• 제목/요약/키워드: database marketing

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Cluster Analysis of Climate Data for Applying Weather Marketing (날씨 마케팅 적용을 위한 기후 데이터의 군집 분석)

  • Lee, Yang-Koo;Kim, Won-Tae;Jung, Young-Jin;Kim, Kwang-Deuk;Ryu, Keun-Ho
    • Journal of Korea Spatial Information System Society
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    • v.7 no.3 s.15
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    • pp.33-44
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    • 2005
  • Recently, the weather has been influenced by the environmental pollution and the oil price has been risen because of the lack of resources. So, the weather and energy are influencing on not only enterprises or nations, but also individual daily life and economic activities very much. Because of these reasons, there are so many researches about management of solar radiation needed to develope solar energy as alternative energy. And many researchers are also interested in identifying the area according to changing characteristics of climate data. However, the researches have not developed how to apply the cluster analysis, retrieval and analytical results according to the characteristics of the area through data mining. In this paper, we design a data model of the data for storing and managing the climate data tested in twenty cities in the domestic area. And we provide the information according to the characteristics of the area after clustering the domestic climate data, using k-means clustering algorithm. And we suggest the way how to apply the department store and amusement park as an applied weather marketing. The proposed system is useful for constructing the database about the weather marketing and for providing the elements and analysis information.

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Utilization of Database Information System in Daegu Fashion Brands (패션 업체의 DB 정보화 시스템 활용 실태 - 대구지역을 중심으로 -)

  • 권현주;구양숙
    • Journal of the Korean Home Economics Association
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    • v.41 no.5
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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.

Database Modeling for Pre-qualification Management System (Pre-qualification 관리 시스템을 위한 데이터베이스 모델링)

  • Do, Namchul;Park, JongJin;Lee, Jeongyoul;Lee, Jae Hyun
    • Korean Journal of Computational Design and Engineering
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    • v.18 no.6
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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.

An Efficient Tree Structure Method for Mining Association Rules (트리 구조를 이용한 연관규칙의 효율적 탐색)

  • Kim, Chang-Oh;Ahn, Kwang-Il;Kim, Seong-Jip;Kim, Jae-Yearn
    • Journal of Korean Institute of Industrial Engineers
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    • v.27 no.1
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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.

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The Role of Visual Communication for Emotional Marketing Strategy

  • HAN, Jung-Im
    • The Journal of Industrial Distribution & Business
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    • v.13 no.11
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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.

Analysis of digital marketing strategies of luxury fashion brands (럭셔리 패션 브랜드의 디지털 마케팅 전략 분석)

  • Park, Jisoo;Rhee, Young Ju
    • Journal of the Korea Fashion and Costume Design Association
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    • v.23 no.1
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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.

Data Mining in Marketing: Framework and Application to Supply Chain Management

  • Kim, Steven-H;Min, Sung-Hwan
    • Proceedings of the Korea Database Society Conference
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    • 1999.06a
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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.

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Implementation of IoT-based Automatic Inventory Management System

  • Choi, Eun-Soo;Kang, Min-Soo;Jung, Yong Gyu;Paik, Jean Kyung
    • International Journal of Advanced Culture Technology
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    • v.5 no.1
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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.

MPC: The Pioneer of Korean Contact Center Business

  • Kim, Yongjune;Kim, Hakkyun
    • Asia Marketing Journal
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    • v.15 no.4
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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.

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A Study on the Library Marketing Research Trends through Keyword Network Analysis: Comparative Analysis of Korea and Other Countries (키워드 네트워크 분석을 통한 도서관마케팅 연구 경향 분석 - 우리나라와 국외연구의 비교분석 -)

  • Lee, Seongsin
    • Journal of the Korean Society for Library and Information Science
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    • v.50 no.3
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    • pp.383-402
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    • 2016
  • The purpose of this study is to study library marketing research trends in Korea and other countries through the analysis of author keyword network of peer-reviewed journal articles. The author keyword was collected from four major LIS journals in Korea and Scopus academic database for other countries'. The data was analyzed using NetMiner4 software. The results of the study were as follows: 1) In Korea, lots of library marketing studies focused on public libraries. However, there was a range of library marketing researches focused on academic libraries in other countries, 2) In Korea, there was not a variety of subjects of library marketing studies and the studies were mainly led by a few scholars, 3) In other countries, many scholars paid attention to digital library marketing through social media and/or web, and 4) there little library marketing studies focused on school libraries both in Korea and other countries.