• 한국디지털정책학회:학술대회논문집
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• 2003.12a
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• pp.11-24
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• 2003

It is far more expensive for companies to acquire new customers than it is to retain customers. As a result, companies are turning to Customer Relationship Management (CRM) in order to make decisions about managing the relationship and the profitability of those customer relationships. CRM is a strategy that integrates the concepts of Knowledge Management, Data Mining and Data Warehousing in order to support the organization's decision -making process to retain long-term and profitable relationships with its customers. This paper examines the design implications that CRM poses to data warehousing. We then present a robust data warehouse schema to support CRM analyses and decisions. For example, the proposed schema could be used to calculate customer profitability and to identify social networks of influence between customers. The paper also discusses future areas for research pertaining to CRM data warehousing and data mining.

• The Journal of Information Technology and Database
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• v.6 no.1
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• pp.103-114
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• 1999

Marketing decision support systems rely on an underlying enterprise information infrastructure. In traditional business situations, a limited number of product lines and markets divided into large chunks were adequately served by existing management information systems. With the advent of an increasingly segmented focus on niche markets and individual customers, the demand for market information has grown exponentially. The practical solutions offered by such data warehousing tools as OLAP and data mining directly address this need, allowing organizations to discover new niches. Marketing decision support systems built on these foundations provide organizations with new avenues for creating specifically targeted marketing strategies and promotional campaigns. The contribution of this article lies in introducing a graphical framework for data warehousing applications. Based on prior research, the framework links data warehousing and database marketing. To illustrate the effectiveness of this approach, three case examples of successful database marketing conclude the paper.

• Asian Journal of Business Environment
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• v.7 no.4
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• pp.27-33
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• 2017

Purpose - The paper aims to explore the critical and uncover issues encountered to the supply-chain companies in launching halal based services in India. Research design, data, and methodology - After a meticulous review of relevant literature on the halal concept and halal logistics, researchers involved in a data collection by conducting semi-structured focus group interviews. Four groups with a maximum of 5 members each have chosen from the areas of transportation, warehousing, certification, and packaging. A total of 20 questionnaires were collected by applying purposive sampling method. Results - More than 95 percent of the chosen focus groups agreed that they know only about halal but don't have any exposure to halal logistics. The discussion has revealed that the adoption rate for halal transportation, warehousing, halal certification, and packaging is almost zero. The respondents were chosen only from transportation, warehousing, certification and packaging companies from south India which are operating throughout India. This research never attempts to be acquainted with the opinions of channel members who directly or indirectly involved in meeting customer demands. Conclusions - This is a ground-breaking effort aimed to study the critical issues related to Indian halal logistics which is beneficial to both logistic companies as well as to the academic world.

• The Journal of Information Systems
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• v.17 no.4
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• pp.51-77
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• 2008

Empirical studies on the implementation of data warehousing systems(DWS) are few while there exist a number of researches on the implementation of IS. This article intends to examine the factors affecting the implementation success. of DWS. It adopts the empirical analysis of a sample of 112 responses from DWS practitioners. The study results suggest several implications for researchers and practitioners. When the support from top management becomes great, the implementation success of DWS in organizational aspects is more likely. The support of resources increases the implementation success of DWS in project aspects, while it is not significantly related to the implementation success of DWS in organizational aspects. The user involvement in systems implementation, however, affects the implementation success of DWS in organizational and project aspects. Prototyping for the DWS implementation positively affects the implementation success of DWS. This indicates that the extent of understanding the requirements and the communication among project members increases also the implementation success of DWS. The extent of consulting activities in DWS projects increases the implementation success of DWS in project aspects. The continuous support of consulting activities and technology transfers enhances the adherence to the project schedule, preventing the exceeding of the project budget and ensuring the implementation of the intended system functions.

• Asia pacific journal of information systems
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• v.9 no.4
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• pp.89-106
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• 1999

Intranet is information technology for information sharing and collaborative work in geographically dispersed organizations, and has clear potentials to combine with other information technologies such as data warehousing and knowledge management. Data warehousing make it possible that the data stored for business analysis can most effectively be accessed by separating it from the data in the operational systems, and knowledge management is the paradigm to make the enterprise realize the best value of its knowledge assets, This paper is to suggest an architecture of knowledge sharing to combine knowledge management with data warehouse under the Intranet environment for the purpose of achieving the competitive advantages through the effective decision making in the modern companies, This paper also addresses the steps to implement this architecture.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2003.11a
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• pp.9-14
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• 2003

The major reason that spatial data warehousing has attracted a great deal of attention in business GIS in recent years is due to the wide availability of huge amounts of spatial data and the imminent need for turning such data into useful geographic information. Therefore, this research has been focused on designing and implementing the pilot tested system for spatial decision making. The purpose of the system is to predict targeted marketing area by discriminating the customers by using both transaction quantity and the number of customer using credit card in department store. Focused on the analysis methodology, the case study is aiming to use GIS and clustering for knowledge discovery. The system is a key section of the research of multi-dimensional and spatio-temporal analysis in the internet environment.

• Journal of the Korea Safety Management & Science
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• v.16 no.4
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• pp.175-183
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• 2014

This study examined the effective system, which manages LPG Gas Cylinder by inserting an electronic tag or module to store a production year, material specification, charging data, management data, and warehousing data. Therefore, the user can effectively monitor the checking date, reexamining the gas cylinder (or not), and manufacture and expiration date. Moreover, through this study, the user can simply monitor a production date, warehousing data, and charging frequency by connecting a mobile app and a gas cylinder in which has an electronic tag or module at any time.

• Asia pacific journal of information systems
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• v.8 no.3
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• pp.1-20
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• 1998

We propose an Executive Information Systems (EIS) Architecture for chief officers of the Air Force using data warehousing method. This architecture has two main proposes. The one is to provide the information for chief officers to control and command their organizations effectively by analyzing operation data at normal times. The other is to provide chief officers with the information about current situation so that they may make right and rapid decisions at emergency. The architecture introduced here is one that analyzes operational trends as well as current trends in a hierarchical organization environment. System analysis and design techniques for the Air Force EIS such as data flow diagram, system structure, entity-relational diagram, and third normal form of relational database were presented. After prototype screens are demonstrated, benefits of new EIS architecture were also discussed as a conclusion.

• Review of Korean Society for Internet Information
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• v.6 no.1
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• pp.82-93
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• 2005

• The Journal of Society for e-Business Studies
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• v.4 no.2
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• pp.1-22
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• 1999

In this paper, we review and classify shopping information services for electronic commerce in Korea. Shopping information services for electronic commerce can be divided into shopping mall information service and product information service. Shopping mall information service simply shows and suggests information on the shopping malls that it has in its data store. But product information service provides information about the items of the shopping malls the service has and therefore gives more powerful and convenient interfaces to users. Cutting-edge product information services can perform online comparison shopping facility, which searches and compares the items what the users want on the reasonable basis of economical criteria, such as price. Books, CDs, and Personal Data Assistant(PDA)s are the products of which the specification is clear enough to be described on the Web. And the comparison of the products by the information service is performed on the basis of "price" of the product item. The approach to design and implement product information service can be divided into two categories. The one is an application of data warehousing mechanism, which stores the product information on the regular basis of time and provide it when the users query over the Web-database gateway. The other approach is a shopping agent mechanism, which stores information on "how to shop" and the shopping agent collects the information of product items just after users query about the product and provide the information in real time or notify them by alerting service. Thirty nine shopping information services are compared and classified in this paper and they are extracted from "Naver" and "Yahoo! Korea". The final result shows that most services are just a simple shopping mall information service in growing stage, product information services with data warehousing are lack in product ontology in middle stage, and that product information services with shopping agent are in early stage.