous studies used shares and prices as key variableshowever, this study use various socio-demographic variables, consumption tendency, satisfaction and importance for beef consumption, purchasing usage and part, etc. This study a seemingly unrelated regression (SUR) model to enhance efficiency of estimates because error terms of four beef consumption equations are correlated. For, an on-line survey was performed Aug. 5 - 14, and we obtained 979 effective samples. The results show that high income group (more than 700 mil. won per month) purchases more beef than other groups. The origin of orders is Hanwoo, Yukwoo, Australian beef, and American beef. A family who member purchases more Yukwoo than other groups. foreign affects beef consumption regardless of its origin. Individuals who think origin and taste prefer Hanwoo. However, individuals who think price prefer Australian beef.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
• /
• v.26 no.10
• /
• pp.486-490
• /
• 2014

In our country, which imports 97% of the energy consumed, an energy saving policy is required. The price inflation of utility bills is caused by a steep rise in the prices of imported oil. This study aims to solve the difficulties that cause poor environmental conditions for workers in the energy services sector, and especially, to systematize energy consumption reports to manage energy goals by suggesting an example of written energy-saving reports. To this end, this research focuses on energy consumption of target facilities including office spaces in a main building and multi-use facilities of an office building. A system where all employees can participate is structured through the analysis of energy usage in the target buildings.

• International Journal of Naval Architecture and Ocean Engineering
• /
• v.11 no.2
• /
• pp.765-781
• /
• 2019

This study predicts the power consumption of an Electric Propulsion Ship (EPS) in marine environment. The EPS is driven by a propeller rotated by a propulsion motor, and the power consumption of the propeller changes by the marine environment. The propulsion motor consumes the highest percentage of the ships' total power. Therefore, it is necessary to predict the power consumption and determine the power generation capacity and the propeller capacity to design an efficient EPS. This study constructs a power estimation simulator for EPS by using a ship motion model including marine environment and an electric power consumption model. The usage factor that represents the relationship between power consumption and propulsion is applied to the simulator for power prediction. Four marine environment scenarios are set up and the power consumed by the propeller to maintain a constant ship speed according to the marine environment is predicted in each scenario.