• Title/Summary/Keyword: Individual Customer

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Analyzing Online Customer Reviews for the Hotel Classification in Vietnam

  • NGUYEN, Ha Thi Thu;TRAN, Tuan Minh;NGUYEN, Giang Binh
    • The Journal of Asian Finance, Economics and Business
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    • 제8권8호
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    • pp.443-451
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    • 2021
  • The classification standards for hotels in Vietnam are different from many other hotel classification standards in the world. This study aims to analyze customer reviews on the TripAdvisor website to develop a new algorithm for hotel rating that is independent of Vietnam's hotel classification standards. This method can be applied to individual hotels, or hotels of a region or the whole country, while online booking sites only rate individual hotels. Data was crawled from TripAdvisor with 22,287 reviews of 5 cities in Vietnam. This study used a statistical model to analyze the review dataset and build an algorithm to rate hotels according to aspects or hotel overall. The results have less rating deviation when compared to the TripAdvisor system. This study also supports hotel managers to regularly update the status of their hotels using data from customer reviews, from which, managers can strategize long-term solutions to improve the quality of the hotel in all aspects and attract more travelers to Vietnam. Moreover, this method can be developed into an automatic system to rate hotels and update the status of service quality more quickly, thus, saving time and costs.

유통환경에서의 고객 부정행동: 소비자 관점의 고찰 (Customer Misbehavior in Retail Settings: The Customer's Viewpoint)

  • 박경애
    • 한국의류학회지
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    • 제34권7호
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    • pp.1126-1137
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    • 2010
  • Customer misbehavior is a behavior that disrupts generally accepted behavioral norms in consumption situations. This study examined customer misbehavior in retail settings by identifying behavioral patterns and exploring behavioral backgrounds and consequences from a customer viewpoint. Qualitative data were collected from individual in-depth interviews, and 149 interviews were analyzed. Customer misbehavior was categorized into unethical returns, problem behaviors in service encounters, shoplifting/fraud, ill-mannered behaviors, and selfish behaviors. Motivations included monetary gain, adventurism, perceived acceptability of misbehavior, planned unfair complaints, and retaliation. Customers showed a negative image to unkind employees and stores yielding to misbehaviors that were learned and socialized among customers. The study further discusses implications.

전자상거래의 고객지향적 비즈니스 모델 구축에 관한 연구 - 고객가치와 서비스 품질, 기업의 성과를 중심으로 (Developing Customer-Oriente Service Model in the Electronic Commerce: Focus on the Customer Value, Service Quality, ad Performance)

  • 이현규
    • 한국정보시스템학회지:정보시스템연구
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    • 제14권1호
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    • pp.125-147
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    • 2005
  • This research focused on the comparison of corporate business mokels to explain different financial performances on the eBusiness domain. Especially, because customers have the more buying [ower tha other business areas, customer value and the service quality were prepared for independent variables and operational margin which can be obtained by publicize report was used for a dependent variable in stead of the other variables dependent on human perception as well. As a result, this research found that the customer value measured by service quality concept impact on the financial performance of eBusiness corporation positively. To find out more delicate results, structural equation was used for statistical method using 324 survey samples on 10 corporations. Though data using for statistical analysis were divided into individual and corporate level and have the time gap between research time and financial performance publicized period, the value of this research is that the customer value and service quality concepts with very objective financial information were input for constructing a research model.

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e-CRM에서 개인화 향상을 위한 의사결정나무 사용에 관한 연구 (Study on the Application of Decision Trees for Personalization based on e-CRM)

  • 양정희;한서정
    • 대한안전경영과학회지
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    • 제5권3호
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    • pp.107-119
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    • 2003
  • Expectation and interest about e-CRM are rising for more efficient customer management in on-line including electronic commerce. The decision-making tree can be used usefully as the data mining technology for e-CRM. In this paper, the representative decision making techniques, CART, C4.5, CHAID analyzed the differences in personalization point of view with actuality customer data through an experiment. With these analysis data, it is proposed a new decision-making tree system that has big advantage in personalization techniques. Through new system, it can get following advantage. First, it can form superior model more qualitatively in personalization by adding individual's weight value. Second it can supply information personalized more to customer. Third, it can have high position about customer's loyalty than other site of similar types of business. Fourth, it can reduce expense that cost marketing and decision-making. Fifth, it becomes possible that know that customer through smooth communication with customer who use personalized service wants and make from goods or service's quality to more worth thing.

Does the Variance of Customer Satisfaction Matter for Firm Performance?

  • Lee, Eun Young;Yoo, Shijin;Lee, Dong Wook
    • Asia Marketing Journal
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    • 제18권4호
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    • pp.51-76
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    • 2017
  • Although much attention has been paid to customer satisfaction (CS) as a leading indicator of firm performance, few studies have investigated the role of CS distribution across individual customers. With 10 years of National Customer Satisfaction Index (NCSI) data in Korea, we examine the relationship between the variance of CS and key corporate performance measures such as revenue, profit, Tobin's q, and stock return. There are three main findings. First, we confirm the findings of previous studies that the average CS for a firm is related to the firm's economic performance. Second, we find a moderating effect of CS variance such that the relationship between the level of CS and firm performance is attenuated by the variance of CS. Finally, the variance of CS is found to directly affect firm performance over and above the CS level effect. More specifically, the variance decreases sales and stock return.

복합운송경로 선정에 관한 연구 - 서비스요인 중심으로 - (A Study on Route Decision for Multimodal Transportation : From Viewpoint of Service Factors)

  • 김소연;최형림;김현수;박남규;박용성;정재운
    • 한국산업정보학회논문지
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    • 제11권5호
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    • pp.170-180
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    • 2006
  • 국제물류 시장의 증가와 다양한 고객의 요구는 복합운송의 중요성을 강조하게 되었고, 그 시장이 지속적으로 성장하고 있다. 이러한 무한 경쟁시장에서 경쟁우위를 확보하기 위해서는 다양한 고객의 특성을 고려하여 개별 고객에게 만족을 줄 수 있는 서비스가 중요하게 고려되고 있다. 이에 본 연구에서는 운송 서비스 측면에서 고객 만족을 더욱 향상시키기 위한 복합운송 선정 요인에 관한 연구를 하였다. 본 연구에서는 먼저 국제복합운송경로 선정에 영향을 미치는 주요 서비스 요인들을 문헌조사와 실증조사를 통해 파악하고, 이 요인을 이용하여 개별 고객이 복합운송경로를 평가할 수 있는 객관적인 자료를 제시하였다. 본 연구를 통하여 개별 고객은 객관적인 평가 자료를 획득할 수 있으며, 복합운송업체는 고객이 어떤 서비스를 중요하게 고려하는지를 파악할 수 있다.

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복합운송경로 선정에 관한 연구-서비스요인 중심으로 (A Study on Route Decision for Multimodal Transportation - From Viewpoint of Service Factors)

  • 김소연;최형림;김현수;박남규;박용성;정재운
    • 한국항해항만학회:학술대회논문집
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    • 한국항해항만학회 2006년도 추계학술대회 논문집(제1권)
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    • pp.251-259
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    • 2006
  • 국제물류 시장의 증가와 다양한 고객의 요구는 복합운송의 중요성을 강조하게 되었고, 그 시장이 지속적으로 성장하고 있다. 이러한 무한 경쟁시장에서 경쟁우위를 확보하기 위해서는 다양한 고객의 특성을 고려하여 개별 고객에서 만족을 줄 수 있는 서비스가 중요하게 고려되고 있다. 이에 본 연구에서는 운송 서비스 측면에서 고객 만족을 더욱 향상시키기 위한 복합운송 선정 요인에 관한 연구를 하였다. 본 연구에서는 먼저 국제복합운송경로 선정에 영향을 미치는 주요 서비스 요인들을 문헌조사와 실증조사를 통해 파악하고, 이 요인을 이용하여 개별 고객이 복합운송경로를 평가할 수 있는 객관적인 지료를 제시하였다. 본 연구를 통하여 개별 고객은 객관적인 평가 자료를 획득할 수 있으며, 복합운송업체는 고객이 어떤 서비스를 중요하게 고려하는지를 파악할 수 있다.

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변혁적 리더십이 호텔 식음료 종사원의 직무만족과 고객지향성에 미치는 영향 (The Influence of Transformational Leadership on Job Satisfaction and Customer Orientation in Hotel F&B Employees)

  • 오영섭
    • 한국조리학회지
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    • 제15권3호
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    • pp.139-152
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    • 2009
  • 본 연구는 호텔 관리자의 변혁적 리더십이 식음료 서비스 종사원의 직무만족과 고객지향성에 미치는 효과를 실증적으로 규명하고자 하였다. 이러한 목적을 달성하기 위하여 문헌연구를 통해 가설을 도출하였으며, 서울 지역 특1급 호텔 식음료 서비스 종사원을 대상으로 설문지 375부를 배부하여 미회수 30부, 불성실한 응답 23부를 제외한 총 322부를 최종분석에 사용하였다. 분석은 SPSS 14.0 통계패키지를 이용하였으며, 연구결과를 요약하면 다음과 같다. 첫째, 변혁적 리더십이 직무만족에 영향을 미칠 것이라는 가설 1과 세부가설 1-1, 1-2, 1-3을 검증한 결과 직무만족에 유의적인 수준에서 정(+)의 영향을 미치는 것으로 나타났다. 그리고 변혁적 리더십이 고객지향성에 영향을 미칠 것이라는 가설 2와 2-1, 2-2, 2-3을 검증한 결과 가설 2와 세부가설 2-2는 유의적인 수준에서 정(+)의 영향을 미치는 것으로 나타났으나, 세부가설 2-1과 2-3은 유의성이 타나지 않았다. 둘째, 직무만족이 고객지향성에 영향을 미칠 것이라는 가설 3을 검증한 결과 유의적인 수준에서 정(+)의 영향을 미치는 것으로 나타났다. 이러한 연구결과를 바탕으로 본 연구는 호텔 관리자의 변혁적 리더십과 종사원들의 직무만족, 고객지향성에 관한 시사점을 제안하였다.

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Influence of Public R&D Information Service Image on the Value and Satisfaction of Users

  • Lee, Sun Young;Suh, Sanghyuk
    • Asian Journal of Innovation and Policy
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    • 제6권2호
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    • pp.192-205
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    • 2017
  • The aim of this study is to investigate the relative impact of the image of information service on customer's perceived value and satisfaction of R&D information. It also seeks to assess the moderating effect of service users' skills on the value of the service image on the customer. For this purpose, a field study was conducted on users of a public R&D information service called NTIS (National Technology Information Service) in Korea. The findings show that the information service image has a significant impact on customers' perceived value and satisfaction. In addition, customers' perceived value is found to be an important indicator in strengthening customer satisfaction. Findings also reveal that individual personal computer skills moderate the relationship between service image and information value. Further research is needed to strengthen the independent variable in view of the increasing pressure to improve public service quality and customer management.

효율적인 신용평가를 위한 데이터마이닝 모형의 비교.분석에 관한 연구 (Study on the Comparison and Analysis of Data Mining Models for the Efficient Customer Credit Evaluation)

  • 김갑식
    • Journal of Information Technology Applications and Management
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    • 제11권1호
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    • pp.161-174
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    • 2004
  • This study is intended to suggest1 the optimized data mining model for the efficient customer credit evaluation in the capital finance industry. To accomplish the research objective, various data mining models for the customer credit evaluation are compared and analyzed. Furthermore, existing models such as Multi-Layered Perceptrons, Multivariate Discrimination Analysis, Radial Basis Function, Decision Tree, and Logistic Regression are employed for analyzing the customer information in the capital finance market and the detailed data of capital financing transactions. Finally, the data from the integrated model utilizing a genetic algorithm is compared with those of each individual model mentioned above. The results reveals that the integrated model is superior to other existing models.

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