• KIEAE Journal
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• v.14 no.2
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• pp.47-59
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• 2014

In the present circumstance of exploring measures for sustainable development, finding and using planning elements of historical city is getting important as a urban planning tool. Thus this study aims to examine the characters of Korean traditional urban form through three periods, Josun, modern and contemporary eras. Three urban centers representing different characteristics were selected; historical center based on 14th century's traditional planning, modern period urban center, which is related with development of railway, and contemporary urban center of late 20th century. Analyse of urban tissue, composed with form and scale of street network, blocks and plots, shows that each urban center of Seoul has certain common attributes in terms of morphology in spite of the difference of formation and development period. However this historical urban forms are rarely applicated in the current urban planning, such as new-town planning or district unit plan. This shows the necessity of modification of urban regulation for preserving the identity of our city and pursuing sustainable development.

• Culinary science and hospitality research
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• v.12 no.2 s.29
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• pp.88-105
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• 2006

Entering into the new millennium, the Korean wine market has recorded the highest growth rate among the domestic alcoholic beverage market and been recognized as a rapidly emerging market with further escalation potential. Responding to the current drastic escalation of Korean wine market in terms of its volume, the present study scrutinizes the considerable wine-selection attributes that are related to individual wine consumer‘s characteristics including demographic variables. These attributes are also expected to be precursors of wine consumers‘ satisfaction. ANOVA results suggest that each demographical variable-gender, age, income level, and the frequency of wine consumption-pertains to specific wine-selection attribute(s). Likewise, wine consumers‘ characteristics are also associated with those attributes. As wine consumers are experienced, they rely less on information; rather, their selections tend to be dependent upon quality, value, contexts, and preferences. The subsequent multiple-regression investigating the relationship between wine-selection attributes and satisfaction signifies that quality, contexts, and preference attributes are the substantial antecedents of wine consumers‘ satisfaction. When consumers purchase a wine, "information on purchase" was the most important criterion for the Newcomers and the Outsiders, while the Connoisseurs mainly depended on "marketability", "wine values" and "viticulture environment". "Preference" attributes influenced the Aspirants the most in buying decision. The Newcomers and the Outsiders need more information before deciding to purchase as their wine knowledge was very limited. The Connoisseurs were likely to consider the quality as a more important factor than the price and it is necessary to develop high quality wine at a reasonable price in order to attract this group.

• Journal of the Korean association of regional geographers
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• v.11 no.5
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• pp.440-457
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• 2005

The purpose of this study was to examine the importance and satisfaction of exhibition and convention destinations from the MICE(meeting, incentive tour, convention, and exhibition) planners. Overall, four results were revealed from this study. First, considering the importance of selection attributes, soundproofing, lighting, temperature, A V facilities, the space of main convention hall and exhibition were the most important attributes. Second, hypothesis 1 suggested that there were statistically significant differences in the attributes of convention destination selection based on the socio-demographic variables. More specifically, a statistically significant was found in the 17 attributes out of 5 factors and 4 demographic variables. Third, hypothesis 2 suggested that there were statistically significant in the attributes of convention destination selection based on the planning characteristics of MICE. For instance, statistically significants were found 9 attributes out of 5 factors and the 4 planning characteristics. Fourth, the regional space of exhibition and convention was the most influential to the intention to revisit, followed by exhibition and convention facilities and use cost. And also, considering the recommendation to the other MICE planners who recently have used exhibition and convention centers, the facilities was the most influential, followed by use cost and tourism space surrounding exhibition and convention centers.

• Proceedings of the KIEE Conference
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• 2007.11b
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• pp.261-263
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• 2007

In the past, the power expansion planning (PEP) used least cost optimization. But PEP is required considering variable attributes. Because the environment of power industry changes very fast. This paper presents PEP using a multi-attribute decision method (MADM). MADM base on preference and utility.

• Korea Trade Review
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• v.44 no.1
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• pp.57-73
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• 2019

The purposes of this study are to propose exhibition planning and management skills of trade fair organizers and to provide suggestions on the direction of government policies related to fair items. This study analyzes exhibitor objectives of exhibition participation and exhibition choice attributes using revised importance-performance analysis. This research uses visitor level, organizer services and market attraction of hosting country, as explanatory variables affecting companies' trade show choices. It also utilizes sales and non-sales purposes of participants as variables of exhibitors' objectives. As a result of the empirical analysis and examination of prior research, this study presents some recommendations for exhibition organizers and governments of hosting countries. First, the exhibition organizer should consider the importance of the number of visitors. Thus, the organizer should focus on prior marketing activities to attract visitors. Second, the organizer should make a trade fair plan in compliance with participants' needs. Third, policy authorities should provide environment of free competition among players.

• Journal of Digital Convergence
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• v.13 no.10
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• pp.225-234
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• 2015

This study focused on building the convergence framework of decision-making for camping site selection attributes. The first stage of study is to identify the camping motivations. The camping motivations are composed of 5 factors. The second stage is to identify the camping site selection attributes. They are composed of 4 factors. The relationships between camping site selection attributes and camping motivations are examined through the multi-regression analysis. The camping site selection attributes were significantly influenced by thr type of camping motivation. Lastly, the relationship between camping site selection attributes and camper's satisfaction and behavioral intention are testified. The implications are that camping site operators and developers need to understand the segmented camping motivations and site selection attributes. They could be the guideline of implementing the developing planning strategies of camping site.

• Korean Management Science Review
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• v.13 no.3
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• pp.91-104
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• 1996

The basic idea of Quality Function Deployment(QFD) is to deploy the voice of customers into the final product through product planning, part planning, process planning, and manufacturing. In the product planning stage, which is the first stage of product development, customer attributes(CAs) are translated into engineering characteristics(ECs). Then, based on the relationship between CAs and ECs, the target values of ECs are determined. In the previous research, the process of analyzing these relationships is mostly subjective in nature. In this article, we formulate the process of determining the target values of ECs as an optimization model. That is, we first determine the relationship between CAs and ECs as cumulative logit models and construct constraints into which the company strategy as well as the needs of customers can be incorprated. Next, cost functions of ECs are developed, which are summed into an objective function. An algorithm to solve the formulated optimization problem is developed and illustrated with an example.

• Korean Journal of Computational Design and Engineering
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• v.2 no.2
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• pp.111-121
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• 1997

This study intends to develop a fixture planning module as a part of the planning system for cutting. The fixture module uses machine learning method to reuse previous failure results so that the system can reduce the repeated failures. Machine learning is one of efforts to incorporate human reasoning ability into a computerized system. A human expert designs better than a novice does because he has a wide experience in a specific area. This study implements the machine learning algorithm to have a wide experience in the fixture planning area as a human expert does. When the fixture planner finds a setup failure for the suggested operations by a process planner, it makes the process planner store its attributes and other information for the failed setup. Then the process planner applies the learned knowledge when it meets a similar case so that the planner can reduce possibility of setup failure. Also the system can teach a novice user by showing a failed setup with a modified setup.

• Journal of the Korea Safety Management & Science
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• v.19 no.3
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• pp.137-150
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• 2017

Logistic enterprises want to be competitive enterprises in fierce logistic market and worry about the securement of discriminative competitiveness for it. The standards for the judgement of logistic industry's maintenance of competitiveness are not only economic feasibility of logistic costs but also the satisfaction of users because well-established service system for variety and enhancement of logistic needs. Some of the quality attributes sufficiently satisfy expectation of customers, but not guarantee high-quality satisfaction. Therefore, it's difficult to grasp quality attributes with the existing approach of perceived service quality. Quality attribute model suggested by Kano is widely used as the concept is accurate, there is high possibility to be used at the stage of product/service planning, and it can be easily applied. Kano model has a limitation that quality attributes are classified with mode and the differences between strong property of the quality attribute and week property in quality attributes were ignored. Therefore, Timko calculated customer satisfaction coefficient with the result of Kano's survey and effects of customer satisfaction and unsatisfaction through relations between satisfaction coefficient and unsatisfaction coefficient. The purposes of this study are to use ASC, the average of satisfaction coefficient and unsatisfaction, as the satisfaction of quality characteristics, decide the importance of quality characteristics with TOPSIS, a representative multi-standard decision-making method, and calculate strategy improvement propriety of logistic service quality.

• Journal of Information Technology Services
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• v.15 no.4
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• pp.153-174
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• 2016

On account of multiple causes, including prolonged global economic crisis, addressing environmental pollution and the advent of hyper-connected society, a new paradigm called 'sharing economy' has rapidly emerged. Many startups have attempted to build promising business model based on the sharing economy concept. Nevertheless, successful cases are still very rare in the global level, except for Uber and Airbnb cases. Therefore, this study analyzes necessary causes and sufficient causes for successful settlements in the market through a comparative case analysis on digital matching firms in the sharing economy businesses. For the case study, we compare five successful cases (Uber, Airbnb, Kickstarter, TaskRabbit and DogVacay), three failure cases (Homejoy, Ridejoy and Tuterspree) and a platform cooperativism case (Juno) in accordance with six value attributes of business model including value proposition, market segment, value chain, cost structure and profit potential, value network and competitive strategy. We apply Boolean method to support controlled comparison and eliminate unnecessary attributes. The Boolean analysis result shows that value proposition, cost structure and profit potential, value network and competitive strategy are the essential attributes. Furthermore, the result indicates that each attribute is a necessary condition, where all four conditions should be met simultaneously in order to be successful. With this result, we discuss essential consideration for those who are planning startup based on the sharing economy business model.