• Asia pacific journal of information systems
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• 제33권3호
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• pp.677-701
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• 2023

With the rapid advancement of social media analytics and artificial intelligence, many studies have used online customer reviews as an important source to measure service quality in many industries, including the hotel industry. However, these studies have failed to identify the relative importance of different dimensions of service quality and their role in customer satisfaction. To fill this research gap, this study aims to identify the effects of service quality on hotel customer satisfaction from the multidimensional perspectives using sentiment analysis with self-training on online reviews. Additionally, the moderating role of the brand of origin for each service quality dimension is also investigated. Drawing on the SERVQUAL model and brand of origin concept, this study develops 12 hypotheses and empirically tests them using 30,070 online customer hotel reviews collected from TripAdvisor.com. The results indicated that overall service quality and each dimension of SERVQUAL significantly influenced customer satisfaction of hotels. The results also confirmed the moderating effects of brand of origin on overall service quality. However, the moderating effects of brand of origin for the tangible, reliability, and empathy dimensions of service quality were significant, whereas the effects for responsiveness and assurance were not. This study sheds new light on service quality measurement by analyzing the multidimensional features of service quality and the role of brand of origin in the hotel service context.

• 벤처혁신연구
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• 제4권1호
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• pp.23-38
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• 2021

본 연구는 비대면 교육서비스 품질 구성요소인 시스템 편리성, 시스템품질, 상호작용성이 학생이 지각하는 교육서비스 가치와 학습몰입과 전공만족도에 영향을 미치는 영향을 분석하고자 하였다. 본 연구를 통해 다음과 같은 연구결과를 도출할 수 있었다. 첫째, 비대면 교육서비스품질의 구성요소인 시스템편리성, 시스템품질, 상호작용성의 3가지 요인이 교육서비스가치에 통계적으로 유의한 영향을 미치고 있는 것으로 나타났다. 둘째, 비대면 교육서비스품질의 구성요소인 시스템편리성, 시스템품질, 상호작용성의 3가지 요인중에서 시스템품질과 상호작용성은 학습몰입에 통계적으로 유의한 영향을 미치고 있는 것으로 나타났다. 셋째, 비대면 교육서비스 가치가 전공만족도에 미치는 영향을 분석한 결과, 교육서비스가치는 전공만족도에 통계적으로 유의한 영향을 미치고 있는 것으로 나타났다. 넷째, 학습몰입이 전공만족도에 미치는 영향을 분석한 결과, 학습몰입은 전공만족도에 통계적으로 유의한 영향을 미치고 있는 것으로 나타났다.

• 한국컴퓨터정보학회논문지
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• 제15권7호
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• pp.125-134
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• 2010

온라인 커뮤니티는 단순히 정보교환, 친목도모의 차원을 넘어 기업의 수익창출에 영향력을 미치고 있으며 마케팅 수단으로서 그 중요성이 점차 증가되고 있다. 온라인 커뮤니티에 관한 기존 연구들 중 만족과 사용의도에 관한 연구를 살펴보면 만족에 영향을 주는 여러 요인이 있음에도 불구하고 개인의 특성 또는 커뮤니티의 목적과 내용에 관련된 특성에 한정하고 있다. 반면 온라인 커뮤니티가 제공하는 서비스의 품질을 파악하는 등 서비스 특성에 관한 연구는 찾아보기 어렵다. 본 연구는 온라인 커뮤니티의 성공에 영향을 미치는 요인을 파악하고자 서비스 품질 결정요인을 확립하고 온라인 커뮤니티에서 서비스 품질이 고객만족과 전환의도에 어떤 영향을 미치는지 알아보고자 한다. 독립변수는 Parasuraman, Zeithaml and Berry[1,2](이하 PZB)의 유형성, 신뢰성, 응답성, 확신성, 공감성 5개이며, 이를 온라인 커뮤니티의 서비스 품질 결정 요인으로 하여 비교 및 검토하였다. 분석은 온라인 커뮤니티 사용 경험이 있는 198명을 대상으로 설문조사를 통하여 이루어졌으며, 연구 결과, 고객만족에 영향을 주는 차원은 공감성, 유형성, 응답성으로 나타났고, 전환의도에 영향을 주는 차원은 공감성, 확신성으로 나타났다. 이 중 공감성은 고객만족과 전환의도에 모두 가장 큰 영향을 미치는 요인으로 드러났다. 이는 서비스 품질이 온라인 커뮤니티를 통한 고객 유지에 영향을 주는 변수일 뿐 아니라 소비자의 욕구를 제대로 이해하고 반영하는 등 주관적인 서비스 품질을 향상하는 것이 중요하다는 것을 의미한다.

• 품질경영학회지
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• 제50권3호
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• pp.571-591
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• 2022

Purpose: The purpose of this study is to examine the factors affecting the intention to use online collaboration tools for non-face-to-face educational environment in the perspective of the learners. Methods: For empirical analysis, the survey of this study was administered with data that were limited to experienced learners using online collaboration tools such as Google Docs, Allo, Padlet, and Slido in online education environments such as Zoom, Webex, MS Teams, etc. and valid 400 data were analyzed by SPSS(ver 22.0) and R(ver 4.1.0) program package. Results: The results of empirical analysis showed that performance expectancy were found to have an effect on reliability of system quality, empathy of service quality, playfulness and informativity of content quality among the characteristics of online collaboration tools. On the other hand, it was found that the security of system quality, responsiveness of service quality, and extroversion of user personality characteristics did not affect. It was analyzed that playfulness had the greatest positive effect, followed by informativity, empathy, and reliability. Among the characteristics of online collaboration tools, it was found that the reliability and security of system quality and informativity of content quality had an effect on the effort expectancy. It was analyzed that informativity has the greatest influence, followed by security and reliability. Conclusion: This study is meaningful in that it examines the perspectives of users and learners, who can be said to be the end customers of online collaboration tools. Based on the results of this study, it is expected that not only platform operators that provide online collaborative tools, but also providers that use online collaboration tools will have a significant impact on the development of edutech and infrastructure in the educational environment.

• 유통과학연구
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• 제17권9호
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• pp.93-102
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• 2019

Purpose - Capturing the shifting consumer behavior perspective on online transportation network performance in Indonesia, this study aims to empirically examine the impact of electronic customer relationship management (e-CRM) and e-service quality on customer e-satisfaction and e-loyalty. Research design, data, and methodology - A quantitative approach was applied, and then we determined the respondents who met the predetermined criterion by using purposive sampling method. In total, 167 online transportation customer in Indonesia participated in this electronic questionnaire survey. To tested the collected data, Partial Least Square (PLS) - (SEM) analytical tools were employed. Results and Findings - There are five hypotheses proposed in this study and state that only one hypothesis is rejected, The dominant relationship between variables in the hypothesis is shown in the variable relationship of e-service quality on e-satisfaction. CRM, Service Quality, Satisfaction and Loyalty implemented comprehensively in cyberspace provides a clear picture for academics but also for practitioners who are struggling in the service industry that specifically appoints online transportation business. The findings of this research provide both managerial and theoretical implications to maintain customer e-loyalty in online transportation network business environment in Indonesia.

• 한국지역사회생활과학회지
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• 제27권2호
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• pp.305-318
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• 2016

This study was conducted to investigate the effects of service quality and food quality on purchase intention in the electronic commerce of food products. Specifically, the relationship between purchase intention and food quality and service quality was tested based on customer satisfaction and trust, which were measured using the structural equation modeling method. Quality of service was found to affect purchase intention; however, food quality had no positive effects on purchase. Additional analyses should be conducted owing to the conflicting results of the present study. Although the amount of food bought online is increasing rapidly every year, research regarding online food purchasing is not being actively conducted. The results of the present study will help food sellers, buyers, and researchers.

• 한국의류학회지
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• 제42권5호
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• pp.871-883
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• 2018

This study tests consumer responses to online product recommendation service offered by a website. A product recommendation service refers to a filtering system that predicts and shows items that consumers would like to purchase based on their searches or pre-purchase information. The survey is conducted on 300 people in an age group between 20 and 40 years in a panel of an online survey firm. Data are analyzed using confirmatory factor analysis and structural equation modeling by AMOS 20.0. The results show that personalization quality does not have a significant effect on trust, but relationship quality and technology quality have a positive effect on trust. Three types of quality of recommendation service also have a positive effect on commitment. Trust and commitment are factors that increase service usage intentions. In addition, this study reveals the moderating effect of light users vs heavy users based on online shopping time. Light users show a negative effect of personalization quality on trust, indicating that they are likely to be uncomfortable to the service using personal information, compared to heavy users. This study also finds that trust vs commitment is an important factor increasing service usage intentions for heavy users vs light users.

• 경영과정보연구
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• 제35권3호
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• pp.213-230
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• 2016

O2O(Online-to-Offline) 환경에서 기업은 온라인을 통해 고객을 유치하고 결제를 유도한 후 제품을 수령할 때에는 다시 오프라인으로 전환시키는 마케팅방식을 취함으로써 온라인과 오프라인 두 개 채널의 통합을 통한 시너지 효과를 창출하고자 한다. 이처럼 온라인과 오프라인이 공존하는 O2O 환경에서는 공급자가 제공하는 제품 및 서비스의 품질에 대한 소비자의 인지가 기존 온라인이나 오프라인 환경과는 다를 수밖에 없다. 이에 본 연구는 O2O 환경에서의 서비스 품질모델(service quality model)을 개발하고자 한다. 구체적으로 O2O는 오프라인, 온라인, 모바일 상거래가 통합된 환경인만큼 기존연구에서의 오프라인 서비스품질, 온라인 서비스품질, 모바일 서비스품질의 공통적인 서비스품질 요인을 통합하여 1차적인 O2O 서비스품질 모형을 제시한다. 다음으로 O2O 상거래를 이용하여 구매한 경험이 있는 고객을 대상으로 FGI(Focus Group Interview)를 실시하였다. 이는 1차 통합모형에서 제시된 O2O 서비스품질 요인 중 가장 중요하게 인지되는 서비스품질 요인을 규명하고, 또한 O2O만의 고유한 서비스품질 특성을 탐색하고자 하는 과정으로 1차 통합모형과 FGI를 통해 O2O 서비스 품질모델을 제시한다.

• 지식경영연구
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• 제19권2호
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• pp.109-132
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• 2018

Recently, new financial services related to FinTech has gained attention more and more. Online P2P financial services transactions such as FinTech require careful examination of the constituents of information systems as an investment is made based on the information presented on the online platform without direct face-to-face contact. The purpose of this study is to find out the success factors of online P2P Lending service among FinTech. To serve the purpose, we build IS (information system) success model, and then use Kano model and fuzzy analytic hierarchy process (Fuzzy-AHP) to find out factors for the success of online P2P Lending service. In particular, this study uses Kano model to classify information system satisfaction factors and to calculate the satisfaction coefficient. The Kano model, however, has a drawback of evaluating single criterion. Therefore, we use multi-criteria decision-making technique such as Fuzzy-AHP to derive the relative importance of the factors. The analysis results show different results depending on the analysis technique. In the Kano model, most of the information system factors are a one-dimensional quality attribute. The satisfaction coefficient is highest for personalized service, followed by the responsiveness of service, ease of using a system, understanding of information, usefulness of information' reliability. The service reliability is the highest in dissatisfaction coefficient, followed by system security, service responsiveness, system stability, and personalized service. The results of the Fuzzy-AHP analysis shows that the usefulness of information quality, the personalization of service quality, and the security of system quality are the significant factors and the stability of system quality was a secondary factor.

• 품질경영학회지
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• 제49권4호
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• pp.595-607
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• 2021

Purpose: This study introduces a systematic framework to evaluate service satisfaction of cosmetic brands through online review analysis utilizing Text-Mining technique. Methods: The framework assumes that the service satisfaction is evaluated by positive comments from online reviews. That is, the service satisfaction of a cosmetic brand is evaluated higher as more positive opinions are commented in the online reviews. This study focuses on two approaches. First, it collects online review comments from the top 50 global cosmetic brands and evaluates customer service satisfaction for each cosmetic brands by applying Sentimental Analysis and Latent Dirichlet Allocation. Second, it analyzes the determinants that induce or influence service satisfaction and suggests the guidelines for cosmetic brands with low satisfaction to improve their service satisfaction. Results: For the satisfaction evaluation, online review data were extracted from the top 50 global cosmetic brands in the world based on 2018 sales announced by Brand Finance in the UK. As a result of the satisfaction analysis, it was found that overall there were more positive opinions than negative opinions and the averages for polarity, subjectivity, positive ratio, and negative ratio were calculated as 0.50, 0.76, 0.57, and 0.19, respectively. Polarity, subjectivity and positive ratio showed the opposite pattern to negative ratio, and although there was a slight difference in fluctuation range and ranking between them, the patterns are almost same. Conclusion: The usefulness of the proposed framework was verified through case study. Although some studies have suggested a method to analyze online reviews, they didn't deal with the satisfaction evaluation among competitors and cause analysis. This study is different from previous studies in that it evaluates service satisfaction from a relative point of view among cosmetic brands and analyze determinants.