• Proceedings of the Korean Society of Computer Information Conference
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• 2022.01a
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• pp.199-202
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• 2022

본 연구에서는 소비자들이 모바일 패션 쇼핑 앱을 선택할 때 고려하는 요인들을 AHP를 활용하여 계층적으로 분류하고 가중치를 계산함으로써 선택요인들의 우선순위를 도출하였다. 현재 모바일 패션 쇼핑 앱을 사용하고 있는 소비자들을 대상으로 설문자료를 수집하여 분석하였다. 본 연구 결과, 모바일 패션 쇼핑 앱의 1단계 선택요인들은 경제성, 정보성, 편의성, 신뢰성, 부가서비스로 구성되었고, 이들 중에서 경제성이 가장 중요한 요인으로 나타났다. 또한 1단계 요인과 2단계 요인의 가중치를 종합화한 결과에서는 쿠폰 발급 및 할인이벤트가 가장 중요한 요인으로 나타났다.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.201-211
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• 2013

This study compares Customer Satisfaction Index(CSI) and the weight for each dimension by applying various methods of weight calculation and attempts to suggest some implications. For the purpose, the study classified the methods of weight calculation into the subjective method and the statistical method. Constant sum scale was used for the subjective method, and the statistical method was again segmented into correlation analysis, principal component analysis, factor analysis, structural equation model. The findings showed that there is difference between the weights from the subjective method and the statistical method. The order of the weights by the analysis methods were classified with similar patterns. Besides, the weight for each dimension by different methods of weight calculation showed considerable deviation and revealed the difference of discrimination and stability among the dimensions. Lastly, the CSI calculated by various methods of weight calculation showed to be the highest in structural equation model, followed by in the order of regression analysis, correlation analysis, arithmetic mean, principal component analysis, constant sum scale and factor analysis. The CSI calculated by each method showed to have statistically significant difference.

• Culinary science and hospitality research
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• v.22 no.4
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• pp.81-94
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• 2016

The purpose of this study is to measure the relative importance of the factors that affect school to work transition that food service-related majors and workers recognize. To this end, this study composed such factors into a second hierarchy level of individual background, educational background, and preparation effort to enter labor market. The study made us of the analytic hierarchy process(AHP), which calculates the importance of each factor through the relative evaluation of each factor in the hierarchy. The results of analysis are as follows. First, in the second hierarchy level, effort to enter the labor market exhibited the highest relative importance. In the case of four-year college students, educational background had the highest relative importance. Second, in case of third hierarchy level factors relating to personal background, gender had the highest relative importance. As for educational background, the type of college had the highest relative importance. As to the effort to enter labor market, overseas working experience while in college and job searching channels had high relative importance, while vocational training experience had the lowest relative importance. Third, the analysis result of complex weighted value showed that the type of college had the highest complex weighted value. In future studies, the type of businesses and business conditions in the food service industry should be subdivided for an analysis of influential factors, and, based on this, customized career guidance should be made for specific career paths of each student.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.5
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• pp.2251-2258
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• 2012

This study compared the unweighted sample design, frequency weighted sample design and complex sample design to using 2009 Korea National Health and Nutrition Examination Survey in an effort to identify whether or not there is any difference in potential risk factors. Pearson chi-square test and Rao-scott chi-square test were applied to the analytic methods. As a result of analyses, all the variables were overestimated as significant risk factors in case of the unweighted sample design to which only the frequency weights were applied. In addition, there were differences in the confidence levels and results from the simple random sampling analysis and complex sample design to which no weight was applied. It is necessary to carry out the complex sample design rather than the analysis to which the frequency weights are applied, in order to ensure the findings to represent the whole population when our national statistics data is used.

• Journal of the Korean association of regional geographers
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• v.21 no.4
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• pp.751-763
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• 2015

Both the selection of indicators and weights for them are critical issues in the vulnerability assessment. This study is to assess the air pollution vulnerability focused on ozone for 249 local jurisdictions using weights calculated by the entropy methodology and then examine the applicability of the methodology. We selected indicators for air pollution vulnerability assessment and standardized them. Subsequently, we calculated weights of each indicator using the entropy method and then integrated them into the vulnerability index. The exposure indicators consider meteorological and air pollution factors and the sensitivity of the local jurisdiction include variables on vulnerable areas and environments. The adaptive capacity contains socio-economic characteristics, health care capacities and air pollution managemental factors. The results show that Hwaseong-si, Gwangjin-gu, Gimpo-si, Gwangju-si, Gunpo-si are among the highest vulnerabilities based on the simple aggregation of indicators. And vulnerability-resilience (VRI) aggregation results indicates the similar spatial pattern with the simple aggregation outcomes. This article extends current climate change vulnerability assessment studies by adopting the entropy method to evaluate relative usefulness of data. In addition, the results can be used for developing customized adaptation policies for each jurisdiction reflecting vulnerable aspects.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.01a
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• pp.195-198
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• 2022

본 연구는 OTT 서비스에 대한 선택요인들을 기존 연구를 바탕으로 도출하고, 각 평가 요소에 대한 가중치를 산출하기 위하여 AHP 분석모형을 제시하였다. OTT 서비스를 이용하는 고객들을 대상으로 수집된 자료를 분석한 결과 먼저 OTT 서비스의 1단계 선택요인에서는 다양성이 중요한 요인으로 나타났다. 그리고 각 단계별 가중치를 종합화한 결과에서는 오락이 가장 중요한 요인으로 나타났다. 이를 통해 소비자들이 OTT 서비스를 이용할 때 어떤 요인을 중요하게 고려하는지를 파악할 수 있을 것이다.

• Management & Information Systems Review
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• v.39 no.2
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• pp.145-162
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• 2020

This study examines problems with using the conventional analytic hierarchy process (AHP) method and proposes a method of weight adjustment as a modification of AHP. AHP is a method for transforming complex decision problems into a hierarchal structure, which is composed of elements in the upper and lower levels and then using pairwise comparisons to evaluate these elements and subsequently to obtain their relative weights. The elements' relative importance is reliable if the elements in the lower hierarchical levels (sub factors) that comprise each element in the upper hierarchical level (primary factor) are equal in number. In other words, if the number of sub factors is different for each primary factor, a serious error is expected as a result. Therefore, this study proposes a modification of AHP that can avoid such an error when AHP is used. Specifically, an error that arises from different number of sub factors (matrix size) can be overcome by making the number of sub factors identical for each primary factor. The resulting model has been validated through the applications in different AHP hierarchical structures.

• Journal of the Korea Society of Computer and Information
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• v.26 no.12
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• pp.309-321
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• 2021

In this study, we proposed a hierarchy process analysis model for Kiosk known as technology-based self-service, In addition, we deduced the selection factors based on the literature review and calculated the weight of the factors. To estimate the priorities of selection factors, we used the data collected from consumers who have used Kiosks at cafe or fast food restaurant. The results of the study showed that the convenience among the factors in the first stage, consisted of safety, design, convenience, informativity, and responsiveness, revealed the most important factor in both cafe and fast food restaurant. Synthetic calculation of the first stage factors and the second stage factors showed that simple procedure was the most important factor. The results of comparing the priorities between cafe and fast food restaurant showed that consumers assessed their priorities differently in simple procedures, nutritional information, and fast menu provision.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.2
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• pp.414-420
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• 2007

For a more convenient deduction of the weighted values in AHP of BSC using a spread sheet program, this study derived each weighted values through single and group calculations and it also compared the two calculations to verify mutual identities. Pairwise comparison is generally used in measuring performance of corporations or government organizations, but, many researches have been done without reliability verification due to difficulty in the deduction of weighted value. This trend, like using a wrong measurement, result in defective result of BSC. Therefore, this study presents various methods of single and group case measurement using spread sheet so that it can be utilized in practice. Thus, I expect this study's result be availed in BSC consulting or research of public organizations that have difficulty in measuring qualitative factors.

• Journal of the Korean Geographical Society
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• v.35 no.3
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• pp.437-454
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• 2000

본 연구의 목적은 공공시설물이지만 기피시설물이기 때문에 상당한 갈등을 일으키고 있는 쓰레기 소각장 입지를 선정하는데 있어서 GIS를 기반으로 다기준평가기법을 활용하여 보다 객관적이고 과학적이면서도 유연적인 후보입지를 추출하려는 것이다. 본 연구에서는 다양한 입지요인들을 표준화한 후 각 요인들이 갖는 상대적 중요도를 반영하는 가중치를 산출하고 의사결정 규칙을 적용하여 적합도 수준에 따른 후보입자들을 추출하였다. 또한 민감도 분석을 통하여 각 평가기준들에 대해 상이한 가중치를 부여하고 의사결정 규칙방법을 달리 적용하였을 경우 후보입지들의 적합도 순위에 어떠한 영향을 미치는가를 파악하였다. 이러한 방법을 통해 분석된 결과는 의사결정자들이 입지를 결정하는데 필요한 정보를 활용될 수 있으며, 따라서 GIS를 기반으로 하는 다기준 평가기법은 공간적 의사결정 지원시스템으로서으 GIS기능을 증대시킨다고 볼 수 있다.