• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 1999.03a
• /
• pp.125-133
• /
• 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.

• Korean Management Science Review
• /
• v.17 no.2
• /
• pp.21-37
• /
• 2000

This study proposes a Web Decision Support System (DSS) as a new approach to resolving conflicts arising at the interface of production and marketing which have traditionally been in conflict with each other. Many researchers studied on the types and resolution mechanisms of conflicts among various organizations and organizational units. However, as global and distributed operations of firms based on the Internet become a commonplace business landscape, these conflict resolution mechanisms are found very difficult to be directly applied. From this perspective, the Web DSS proposed in this study can be claimed to be appropriate for the Internet-based distributed business operations. The current related literature on the production-marketing interface shows that the possible use of the Web DSS approaches has little been studied in spite of the decent amount of research conducted on the coordination of decision making between the two functions. This paper develops the architecture of the Web DSS and demonstrates its effectiveness based on the implementation results.

• International journal of advanced smart convergence
• /
• v.6 no.1
• /
• pp.44-49
• /
• 2017

In the modern technology era, it is possible to connect objects and the internet anytime and anywhere through IoT of hyper-connected society. Accordingly, a smart shopping cart was designed and realized by applying IoT. Therefore, this paper builds the IoT shopping cart system according to the trend of IoT environment.. When RFID is installed in the Arduino and the tagged item is inserted into the IoT shopping cart, the product information and price are displayed on the Arduino linked Raspberry Pi. We built a web server on the Raspberry Pi to handle this data, and built an App on the smartphone to implement the IoT shopping cart environment. Consumers can receive pricing and product information through smartphone apps through raspberry pie, can make quick calculations through smartphone, and provide various information to consumers through apps.

• Journal of the Korea Safety Management & Science
• /
• v.14 no.2
• /
• pp.245-252
• /
• 2012

The biggest difficulty the small and small business currently face is not to have the effective cusomer management system that is the computerization of management. This suggests their will to introduce data marketing in order to differentiate 'Customer Marketing' and 'One to One Marketing'. The potential needs as well as visible needs of customer should be considered in order to research and analyze the customer data. At this point mayor enterprises are paying much attention to Customer Segmentation and their related markets are expanding rapidly. I'll give a brief introduction to the Multi Criteria Importance-Performance Analysis and go into the problems that should be considered and which phase to emphasize when building this system.

• International Journal of Advanced Culture Technology
• /
• v.5 no.1
• /
• pp.70-75
• /
• 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.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2016.01a
• /
• pp.213-214
• /
• 2016

디자인경영과 서비스디자인 등은 전 산업분야에 걸쳐 이슈가 되고 있으며, 기업의 경쟁력으로서 중요한 요소가 되고 있다. 산업디자인 분야는 제품디자인, 시각디자인, 포장디자인 등으로 분류될 수 있다. 각 분야의 공통점은 제품의 생산부터 유통까지 연계되어 관리되어 지며, 최근에는 저작권, 사회적책임, 시장영향력에 대한 부가적인 업무가 요구되고 있다는 점이다. 본 논문에서는 산업디자인과 관련한 이미지와 오피니언에 기반한 빅데이터를 이용하여 디자인 공급자와 수요자 간의 컨설팅, 디자인제작, 유통, 후속조치 등이 통합적으로 관리될 수 있는 시스템을 제안한다.

• Asia Marketing Journal
• /
• v.15 no.2
• /
• pp.1-27
• /
• 2013

The main goal of this study is to examine the competition intensity in the Korean bakery franchise industry and to identify the core competencies of the industry's leading company, Paris Baguette. The frameworks of PEST analysis, Cross Impact analysis, a Five Forces Model, a Value Chain, and VRIO analysis. PEST and Cross Impact analysis were employed to investigate the industry's external environment, and the results indicated that 'increased attention on corporate's Creating Shared Value (CSV) activities' is the most influential factor among others. The analysis using the Five Forces Model found industry rivalry and substitutes were the greatest threats. Finally, the results of Value Chain and VRIO analysis identified four core competencies of Paris Baguette: its CEO's craftsmanship, e-procurement system, quality of dormant dough, and hub system. Multiple managerial implications are suggested for practitioners in the marketing area, especially in the saturated market environment.

• Korean Management Science Review
• /
• v.20 no.2
• /
• pp.113-133
• /
• 2003

This study developed the ISM (Electronic Store Success Model) by basing upon the revised D&M IS Success Model and reflecting the characteristics of marketing and e business. The theoretical rationale of this model was as following : 1) Though the revised D&M IS Success Model (2002) must be more logical and complete model than the original D&M IS Success Model (1992), it did not reflect characteristics of marketing and e business. 2) In the marketing studios, Service Quality has been suggested as one of basic strategies for success. 3) In e business studies, Trust has been emerging as a potentially important antecedent of e loyalty. 4) There has been a paradigm shift from satisfaction to loyalty in marketing emphasis. 5) Nowadays, ERP (Enterprise Resource Planning) has been pervaded in many organizations and has supported PCA (Profit Center Accounting) or Channel based Accounting, so it has not been difficult to evaluate financial performance of Electronic Store. The ESM that has six dimensions (System Quality, information Quality. Service Quality, Trust, Loyalty, Financial Performance) and expresses the causal relationship among them was proposed and was compared with BSC (Balanced Scorecard), WebQual, and EWAM (Extended Web Assessment Method). The results showed that the ESM coincides with BSC and contains dimensions of WebQual, and EWAM.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.6 no.4
• /
• pp.195-200
• /
• 2013

This paper proposes an SNS and Web Data Analytics System which can utilize a business marketing strategy by analyzing negative SNS and Web Data that can do great damage to a business image. It consists of the Data Collection Module collecting SNS and Web Data, the Hbase Module storing the collected data, the Data Analysis Module estimating and classifying the meaning of data after an semantic analysis of the collected data, and the PHS Module accomplishing an optimized Map Reduce by using SNS and Web data involved a Businesse. This paper can utilize this analysis result for a business marketing strategy by efficiently managing SNS and Web data with these modules.

• The Journal of the Korea Contents Association
• /
• v.10 no.6
• /
• pp.43-48
• /
• 2010

Useful emails influence on consumers' purchase behavior and activate them to visit retail stores. Regular contact with consumers by e-mail has positive effects on brand loyalty. However, email marketing has a limitation. Spam now accounts for over half of all e-mail traffic. The increase of email users has resulted in the dramatic increase of spam emails during the past few years. In this paper, we proposed an ontology-based system offering personalized email services to overcome such limitation. Our method is not the ontology-driven spam filtering, but a personalized content service considering personal interests and relations among people by using FOAF and domain ontologies. Our system was successfully tested in email marketing domain.