• Culinary science and hospitality research
• /
• v.20 no.1
• /
• pp.120-132
• /
• 2014

This study was to investigate the undergraduates in Gyeongsan city, an area heavily populated with students, on their awareness of and their satisfaction with the local traditional food to suggest an effective marketing direction to town restaurants and to provide them with useful information to activate their business. The samples were taken by the convenience sampling method and the measurement was done by 5 points-Likert. The result was as follows. The students recognized that cleanliness(4.69 points), food texture(4,57 points), the freshness of food materials(4,56 points) and food price(4.20 points) were important. However, they considered the legitimacy of local traditional foods(3.59 points), the supplementary explanation of food(3.58 points) and the quantity of food(3.34 points) as less important. On the level of satisfaction with the food, they were highly satisfied with food taste(3.55 points), food flavor(3.47 points) and quantity(3.39 points), while showing relatively low satisfaction with food creativity(2.94 points), food originality(2.75 points) and the explanation of food(2.61 points). The result of IPA indicated that the food texture, food cleanliness, the freshness of food materials, food flavor, food taste and food nutrients were thought to be important among customers, to be kept well by the restaurants and to be shown as the items to be maintained further. The customers took other items like menu price and the creativity of menu to be important, but their satisfaction with these items were low due to lack of practice. Therefore, those items should be managed intensively.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.32 no.12
• /
• pp.1927-1938
• /
• 2008

Companies can build a close relationship by providing benefits that consumers want. As long relationships between consumer and company are stressed these days, it is very important for the growth and development of companies to assess what benefits consumers perceive and how they reflect them to their buying behaviors. Thus, this study aims to examine the relational benefits that consumers perceive in internet clothing purchase and how these perceived relational benefits affects relational commitment and customer loyalty. This study surveyed 343 male and female in their 20s and 30s for empirical analysis who have ever purchased clothing through internet shopping malls. Descriptive statistics, factor analysis, ANOVA analysis, Duncan test, and ${\chi}^2$-test are carried out using SPSS for Windows 12.0 for statistical analysis. The results are as follows. First, the dimensions of relational benefits perceived by consumers in internet clothing purchase are found 6 including customization, economic, psychological, social, shopping convenience, and informational. Second, consumers' perception of relational benefits significantly affect on relational commitment and loyalty, thus consumers with greater recognition of relational benefits have higher relational commitment and loyalty. Third, based on the dimensions of consumer's perceived relational benefit, consumers are categorized into 6 types: group perceiving social benefit, group perceiving economic/shopping convenience benefit, group perceiving shopping convenience benefit, group perceiving customization benefit, group perceiving informational benefit, and group perceiving psychological benefit. The group perceiving customization benefits have higher relational commitment and loyalty than the others. It is expected that this study will help internet companies establish customer relationship management strategies, which are needed to promote relationships with customers and to enhance customers' loyalty to internet shopping malls.

• Archives of design research
• /
• v.17 no.2
• /
• pp.279-288
• /
• 2004

Corporate design activities have expanded from being exclusive and passive responsibilities to active participation in planning, marketing, technology and corporate brand image differentiation for successful business. Thus the communications between designers and other functions come to include critical decision making, information sharing, and objective reasoning. Given that design activities now have to involve various functions in product development, the styling-related design process, which is still developed by designer's intuition and experience, poses as an obstacle not just between various functions involved, but even within the design function. To overcome this obstacle and to lead more effective design decision process, a means for product form development assessment and management is necessary. This research proposes a foundation for managing and assessing product form based on the hypothesis and demonstration of discovering a system of formative factor and order a product form expresses that can be shared as an objective and logical system. As a result of this demonstration, the form as a unique visual expression and the factors related to the form and its co-relationship are examined. The factors are called formative parameters and the system is named as the product form alignment method. Based on the logic derived from the system, the process for developing an image that aligns with the predefined goal is explained. The method defines a balance between a designer's intuitive creativity and the extracted logic, which can act as a basis for designers to share design language among themselves and for communication between design and other functions. Based on this system, designers are able to align design work with the set goal, and focus and limit the range of form development, which is anticipated to result in lead-time reduction and minimizing unnecessary obstacles and mistakes.

• Journal of Korean Society of Water and Wastewater
• /
• v.22 no.1
• /
• pp.121-129
• /
• 2008

Major factors affecting water quality in rivers are transportation, input of pollutant loads and kinetic transformation of pollutants. Government level decision makings on water quality management are based on steady state water quality modeling. However, it is more than often that such a steady state assumption is far from real situations in rivers. Therefore, it is unavoidable to have modeling errors in water quality modeling especially for steady state modeling for longer period of time. Authors attempted to identify sources of errors in results of steady state models and thus tried to find out ways to minimize those errors. Three water quality models, QUAL2E (Brown et al., 1983), QUAL2K (Chapra et al., 2006) and CAP (Seo and Lee, 2000) were applied to the lower stream of the Geum River. $BOD_5$ and COD tend to underestimate observed data while TN and TP showed relatively smaller errors. QUAL2E model provided best calibration results for BOD5 and TP and QUAL2K model showed best calibration results for TN. Since these errors are only relative values, it was difficult to conclude which model is better performing in certain situations. The most probable reasons for errors in water quality modeling are; 1) inappropriate consideration on flow characteristics, 2) lack of information on incoming pollutant load and 3) inappropriate location of sampling for water quality analysis.

• Journal of Wetlands Research
• /
• v.21 no.spc
• /
• pp.141-148
• /
• 2019

South Korea is a nation highly reliant on virtual water imports, which raises concerns of water crisis and food crisis at the national level. Virtual water and water footprint studies that consider the environment, social, and economic issues have been consistently addressed. However, there is a lack of Korean research, so the calculation method and comparison analysis are greatly dependent on foreign research results. The calculation results for Korean domestic agricultural products have been released in earnest since 2014. Thus, there has been an increase in comparison studies using domestic virtual water and water footprint results. This study identified the Korean agricultural and livestock water footprint research direction to determine the citation relationship trends. Domestic and foreign research results were analyzed from Korean water footprint related literature from the past 10 years. Therefore, a citation relationship diagram was formed from the literature analysis results. Virtual water and water footprint related research performance are provided in the appendix so researchers can utilize the various information related to this field in the future. In addition, national strategy policy making is expected to be presented for effective water resources management.

• Journal of Distribution Research
• /
• v.11 no.1
• /
• pp.41-68
• /
• 2006

Today, Manufacturing companies execute the logistics outsourcing that commits the non-core logistic function to the specialized logistics corporation, which makes the manufacturing company focus on its core competence, product development and marketing, reduces logistics cost and improves customer service level. Recently, Logistics outsourcing is developed into cooperative sourcing based on the partnership. Case study on the logistics outsourcing will provide the good guideline for planning of the outsourcing strategy. The objective of this research is making a sense about 4PL through the case of UPS-Samsung Electro-Mechanics and catching major issue to provide the guideline for the cooperation outsourcing strategy. We investigated historical backgrounds of the logistics outsourcing between UPS and Samsung Electro-Mechanics. We also investigated problems occurred in outsourcing process at the five dimensions-organizational problem, CEO's short-term views, cultural gap between two companies, integration of IT system, and different understanding about outcomes. We expect to give many implications to manufacturing companies which want to cooperate with specialized logistics corporation.

• Korean Journal of Agricultural and Forest Meteorology
• /
• v.7 no.3
• /
• pp.201-210
• /
• 2005

This study was conducted to prepare efficient and systematic measures for nature conservation and management in Beomseom Islet, and to provide for basic data to investigate the process of vegetation change in the future. The vegetation of Beomseom Islet was classified to six vegetation type; i.e., Miscanthus sinensis community, Pinus thunbergii community, Iythophyte vegetation, evergreen broad leaf community, shrub community, and Pseudosasa japonica community. The size of each vegetation type was 40,230 $m^2$ ($23.3\%$) for shrub community, 39,366 $m^2$($22.8\%$) for Iythophyte vegetation, 30,012 $m^2$ ($17.4\%$) fur Pinus thunbergii community, 29,853 $m^2$ ($17.3\%$) for Miscanthus sinensis community, 5,564 $m^2$ ($3.2\%$) for evergreen broad leaf community, and 3,325 $m^2$ ($1.9\%$) for Pseudosasa japonica community. The area of non-vegetated sea cliff Bone that composed of bare rocks is 24,246 $m^2$($14.1\%$). We estimated that these distribution patterns of vegetation were the result of various environmental factors such as the steepness of slope and shallowness of soil as well as the cultivation of exotic plants causing disruption of native vegetation.

• Korean Journal of Remote Sensing
• /
• v.28 no.1
• /
• pp.121-128
• /
• 2012

High resolution intertidal DEM is a basic material for science research like sedimentation/erosion by ocean current, and is invaluable in a monitoring of environmental changes and practical management of coastal wetland. Since the intertidal zone changes rapidly by the inflow of fluvial debris and tide condition, remote sensing is an effective tool for observing large areas in short time. Although radar interferometry is one of the well-known techniques for generating high resolution DEM, conventional repeat-pass interferometry has difficulty on acquiring enough coherence over tidal flat due to the limited exposure time and the rapid changes in surface condition. In order to overcome these constraints, we tested the feasibility of radar interferometry using Cosmo-SkyMed tandem-like one-day data and ERS-ENVISAT cross tandem data with very short revisit period compared to the conventional repeat pass data. Small temporal baseline combined with long perpendicular baseline allowed high coherence over most of the exposed tidal flat surface in both observations. However the interferometric phases acquired from Cosmo-SkyMed data suffer from atmospheric delay and changes in soil moisture contents. The ERS-ENVISAT pair, on the other hand, provides nice phase which agree well with the real topography, because the atmospheric effect in 30-minute gap is almost same to both images so that they are cancelled out in the interferometric process. Thus, the cross interferometry with very small temporal baseline and large perpendicular baseline is one of the most reliable solutions for the intertidal DEM construction which requires very accurate mapping of the elevation.

• Korean Journal of Remote Sensing
• /
• v.36 no.5_1
• /
• pp.653-666
• /
• 2020

Understanding the vegetation structure is important to manage forest resources for sustainable forest development. With the recent development of technology, it is possible to apply new technologies such as drones and deep learning to forests and use it to estimate the vegetation structure. In this study, the vegetation structure of Gongju, Samchuk, and Seoguipo area was identified by fusion of drone-optical images and LiDAR data using Artificial Neural Networks(ANNs) with the accuracy of 92.62% (Kappa value: 0.59), 91.57% (Kappa value: 0.53), and 86.00% (Kappa value: 0.63), respectively. The vegetation structure analysis technology using deep learning is expected to increase the performance of the model as the amount of information in the optical and LiDAR increases. In the future, if the model is developed with a high-complexity that can reflect various characteristics of vegetation and sufficient sampling, it would be a material that can be used as a reference data to Korea's policies and regulations by constructing a country-level vegetation structure map.

• Journal of Bio-Environment Control
• /
• v.27 no.1
• /
• pp.27-33
• /
• 2018

This study was performed to review the domestic and international smart farm service model based on the convergence of agriculture and information & communication technology and derived various factors needed to improve the Korean smart greenhouse. Studies on modelling of crop growth environment in domestic smart farms were limited. And it took a lot of time to build research infrastructure. The cloud-based research platform as an alternative is needed. This platform can provide an infrastructure for comprehensive data storage and analysis as it manages the growth model of cloud-based integrated data, growth environment model, actuators control model, and farm management as well as knowledge-based expert systems and farm dashboard. Therefore, the cloud-based research platform can be applied as to quantify the relationships among various factors, such as the growth environment of crops, productivity, and actuators control. In addition, it will enable researchers to analyze quantitatively the growth environment model of crops, plants, and growth by utilizing big data, machine learning, and artificial intelligences.