• 한국공간정보시스템학회 논문지
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• 제7권3호
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• pp.33-44
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• 2005

최근 환경오염으로 인한 날씨의 변화, 자원 고갈에 따른 국제 유가의 상승 등 날씨 및 에너지 문제가 기업이나 국가 심지어 개인의 일상생활, 경제활동에 크나큰 영향을 미치고 있다. 이와 같은 이유로 대체에너지 중 태양 에너지 개발에 필요한 일사량 관리와 기후 데이터의 변화 특성 등을 근거로 지역성 규명에 관한 연구가 많이 이루어지고 있다. 그러나 아직까지는 데이터 마이닝을 이용한 지역적 특성에 따른 군집 및 체계적인 분석 데이터 검색 서비스가 효과적으로 제공되지 않고 있다. 따라서 이 논문에서는 국내에서 측정된 기후데이터를 저장 및 관리하기 위한 데이터를 모델링하고, k-means 기법을 이용하여 국내 기후 데이터를 지역적 특성에 따라 군집함으로써 체계적인 데이터 정보를 제공한다. 그리고 이러한 정보들이 날씨 마케팅에 어떻게 적용되는가에 대한 사례를 보인다. 제안 시스템은 기업의 날씨 마케팅 연구 및 이에 영향을 미치는 요소와 분석 정보를 제공할 수 있는 기본 데이터베이스 구축에 유용하게 활용될 것이다.

• 대한가정학회지
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• 제41권5호
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• pp.109-118
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• 2003

The purpose of this study was to analyze the utilization of Database Information System of Fashion Brands in Daegu area. The interviews, reviews of previous studies and the empirical investigations were processed for this study. The questionnaire was administered to 27 fashion brands in Daegu, Korea, from September to October in 2002. Data were analyzed by using frequency, mean and percentage utilizing SPSS statistical package. There were no brand differentiation in brand characteristics, items, target age and company size in Daegu Fashion brands. Awareness of Information Network and Usages of Internet marketing were in relatively low level. The rate of the brands possessing Web-site, POS system and Customer ID card were less than one third. More than a half of the brands had Customer Database system.

• 한국CDE학회논문집
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• 제18권6호
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• pp.407-416
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• 2013

Acting an important risk management tool for main contractors, pre-qualification has served a key marketing tool for subcontractors in various industries. Current industrial environment has required the time intensive pre-qualification ability to small and medium-size subcontractors as a matter of competitive business. In order to support the subcontractors, this paper proposes a database model for pre-qualification management system (PQMS) that automates the pre-qualification process by using information technologies. The modeling process consists of specifications for its requirements, functional modules, and a database model for the PQMS.

• 대한산업공학회지
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• 제27권1호
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• pp.30-36
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• 2001

We present a new algorithm for mining association rules in the large database. Association rules are the relationships of items in the same transaction. These rules provide useful information for marketing. Since Apriori algorithm was introduced in 1994, many researchers have worked to improve Apriori algorithm. However, the drawback of Apriori-based algorithm is that it scans the transaction database repeatedly. The algorithm which we propose scans the database twice. The first scanning of the database collects frequent length l-itemsets. And then, the algorithm scans the database one more time to construct the data structure Common-Item Tree which stores the information about frequent itemsets. To find all frequent itemsets, the algorithm scans Common-Item Tree instead of the database. As scanning Common-Item Tree takes less time than scanning the database, the algorithm proposed is more efficient than Apriori-based algorithm.

• 산경연구논집
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• 제13권11호
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• pp.39-46
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• 2022

Purpose: Visual communication is the act of using elements and components that can be seen. Some of the elements include images, illustrations, drawings, and videos. The purpose of this research is to check if there is the meaningful role of visual communication for emotional marketing plan. Research design, data and methodology: The present author firstly tried to obtain prior knowledge based on numerous previous literature through qualitative content method, investigating and searching related topic in 'Scopus' and 'Google Scholar' which is one of the most famous database. This methodology has already been proved the credibility and conformability by prior researchers. Results: The current study looks at four basic aspects that will assist in analyzing the findings and results from different peer-review articles. The section will cover social media, videos, podcasts, and ads. Conclusions: Several studies also affirmed that increased use of the internet and internet for marketing causes psychological issues among adolescents. Only adults should view some of the marketing ads, but if they pop into an adolescent browser, it may cause some harmful effects. Therefore, the study concluded that moderation of online visual adverts should be done to ensure only the targeted customers view the advert.

• 한국의상디자인학회지
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• 제23권1호
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• pp.87-102
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• 2021

The purpose of this study is to consider effective digital marketing strategies through analysis of luxury fashion brands. This study conducted both quantitative analysis and case studies of the brands Louis Vuitton, Gucci, Burberry, and Chanel. To measure the brand image of the luxury fashion brands, the survey was distributed to Millennials, and total of 277 responses were used for the final analysis by using SPSS 25.0 statistical program. Other than survey, this paper analyzed digital marketing strategies of luxury fashion brands through brand-related papers, website and social media of each brand, Samsung Designnet's database, and news posted on search engines. The results of this study are as follows: First, according to the result of examining brand image of luxury fashion brands, there was no significant difference between brands, except Gucci. Second, this study analyzed each luxury fashion brand to understand the characteristics of digital marketing, and common characteristics were identified. Third, by analyzing the brand image and digital marketing strategies of luxury fashion brands, it was confirmed that Gucci's brand image and digital marketing strategies were consistent, while there was a difference between Burberry's brand image and digital marketing strategy. Therefore, this article proposes the following digital marketing strategies that are suitable for luxury fashion brands. First, is the connection of on/offline channels. Second, is the use of AI technology. Third, is a blockchain-based platform.

• 한국데이타베이스학회:학술대회논문집
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• 한국데이타베이스학회 1999년도 춘계공동학술대회: 지식경영과 지식공학
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• pp.125-133
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• 1999

The objective of knowledge discovery and data mining lies in the generation of useful insights from a store of data. This paper presents a framework for knowledge mining to provide a systematic approach to the selection and deployment of tools for automated learning. Every methodology has its strengths and limitations. Consequently, a multistrategy approach may be required to take advantage of the strengths of disparate technique while circumventing their individual limitations. For concreteness, the general framework for data mining in marketing is examined in the context of developing agents for optimizing a supply chain network.

• International Journal of Advanced Culture Technology
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• 제5권1호
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• pp.70-75
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• 2017

Recent development of IT industry including smart phones and communication technologies has resulted in rapid growth of Internet of Things (IoT) technology and relevant markets. The access to IoT is becoming easier thanks to the boards and IoT products, such as Arduino and Raspberry Pi. Large-scale business sites use IoT technology to manage inventories, but small-scale business sites do not. In the present study, We ported Linux-based Raspbian to Raspberry Pi, It utilizes web server communication to control the Arduino through the application We used a color sensor to figure out the kind of inventory. We also built a database using MySQL to store the data. We used raspberry pi to check whether the proposed system works and apply it to small-scale business.

• 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.

• 한국문헌정보학회지
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• 제50권3호
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• pp.383-402
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• 2016

본 연구의 목적은 도서관마케팅 관련 국내외 연구의 저자 키워드 네트워크 분석을 통해 도서관마케팅연구의 경향성을 살펴보고 국외 연구와의 비교를 통해 국내 연구가 지니는 특성을 살펴보는데 있다. 분석 대상은 국내의 경우 문헌정보학분야 4대 학회지의 도서관마케팅 관련 연구의 저자 키워드이며 국외의 경우 Scopus데이터베이스에 수록되어 있는 문헌정보학분야의 도서관마케팅 관련 연구의 저자 키워드이다. 수집된 저자 키워드는 NetMiner4 소프트웨어를 활용하여 분석하였다. 분석 결과 1) 국내의 도서관마케팅연구는 주로 공공도서관을 대상으로 한 반면 국외의 경우 대학도서관을 대상으로 한 연구가 상대적으로 많았다, 2) 국내의 경우, 도서관마케팅연구의 주제가 다양화되지 못한 경향이 있으며 일부 소수 학자들의 학문적 관심에 의해 주도되는 경향성이 강하였다, 3) 국외의 경우, 디지털시대에 걸맞은 소셜미디어와 온라인 등을 통한 마케팅적 접근이 활발한 반면 국내의 경우는 이에 대한 관심이 미미하였다, 4) 국내외의 경우 모두 학교도서관에 대한 도서관마케팅연구자들의 관심은 많지 않은 것으로 나타났다.