• 한국의류학회지
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• 제26권8호
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• pp.1265-1273
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• 2002

The purposes of this study were to examine online store attributes sought and evaluated by online shoppers and to compare those attributes with those of off-line stores. Data were obtained from an online questionnaire survey to 850 online shoppers who were randomly selected from the panel of an online survey agency, and 615 responses were analyzed. The t-tests revealed that there were significant differences on store attributes sought and evaluated by shoppers between online and off-line stores. Price related attributes (i.e., low price and reasonable price) and store name were more important for online stores while product related attributes (i.e., assortment, fashion, and brand) were more for off-line stores. Price related attributes, promotion, and entertainment were highly evaluated on online stores while product related attributes and service were on off-line stores.

• KIEAE Journal
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• 제7권6호
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• pp.127-132
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• 2007

Recently, the cases of lawsuit are growing on residential defects. Though, mostly residential construction companies are trying to mitigate resident's dissatisfaction due to keep the company's brand image by operating customer service team, some representatives of apartment buildings initiate litigations without any negotiation with countrepartner companys incited by planned suit lawyers. But lawsuit takes longtime to sentence(about more than one year), and judged amount of money are very few (averaging about 14%) compared with asserted amount of it. To suggest the improving alternatives, the types and problems of defect lawsuit on apartment complex are analyzed.

• 비파괴검사학회지
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• 제23권3호
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• pp.280-284
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• 2003

사용하지 않은 새 금속 압력용기에 대하여, 사용 전 음향방출시험을 수행할 때 장비점검, 탐촉자간 거리, 탐촉자 위치, 전 측정 시스템 점검, 가압방법, 잡음 제거법 및 시험 결과의 평가 등에 대한 절차를 수립하고 현장 응용시험이 수행되었다. 일반적으로 음향방출 시험은 많은 잡음을 포함하는데 시험동안 관찰결과를 기록하여 평가 시 시간 필터링함으로서 잡음을 제거할 수 있었다.

• 한국식생활문화학회지
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• 제11권1호
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• pp.131-141
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• 1996

Food consumption patterns are predictors of nutritional status at all age levels and vary among and between different age groups. This study was designed to asses food habits and fast food eating patterns of college students in Ulsan area through questionnaries. Data from 330 useable forms was analyzed for percent differences, frequency of consumption, and statistical significance of differences between male and female students (T-test and chi square methods were utilized). Food habit score of female students was significantly higher than of male students. The reason for using fast food chain was 'convenience' or 'good taste'. The most preferred food by subjects was noodle or dumpling and least preferred food was pizza. In general, they had a higher satisfaction scores in taste and service of fast food and lower scores in amount and price of it. From this results it appears there is a need for developing domestic brand fast food to lower the price of fast food and giving the nutrition education for proper food selections and eating patterns.

• International Journal of Internet, Broadcasting and Communication
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• 제13권2호
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• pp.1-6
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• 2021

For competitive hotel business, the hotel must have a sound prediction capability to balance the demand and supply of hospitality products. To have a sound prediction capability in the hotel, it should be prepared to be equipped with a new technology such as quantum computing. The quantum computing is a brand new cutting-edge technology. It will change hotel business and even the whole world too. Therefore, we study the impact of quantum computing on supply chain management (SCM) and hotel performance. Toward the goal we have developed the research model including six constructs: quantum (computing) prediction, communication, supplier relationship, service quality, non-financial performance, and financial performance. The result of the study shows a significant influence of quantum (computing) prediction on hotel performance through the mediating role of SCM in the hotel. Quantum prediction is highly significant in enhancing the SCM in the hotel. However, the direct effect between the quantum prediction and hotel performance is not significant. The finding indicates that hotels which would install the quantum computing technology and utilize the quantum prediction could hugely benefit from the performance improvement.

• Journal of Information Processing Systems
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• 제15권3호
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• pp.500-519
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• 2019

The blooming of social media has simulated interest in sentiment analysis. Sentiment analysis aims to determine from a specific piece of content the overall attitude of its author in relation to a specific item, product, brand, or service. In sentiment analysis, the focus is on the subjective sentences. Hence, in order to discover and extract the subjective information from a given text, researchers have applied various methods in computational linguistics, natural language processing, and text analysis. The aim of this paper is to provide an in-depth up-to-date study of the sentiment analysis algorithms in order to familiarize with other works done in the subject. The paper focuses on the main tasks and applications of sentiment analysis. State-of-the-art algorithms, methodologies and techniques have been categorized and summarized to facilitate future research in this field.

• Asia Marketing Journal
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• 제15권4호
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• pp.213-222
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• 2014

MPC is a specialized CRM company providing one-stop service through contact centers and has built a No. 1 "MPC Brand" in the industry. Founded in 1991, MPC has expanded into CRM solutions and services by launching businesses with database marketing. On Dec. 12, 2005, MPC became listed as the first company in the CRM industry on KOSDAQ. Now, MPC reserves 2,932 seats nationwide. MPC provides inbound/outbound services through various channels, such as phone and e-mail, and analyzes operating results in various aspects to improve services and make suggestions. MPC offers specialized training based on analyses of customers' requirements. Also, MPC develops essential solutions for customer consulting and management. In this case, we describe how MPC succeeded in the Korean market and identify its key success factors. Also, we discuss the issues faced by contact centers and suggest solutions.

• Asia pacific journal of information systems
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• 제29권3호
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• pp.468-488
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• 2019

As the growth of online travel agencies (hereafter OTAs) accelerates, competition among hotels to gain exposure on the first page of OTA websites, and the financial burden, such as commissions hotels have to pay in return, are increasing. Therefore, to facilitate successful management in the tourism industry, it is important to establish what makes people continue the practice of using OTAs to book rooms in hotels and other accommodation outlets. By adopting the heuristic-systematic model (HSM), this study explores the factors that drive consumers' continued use of OTA and classifies them into heuristic cues (brand awareness, cost saving, and scarcity message) and systematic cues (recommendation quality and the ability to provide reputation). Furthermore, we divided the sample based on the location of hotels within and outside Korea, and investigated the different roles of the cues between two models. The results are expected to provide theoretical and practical implications for both OTAs and hotels.

• Journal of Information Technology Applications and Management
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• 제28권5호
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• pp.17-39
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• 2021

Indonesia's industrial application of digital technology is growing fast, especially in the application of mobile technology. About 1,700 digital startups are sprouting. PT Aplikasi Karya Anak Bangsa is one of those digital startups founded in 2010. This company is widely known, especially in Southeast Asia, for its products and services called 'Gojek' which was launched initially in 2015. Gojek began as a ride-hailing mobile-based application that later evolved into a Super App providing more than 20 different services in one single mobile application. After becoming Indonesian first unicorn company in 2016, Gojek now has become the first decacorn company in Indonesia, worth more than USD 10 billion since 2019. This paper aims to analyzes the technology industry in Indonesia and analyzes Gojek's background and history, its competitive status, and critical success factors. As a conclusion, we provide some advices for future development of Gojek in Indonesia and other countries in Southeast Asia's market. The advices include rebranding its overseas presence and the use of consistent brand identity across countries.

• 한국콘텐츠학회논문지
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• 제20권4호
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• pp.406-415
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• 2020

본 연구에서는 사회구조적으로 변화하는 인구구조에 따라 외식기업이 개발 및 출시하는 밀 키트(Meal Kit) 상품이 주요 수요층인 1인 가구에 대해 주관적 의견이나 인식 구조를 분석하여 유형별로 추출이 가능한 Q방법론을 적용하여 그 함의를 분석하였다. 본 연구의 주관적 인식 유형 분석 결과 총 4가지의 유형이 도출되었으며, 유형은 다음과 같이 각각 그 특이성에 따라 명명하였다. 제 1유형(N=6) : 외형평가 구매 유형(Appearance Assessment Purchase Type), 제 2유형(N=6) : 가격비교 구매 유형(Price Comparison Purchase Type), 제 3유형(N=10) : 브랜드 신뢰 구매 유형(Brand Trust Purchase Type), 제 4유형(N=2) : 간편조리 구매 유형(Easy Cooking Purchase Type) 으로 각 각 독특한 특징의 유형으로 분석되었다. 본 연구에서는 밀키트 제품이 주요 수요층인 1인 가구에 대해 주관적 의견이나 인식 구조를 분석하여 유형별 분석을 통해 추후 외식업체의 1인가구를 위한 외식상품개발 및 출시에 대한 방향성과 그 개선책에 대해 제안하며, 분석결과를 바탕으로 학문적 시사점을 제공하는데 목적을 두고자 한다.