Under the background of urban renewal, this paper re-explores the tourism development modeof Nanluoguxiang historical and cultural block based on online review data, and puts forward correspondingdevelopment strategie...Under the background of urban renewal, this paper re-explores the tourism development modeof Nanluoguxiang historical and cultural block based on online review data, and puts forward correspondingdevelopment strategies. As a cultural label of a city, historical and cultural blocks should be updated first inorder to achieve sustainable development. By using multi-source big data review and qualitative researchmethods, the perception evaluation of tourists in Nanluoguxiang is obtained, and the shortcomings ofcurrent tourism development mode are analyzed. Furthermore, corresponding improvement strategies andsuggestions are put forward, in order to provide some effective ideas for the sustainable development ofhistorical and cultural blocks in the future.展开更多
It is apparent that writing has played an irreplaceable role in research and pedagogy because of the recognition of English as lingua franca and also the growing number of students going abroad for higher education.In...It is apparent that writing has played an irreplaceable role in research and pedagogy because of the recognition of English as lingua franca and also the growing number of students going abroad for higher education.In the context of China,various kinds of feedback can be considered as significant factors to enhance Chinese English learners'writing ability.展开更多
The online review function helps consumers grasp more real product information and reduce the possibility of returning, but it may also damage firms’ reputations or profits. However, few studies considered the relati...The online review function helps consumers grasp more real product information and reduce the possibility of returning, but it may also damage firms’ reputations or profits. However, few studies considered the relationship between online reviews and consumer returns. Based on this, we develop an e-commerce supply chain(E-SC) game model consisting of a single manufacturer and a single e-platform, aiming to explore the relationship between consumer returns and online reviews and to analyze the impact on both the decision-making of E-SC members and their profits. We find that there is a negative relationship between consumer returns and online reviews of product quality, and consumer returns make the pricing decisions in the two scenarios of yes/no online reviews move toward two different directions. Only when the online review is positive and higher than a certain threshold will it have a positive impact on sales and E-SC members’ profits. Finally, we design a new “commission joint returns and quality improvement costs sharing” contract to optimize the decentralized model with online reviews, and we find that the higher the accuracy of product information, the less conducive the contract applied to E-SC.展开更多
For many online businesses,online reviews are crucially important to managing reputation,word-of-mouth sales,and,ultimately,their survival.Hence,more and more on line business owners are posting public responses to bo...For many online businesses,online reviews are crucially important to managing reputation,word-of-mouth sales,and,ultimately,their survival.Hence,more and more on line business owners are posting public responses to both positive and negative reviews.But do these responses change anything?And,if so,which types of responses are the most effective for strengthening customer relationship and increasing the chances of repeat business?With two surveys and a series of partial least squares-structural equation modeling(PLS-SEM)analyses,we tested three releva nt hypotheses to an swer these questions.The results show that when busi ness replies to online reviews with promotional information,consumers perceive the seller to be self-interested,and both relati on ship quality and repurchase intenti on decrease.However,sincere responses that do not contain promotional information,such as gratitude and apology,are highly correlated to positive relationship quality and the likelihood of future repeat business.These findings enrich the academic literature on on line reviews,and the recommendations stemming from our results should be of interest to any business that relies on their online reputation for survival.展开更多
This study aims to study the effectiveness of online English movie reviews for improving university students’English writing in China.English movie reviews can be profitably undertaken to improve university students...This study aims to study the effectiveness of online English movie reviews for improving university students’English writing in China.English movie reviews can be profitably undertaken to improve university students’writing ability by reading English movie reviews online,discussing topics related to English movie reviews and writing English movie reviews collaboratively.University students have easy access to English movie reviews massively available on the Internet,which renders it possible and feasible for English teachers to use them to improve students’English writing.Online English movie reviews provide students with enough input of model texts,hence they can acquire some appropriate expressions before writing within a short period of time.In addition,discussion on English movie reviews through Emails and QQ platform can activate students’critical thinking to stimulate their original ideas for English movie review writing.Writing English movie reviews collaboratively with the help of Internet can develop students’confidence in writing because of peer feedback and less pressure.展开更多
Metaverse is one of the main technologies in the daily lives of several people,such as education,tour systems,and mobile application services.Particularly,the number of users of mobile metaverse applications is increa...Metaverse is one of the main technologies in the daily lives of several people,such as education,tour systems,and mobile application services.Particularly,the number of users of mobile metaverse applications is increasing owing to the merit of accessibility everywhere.To provide an improved service,it is important to analyze online reviews that contain user satisfaction.Several previous studies have utilized traditional methods,such as the structural equation model(SEM)and technology acceptance method(TAM)for exploring user satisfaction,using limited survey data.These methods may not be appropriate for analyzing the users of mobile applications.To overcome this limitation,several researchers perform user experience analysis through online reviews and star ratings.However,some online reviews occasionally have inconsistencies between the star rating and the sentiment of the text.This variation disturbs the performance of machine learning.To alleviate the inconsistencies,Valence Aware Dictionary and sEntiment Reasoner(VADER),which is a sentiment classifier based on lexicon,is introduced.The current study aims to build a more accurate sentiment classifier based on machine learning with VADER.In this study,five sentiment classifiers are used,such as Naïve Bayes,K-Nearest Neighbors(KNN),Logistic Regression,Light Gradient Boosting Machine(LightGBM),and Categorical boosting algorithm(Catboost)with three embedding methods(Bag-of-Words(BoW),Term Frequency-Inverse Document Frequency(TF-IDF),Word2Vec).The results show that classifiers that apply VADER outperform those that do not apply VADER,excluding one classifier(Logistic Regression with Word2Vec).Moreover,LightGBM with TF-IDF has the highest accuracy 88.68%among other models.展开更多
This study explored user satisfaction with mobile payments by applying a novel structural topic model.Specifically,we collected 17,927 online reviews of a specific mobile payment(i.e.,PayPal).Then,we employed a struct...This study explored user satisfaction with mobile payments by applying a novel structural topic model.Specifically,we collected 17,927 online reviews of a specific mobile payment(i.e.,PayPal).Then,we employed a structural topic model to investigate the relationship between the attributes extracted from online reviews and user satisfaction with mobile payment.Consequently,we discovered that“lack of reliability”and“poor customer service”tend to appear in negative reviews.Whereas,the terms“convenience,”“user-friendly interface,”“simple process,”and“secure system”tend to appear in positive reviews.On the basis of information system success theory,we categorized the topics“convenience,”“user-friendly interface,”and“simple process,”as system quality.In addition,“poor customer service”was categorized as service quality.Furthermore,based on the previous studies of trust and security,“lack of reliability”and“secure system”were categorized as trust and security,respectively.These outcomes indicate that users are satisfied when they perceive that system quality and security of specific mobile payments are great.On the contrary,users are dissatisfied when they feel that service quality and reliability of specific mobile payments is lacking.Overall,our research implies that a novel structural topic model is an effective method to explore mobile payment user experience.展开更多
By referring to attribution theory,influence factor and internal mechanism of crisis brand generating two kinds of spillover effects are explored. In this paper,the influence mechanism on spillover effect is explored ...By referring to attribution theory,influence factor and internal mechanism of crisis brand generating two kinds of spillover effects are explored. In this paper,the influence mechanism on spillover effect is explored from the angles of network and industry information. Results show that high online review dispersion is easy to cause that consumer attributes the responsibility to the outside of the enterprise,while low online review dispersion is easy to cause that consumer attributes the responsibility to the inside of the enterprise; high industry base rate information is easy to cause that consumer attributes the responsibility to the outside of the enterprise,while low industry base rate information is easy to cause that consumer attributes the responsibility to the inside of the enterprise. When consumer attributes the responsibility to the outside of the enterprise,infectious network spillover is easy to occur. When consumer attributes the responsibility to the inside of the enterprise,contrast network spillover is easy to occur. Consumer's existing brand knowledge regulates the influence of online review dispersion on responsibility attribution and the influence of industry base rate information on responsibility attribution. Research result could provide effective theoretic reference and management suggestion for crisis enterprise and even whole industry responding to product injury crisis.展开更多
In this Web 2.0 era,various and massive tourist experiences and reviews presented on social networks have become important information for tourism research.In this paper,we apply social media to explore and study the ...In this Web 2.0 era,various and massive tourist experiences and reviews presented on social networks have become important information for tourism research.In this paper,we apply social media to explore and study the tourism industry of Bamako,Mali.Over 2000 reviewers and their comments about Bamako’s hotels and restaurants from TripAdvisor and Facebook were collected.Also,we integrate official tourism statistic data and field surveying data into the online review dataset.Data mining and statistic method are used to analyze the data for purpose of exploring the characteristics about tourism industry in Bamako.And we find that:(i)Most tourists are coming to Bamako for business purpose,and they incline to choose the hotels with better service and security condition;(ii)Comments on social media would greatly affect travelers’choice on hotels;(iii)Most travelers are satisfied about Bamako’s accommodation services.展开更多
As one of the ways to reflect the views of the masses in modern society,online reviews have great value in public opinion research.The analysis of potential public opinion information from online reviews has a certain...As one of the ways to reflect the views of the masses in modern society,online reviews have great value in public opinion research.The analysis of potential public opinion information from online reviews has a certain value for the government to clarify the next work direction.In this paper,the event evolution graph is designed to make COVID-19 network public opinion prediction.The causal relationship was extracted in the network reviews after the COVID-19 incident to build an event evolution graph of COVID-19 and predict the possibility of the occurrence of the derivative public opinion.The research results show the hot events and evolution direction of COVID-19 network public opinion in a clear way,and it can provide reference for the network regulatory department to implement intervention.展开更多
基金National Social Science Foundation Project of China(21FYSB048)Humanities and Social Sciences Research Project of the Ministry of Education(20YJAZH1010).
文摘Under the background of urban renewal, this paper re-explores the tourism development modeof Nanluoguxiang historical and cultural block based on online review data, and puts forward correspondingdevelopment strategies. As a cultural label of a city, historical and cultural blocks should be updated first inorder to achieve sustainable development. By using multi-source big data review and qualitative researchmethods, the perception evaluation of tourists in Nanluoguxiang is obtained, and the shortcomings ofcurrent tourism development mode are analyzed. Furthermore, corresponding improvement strategies andsuggestions are put forward, in order to provide some effective ideas for the sustainable development ofhistorical and cultural blocks in the future.
文摘It is apparent that writing has played an irreplaceable role in research and pedagogy because of the recognition of English as lingua franca and also the growing number of students going abroad for higher education.In the context of China,various kinds of feedback can be considered as significant factors to enhance Chinese English learners'writing ability.
基金Supported by the National Natural Science Foundation of China (71971129)the Science and Technology Support Program for Youth Innovation of Colleges and Universities in Shandong Province (2019RWG017)+1 种基金Self Cultivation Innovation Team Project of Jinan (202228075)Shandong Taishan Scholar Project Special Project (tsqn202211197)。
文摘The online review function helps consumers grasp more real product information and reduce the possibility of returning, but it may also damage firms’ reputations or profits. However, few studies considered the relationship between online reviews and consumer returns. Based on this, we develop an e-commerce supply chain(E-SC) game model consisting of a single manufacturer and a single e-platform, aiming to explore the relationship between consumer returns and online reviews and to analyze the impact on both the decision-making of E-SC members and their profits. We find that there is a negative relationship between consumer returns and online reviews of product quality, and consumer returns make the pricing decisions in the two scenarios of yes/no online reviews move toward two different directions. Only when the online review is positive and higher than a certain threshold will it have a positive impact on sales and E-SC members’ profits. Finally, we design a new “commission joint returns and quality improvement costs sharing” contract to optimize the decentralized model with online reviews, and we find that the higher the accuracy of product information, the less conducive the contract applied to E-SC.
基金supported by the Youth Program of National Natural Science Foundation of China[7200020259]National Natural Science Foundation of China[71672008]Shuimu Scholar Program of Tsinghua University.
文摘For many online businesses,online reviews are crucially important to managing reputation,word-of-mouth sales,and,ultimately,their survival.Hence,more and more on line business owners are posting public responses to both positive and negative reviews.But do these responses change anything?And,if so,which types of responses are the most effective for strengthening customer relationship and increasing the chances of repeat business?With two surveys and a series of partial least squares-structural equation modeling(PLS-SEM)analyses,we tested three releva nt hypotheses to an swer these questions.The results show that when busi ness replies to online reviews with promotional information,consumers perceive the seller to be self-interested,and both relati on ship quality and repurchase intenti on decrease.However,sincere responses that do not contain promotional information,such as gratitude and apology,are highly correlated to positive relationship quality and the likelihood of future repeat business.These findings enrich the academic literature on on line reviews,and the recommendations stemming from our results should be of interest to any business that relies on their online reputation for survival.
文摘This study aims to study the effectiveness of online English movie reviews for improving university students’English writing in China.English movie reviews can be profitably undertaken to improve university students’writing ability by reading English movie reviews online,discussing topics related to English movie reviews and writing English movie reviews collaboratively.University students have easy access to English movie reviews massively available on the Internet,which renders it possible and feasible for English teachers to use them to improve students’English writing.Online English movie reviews provide students with enough input of model texts,hence they can acquire some appropriate expressions before writing within a short period of time.In addition,discussion on English movie reviews through Emails and QQ platform can activate students’critical thinking to stimulate their original ideas for English movie review writing.Writing English movie reviews collaboratively with the help of Internet can develop students’confidence in writing because of peer feedback and less pressure.
基金This study was supported by a National Research Foundation of Korea(NRF)(http://nrf.re.kr/eng/index)grant funded by the Korean government(NRF-2020R1A2C1014957).
文摘Metaverse is one of the main technologies in the daily lives of several people,such as education,tour systems,and mobile application services.Particularly,the number of users of mobile metaverse applications is increasing owing to the merit of accessibility everywhere.To provide an improved service,it is important to analyze online reviews that contain user satisfaction.Several previous studies have utilized traditional methods,such as the structural equation model(SEM)and technology acceptance method(TAM)for exploring user satisfaction,using limited survey data.These methods may not be appropriate for analyzing the users of mobile applications.To overcome this limitation,several researchers perform user experience analysis through online reviews and star ratings.However,some online reviews occasionally have inconsistencies between the star rating and the sentiment of the text.This variation disturbs the performance of machine learning.To alleviate the inconsistencies,Valence Aware Dictionary and sEntiment Reasoner(VADER),which is a sentiment classifier based on lexicon,is introduced.The current study aims to build a more accurate sentiment classifier based on machine learning with VADER.In this study,five sentiment classifiers are used,such as Naïve Bayes,K-Nearest Neighbors(KNN),Logistic Regression,Light Gradient Boosting Machine(LightGBM),and Categorical boosting algorithm(Catboost)with three embedding methods(Bag-of-Words(BoW),Term Frequency-Inverse Document Frequency(TF-IDF),Word2Vec).The results show that classifiers that apply VADER outperform those that do not apply VADER,excluding one classifier(Logistic Regression with Word2Vec).Moreover,LightGBM with TF-IDF has the highest accuracy 88.68%among other models.
基金This work was supported by a National Research Foundation of Korea(NRF)grant funded by the Korean government(NRF-2020R1A2C1014957).
文摘This study explored user satisfaction with mobile payments by applying a novel structural topic model.Specifically,we collected 17,927 online reviews of a specific mobile payment(i.e.,PayPal).Then,we employed a structural topic model to investigate the relationship between the attributes extracted from online reviews and user satisfaction with mobile payment.Consequently,we discovered that“lack of reliability”and“poor customer service”tend to appear in negative reviews.Whereas,the terms“convenience,”“user-friendly interface,”“simple process,”and“secure system”tend to appear in positive reviews.On the basis of information system success theory,we categorized the topics“convenience,”“user-friendly interface,”and“simple process,”as system quality.In addition,“poor customer service”was categorized as service quality.Furthermore,based on the previous studies of trust and security,“lack of reliability”and“secure system”were categorized as trust and security,respectively.These outcomes indicate that users are satisfied when they perceive that system quality and security of specific mobile payments are great.On the contrary,users are dissatisfied when they feel that service quality and reliability of specific mobile payments is lacking.Overall,our research implies that a novel structural topic model is an effective method to explore mobile payment user experience.
基金Supported by the National Natural Science Foundation of China(71273106,71073064,71502070)Special Fund for Basic Research and Business Expenses of Central Universities(2013SC38,71561147001)
文摘By referring to attribution theory,influence factor and internal mechanism of crisis brand generating two kinds of spillover effects are explored. In this paper,the influence mechanism on spillover effect is explored from the angles of network and industry information. Results show that high online review dispersion is easy to cause that consumer attributes the responsibility to the outside of the enterprise,while low online review dispersion is easy to cause that consumer attributes the responsibility to the inside of the enterprise; high industry base rate information is easy to cause that consumer attributes the responsibility to the outside of the enterprise,while low industry base rate information is easy to cause that consumer attributes the responsibility to the inside of the enterprise. When consumer attributes the responsibility to the outside of the enterprise,infectious network spillover is easy to occur. When consumer attributes the responsibility to the inside of the enterprise,contrast network spillover is easy to occur. Consumer's existing brand knowledge regulates the influence of online review dispersion on responsibility attribution and the influence of industry base rate information on responsibility attribution. Research result could provide effective theoretic reference and management suggestion for crisis enterprise and even whole industry responding to product injury crisis.
基金This work was supported by the National Key R&D Program of China(grant number 2017YFB0503700)the National Nature Science Foundation of China(grant number 41501439).
文摘In this Web 2.0 era,various and massive tourist experiences and reviews presented on social networks have become important information for tourism research.In this paper,we apply social media to explore and study the tourism industry of Bamako,Mali.Over 2000 reviewers and their comments about Bamako’s hotels and restaurants from TripAdvisor and Facebook were collected.Also,we integrate official tourism statistic data and field surveying data into the online review dataset.Data mining and statistic method are used to analyze the data for purpose of exploring the characteristics about tourism industry in Bamako.And we find that:(i)Most tourists are coming to Bamako for business purpose,and they incline to choose the hotels with better service and security condition;(ii)Comments on social media would greatly affect travelers’choice on hotels;(iii)Most travelers are satisfied about Bamako’s accommodation services.
基金The NationalNatural Science Foundation of China(No.61572521)Engineering University of PAP Innovation Team Science Foundation(No.KYTD201805)The National Social Science Fund of China(No.20XTQ007,2020-SKJJ-B-019).
文摘As one of the ways to reflect the views of the masses in modern society,online reviews have great value in public opinion research.The analysis of potential public opinion information from online reviews has a certain value for the government to clarify the next work direction.In this paper,the event evolution graph is designed to make COVID-19 network public opinion prediction.The causal relationship was extracted in the network reviews after the COVID-19 incident to build an event evolution graph of COVID-19 and predict the possibility of the occurrence of the derivative public opinion.The research results show the hot events and evolution direction of COVID-19 network public opinion in a clear way,and it can provide reference for the network regulatory department to implement intervention.
