• Title/Summary/Keyword: New Relationship Customer

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Understanding the Relationships between Product/Service Innovation and Product/Service Processes: The Moderating Role of Customer and Supplier Network (제품/서비스 혁신과 제품/서비스 프로세스간의 관계에 대한 이해: 고객/공급자 네트워크의 조절효과를 중심으로)

  • Jeong, Tae-Seok;Yim, Myung-Seong
    • Journal of Digital Convergence
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    • v.10 no.11
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    • pp.673-680
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    • 2012
  • The purpose of this study is to investigate the moderating role of customer and supplier participation in the relationship between new product/service development processes and product/service innovation. The research result shows that the high customer participation plays the moderating role in the relationship between strategy design and product/service innovation. Thus, if customers give ideas in the strategy design process, the probability of new product/service innovation will be increased. The conclusions and implications are discussed.

A Study of Customer Churn by Analysing CRM Customer Data (CRM 고객데이터 분석을 통한 이탈고객 연구)

  • Kim, Sang Yong;Song, Ji Yeon;Lee, Gi Soon
    • Asia Marketing Journal
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    • v.7 no.1
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    • pp.21-42
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    • 2005
  • Customer Relationship Management (CRM) is a corporate marketing strategy maintaining and managing customers. And with CRM companies maximize the customer's value through a series of processes of new customer retention, VIP customer retention, customer value increase, potential customer activation, and customers for lifetime by collecting the customer information and taking advantage of it effectively. In particular, as the competitive environment is changing rapidly and getting more intense, maintaining the customer retention through customer churn management becomes more important in order to increase the customer value for maximizing the company's profit and to build up the relationship with customers. For example, the financial industry has managed the customer churn with the concept of customer segmentation. Recently the customer retention and churn management is becoming increasingly important in all business fields as well as financial industry since the companies expect the effect of preventing the customer churn by identifying characteristics of customers. However, despite the increasing interest and importance of the management of the customer churn, not many of studies are systematically executed by analyzing the data of customer churn. In this study we analyze the actual data of CRM activities for the customer retention, specifically the data of TV home-shopping. By doing so, we hope to identify the differences of demographic attributes and transaction specific characteristics in consumer behaviors between the churning customer and the retained customers. In addition, we try to find out the variables which can impact the churning of the customers and to predict the churn rate of individual customer through our proposed model of customer churn. In the end, based on our findings we suggest the possible marketing strategies for TV home-shopping companies.

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A Study on Product-Customer Group Formation Using Neural Networks for CRM (고객관계관리에서 신경망을 이용한 제품-고객군의 형성에 관한 연구)

  • Hwang, In-Soo
    • Asia pacific journal of information systems
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    • v.11 no.4
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    • pp.27-41
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    • 2001
  • CRM is at the core of any customer-focused business strategy and includes the people, processes, and technology questions associated with marketing, sales, and service. In today's hyper-competitive world, organizations looking to implement successful CRM strategies need to focus on a common view of the customer using integrated information systems and contact center implementations that allow the customer to communicate via any desired communication channel. A CRM solution contains a number of sophisticated tools that enable to extract detailed information about customers. This information can be used to gain a better understanding of customers. From this we can determine trends, and so refine business toward customers' needs and target new products to particular customer groups. This paper presents an approach for forming the product-customer groups using neural networks for customer relationship management. The Carpenter-Grossberg's neural network, which has been used for manufacturing cell formation in group technology, is modified and applied for product-customer group formation. As a result of numerical experiments, it is also useful for more complex problems in which customers have different preferences for each product.

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Moderating Effects of Online Platform Business Ecosystems between Customer Participation and Psychological Ownership: A Comparison of Kakao and Facebook Ecosystems (고객참여와 심리적 주인의식의 관계에서 온라인 플랫폼 비즈니스 생태계 유형의 조절효과: 카카오와 페이스북 생태계의 비교)

  • Joo, Jaehun;Shin, M. Minsuk
    • The Journal of Information Systems
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    • v.25 no.1
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    • pp.75-104
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    • 2016
  • Purpose The business ecosystem perspective offers a new lens in which to view customers. Customers as the member of business ecosystems influence firms by participating in both the firm level activities and the business ecosystem level activities. For example, customers participate in the business ecosystems by forming interest groups, allowing their voice to be heard the within business ecosystems. Customers can also, turn public opinion around and foster the business ecosystems favorable to firms. On the other hand, as an extreme case of customer participation, customers can engage in community activities to boycott the purchase of products or services from certain firms or business ecosystems. Design/methodology/approach This study views content creation and feedback activities as customer participation in the firm level. On the other hand, word-of-mouth (WOM) and boycott activities are considered as customer participation in the business ecosystem level. This study presents a research model regarding the relationships among customer socialization, customer participation, and psychological ownership. The proposed model is validated through an empirical analysis on online platform business ecosystems. Findings When the two business ecosystems are compared, different results were drawn. In the Facebook ecosystem, boycott and psychological ownership did not have a significant relationship. However, in the Kakao ecosystem, the two had a significant positive relationship. The mediating effect of the business ecosystem type sheds a light on the mission, purpose, vision, and other values associated with the theory of the business on the customer-firm relationship. Further implications for theory and practice were discussed in this study.

Customer Satisfaction in Hotel Services: A Case Study of Thanh Hoa Province, Vietnam

  • LE, Quang Hieu;NGUYEN, Thanh Xuan Thi;LE, Thanh Thuy Thi
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.10
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    • pp.919-927
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    • 2020
  • The study examines the influence of factors on customer satisfaction in hotel services in Thanh Hoa province of Vietnam. In terms of the tangible facilities of hotels, customers appreciate the availability and the full range of equipment and additional services, as the 3-to-5-star hotels in Thanh Hoa province are almost new, built in the last five years - 7 of 13 hotels were built in 2015. In the process of measuring the effect of factors on satisfaction in hotel services there, the researchers conducted exploratory factor analysis, reliability test, correlation and regression to confirm the relationships of factors. Based on a survey of 380 respondents, the test results showed that the proposed factors have positive impacts on consumer satisfaction; they are: perceived quality (including intangible and tangible elements), brand image, perceived value, and customer relationship management. In particular, intangible elements have the strongest influence on customer satisfaction, followed by tangible elements, brand image, perceived value, and finally, customer relationship management. In addition, the study found that foreigners and higher education customers tend to be more satisfied by the hotels than other groups, which helps to suggest important and appropriate solutions for hotel managers in Thanh Hoa province.

A Study on Customer Knowledge Acquisition Strategy via a Customer Center: A Case of Voice Recognition Technology Application (고객센터를 통한 고객지식 확보 전략: 음성인식기술의 적용 사례)

  • Hong, Byoung Sun;Koh, Joon
    • Knowledge Management Research
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    • v.19 no.1
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    • pp.147-174
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    • 2018
  • Recently, firms have been putting forth significant efforts to fulfill various demands and high expectations of customers. The role and importance of customer centers as a direct contact point for customer relationship management are more emphasized than previously. A customer center draws attention as a new alternative to secure corporate competitiveness as it contributes to sales increase, being in a position to satisfy customers' needs by ensuring customers' access to information. A customer center is an aggregation of various information and communication technologies. In particular, a voice recognition/analysis technology based on big data can elaborate customer services further, enhance customer satisfaction, and trigger constant interactions with customers. A customer center can be transformed to a hub of customer knowledge and the embodiment of business intelligence in the front line of business. This article is a case study on how the customer center of the K life insurance company regarding customer center operation collects and analyzes customer information and how it has established its voice recognition/analysis system based on big data to improve customer experience management. Factors affecting the successful introduction and implementation of voice recognition/analysis system to a firm, are examined.

Assessing the Effects of Multi-Channel Service Quality on Customer Satisfaction and Loyalty in Retail Banking (은행서비스의 다채널 별 서비스 품질 평가가 고객 만족 및 충성도에 미치는 영향)

  • Kim, Jiyoung
    • Journal of the Korean Operations Research and Management Science Society
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    • v.41 no.1
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    • pp.71-85
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    • 2016
  • Service channel environments have changed dramatically with the advent of new, online digital channels. This article studies the effects of perceived multi-channel service quality on customer satisfaction and loyalty in the banking industry and the moderating role of age, which is a characteristic of customers. The objective is to identify the quality factors that affect the overall satisfaction and loyalty of a multi-channel customer. A quantitative study was conducted on 900 customers, with the main targets being users of the nine primary Korean retail banks. Results show that perceived service quality of the physical environment, human service, Internet banking, mobile banking, and ATM has a positive influence on overall satisfaction and loyalty. Age moderates the relationship among physical environment quality, human service, and customer loyalty.

An Integration of Kano's Model and Exit-Voice Theory : A Case Study

  • Lee, Yu-Cheng;Hu, Hsiu-Yuan;Yen, Tieh-Min;Tsai, Chih-Hung
    • International Journal of Quality Innovation
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    • v.10 no.2
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    • pp.109-126
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    • 2009
  • The purpose of this study was to examine overall customer satisfaction associated with medical service quality in Taiwan by integrated Kano's model and customer satisfaction index model. Another purpose was to confirmed nonlinear and asymmetric relationship of Customer Satisfaction and Quality Performance by the research outcome. By analyzing 1,100 patients or their family members, this study used the structural equation model (SEM) with AMOS software for data analysis. The results show that must-be attributes, one-dimensional attributes and attractive attributes had a direct effect on overall customer satisfaction, Surprisingly, overall customer satisfaction had positively influenced customer loyalty customer satisfaction had negatively influenced customer complaints. The study also found that customer complaints have direct effect on customer loyalty. Importantly, the study found out the must-be attributes, the attractive attributes and one-dimensional attributes increased, the level of overall customer satisfaction also increased. The customer satisfaction positively influences customer loyalty in medical service quality in Taiwan. The findings might reveal new insights for researchers dealing with quality of medical service and for hospital managers who devote resources exclusively to achieving highest possible levels of patient satisfaction.

Forecasting of Customer's Purchasing Intention Using Support Vector Machine (Support Vector Machine 기법을 이용한 고객의 구매의도 예측)

  • Kim, Jin-Hwa;Nam, Ki-Chan;Lee, Sang-Jong
    • Information Systems Review
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    • v.10 no.2
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    • pp.137-158
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    • 2008
  • Rapid development of various information technologies creates new opportunities in online and offline markets. In this changing market environment, customers have various demands on new products and services. Therefore, their power and influence on the markets grow stronger each year. Companies have paid great attention to customer relationship management. Especially, personalized product recommendation systems, which recommend products and services based on customer's private information or purchasing behaviors in stores, is an important asset to most companies. CRM is one of the important business processes where reliable information is mined from customer database. Data mining techniques such as artificial intelligence are popular tools used to extract useful information and knowledge from these customer databases. In this research, we propose a recommendation system that predicts customer's purchase intention. Then, customer's purchasing intention of specific product is predicted by using data mining techniques using receipt data set. The performance of this suggested method is compared with that of other data mining technologies.