• Knowledge Management Research
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• v.19 no.4
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• pp.1-17
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• 2018

Hotel consumers tend to rely on online reviews to reduce the risk to hotel products when they book hotel rooms because hotel products are high-risk products due to their intangibility. However, the development of ICT has caused information load, and it is an important issue to be perceived as useful information to consumer because a large amount of information complicates the decision making process of consumers. Drawn from Heuristic-Systematic Model(HSM), the present study explored the role of heuristic and systematic cues composing an online review influencing consumers' perception of hotel online reviews. More specifically, this study identified reviewers' identity, level of the reviewer, review star ratings, and attached hotel photo as heuristic cue, while review length, cognitive level of review and negativity in review as systematic cues. The binary logistic regression was adopted for analysis. This study found that only systematic cues of online review were found to affect the usefulness of it. Moreover, we preceded further study examining the moderating effect of seasonality in the relationships between systematic cues and usefulness.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.10
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• pp.2609-2626
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• 2023

The hotel industry is an example of experiential services. As consumers cannot fully evaluate the online review content and quality of their services before booking, they must rely on several online reviews to reduce their perceived risks. However, individuals face information overload owing to the explosion of online reviews. Therefore, consumer cognitive fluency is an individual's subjective experience of the difficulty in processing information. Information complexity influences the receiver's attitude, behavior, and purchase decisions. Individuals who cannot process complex information rely on the peripheral route, whereas those who can process more information prefer the central route. This study further discusses the influence of the complexity of review information on hotel ratings using online attraction review data retrieved from TripAdvisor.com. This study conducts a two-level empirical analysis to explore the factors that affect review value. First, in the Peripheral Route model, we introduce a negative binomial regression model to examine the impact of intuitive and straightforward information on hotel ratings. In the Central Route model, we use a Tobit regression model with expert reviews as moderator variables to analyze the impact of complex information on hotel ratings. According to the analysis, five-star and budget hotels have different effects on hotel ratings. These findings have immediate implications for hotel managers in terms of better identifying potentially valuable reviews.

• Journal of Distribution Science
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• v.16 no.4
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• pp.21-34
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• 2018

Purpose - The objective of this research is to a) examine the effects of online reviews, posted on online distribution channels, on the change of consumers' attitudes and booking intention by distinguishing three types of online review valence: positive, negative and neutral review valence, and b) to investigate the combined effect of the inclination of online review and perceived usefulness of reviews on consumers' attitude change. Research design, data, and methodology - An experimental design was used by creating a mimicked hotel company's website and online reviews extracted from several online distribution channels such as online travel agencies (OTAs). A total of 414 respondents were randomly assigned to a type of review valence. Results - The results showed that the valence of positive reviews has a significant effect on the positive change of attitude and booking intention. However, the effect of the valence of negative reviews on the change of booking intention was not statistically significant compared to that of the valence of neutral reviews. Conclusions - The results offer some insights into the effect of online reviews on consumers' decision making processes and have important managerial implications for companies that operate online distribution channels in terms of their online marketing and the distribution of service products.

• Asia pacific journal of information systems
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• v.27 no.4
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• pp.216-232
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• 2017

This study's objective is to use the construal-level theory (CLT) to explore the effect of the utility of online travel reviews on tourists' perception. To accomplish this goal, online travel reviews are divided into two different categories based on concreteness, and the usefulness of each review is compared with the temporal dimension of psychological distance. The results show that close future tourists are more influenced by concrete reviews than abstract reviews; however, the far future tourists are more influenced by abstract reviews than concrete reviews. Based on these results, theoretical and practical implications are discussed, and suggestions are made for future research.

• The Journal of Information Systems
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• v.29 no.4
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• pp.171-191
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• 2020

Purpose The study aims to compare the online review writing behavior of users in China and the United States through text mining on online reviews' text content. In particular, existing studies have verified that there are differences in online reviews between different cultures. Therefore, the purpose of this study is to compare the differences between reviews written by Chinese and American tourists by analyzing text contents of online reviews based on cultural theory. Design/methodology/approach This study collected and analyzed online review data for hotels, targeting Chinese and US tourists who visited Korea. Then, we analyzed review data through text mining like sentiment analysis and topic modeling analysis method based on previous research analysis. Findings The results showed that Chinese tourists gave higher ratings and relatively less negative ratings than American tourists. And American tourists have more negative sentiments and emotions in writing online reviews than Chinese tourists. Also, through the analysis results using topic modeling, it was confirmed that Chinese tourists mentioned more topics about the hotel location, room, and price, while American tourists mentioned more topics about hotel service. American tourists also mention more topics about hotels than Chinese tourists, indicating that American tourists tend to provide more information through online reviews.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.8
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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.

• The Journal of Information Systems
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• v.27 no.3
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• pp.203-225
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• 2018

Purpose This study investigated the impact of review language style (affective vs. cognitive) on review helpfulness and the moderating effects of the types of attractions in the relationships between the review language and its helpfulness. Design/methodology/approach This study investigates the impact of review language style (affective vs. cognitive) on review helpfulness and the moderating effects of the types of attractions in the relationships between the review language and its helpfulness. This study selected two hedonic and utilitarian attractions (Hedonic: Brandenburg Gate, Utilitarian: Peragamon Museum) located in Berlin. A total of 3,320 reviews was collected from TripAdvisor. We divided online reviews posted for these places into reviews with more affective language and with more cognitive language by using the LIWC. Then, we investigated the impact of language effect on review helpfulness across the attraction type. Findings The findings suggest that peers tend to judge more helpful toward cognitive language in attraction reviews regardless of attraction type. This study found that peers tend to perceive more helpful toward cognitive review in utilitarian attractions. Even though there was an interaction effect between review language and attraction type, in hedonic attractions, the influence of cognitive language was reduced, but still cognitive reviews would get more helpful votes.

• Asia pacific journal of information systems
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• v.25 no.4
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• pp.746-762
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• 2015

This study developed a conceptual model that integrated psychological and physical reactions resulting from online tourism reviews through a longitudinal trust-satisfaction model (LSTM) developed based on the extended valence framework and expectation-confirmation theory. Online reviews are essential factor of consumer's purchase decision. This phenomenon is well applied in a tourism context. However, investigations on online reviews in a longitudinal approach in a tourism context are quite limited. Therefore, this study suggests a conceptual model based on LTSM and several propositions about how online tourism reviews, which are divided into factual and experiential reviews, influence the future travelers' perceptions and attitudes, such as expectation, confirmation, and destination loyalty, in a longitudinal format by examining previous related studies. Finally, expected results were discussed and several implications were described theoretically and practically.

• The Journal of the Korea Contents Association
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• v.13 no.10
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• pp.533-546
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• 2013

This study analyzed the contents of online hotel reviews of Benikea hotels. The results were as follows: First, the outstanding customer value were functional value, emotional value, price/value for money and epistemic value, conditional value are next. Social value was not found. Functional value was provoked by the functions of hotel room, room amenities, room view, room cleaness, restaurant service, and hotel staff friendliness as human services. Emotional value was the emotional response to the qualities of hotel's functions. Price/value for money was a perceived value of hotel user by the comparison of what to invest with what to receive. From the results, it can be proposed that hotel should maintain the basic qualities of core functions of hotel.

• The Journal of Information Systems
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• v.25 no.3
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• pp.217-245
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• 2016

Purpose With the increasing number of foreign travelers visiting Korea, it is a heavy question to evaluate service quality of typical domestic hotel companies. Our research aims to evaluate service quality of domestic hotels in Korea from the perspective of foreign travelers in order to provide the quality improvements that call attention for the hotel management. Design/Methodology/Approach In this paper, topics of sentiment followed Lodging Quality Index(LQI) dimensions classifying lodging service quality appropriately. Also, we employed word2vec algorithm which calculates similarity and affinity among the vocabularies accurately. To calculate sentiment of each dimension, we adopted scores from SentiWordNet. Findings From the result, we found the number of foreign travelers particularly satisfied with cleanliness, politeness, and problem solving skills. In contrast, it has also been found out that both promptness of services and efficiency of communication do not fulfill the requirements of travelers.