• 한국의류학회지
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• 제18권2호
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• pp.234-243
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• 1994

This research has studied situational effects on the perceived risk and store choice behavior. Data were obtained from 388 females with full-time jobs living in Pusan. The results analyzed by Spearman's rank correlation analysis, analysis of variance(ANOVA), 1-test and discriminant analysis. The results of this study were as follows; 1. There were significant differences in percieved risk according to the clothing purchasing situations. Performance risk was perceived high in gift-shopping situation and time-pressured situation, and financial risk was perceived high in self-shoving situation. 2. There were particularly significant differences in store attributes evaluation according to the clothing purchasing situations. In self-shopping situation, price, quality and reliability, store loyalty were evaluated as important store attributes. In gift-shopping situation, quality and reliability, product iuomation and in time-pressured situation, store loyalty and product information were evaluated as important store attributes. 3. Consumers preferred national brand franchise stores in self-shopping situation. They preferred department stores in gift-shopping situation and time-pressured situation. The types of selected store were mainly affetted by shopping convenience and location convenience.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권3호
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• pp.1071-1090
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• 2016

Most of scheduling methods in the Grid only consider one special attribute of the resource or one aspect of QoS (Quality of Service) of the job. In this paper, we focus on the problem that how to consider two aspects simultaneously. Based on the requirements of the jobs and the attributes of the resources, jobs are categorized into three kinds: CPU-overload, memory-overload, and bandwidth-overload jobs. One job may belong to different kinds according to different attributes. We schedule the jobs in different categories in different orders, and then propose a scheduling method-MTS (multiple attributes scheduling method) to schedule Grid resources. Based on the comparisons between our method, Min-min, ASJS (Adaptive Scoring Job Scheduling), and MRS (Multi-dimensional Scheduling) show: (1) MTS reduces the execution time more than 15% to other methods, (2) MTS improves the number of the finished jobs before the deadlines of the jobs, and (3) MTS enhances the file size of transmitted files (input files and output files) and improves the number of the instructions of the finished jobs.

• 한국프랜차이즈경영연구
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• 제10권2호
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• pp.49-58
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• 2019

Purpose - As the growth potential of the cultural contents industry steadily grows, the cinemas industry is growing fast especially due to popularity and commerciality. The recent in the cinemas industry is evolving on multiplex cinemas that combine cultural facilities such as theaters, restaurants, and shopping centers. Due to the rapid growth of multiplex cinemas, many researchers have studied the characteristics of visiting customers in Korea. Among them, selection attribute of multiplex cinemas, including the service quality and physical environment, is important because it may examines the cause of customer 's behavior. Thus, this research focuses on the effects of the selection attributes of the multiplex cinemas on customer satisfaction and their loyalty. This research suggests the guidelines for how cinemas should manage their customers and build their customers satisfaction and loyalty that improve business performance. Research design, data, and methodology - This study tests the structural relationship between selection attributes of multiplex cinemas, customer satisfaction, and loyalty. selection attributes of multiplex cinemas divide into five sub-dimensions such as movies facility quality, services, cleanliness, accessibility, and snack bars quality. In order to examine the purposes of this research, research model and hypotheses were developed. All constructs were measured with multiple items developed and tested in the previous studies. The data were collected from 100 students in their 10-20s and were analyzed using SPSS 22.0, SmartPLS 3.0 and fsQCA program. Result - The findings of this research are as follows. First, all selection attributes except cleanliness have significant positive impacts on customer satisfaction and loyalty. Second, customer satisfaction has significant positive impact on loyalty. Third, as a result of fsQCA, high satisfaction and high accessibility were the necessary conditions on loyalty. Fourth, the necessary conditions for male and female groups were different. Conclusions - The implications of this study are as follows. Overall, multiplex cinemas should manage selection attributes basically regardless of the type of theater. Especially, cleanliness was not significant, but the customer probably consider it an essential and basic factors. Also, they are able to manage the selection attributes differently depending on the type of gender. For the male customers, it is effective that centralized strategy and for female customers, it is effective that emphasized the multiplex cinemas image.

• 산업경영시스템학회지
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• 제42권4호
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• pp.203-210
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• 2019

Recently, a number of researchers have produced research and reports in order to forecast more exactly air quality such as particulate matter and odor. However, such research mainly focuses on the atmospheric diffusion models that have been used for the air quality prediction in environmental engineering area. Even though it has various merits, it has some limitation in that it uses very limited spatial attributes such as geographical attributes. Thus, we propose the new approach to forecast an air quality using a deep learning based ensemble model combining temporal and spatial predictor. The temporal predictor employs the RNN LSTM and the spatial predictor is based on the geographically weighted regression model. The ensemble model also uses the RNN LSTM that combines two models with stacking structure. The ensemble model is capable of inferring the air quality of the areas without air quality monitoring station, and even forecasting future air quality. We installed the IoT sensors measuring PM2.5, PM10, H2S, NH3, VOC at the 8 stations in Jeonju in order to gather air quality data. The numerical results showed that our new model has very exact prediction capability with comparison to the real measured data. It implies that the spatial attributes should be considered to more exact air quality prediction.

• 한국문헌정보학회지
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• 제50권3호
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• pp.267-292
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• 2016

본 연구는 이용자의 관점에서 대학도서관 서비스 품질을 이해하고 이를 분석하는 방법을 제시하는 것이 목적이다. 이를 위해 이용자가 대학도서관에서 '무엇'을 이용했는지가 아닌 대학도서관 서비스를 이용하는 그 '과정'에 주목하였다. 연구 참여자들의 구술면담자료를 근거이론 방법으로 서비스 품질요소를 도출하여 LibQual+ 구성차원과 비교하였다. 그 결과 (1) 이용자의 정서적 부분과 관련된 품질요소, 이용자 맞춤서비스와 관련한 '서비스 고객화'가 도출되었고, (2) 실질적인 이용자 요구가 좀 더 구체적으로 분석되었다. 도출된 품질요소에 대한 속성과 중요도는 KANO와 AHP를 적용하여 분석하고 서비스 품질요소를 차별화하는 방안을 모색하였다.

• 한국조리학회지
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• 제21권6호
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• pp.76-90
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• 2015

본 연구는 온라인 쇼핑몰의 HMR 선택속성이 만족과 재구매의도에 미치는 영향을 분석하기 위해 부산지역에 거주하는 일반인을 대상으로 조사를 실시하였고, 총 252부 유효한 설문지를 실증분석하였다. SPSS 18.0A을 사용하여 인구통계학적 특성을 설명하기 위해 빈도분석을 실시하였다. 또한, 측정 항목의 타당도 및 신뢰도 검증을 위해 요인분석 및 신뢰도 분석을 하였으며, 본 연구에서 제시한 가설을 검증하기 위해 회귀분석을 실시하였다. 본 연구 결과는 간편성, 포장 및 브랜드, 기호성, 가격은 유의한 영향을 미치는 것으로 나타났고, 음식의 질은 유의한 영향을 미치지 않는다고 나타났으며, 고객 만족이 재구매의도에 유의한 영향을 미치는 것으로 나타났다. 따라서 고급스러운 포장과 디자인을 개발하고, 저렴한 품질보다는 고부가가치의 브랜드 전략이 필요할 것으로 판단된다.

• 한국기술혁신학회:학술대회논문집
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• 한국기술혁신학회 2001년도 추계학술대회
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• pp.169-186
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• 2001

신제품 개발과정에 대한 전반적인 흐름에 대해서는 기존의 연구가 다양하게 이루어져왔으나 구체적으로 어떠한 방법론이나 도구를 사용하여 시행하는가에 대해서는 논의가 미미하였다. 따라서 본 연구에서는 신제품 개발시 시장에서 생존가능한 제품속성과 가격을 결정하는 방법으로서 계량경제학적 헤도닉 방법론을 대체할 DEA 모델을 제안하고자 한다. 제품속성과 가격이 이루는 곡면이 유연하게 형성되도록 QC-DEA를 사용하고 거기에 제품속성에 대한 소비자의 선호체계를 반영하기 위하여 AR을 도입하여 AR-QC DEA라는 모델을 만들었다. AR-QC DEA는 모수적 방법론의 한계를 극복할 뿐만 아니라 제품마다 다른 잠재가격을 제시하기 때문에 신제품 개발시 제품속성과 가격의 조합에 대해 많은 정보를 제공해 줄 수 있고 또한 그렇게 만들어진 신제품이 과연 시장에서 생존할 수 있는가를 손쉽게 모의테스트 할 수 있다. 마지막으로 노트북 컴퓨터 제품에 대한 AR-QC DEA의 실증연구를 통해 AR-QC DEA가 충분한 현실설명력을 가짐을 볼 수 있다.

• 한국의류산업학회지
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• 제11권3호
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• pp.390-398
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• 2009

The research purposes are (1) to identify male market segmentation based on fashion involvement, (2) to compare purchase intention of clothing items and store attribute evaluation at two different retail formats, department store and internet shopping mall, and (3) to compare the influence of store attributes on intention to purchase fashion products at two retail formats among segments. The data are collected from 275 male consumers through internet research institute. The major results of this study are as follows. First, the dimensions of fashion involvement are identified into external involvement and internal involvement. Male respondents present high mean scores on external involvement items, emphasizing social roles of clothing. Two involvement factors generate three market segments: high involvement group(32.4%), external involvement group(44%), and low involvement group(23.6%). Second, high involvement group shows higher mean scores on purchase intention of seven clothing items than low involvement group. Third, department store attributes are identified into four factors, product assortment, quality per price, service, and symbolic image, while internet shopping mall includes assortment & convenience, quality per price, and symbolic image. High involvement group again presents higher mean scores on each retail attribute factor than low involvement group. Finally, quality per price is the most significant variable to explain the purchase intention at department store among three market segment, whereas assortment & convenience and quality per price are important predictors to increase purchase intention at internet shopping mall. However, relative importance of each attribute variable is different among three involvement groups.

• 한국식생활문화학회지
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• 제32권6호
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• pp.549-557
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• 2017

As many companies are performing brand management as a marketing strategy to establish long-term relationships with their customers, consumers decide the actual purchasing behavior by understanding the brand attributes of the relevant company based on an evaluation standard of the products. This paper provides the basic data for improving the competitiveness of the coffee shop market continuously, and analyzes the influential relationships between each variable by limiting the brand attributes of the coffee shop and the price fairness factor that would be expected to affect the consumers' purchasing behavior as the cause variables. The results showed that the-out of brand attribute factors of the coffee shop, the brand awareness and perceived quality had significant effects on the price fairness while the influence of the shop image on the price fairness was not verified. In addition, all the brand awareness, shop image, and perceived quality had significant effects on the purchasing behavior while the statistical significance between price fairness and purchasing behavior was verified. The rationality of the price presented by the coffee shop could be judged depending on the quality perceived by the consumers. Similarly, once consumers classified the propriety of price and then perceived that a suitable price had been set up regarding the quality and service provided by the coffee shop, it was highly possible for them to include it in their actual purchasing behavior, despite the higher price than other brands'. Further research on the psychological variables affecting the purchasing behavior by securing more diverse consumers to understand their purchasing behavior for a wide range of research subjects and the generalization of research results, will provide useful data for establishing marketing measures necessary to form strong relationships between consumers and brand in the currently-saturated coffee shop market.

• 한국비블리아학회지
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• 제35권1호
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• pp.127-148
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• 2024

본 연구는 국내 유통 전자출판물의 납본 및 수집을 위한 데이터의 속성과 속성값의 표준화 방안과 정책 및 제도적 고려사항을 제시하고자 하였다. 연구 결과, 필수 및 선택 속성은 총 21개가 도출되었으며, 이는 국립중앙도서관 납본 및 수집 업무 담당자들의 설문조사 및 FGI 결과를 바탕으로 선정되었다. 데이터 품질 검증 과정에서 추가적으로 필요한 속성이 발견되어, 전자책, 오디오북, 웹툰, 웹소설 등 자료유형별로 필수 및 선택 속성을 구체화하였다. 속성값의 표준화는 ISO 8601 규칙에 따른 날짜 및 시간의 표기, 파일 형식과 성인 여부 등 제한된 범위의 속성값의 명확한 지정, 제목과 관련된 정보의 상세한 기술 등을 포함하였다. 정책 및 제도적 고려사항은 표준화된 메타데이터 요구사항의 확립, 지속적인 데이터 품질 관리 및 모니터링 체계의 구축의 필요성을 제시하였다.