• The KIPS Transactions:PartD
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• v.18D no.1
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• pp.57-66
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• 2011

Recently, the necessity of new methods of spatial data integration and analysis in CRM has been increased since it is acknowledged that about eighty percent of all data stored in corporate databases has a spatial component. But conventional CRM systems are either incapable of managing spatial data or are not user-friendly when doing so. This paper has designed and implemented spatially-enabled integration management system that can manage consistently both enterprise and spatial data through a legacy CRM system and object-oriented database and additionally support spatial analysis and map visualization for a gCRM. Through implementation, it is demonstrated that the proposed system can facilitate effectively spatial data management and analysis in a legacy CRM system.

• IE interfaces
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• v.25 no.1
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• pp.142-152
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• 2012

Recently, the postal service encounters the various changes in the overall mail environment including the reduction of letter volume, keen competition of the private parcel service and EMS, diversification of customers' demand and etc. In this environment, Korea Post is considering new concept of postal service in order to provide the mail service based on informatization and automation to a client and secures the predominance in competition. We analyze the current environment of postal service for applying the gCRM (Geographic Customer Relationship Management). We propose some possible application fields and present an efficient phased application plan for each field.

• The Korean Journal of Applied Statistics
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• v.18 no.3
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• pp.567-581
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• 2005

Geographical Customer Relationship Management (gCRM) is an integrated solution of Geographic Information System (GIS) and Customer Relationship Management (CRM). In gCRM, GIS is used to show multi-dimensional analytical results of customer information geographically. When customer information is geographically presented, more valuable information appears. In this research we briefly introduce gCRM and show real examples of customer segmentation applied to company.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2003.11a
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• pp.48-54
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• 2003

Most of current gCRM systems have focused on analysis of data using location information about customers. Many technological preconditions are required to implement functions for analysis in the gCRAM systems, but it isn't easy to satisfy them and this is preventing the expansion of gCRM. Therefore, some alternatives in which companies can satisfy preconditions for gCRM more easily or reduce the number of them need to be suggested. As one of those alternatives, we suggested new design of gCRM system which is combined with mobile CRM and uses new technology like P2P LBS. In this paper, we reviewed the present status of gCRM, P2P and LBS, and then proposed and implemented a prototype as a case about the expansion of application areas of gCRM.

• Journal of Korea Spatial Information System Society
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• v.7 no.2 s.14
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• pp.3-14
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• 2005

The purpose of this study is to present the role of NGIS(National Geographic Information System) and the development strategy for Business GIS in the ubiquitous society. We analyze the level of GIS technology with the ICT(Information Communication Technology) as well as GIS application trends especially in location-based circumstances. Also, we advocate not only making GIS contents to meet the international standards such as GML(Geography Markup Language) and TPEG(Transport Protocol Experts Group) but applying GIS as a killer application to oncoming diverse ICT areas including LBS(Location -Based Service), Telematics, ITS(Intelligent Transport System), gCRM(geographic Customer Relationship Management), DMB(Digital Multimedia Broadcasting), u(ubiquitous)-City and u-Town. Finally, we build a conceptual Business GIS model based on NGIS for QoS, standardization, R&D, education, and security.

• Spatial Information Research
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• v.20 no.4
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• pp.37-45
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• 2012

Moving forward on smart society, change of the way to solve the spatial issue used in information society is required. In order to be competitive and sustainable spatial information service, existing "spatial information open platform" strategy needs to be transformed into "spatial information social platform". The requirement for the spatial information open platform to be socialized and evolved into the spatial information social platform is investigated with respect to the characteristics of social platform P. Savalle(2010) suggested. Based on the investigation, the definition of spatial information social platform is formulated. Several roles of the government as a platformer to create and manage the spatial information social platform are suggested.

• Journal of the Korea Society of Computer and Information
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• v.16 no.11
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• pp.123-135
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• 2011

The domestic market of database in Korea is estimated to be over 3.663 trillion won. The data migration is getting to be more important along with the continuous growth of the database industry. g-CRM and private recommending function are examples of the service that can be given through coupling among customer database, product database, geographic information database, and others. The core infrastructure is also the database which is integrated, perfect, and reliable. There are not enough researches on efficient way of data migration and integrating process and investigation of migrated data though trends of database in IT environment as above. In connection with this issue, we have made a model for data migration on scientific and technological contents and suggest the result of data migration process adapting that model. In addition, we verified migration's exhaustiveness, migration's consistency, and migration's coherence for investigation of migrated data and database. From the result, we conclude data migration based on proper model has a significant influence on the database consistency and the data values correctness and is essential to maintain high qualified database.

• Journal of Korean Society for Geospatial Information Science
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• v.22 no.4
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• pp.21-30
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• 2014

Lately, new influentials have secured a large number of volunteers on social networks due to vitalization of various social media. There has been considerable research on these influential people in social networks but the research has limitations on location information of Location Based Social Network Service(LBSNS). Therefore, the purpose of this study is to propose a spatial detection methodology and application plan for influentials who make comments about diverse social and cultural issues in LBSNS using spatial statistical analysis methods. Twitter was used to collect analysis object data and 168,040 Twitter messages were collected in Seoul over a month-long period. In addition, 'politics,' 'economy,' and 'IT' were set as categories and hot issue keywords as given categories. Therefore, it was possible to come up with an exposure index for searching influentials in respect to hot issue keywords, and exposure index by administrative units of Seoul was calculated through a spatial joint operation. Moreover, an influential index that considers the spatial dependence of the exposure index was drawn to extract information on the influential areas at the top 5% of the influential index and analyze the spatial distribution characteristics and spatial correlation. The experimental results demonstrated that spatial correlation coefficient was relatively high at more than 0.3 in same categories, and correlation coefficient between politics category and economy category was also more than 0.3. On the other hand, correlation coefficient between politics category and IT category was very low at 0.18, and between economy category and IT category was also very weak at 0.15. This study has a significance for materialization of influentials from spatial information perspective, and can be usefully utilized in the field of gCRM in the future.