• Title/Summary/Keyword: Customer Analysis

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The Structural Relationship of Customer Data Integration and CRM Performances (고객 데이터 통합과 CRM성과간의 구조적 관련성)

  • Kang Jae-Jung;Moon Tae-Soo
    • The Journal of Information Systems
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    • v.15 no.3
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    • pp.87-106
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    • 2006
  • The customer-focused enterprise is interested in integrating every record of an interaction with a customer. This study is to investigate the structural relationship of data integration customer analysis capability, marketing & sales capability, customer service capability, and CRM performance. 205 survey data were collected from the company which implemented the CRM package. SEM analysis shows that data integration has influence on the CRM performance through the improvement of customer analysis capability, marketing 8t sales capability, and customer service capability. The revised model for further goodness-fitting model shows that data integration has influence on the improvement of customer analysis capability, marketing & sales capability, and customer service capability. but customer analysis capability has indirect influence on CRM performance through the improvement of marketing & sales capability, customer service capability.

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A Hybrid Approach Based on Multi-Criteria Satisfaction Analysis (MUSA) and a Network Data Envelopment Analysis (NDEA) to Evaluate Efficiency of Customer Services in Bank Branches

  • Khalili-Damghani, Kaveh;Taghavi-Fard, Mohammad;Karbaschi, Kiaras
    • Industrial Engineering and Management Systems
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    • v.14 no.4
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    • pp.347-371
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    • 2015
  • A hybrid procedure based on multi-Criteria Satisfaction Analysis (MUSA) and a Network Data Envelopment Analysis (NDEA) is proposed to evaluate the relative efficiency of customer services in bank branches. First, a three-stage process including sub-processes such as customer expectations, customer satisfaction, and customer loyalty, is defined to model the banking customer services. Then, fulfillment of customer expectations, customer loyalty level, and the customer satisfaction degree are measured and quantified through a multi-dimensional questionnaire based on customers' perceptions analysis and MUSA method, respectively. The customer services scores and the other criteria such as mean of employee evaluation score, operation costs, assets, deposits, loans, number of accounts are considered in network three-stage DEA model. The proposed NDEA model is formed based on multipliers perspective, output-oriented, and constant return to scale assumptions. The proposed NDEA model quantifies and assesses the total efficiency of main process and assigns the efficiency to customer expectations, customer satisfactions, and customer loyalties sub-processes in bank branches. The whole procedure is applied on 30 bank branches in IRAN. The proposed approach can be used in other organizations such as airports, airline agencies, urban transportation systems, railway organizations, chain stores, chain restaurants, public libraries, and entertainment centers.

The Effect of the Social Servicescape on the Customer Satisfaction, Customer Trust, and Customer Loyalty in Japanese Restaurants (일식전문점의 사회적 서비스스케이프가 고객만족, 고객신뢰도, 고객충성도에 미치는 영향)

  • Park, Se-Hwan;Yoo, Young-Jin
    • The Journal of the Korea Contents Association
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    • v.19 no.10
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    • pp.698-711
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    • 2019
  • The purpose of this study was to investigate the effect of social servicescape on customer satisfaction, customer trust, and customer loyalty. Data were collected from 311 adults who lived in Daegu where they had used Japanese restaurants. For data analysis, frequency analysis, factor analysis, regression analysis and multiple regression analysis were used. Through the factor analysis, the social servicescape of Japanese restaurant was identified as two components of human service and customer similarity. As a result of the multiple regression analysis, two components of social servicescape have positive effects on customer satisfaction and customer trust, and have a partial positive effect on customer loyalty. The results of regression analysis showed that customer satisfaction had a positive effect on customer trust and customer loyalty. In addition, customer trust has a positive effect on customer loyalty. The results of this study confirmed the influence of social servicescape on Japanese specialty restaurants and suggested practical and theoretical implications.

E-mail Marketing Customer Strategy to Application of e-Business (e-비즈니스의 전략적 활용을 위한 이메일마케팅 고객전략)

  • Kim, Yeon-Jeong
    • 한국디지털정책학회:학술대회논문집
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    • 2005.11a
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    • pp.45-60
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    • 2005
  • The purpose of this study is to classify customer by e-mailing responsiveness on time-series analysis and testify the effectiveness of grouping by ROI analysis. Response recency, response frequency and Activity(RFA) of e-mailing systems were adapted for Customer segmentations. ROI analysis were consisted of open, click-through, duration time, personalization, conversion rate and email loyalty index of email systems. Major findings are as follows: RFA analysis is used for customer segmentations that is fundamental process of e-CRM applications. Customer segmentations were loyal customer, odds customer, dormant customer, secession customer and observation customer by RFA grouping. Loyal customer group has high point in all ROI index compared to other groups. These results indicated that customer responsiveness of e-mailing systems were appropriate methods to grouping the customer with demographic variables. Therefore, effective e-mailing marketing strategy of e-Biz have suitable active DB and Behavior targeting is best approach to enforcing the target e-mailing marketing.

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The Case Study of Customer Delight Index Contents Model through Cater ing Service Industry

  • Yang, Ya-Yun;Lee, Sung-Pil
    • Journal of Korea Multimedia Society
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    • v.19 no.8
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    • pp.1574-1586
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    • 2016
  • The aims of this research is to build Customer Delight index contents model for measuring the influential factors - Customer Delight and identify the relationship among Customer Delight, Customer Satisfaction and Customer Loyalty. Customer Delight hypothesis model was proposed by Catering Service Industry of Starbucks and validate the final questionnaire; 7 point Likert scale was used in the questionnaire, Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) are used to analyze the reliability. And path analysis was used to evaluating the final hypothesis model. The results of this research was that the customer Self-involvement can lead to high awakening level and it also bring positive emotion to the customer. Awakening Level and positive emotion were the key factors for the Customer Delight. Instead of customer expectation, Customer Delight is based on customer awakening level and positive emotion which is different from Customer Satisfaction model. It is clearly to see the discrepancies between Customer Delight and Customer Satisfaction.

A Simulation Study on Dispatching Rule Using Customer Clustering Method (고객 클러스터링 기법을 활용한 할당규칙의 시뮬레이션 연구)

  • Yang, Kwang-Mo;Park, Jae-Hyun;Kang, Kyong-Sik
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.29 no.1
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    • pp.26-33
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    • 2006
  • The potential needs as well as visible needs of customer should be considered in order to research and analyze of the customer data. The methods to analyze customer data is classified into customer segmentation, clustering analysis model, forecasting customer response probability model, analysis of the customer break rate model and new customer analysis model by the purpose. In this study, we developed the CW-CLV (Correlation Weight Customer Lifetime Value)method that used AHP(Analytic Hierarchy Process)rule for enhance the reliability of customer data and quantitative analysis of the customer segmentation, based on CLV(Customer Lifetime Value). We suggest to new variables and methodology from determined CW-CLV coefficients, because all of companies respect to the diversified customers classification and complexity of consumers needs. Finally, we unfolded any company's scheduling added new methodology using simulation and leaded conclusion about the new methodology.

The Effect of Customer Satisfaction and Customer Loyalty with Relational Benefits on the Internet Shopping Mall (Part I) (인터넷 쇼핑몰에서의 관계혜택이 고객만족도와 고객충성도에 미치는 효과 (제1보))

  • Go, Eun-Ju;Yi, Soo-Kyung;Kim, Seon-Sook
    • Journal of the Korean Society of Clothing and Textiles
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    • v.33 no.3
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    • pp.467-476
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    • 2009
  • The purpose of this study is to investigate the effect of customer satisfaction and customer loyalty with relational benefits on the Internet shopping mall. For the study, utilizing the convenient sampling method, the sample of study was composed of female and male adults aged between 20 and 30 living in Seoul metropolitan area who had experienced purchase of fashion products on the web. Of 350 distributed, 311 useful questionnaires were returned. The survey research design was employed with structured questionnaire. For data analysis, descriptive statistics, factor analysis, reliability analysis, cluster analysis and multiple- regression analysis were used. The results of this study are as follows: Psychological benefits had higher influence than other relational benefits(social benefits, customization benefits, economic benefits) on the both customer satisfaction and customer loyalty positively. There was a high relationship between the customer satisfaction and the customer loyalty. The customer satisfaction had a positive influence on the customer loyalty. And social benefits had the least influence among the sub-factors of relational benefits on the customer satisfaction. Also, customization benefits had the least influence among the sub-factors of relational benefits on the customer loyalty.

The Effect of Department Store CRM on Customer Satisfaction and Loyalty -Focused on clothing product customers in Deajeon area- (백화점 CRM이 고객만족과 고객충성에 미치는 영향 -대전지역 의류제품 고객을 중심으로-)

  • 박선희;박혜선
    • Journal of the Korean Society of Clothing and Textiles
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    • v.28 no.8
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    • pp.1186-1195
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    • 2004
  • The purposes of this study were to investigate the factors of CRM activity and the difference in CRM activities of department stores and to analyze the effect of CRM activities on customer satisfaction and loyalty. Investigators interviewed the buyers of three department stores in Daejeon area and surveyed 468 people aged over 20 who did shopping those stores. The data were analyzed with factorial analysis, multiple regression analysis, path analysis, ANOVA, Scheffe Test, etc., using the SPSS 10.0. The results of this study were: 1) Six factors were identified: 'benefit & information', 'service', 'customer invitation', 'customer contact', 'special management', and 'purchase-related help'; 2) CRM activities of three department stores were different, and department store buyers and customers were different in perception on CRM activities; and 3) Customer satisfaction was affected by the CRM factors like 'service', 'customer invitation', 'purchase-related help', 'benefit & information', and 'customer contact' Customer loyalty were affected directly by customer satisfaction, 'benefit & information' and 'service', and indirectly by 'customer invitation', 'purchase-related help', 'customer contact' through customer satisfaction.

Analysis of the Factors Affecting Customer Satisfaction and Customer Loyalty in a Family Restaurant Chain (체인 패밀리 레스토랑의 고객 만족 및 고객 충성도에 미치는 요인 분석)

  • Kim, Soon-Hong;Yoo, Byoung-Kook
    • Journal of Distribution Science
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    • v.13 no.5
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    • pp.103-111
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    • 2015
  • Purpose - When it comes to first impressions of family restaurants, people basically think of the following factors: cozy, a refreshing space, indoor lighting, atmospheric music, the best-quality service through mutual interactions with employees, birthday events, follow-up customer management, brand image, and many others. Focusing on such family restaurants characteristics, with consumption experience and customer satisfaction determined as mediator variables, this study looks into the selection factors that affect customer loyalty when choosing a family restaurant. Subsequently, the study conducts an empirical analysis of these selection factors with the greatest influence. Research design, data, and methodology - This study analyzed 200 total surveys of family restaurant customers including college students, workers, housewives, and others. The survey was conducted over two weeks in May 2014. For statistical processing, SPSS 21 was used for factor analysis and reliability analysis as well as AMOS for structural equation analysis. In terms of a variable that would influence either consumption experience or customer satisfaction at the restaurants, the study introduced the concept of customer equity. The study designed a model based on a hypothesis developed using the following factors: customer encounter service value, customer convenience value, brand equity, relationship equity, and other factors defined as components of customer equity by Rust et al. (2000) determined as independent variables as well as with customer experience and customer satisfaction set as mediator variables. The hypothesis, after all, assumed that customer loyalty would be positively (+) influenced. Results - The analysis results from the study reported that brand value, customer encounter service value, and relationship value have positive (+) effects on consumption experience and customer satisfaction. However, as for customer convenience value, this turned out not to have a statistically significant influence on consumption experience and customer satisfaction. In regard to a relation between consumption experience and customer satisfaction, the results showed that the former affects the latter, and in terms of intervening variables, both of these appeared to have a positive (+) effect on customer loyalty. Conclusions - This study suggests that family restaurants should look for strategies that focus on how to promote customer relationships. For example, restaurants could try birthday events or discount events to achieve this goal. Since the study ended up realizing relatively low levels of suitability and statistical significance, the path of the study changed. After all, in order to increase suitability and statistical significance, the study had to eliminate factors such as service quality and others and for this reason the study was unable to conduct the analysis as initially planned. In addition, the data samples of the research were mainly gathered from students, which made it hard to say that the analysis was carried out on samples from every different group. Future research should analyze the characteristics of each group of customers for factors affecting customer satisfaction and customer loyalty in the family restaurant chain.

A Study on Effect of CRM according to Customers' Response -Focused on clothing product customers of department store of Daejeon area- (고객반응에 따른 CRM효과에 관한 연구 - 대전지역 백화점 의류제품 고객을 중심으로 -)

  • Park, Hye-Sun;Park, Sun-Hee
    • Korean Journal of Human Ecology
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    • v.14 no.3
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    • pp.441-451
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    • 2005
  • The purpose of this study is to investigate the factors of CRM(Customer Relationship Management) activity and the difference in CRM effects according to customers responses. The investigators interviewed the buyers of three department stores in Daejeon area and surveyed 468 people aged over 20 who had ever shopped at those stores. For data analysis, we used factorial analysis, multiple regression analysis, path analysis, and ANOVA, etc., along with SPSS 10.0. The results of this study are as follows: 1) Six CRM activity factors were identified as 'Benefit & Information,' 'Service,' 'Customer Invitation,' 'Customer Contact,' 'Special Management,' and 'Purchase-related Help.' 2) Customer satisfaction of CRM-positive group was affected by such factors as 'Service,' 'Customer Invitation,' and 'Special Management,' and also customer loyalty directly by 'Customer Satisfaction' and 'Benefit & Information.' On the other hand, customer satisfaction of CRM-less-positive-group was influenced by the factors such as 'Service,' 'Purchase-related Help,' 'Customer Contact,' and 'Special Management,' and also customer loyalty directly by 'Customer Satisfaction' and 'Service.'

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