• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.3
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• pp.654-659
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• 2007

This study suggests a measure method for measuring variables that are used for hotel corporations' CRM performance. For this purpose, I present a combined method between factor analysis and AHP(Analytic Hierarchy Process) analysis. Factor analysis gives us a result that shows a group of highly correlated variables and another group of less correlated variables. Thus, factor analysis can only give information of factor categorization. Although researchers add ANOVA analysis or regression analysis, these efforts can not connect its results with factor analysis. Therefore, In hotel CRM performance analysis, calculation of each factor's importance is strongly required. For that reason, I suggest a method that combines AHP analysis with factor analysis for Hotel CRM performance measurement.

• CRM연구
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• v.1 no.1
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• pp.3-22
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• 2006

As customer relationship management (CRM) has been increasingly adopted by corporations as a core business strategy, measuring performance of CRM is becoming an important managerial issue recently. In this study, we present a conceptual framework formeasuring CRM performance, and provide strategic priorities among the diagnostic perspectives and factors involved in the framework by analyzing their comparative weights. We first derived critical success factors of CRM from an extensive literature review and in-depth interviews with industrial and academic CRM experts, and categorized them into one of four different diagnostic perspectives. Then, we asked a group of CRM experts to evaluate each set of diagnostic factors in a pairwise fashion with respect to each perspective, computing their comparative weights by using the Analytic Hierarchy Process (AHP) technique. In terms of diagnostic perspectives, this study shows that customer perspective was the most critical perspective, whereas infrastructure was the least weighted perspective. The result also discloses that explicit goal and top management's attitude, expanding customer relationship, strengthening customer loyalty, and enhancing customer equity are the most important factors in infrastructure, CRM process, customer, and organizational performance perspective, respectively.

• The Journal of Information Systems
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• v.17 no.2
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• pp.137-154
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• 2008

Customer Relationship Management (CRM) is indispensable for companies in recent business environment, in which the customers are recognized as more valuable asset to increase the earning power of enterprise. For gaining competitive advantage, most companies want to maintain existing customer relationships and generate more profits with customers through long-term relationships. In this study, we developed the models which are designed to select CRM systems in financial institution, which is one of competitive sectors and undergoes rapid changes due to M&A(Merger and acquisition), innovation and reengineering in Korea. The selection model of CRM systems for financial institution was developed utilizing the Analytic Hierarchy Process (AHP) and the expert's knowledge were built up of three groups; researcher group, developer group, and user group. We found that there are significant deferences for the weights of criteria in our selection model according to the kind of experts. This study provides helpful guidance on how to assign appropriate weights to each criteria in selection models when financial institution introduce the CRM systems.

• Journal of the Korea Safety Management & Science
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• v.5 no.2
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• pp.99-109
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• 2003

This study tries to grasp common problems which most companies utilizing CRM are facing and present solutions to such problems in utilizing CRM. For these purposes, we try to determine the most important and most urgent factors in CRM utilization by using AHP, one of the Multi-criteria decision-making methods proposed by Satty. AHP is widely used for determining relative magnitude per evaluation item, i. e. priority on problems and is expected to make more systematic and objective evaluations than conventional methods do. Even in the present situation where any general criterion on CRM dose not exist, utilization of CRM is expected to be actively continued, which will cause many problems. In this regard, evaluating CRM counts. This study also tries to present a model applicable to such CRM evaluations

• 한국IT서비스학회:학술대회논문집
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• 2007.05a
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• pp.141-147
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• 2007

오늘날 다양하고 복잡해지는 고객들의 요구를 충족시키기 위해 고객과의 관계를 구축하고 유지하기 위한 고객관계관리(CRM)가 중요해지고 있다. 금융기관에서도 CRM이 중요해짐에 따라 금용 기관의 CRM 패키지 도입 필요성이 높아지고 있다. 본 연구에서는, 금융기관에서 고객관계관리를 위해 CRM 패키지를 도입할 때 고려해야 할 중요한 요소가 무엇인지 알아보고자 한다. 다기준 의사결정 모델 중 계층분석적 의사결정방법인 AHP 기법을 활용하여 요소들의 상대적 중요도와 우선 순위를 조사함으로써 금융기관에서 CRM 패키지를 도입하고자 할 때 가장 중요하게 고려해야 할 요소를 파악하고, 금융기관의 CRM 패키지 도입을 위한 가이드라인을 제시해 본다.

• Journal of the Korea society of information convergence
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• v.8 no.1
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• pp.1-11
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• 2015

Today in modern Marketing CRM and environment of Marketing of Marketing need a various strategy. Modern Marketing needs more than merchandise and service to survive. The understanding of market's trend is the most important thing in various environments. The flow of market is to make the reliable relationships between comsumer and CRM then Marketing is creating the value of the customer. According this study gives a basic establishment of marketing strategy about various customership and makes use of analytic data.

• CRM연구
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• v.2 no.2
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• pp.53-70
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• 2009

Understanding consumer behavior based on the analysis of the customer data is one essential part of analytic CRM. To do this, the analytic skills for data extraction and data processing are required to users. As a user has various kinds of questions for the consumer data analysis, the user should use database language such as SQL. However, for the firm's user, to generate SQL statements is not easy because the accuracy of the query result is hugely influenced by the knowledge of work-site operation and the firm's database. This paper proposes a natural language based database search framework finding relevant database elements. Specifically, we describe how our TableRank method can understand the user's natural query language and provide proper relations and attributes of data records to the user. Through several experiments, it is supported that the TableRank provides accurate database elements related to the user's natural query. We also show that the close distance among relations in the database represents the high data connectivity which guarantees matching with a search query from a user.

• CRM연구
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• v.4 no.1
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• pp.19-34
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• 2011

Recently, companies have interests in the adoption and diffusion of customer relationship management(CRM). And, as information and communication technologies and Internet technologies proliferate, they also have interests in e-CRM, which implements CRMusing online communication channels. Until now, many researchers have tried to identify the success factors of CRM and evaluate their relative importance. However, only a few studies have dealt with the success factors of e-CRM. For this reason, we aim at identifying and evaluating the success factors of e-CRM in order to provide the companies with the guideline for preparing the implementation of e-CRM. Our study adopts analytical hierarchy process(AHP) as a tool for evaluating these factors because it has been widely applied and validated for a long time. Whereas prior studies have analyzed the success factors from the organizational and technological perspective, our study analyzes them from the functional perspective. As a result, we found that the companies should manage all the CRM components including analytic-operational-collaborative CRM in good balance. Also, we found that the sufficient support from CEO, the acquisition of good quality customer data, and theonline processing capability for responding customers' requests effectively are important for the success of e-CRM.

• Analytical Science and Technology
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• v.25 no.6
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• pp.402-409
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• 2012

Quantitative analytical condition for arsenic in plastic materials by the flow injection-hydride generation-inductively coupled plasma-atomic emission spectrometry was studied. The plastic samples were dissolved by wet-acid digestion method and microwave-acid digestion method. The reproducibility and accuracy in this method was verified using of certified reference materials(CRMs) CRM-EC680k and CRM-EC681k. The analyical results agrees with certified value within the range of uncertainty. The results of CRM-EC680k wer 4.1~4.3 mg/kg (certified value $4.1{\pm}0.5$ mg/kg), and the results of CRM-EC681k were 28.9~30.6 mg/kg (certified value $29.1{\pm}1.8$ mg/kg).

• Journal of the Korea Safety Management & Science
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• v.8 no.2
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• pp.103-114
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• 2006

Today the usage of DB already becomes an important issue for many companies' survival. Especially, the companies which have adopted CRM could not gain the return to be expected because of the lack of understanding about the relationship with customers. Professor Schmitt introduced 'the complete CEM(Customer Experience Management) model', but no specific methodology for analysis was introduced. Therefore, in this study we use HOQ, GA, and ANP to build 'the complete CEM model' and present the integrated CEM model based on the integrated analytic process to help the company's decision about the stage to be begun first out of 5 stages of CEM and the priorities of investment in customer experiences.