• Title/Summary/Keyword: Customer review

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The Acceptance of Customer Reviews in Taobao (타오바오 쇼핑몰 이용자의 구매후기 수용에 관한 연구)

  • Hao, Qi-Ying;Lee, Sang-Joon;Lee, Kyeong-Rak
    • Journal of the Korea Convergence Society
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    • v.6 no.4
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    • pp.205-212
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    • 2015
  • This paper aims to investigate key factors affecting customer adoption of the online review from the three perspectives such as customer review characteristics, reviewer characteristics, and customer characteristics. We collected data on customers who have experience in purchasing products in Taobao. The major findings are as follows. First, the customer review amount and vividness are not directly related to customer adoption of the online review. Second, the trust of reviewer and perceived similarity have positive effects on customer adoption of the online review. Third, the prior knowledge and product involvement increase customer adoption of the online review. Finally, customers' purchase intention is greatly determined by customer adoption of the online review. This paper presents the importance of the management of customer reviews and management method for the stakeholders of shopping mall to advancing Chinese market.

The study on the utilization of the customer review when buying fashion products at the internet shopping malls - Focusing on the high school students in Seoul - (인터넷 쇼핑몰에서 패션제품 구매시 구매후기 이용에 대한 연구 - 서울지역 고등학생을 중심으로 -)

  • Jung, Myung-Hwa;Shin, Hye-Won
    • Journal of Korean Home Economics Education Association
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    • v.22 no.3
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    • pp.129-145
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    • 2010
  • In this study, when buying fashion products through internet shopping malls, it is researched about the buying behavior, the awareness of customer review, the use and posting of customer review and the accompanying awareness. The difference of awareness on the customer review according to their involvement of clothes, are examined from high school students in Seoul. And it is examined if they experienced any dissatisfaction after their purchase and what their behavior were. The questionnaire survey was taken by 508 students from 6 high schools in Seoul. The average, the standard deviation, the frequency, the t-test, the One way ANOVA and Duncan's Multiple Test were conducted for data analysis using SPSS 17.0. In the fashion products purchase behavior of the students, The reasons of buying were mainly because of the diversity and the convenience. Some students don't shop online because screen product and actual product are not the same. The awareness of the customer review represented high in the reliability and usefulness. The awareness on the influence of the customer review represented high in the contents direction and the numbers of the customer reviews but represented low in the timeliness. As to the awareness of the customer review, the student using it represented higher in all elements such as the usefulness, the reliability, and the influence than students who not use customer review. The students posting customer review recognized higher on the usefulness and the reliability of the customer review than those who did not post it, and were highly influenced by the numbers of customer reviews. The awareness of the customer review according to the involvement of clothes was the difference only in the usefulness. As to coping actions of students experiencing dissatisfaction, the proportion of the students coping with the public action and those who do not perform any action represented high.

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An Empirical Study on the Interaction Effects between the Customer Reviews and the Customer Incentives towards the Product Sales at the Online Retail Store

  • Kim, J.B.;Shin, Soo Il
    • Asia pacific journal of information systems
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    • v.25 no.4
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    • pp.763-783
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    • 2015
  • Online customer reviews (i.e., electronic word-of-mouth) has gained considerable interest over the past years. However, a knowledge gap exists in explaining the mechanisms among the factors that determine the product sales in online retailing environment. To fill the gap, this study adopts a principal-agent perspective to investigate the effect of customer reviews and customer incentives on product sales in online retail stores. Two customer review factors (i.e., average review ratings and the number of reviews) and two customer incentive factors (i.e., price discounts and special shipping offers) are used to predict product sales in regression analysis. The sales ranking data collected from the video game titles at Amazon.com are used to analyze the direct effects of the four factors and the interaction effects between customer review and customer incentive factors to product sales. Result reveals that most relationships exist as hypothesized. The findings support both the direct and interaction effects of customer reviews and incentive factors on product sales. Based on the findings, discussions are provided with regard to the academic and practical contributions.

The Interrelationship between Service Quality, Electronic Banking and Customer Satisfaction in the Commercial Banks in Uganda

  • Mohamud, Jibril Abdi
    • East Asian Journal of Business Economics (EAJBE)
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    • v.5 no.1
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    • pp.27-32
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    • 2017
  • The main objective of this study is to find the Interrelationship between Service Quality, Electronic Banking and Customer Satisfaction in Commercial Banks in Uganda. A review of literature was conducted to find out the relationship among Service Quality, Electronic Banking and Customer Satisfaction. The literature review confirms this relationship. A survey was conducted to collect data. The sample size of 210 commercial banking customers was drawn from different banks in Uganda. The result shows, the Electronic banking adoption was found to have a positive relationship with Service Quality, Service Quality was found to have a positive relationship with Customer satisfaction; and Electronic banking adoption had a positive relationship with Customer satisfaction. In light of the findings various recommendations were put across on how retail banks can better satisfy their customers through the use of electronic banking channels. Electronic banking adoption will then foster Service Quality where a customer's service expectations are exceeded by the actual service She/he obtains. This will then bring about Customer satisfaction where the customers find that their needs are met by the service.

Utilization of SNS Review Data for a Comparison between Low Cost Carrier and Full Service Carrier (SNS 리뷰데이터의 활용 : 저가항공사와 대형항공사를 중심으로)

  • Woo, Mina
    • Journal of Information Technology Services
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    • v.17 no.3
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    • pp.1-16
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    • 2018
  • There exist a number of studies pertaining to the determinants of customer satisfaction between low-cost and full-service carriers in the airline industry. Most studies measured service quality using SERVQUAL based on a survey method. This study offers a new perspective by employing a big data analytic approach using SNS data, which reflects the immediate response of customers as well as trends in real time. This study chose eight factors from TripAdvisor's customer review site as determinants of customer satisfaction and compared the differences between low-cost and full-service airlines. The factors analyzed were seat comfort, customer service, cleanliness, food and beverage, legroom, entertainment, value for money, and check-in and boarding. Additionally, ratings from domestic and foreign customers were compared. The findings show that customer service and value for money are significant factors in satisfaction with low-cost airlines while all variables except legroom and entertainment are significant for full-service airlines. The results show that SNS-based data and analysis of big data are important for improving decision-making effectiveness and increasing customer satisfaction in the airline industry.

User Review Selection Method using Kano Model in Application Market (어플리케이션 마켓에서 카노 모델을 이용한 사용자 리뷰 선별 방법)

  • Kim, Neunghoe
    • Journal of Industrial Convergence
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    • v.18 no.2
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    • pp.95-100
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    • 2020
  • Among the customer-oriented data used to comprehend the customer, the user review data has received much attention as it provides insights into customer opinion in a detailed and large-scale manner; many customers have come to rely upon and trust the user reviews. Many application developers are cognizant of the importance of user reviews, so they monitor and respond to these reviews. However, due to the absence of a systematic method, developers have been investing their time and money without clear correlation to the customer satisfaction. Therefore, this paper suggests a systematic method to select user reviews from the application market using the Kano Model that deals with customer satisfaction and service quality, thereby maximizing the customer satisfaction under the given time period and budget. This method is constructed in the following phases: the user review collection and requirement elicitation phase in which the developers collect user reviews from the application market and elicit requirements, the Kano Model application and selection phase in which the Kano Model is applied to the elicited requirements and selection occurs based on the quality type, and the stakeholder review and redefinition phase in which relevant personnel gather to review and redefine requirements from an internal perspective.

A Study on the Impact of Service Quality on the Customer Satisfaction in the Korea Post Office (우체국 서비스품질이 고객만족에 미치는 영향에 관한 연구)

  • 이상석;민상훈
    • Journal of Korean Society for Quality Management
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    • v.30 no.4
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    • pp.120-136
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    • 2002
  • The CRM is the process of integrated customer management to increase the profitability of firm as a maximizing the consumer's value and supplying the high quality product or service. The Post Information Service Headquarter was recognizing the importance of CRM and constructed the customer relationship management system that based on CRM, steadily has made an endeavor for operating to improve the job operation such as posting, banking and insurance. This research analysed the impact of service quality on the customer satisfaction in the Korea Post Office. First of all, we review the existing literature on measurement of service quality and management. As a result of this review and survey of the employer in post office, nineteen factors emerged as important to the service management of The Korea Post Office; Postal Services, Banking Services, Insurance Services. The regression analysis was utilized for analyzing the influence of service quality factors upon the customer satisfaction. Results show that service quality factors have a statistically significant impact on the customer satisfaction of the Korea Post Office.

Consumer Experience and Management Response Under the Impact of COVID-19 Crisis

  • Hyunsoo YOO
    • Korean Journal of Artificial Intelligence
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    • v.12 no.2
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    • pp.25-33
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    • 2024
  • This study examines the relationship between customer satisfaction and management response in the hotel industry amid the COVID-19 pandemic. By applying regression analysis and topic modeling to consumer reviews on online platforms, we assess how consumer perceptions and management behaviors have shifted since the onset of the pandemic. The findings reveal a significant decline in customer satisfaction linked to COVID-19. Significantly, while the pandemic has reduced overall customer satisfaction levels, high response rates and high review-response content similarity mitigate the impact of the crises. These results highlight the critical need for hotel managers to continuously monitor online reviews and adapt their engagement strategies to maintain and enhance customer satisfaction during ongoing and future crises. This research not only corroborates existing theories on customer satisfaction but also exposes novel dynamics introduced by the pandemic, offering new insights for effective customer relationship management in turbulent times.

Development of Customer Review Ranking Model Considering Product and Service Aspects Using Random Forest Regression Method

  • Arif Djunaidy;Nisrina Fadhilah Fano
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.18 no.8
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    • pp.2137-2156
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    • 2024
  • Customer reviews are the second-most reliable source of information, followed by family and friend referrals. However, there are many existing customer reviews. Some online shopping platforms address this issue by ranking customer reviews according to their usefulness. However, we propose an alternative method to rank customer reviews, given that this system is easily manipulable. This study aims to create a ranking model for reviews based on their usefulness by combining product and seller service aspects from customer reviews. This methodology consists of six primary steps: data collection and preprocessing, aspect extraction and sentiment analysis, followed by constructing a regression model using random forest regression, and the review ranking process. The results demonstrate that the ranking model with service considerations outperformed the model without service considerations. This demonstrates the model's superiority in the three tests, which include a comparison of the regression results, the aggregate helpfulness ratio, and the matching score.