{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T05:07:11Z","timestamp":1781154431294,"version":"3.54.1"},"reference-count":98,"publisher":"Emerald","issue":"7","license":[{"start":{"date-parts":[[2022,10,14]],"date-time":"2022-10-14T00:00:00Z","timestamp":1665705600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["ITP"],"published-print":{"date-parts":[[2023,11,21]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title><jats:p>Online reviews are regarded as a source of information for decision-making because of the abundance and ready availability of information. Whereas, the sheer volume of online reviews makes it hard for consumers, especially the older adults who perceive more difficulties in reading reviews and obtaining information compared to younger adults, to locate the useful ones. The main objective of this study is to propose an effective method to locate valuable reviews of mobile phones for older adults. Besides, the authors also want to explore what characteristics of the technology older adults prefer. This will benefit both e-retailers and e-commerce platforms.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>After collecting online reviews related to mobile phones designed for older adults from a popular Chinese e-commerce platform (JD Mall), topic modeling, term frequency-inverse document frequency (TF-IDF), and linguistic inquiry and word count (LIWC) methods were applied to extract latent topics and uncover potential dimensions that consumers frequently referred to in their reviews. According to consumers' attitudes towards different popular topics, seven machine learning models were employed to predict the usefulness and popularity of online reviews due to their excellent performance in prediction. To improve the performance, a weighted model based on the two best-performing models was built and evaluated.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>Based on the TF-IDF, topic modeling, and LIWC methods, the authors find that older adults are more interested in the exterior, sound, and communication functions of mobile phones. Besides, the weighted model (Random Forest: Decision Tree\u00a0=\u00a02:1) is the best model for predicting the online review popularity, while random forest performs best in predicting the perceived usefulness of online reviews.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Practical implications<\/jats:title><jats:p>This study\u2019s findings can help e-commerce platforms and merchants identify the needs of the targeted consumers, predict reviews that will get more attention, and provide some early responses to some questions.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>The results propose that older adults pay more attention to the mobile phones' exterior, sound, and communication function, guiding future research. Besides, this paper also enriches the current studies related to making predictions based on the information contained in the online reviews.<\/jats:p><\/jats:sec>","DOI":"10.1108\/itp-12-2021-0930","type":"journal-article","created":{"date-parts":[[2022,10,14]],"date-time":"2022-10-14T01:26:49Z","timestamp":1665710809000},"page":"2633-2660","source":"Crossref","is-referenced-by-count":11,"title":["Predictions on usefulness and\u00a0popularity of online reviews: evidence from mobile phones for\u00a0older adults"],"prefix":"10.1108","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3265-424X","authenticated-orcid":false,"given":"Minghuan","family":"Shou","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7390-0921","authenticated-orcid":false,"given":"Xueqi","family":"Bao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4119-2163","authenticated-orcid":false,"given":"Jie","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"140","published-online":{"date-parts":[[2022,10,14]]},"reference":[{"key":"key2023111804370014000_ref001","article-title":"Sentiment analysis of twitter data","year":"2011"},{"issue":"2","key":"key2023111804370014000_ref002","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1177\/0047287517747753","article-title":"Sentiment analysis in tourism: capitalizing on big data","volume":"58","year":"2019","journal-title":"Journal of Travel Research"},{"key":"key2023111804370014000_ref003","article-title":"A survey of Twitter research: data model, graph structure, sentiment analysis and attacks","volume":"164","year":"2021","journal-title":"Expert Systems with Applications"},{"key":"key2023111804370014000_ref004","first-page":"1","article-title":"Learning topic models - going beyond SVD","year":"2012"},{"issue":"3","key":"key2023111804370014000_ref005","doi-asserted-by":"crossref","first-page":"243","DOI":"10.2307\/4132332","article-title":"Evidence of the effect of trust building technology in electronic markets: price premiums and buyer behavior","volume":"26","year":"2002","journal-title":"MIS Quarterly"},{"issue":"4","key":"key2023111804370014000_ref006","doi-asserted-by":"crossref","first-page":"557","DOI":"10.1007\/s11747-018-0581-x","article-title":"Unstructured data in marketing","volume":"46","year":"2018","journal-title":"Journal of the Academy of Marketing Science"},{"key":"key2023111804370014000_ref007","doi-asserted-by":"crossref","first-page":"256","DOI":"10.1016\/j.eswa.2019.03.001","article-title":"Latent Dirichlet\u00a0allocation (LDA) for topic modeling of the CFPB consumer complaints","volume":"127","year":"2019","journal-title":"Expert Systems with Application"},{"issue":"4","key":"key2023111804370014000_ref008","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1145\/1035575.1035578","article-title":"A study of web usability for older adults seeking online health resources","volume":"11","year":"2004","journal-title":"ACM Transactions on Computer\u2013Human Interaction"},{"key":"key2023111804370014000_ref009","doi-asserted-by":"crossref","first-page":"460","DOI":"10.1016\/j.tourman.2018.09.010","article-title":"Wisdom of crowds: conducting importance-performance analysis (IPA) through online reviews","volume":"70","year":"2019","journal-title":"Tourism Management"},{"issue":"1","key":"key2023111804370014000_ref010","first-page":"993","article-title":"Latent Dirichlet\u00a0allocation","volume":"3","year":"2003","journal-title":"Journal of Machine Learning Research"},{"issue":"4","key":"key2023111804370014000_ref011","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1145\/2133806.2133826","article-title":"Probabilistic topic models","volume":"55","year":"2012","journal-title":"Communications of the ACM"},{"issue":"1","key":"key2023111804370014000_ref012","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1037\/0882-7974.17.1.85","article-title":"Hemispheric asymmetry reduction in older adults","volume":"17","year":"2002","journal-title":"Psychology and Aging"},{"issue":"2","key":"key2023111804370014000_ref013","doi-asserted-by":"crossref","first-page":"511","DOI":"10.1016\/j.dss.2010.11.009","article-title":"Exploring determinants of voting for the \u2018helpfulness\u2019 of online user reviews: a text mining approach","volume":"50","year":"2011","journal-title":"Decision Support Systems"},{"issue":"2","key":"key2023111804370014000_ref014","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1504\/IJMC.2013.052639","article-title":"Age matters","volume":"11","year":"2013","journal-title":"International Journal of Mobile Communications"},{"issue":"5","key":"key2023111804370014000_ref015","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1111\/j.1467-8721.2009.01647.x","article-title":"Aging and information technology use potential and barries","volume":"18","year":"2009","journal-title":"Current Directions in Psychological Science"},{"key":"key2023111804370014000_ref016","doi-asserted-by":"publisher","DOI":"10.1108\/ITP-04-2021-0290","article-title":"Understanding online review behaviors of patients in online health communities: an expectation-disconfirmation perspective","year":"2021","journal-title":"Information Technology and People (West Linn, Or.)"},{"issue":"3","key":"key2023111804370014000_ref017","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1509\/jmkr.43.3.345","article-title":"The effect of word of mouth on sales: online book reviews","volume":"43","year":"2006","journal-title":"Journal of Marketing Research"},{"issue":"4","key":"key2023111804370014000_ref018","doi-asserted-by":"crossref","first-page":"358","DOI":"10.1108\/IJOPM-03-2015-0151","article-title":"Predicting online product sales via online reviews, sentiments, and promotion strategies A big data architecture and neural network approach","volume":"36","year":"2016","journal-title":"International Journal of Operations and Production Management"},{"issue":"1","key":"key2023111804370014000_ref019","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/j.elerap.2007.10.001","article-title":"Consumer informedness and diverse consumer purchasing behaviors: traditional mass-market, trading down, and trading out into the long tail","volume":"7","year":"2008","journal-title":"Electronic Commerce Research and Applications"},{"issue":"2","key":"key2023111804370014000_ref020","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1037\/0882-7974.21.2.333","article-title":"Factors predicting the use of technology","volume":"21","year":"2006","journal-title":"Psychology and Aging"},{"issue":"5","key":"key2023111804370014000_ref021","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1509\/jm.17.0113","article-title":"Device switching in online purchasing examining the strategic contingencies","volume":"82","year":"2018","journal-title":"Journal of Marketing"},{"issue":"10","key":"key2023111804370014000_ref022","doi-asserted-by":"crossref","first-page":"1407","DOI":"10.1287\/mnsc.49.10.1407.17308","article-title":"The digitization of word of mouth: promise and challenges of online feedback mechanisms","volume":"49","year":"2003","journal-title":"Management Science"},{"key":"key2023111804370014000_ref023","article-title":"On the equivalence of non-negative matrix factorization and spectral clustering","year":"2005"},{"issue":"2","key":"key2023111804370014000_ref024","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1016\/j.jretai.2008.04.005","article-title":"The dynamics of online word-of-mouth and product sales - an empirical investigation of the movie industry","volume":"84","year":"2008","journal-title":"Journal of Retailing"},{"issue":"1","key":"key2023111804370014000_ref025","doi-asserted-by":"crossref","first-page":"188","DOI":"10.1002\/aris.1440380105","article-title":"Latent semantic analysis","volume":"38","year":"2004","journal-title":"Annual Review of Information Science and Technology"},{"key":"key2023111804370014000_ref026","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1016\/j.knosys.2012.08.003","article-title":"Multi-aspect sentiment analysis for Chinese online social reviews based on topic modeling and HowNet lexicon","volume":"37","year":"2013","journal-title":"Knowledge-Based Systems"},{"key":"key2023111804370014000_ref027","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1145\/1325555.1325572","article-title":"Role of word of mouth in online store loyalty","volume":"51","year":"2008","journal-title":"Communications of the ACM"},{"issue":"3","key":"key2023111804370014000_ref028","doi-asserted-by":"crossref","first-page":"544","DOI":"10.1108\/IntR-12-2016-0394","article-title":"Reviews' length and sentiment as correlates of online reviews' ratings","volume":"28","year":"2018","journal-title":"Internet Research"},{"issue":"1","key":"key2023111804370014000_ref029","doi-asserted-by":"crossref","first-page":"329","DOI":"10.25300\/MISQ\/2019\/13947","article-title":"Assessing the design choices for online recommendation agents for older adults: older does not always mean simpler information technology","volume":"43","year":"2019","journal-title":"Mis Quarterly"},{"issue":"1","key":"key2023111804370014000_ref030","first-page":"163","article-title":"Age and inhibition","volume":"17","year":"1991","journal-title":"Journal of Experimental Psychology: Learning, Memory, and Cognition"},{"issue":"6","key":"key2023111804370014000_ref031","doi-asserted-by":"crossref","first-page":"416","DOI":"10.1016\/j.ijmedinf.2014.03.002","article-title":"Older adults' perceptions of technologies aimed at falls prevention, detection or monitoring","volume":"83","year":"2014","journal-title":"International Journal of Medical Informatics"},{"issue":"2","key":"key2023111804370014000_ref032","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1080\/10447318.2012.694791","article-title":"Predicting the helpfulness of online reviews - a replication","volume":"29","year":"2013","journal-title":"International Journal of Human-Computer Interaction"},{"issue":"6","key":"key2023111804370014000_ref033","doi-asserted-by":"crossref","first-page":"1355","DOI":"10.1108\/K-03-2018-0143","article-title":"A novel product recommendation model consolidating price, trust and online reviews","volume":"48","year":"2019","journal-title":"Kybernetes"},{"key":"key2023111804370014000_ref034","doi-asserted-by":"crossref","first-page":"15169","DOI":"10.1007\/s11042-018-6894-4","article-title":"Latent Dirichlet\u00a0allocation (LDA) and topic modeling: models, applications, a survey","volume":"78","year":"2019","journal-title":"Multimedia Tools and Applications"},{"key":"key2023111804370014000_ref035","first-page":"3600","article-title":"Using sequence analysis to classify web usage patterns across websites","year":"2012"},{"issue":"4","key":"key2023111804370014000_ref036","doi-asserted-by":"crossref","first-page":"1303","DOI":"10.25300\/MISQ\/2019\/14043","article-title":"Followership in an open-source software project and its significance in code reuse","volume":"43","year":"2019","journal-title":"MIS Quarterly"},{"key":"key2023111804370014000_ref037","volume-title":"Attention and Effort","year":"1973"},{"key":"key2023111804370014000_ref038","doi-asserted-by":"crossref","first-page":"985","DOI":"10.1016\/j.jbusres.2011.04.013","article-title":"Emotional expressions in online user reviews: how they influence consumers' product evaluation","volume":"65","year":"2012","journal-title":"Journal of Business Research"},{"key":"key2023111804370014000_ref039","article-title":"Machine-learning-based deep semantic analysis approach for forecasting new technology convergence","volume":"157","year":"2020","journal-title":"Technological Forecasting and Social Change"},{"key":"key2023111804370014000_ref040","article-title":"Automatically assessing review helpfulness","year":"2006"},{"key":"key2023111804370014000_ref041","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.ins.2018.10.006","article-title":"Multi-co-training for document classification using various document representations: TF-IDF, LDA, and Doc2Vec","volume":"477","year":"2019","journal-title":"Information Sciences"},{"issue":"4","key":"key2023111804370014000_ref042","doi-asserted-by":"crossref","first-page":"364","DOI":"10.1108\/02683940810869015","article-title":"Older workers' motivation to continue to work","volume":"23","year":"2008","journal-title":"Journal of Managerial Psychology"},{"key":"key2023111804370014000_ref043","doi-asserted-by":"crossref","first-page":"472","DOI":"10.1016\/j.eswa.2018.09.037","article-title":"Measuring service quality from unstructured data: a topic modeling application on airline passengers' online reviews","volume":"116","year":"2019","journal-title":"Expert Systems with Application"},{"key":"key2023111804370014000_ref044","article-title":"Non-negative matrix based optimization scheme for blind source separation in automatic speech recognition system","year":"2016"},{"issue":"6","key":"key2023111804370014000_ref045","doi-asserted-by":"crossref","first-page":"528","DOI":"10.1002\/hfm.20297","article-title":"A study of a B2C supporting interface design system for the elderly","volume":"22","year":"2012","journal-title":"Human Factors and Ergonomics in Manufacturing and Service Industries"},{"issue":"6","key":"key2023111804370014000_ref046","doi-asserted-by":"crossref","first-page":"3041","DOI":"10.1016\/j.eswa.2013.10.034","article-title":"Predicting the helpfulness of online reviews using multilayer perceptron neural networks","volume":"41","year":"2014","journal-title":"Expert Systems with Applications"},{"key":"key2023111804370014000_ref047","unstructured":"Lee, D.D. and Seung, H.S. (1997), \u201cUnsupervised learning by convex and conic coding\u201d, in Mozer, M.C., Jordan, M.I. and Petsche, T. (Eds), 10th Annual Conference on Neural Information Processing Systems, Denver."},{"issue":"7","key":"key2023111804370014000_ref048","article-title":"Assessing the product review helpfulness: affective-Cognitive evaluation and the moderating effect of feedback mechanism","volume":"57","year":"2020","journal-title":"Information and Management"},{"key":"key2023111804370014000_ref049","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1016\/j.chb.2014.04.028","article-title":"Online shopping drivers and barriers for older adults","volume":"37","year":"2014","journal-title":"Computers in Human Behavior"},{"issue":"1","key":"key2023111804370014000_ref050","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1509\/jm.11.0560","article-title":"More than words: the influence of affective content and linguistic style matches in online reviews on conversion rates","volume":"77","year":"2013","journal-title":"Journal of Marketing"},{"key":"key2023111804370014000_ref051","doi-asserted-by":"crossref","first-page":"1205","DOI":"10.1002\/asi.24324","article-title":"Getting ready to reduce the digital divide: scenarios of Lithuanian public libraries","volume":"71","year":"2020","journal-title":"Journal of the Association for Information Science and Technology"},{"issue":"12","key":"key2023111804370014000_ref052","doi-asserted-by":"crossref","first-page":"1511","DOI":"10.1002\/asi.24525","article-title":"Genre analysis of movies using a topic model of plot summaries","volume":"72","year":"2021","journal-title":"Journal of the Association for Information Science and Technology"},{"key":"key2023111804370014000_ref053","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.dss.2018.04.002","article-title":"Using LIWC to choose simulation approaches: a feasibility study","volume":"111","year":"2018","journal-title":"Decision Support Systems"},{"issue":"4","key":"key2023111804370014000_ref054","doi-asserted-by":"crossref","first-page":"1093","DOI":"10.1016\/j.asej.2014.04.011","article-title":"Sentiment analysis algorithms and applications: a survey","volume":"5","year":"2014","journal-title":"Ain Shams Engineering Journal"},{"key":"key2023111804370014000_ref055","article-title":"Sentiment analysis using TF-IDF weighting of UK MPs' tweets on Brexit","volume":"228","year":"2021","journal-title":"Knowledge-Based Systems"},{"key":"key2023111804370014000_ref056","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1002\/asi.24550","article-title":"A social media analytics perspective for human-oriented smart city planning and management","volume":"73","year":"2022","journal-title":"Journal of the Association for Information Science and Technology"},{"issue":"1","key":"key2023111804370014000_ref057","doi-asserted-by":"crossref","first-page":"185","DOI":"10.2307\/20721420","article-title":"What makes a helpful online review? A study of customer reviews on Amazon.com","volume":"34","year":"2010","journal-title":"MIS Quarterly"},{"key":"key2023111804370014000_ref058","article-title":"Actual consumers' response to purchase refurbished smartphones: exploring perceived value from product reviews in online retailing","volume":"62","year":"2021","journal-title":"Journal of Retailing and Consumer Services"},{"key":"key2023111804370014000_ref059","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1016\/j.dss.2014.01.011","article-title":"The influence of reviewer engagement characteristics on online review helpfulness: a text regression model","volume":"61","year":"2014","journal-title":"Decision Support Systems"},{"issue":"8","key":"key2023111804370014000_ref060","doi-asserted-by":"crossref","first-page":"686","DOI":"10.1080\/13504851.2020.1770679","article-title":"A study on default prediction of Chinese online lending: based on the analysis of mobile phone usage data","volume":"28","year":"2021","journal-title":"Applied Economics Letters"},{"issue":"1","key":"key2023111804370014000_ref061","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1504\/IJHFE.2014.062550","article-title":"Touchscreen mobile devices and older adults","volume":"3","year":"2014","journal-title":"International Journal of Human Factors and Ergonomics"},{"issue":"4","key":"key2023111804370014000_ref062","doi-asserted-by":"crossref","first-page":"598","DOI":"10.1016\/j.jretai.2011.05.002","article-title":"Born unequal: a study of helpfulness of user-generated product reviews","volume":"87","year":"2011","journal-title":"Journal of Retailing"},{"issue":"1-2","key":"key2023111804370014000_ref063","first-page":"1","article-title":"Opinion mining and sentiment analysis","volume":"2","year":"2008","journal-title":"Foundations and Trends in Information Retrieval"},{"issue":"4","key":"key2023111804370014000_ref064","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1016\/j.elerap.2007.12.001","article-title":"The effects of consumer knowledge on message processing of electronic word-of-mouth via online consumer reviews","volume":"7","year":"2008","journal-title":"Electronic Commerce Research and Applications"},{"key":"key2023111804370014000_ref065","first-page":"221","article-title":"Topic modelling for aspect-level sentiment analysis","volume":"828","year":"2018","journal-title":"Advances in Intelligent Systems and Computing"},{"key":"key2023111804370014000_ref080","article-title":"Insight report on the silver-haired population","year":"2019"},{"issue":"3","key":"key2023111804370014000_ref066","doi-asserted-by":"crossref","first-page":"327","DOI":"10.1007\/s11573-018-0915-7","article-title":"Topic modeling in marketing: recent advances and research opportunities","volume":"89","year":"2019","journal-title":"Journal of Business Economics"},{"issue":"5","key":"key2023111804370014000_ref067","doi-asserted-by":"crossref","first-page":"949","DOI":"10.1016\/j.ipm.2016.04.003","article-title":"Measuring user influence on Twitter: a survey","volume":"52","year":"2016","journal-title":"Information Processing and Management"},{"key":"key2023111804370014000_ref068","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1111\/j.1468-2370.2010.00280.x","article-title":"Online customer experience: a review of the business-to-consumer online purchase context","volume":"13","year":"2011","journal-title":"International Journal of Management Reviews"},{"issue":"3","key":"key2023111804370014000_ref069","doi-asserted-by":"crossref","first-page":"403","DOI":"10.1037\/0033-295X.103.3.403","article-title":"The processing-speed theory of adult age differences in cognition","volume":"103","year":"1996","journal-title":"Psychological Review"},{"issue":"4","key":"key2023111804370014000_ref070","doi-asserted-by":"crossref","first-page":"941","DOI":"10.1177\/1094428118773858","article-title":"Topic modeling as a strategy of inquiry in organizational research: a tutorial with an application example on organizational culture","volume":"22","year":"2019","journal-title":"Organizational Research Methods"},{"key":"key2023111804370014000_ref071","doi-asserted-by":"crossref","first-page":"346","DOI":"10.1016\/j.jbusres.2016.08.008","article-title":"Predicting the \"helpfulness\" of online consumer reviews","volume":"70","year":"2017","journal-title":"Journal of Business Research"},{"issue":"4","key":"key2023111804370014000_ref072","doi-asserted-by":"crossref","first-page":"463","DOI":"10.1509\/jmr.12.0106","article-title":"Mining marketing meaning from online chatter","volume":"51","year":"2014","journal-title":"Journal of Marketing Research"},{"issue":"1","key":"key2023111804370014000_ref073","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1017\/S0954422414000092","article-title":"Understanding heterogeneity among elderly consumers: an evaluation of segmentation approaches in the functional food market","volume":"27","year":"2014","journal-title":"Nutrition Research Reviews"},{"issue":"3","key":"key2023111804370014000_ref074","doi-asserted-by":"crossref","first-page":"522","DOI":"10.1108\/ITP-06-2014-0116","article-title":"The impact research of online reviews' sentiment polarity presentation on consumer purchase decision","volume":"30","year":"2017","journal-title":"Information Technology and People"},{"key":"key2023111804370014000_ref075","article-title":"Making the right business decision: forecasting the binary NPD strategy in Chinese automotive industry with machine learning methods","volume":"155","year":"2020","journal-title":"Technological Forecasting and Social Change"},{"key":"key2023111804370014000_ref076","doi-asserted-by":"crossref","first-page":"1021","DOI":"10.1007\/s10796-020-10024-5","article-title":"Event study and principal component analysis based on sentiment analysis \u2013 a combined methodology to study the stock market with an empirical study","volume":"22","year":"2020","journal-title":"Information Systems Frontiers"},{"issue":"3","key":"key2023111804370014000_ref077","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1177\/0047287514559032","article-title":"Online reviews: the role of information load and peripheral factors","volume":"55","year":"2016","journal-title":"Journal of Travel Research"},{"key":"key2023111804370014000_ref078","first-page":"536","article-title":"Opinion mining and sentiment analysis in social media: challenges and applications","year":"2018"},{"issue":"2","key":"key2023111804370014000_ref079","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1108\/EL-09-2019-0208","article-title":"What influences online reviews' perceived information quality? Perspectives on information richness, emotional polarity and product type","volume":"38","year":"2020","journal-title":"The Electronic Library"},{"key":"key2023111804370014000_ref501","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1016\/j.tourman.2017.11.014","article-title":"Meeting planners' online reviews of destination hotels: a twofold content analysis approach","volume":"66","year":"2018","journal-title":"Tourism Management"},{"key":"key2023111804370014000_ref502","article-title":"Online review manipulation by asymmetrical firms: is a firm's manipulation of online reviews always detrimental to its competitor?","volume":"57","year":"2020","journal-title":"Information and Management"},{"issue":"1","key":"key2023111804370014000_ref503","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1080\/15332861.2020.1868227","article-title":"Diversified online review websites as accelerators for online impulsive buying: the moderating effect of price dispersion","volume":"20","year":"2021","journal-title":"Journal of Internet Commerce"},{"issue":"5","key":"key2023111804370014000_ref504","doi-asserted-by":"crossref","first-page":"630","DOI":"10.1108\/OIR-06-2017-0197","article-title":"The credibility and attribution of online reviews: differences between high and low product knowledge consumers","volume":"42","year":"2018","journal-title":"Online Information Review"},{"issue":"4","key":"key2023111804370014000_ref505","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1002\/dir.20087","article-title":"Exploring the value of online product reviews in forecasting sales: the case of motion pictures","volume":"21","year":"2007","journal-title":"Journal of Interactive Marketing"},{"issue":"1","key":"key2023111804370014000_ref506","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1017\/S0266462307080154","article-title":"Senior residents' perceived need of and preferences for \u2018smart home' sensor technologies","volume":"24","year":"2008","journal-title":"International Journal of Technology Assessment in Health Care"},{"issue":"1","key":"key2023111804370014000_ref507","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1177\/0047287513481274","article-title":"E-WOM and accommodation","volume":"53","year":"2014","journal-title":"Journal of Travel Research"},{"issue":"2","key":"key2023111804370014000_ref508","doi-asserted-by":"crossref","first-page":"222","DOI":"10.1287\/isre.2013.0512","article-title":"Popularity effect\u2019 in user-generated content: evidence from online product reviews","volume":"25","year":"2014","journal-title":"Information Systems Research"},{"issue":"2","key":"key2023111804370014000_ref509","first-page":"21","article-title":"Big data, analytics and the path from insights to value","volume":"52","year":"2011","journal-title":"MIT Sloan Management Review"},{"issue":"2","key":"key2023111804370014000_ref510","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1177\/1440783318766119","article-title":"Old and afraid of new communication technologies? Reconceptualising and contesting the 'age-based digital divide","volume":"54","year":"2018","journal-title":"Journal of Sociology"},{"issue":"6","key":"key2023111804370014000_ref511","doi-asserted-by":"crossref","first-page":"708","DOI":"10.1057\/ejis.2013.19","article-title":"Internet adoption by the elderly: employing IS technology acceptance theories for understanding the age-related digital divide","volume":"23","year":"2014","journal-title":"European Journal of Information Systems"},{"issue":"1","key":"key2023111804370014000_ref512","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1007\/s12126-010-9077-9","article-title":"Diffusion of technology: frequency of use for younger and older adults","volume":"36","year":"2011","journal-title":"Ageing International"},{"key":"key2023111804370014000_ref513","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1016\/j.techfore.2017.12.018","article-title":"Application of text mining techniques to the analysis of discourse in eWOM communications from a gender perspective","volume":"129","year":"2018","journal-title":"Technological Forecasting and Social Change"},{"key":"key2023111804370014000_ref514","doi-asserted-by":"crossref","DOI":"10.18111\/9789284416325","volume-title":"Online Guest Reviews and Hotel Classification Systems - an Integrated Approach","author":"UNWTO (World Tourism Organization)","year":"2014"},{"key":"key2023111804370014000_ref515","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1016\/j.jbusres.2019.07.028","article-title":"This product works well (for me): the impact of first-person singular pronouns on online review helpfulness","volume":"104","year":"2019","journal-title":"Journal of Business Research"},{"key":"key2023111804370014000_ref516","doi-asserted-by":"crossref","first-page":"710","DOI":"10.1002\/asi.24436","article-title":"Predicting users' continued engagement in online health communities from the quantity and quality of received support","volume":"72","year":"2021","journal-title":"Journal of the Association for Information Science and Technology"},{"key":"key2023111804370014000_ref517","article-title":"The merits of a sentiment analysis of antecedent comments for the prediction of online fundraising outcomes","volume":"174","year":"2022","journal-title":"Technological Forecasting and Social Change"},{"key":"key2023111804370014000_ref518","article-title":"Forecasting the importance of product attributes using online customer reviews and Google Trends","volume":"171","year":"2021","journal-title":"Technological Forecasting and Social Change"}],"container-title":["Information Technology &amp; People"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/ITP-12-2021-0930\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/ITP-12-2021-0930\/full\/html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T21:56:10Z","timestamp":1753394170000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.emerald.com\/itp\/article\/36\/7\/2633-2660\/181054"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,14]]},"references-count":98,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2022,10,14]]},"published-print":{"date-parts":[[2023,11,21]]}},"alternative-id":["10.1108\/ITP-12-2021-0930"],"URL":"https:\/\/doi.org\/10.1108\/itp-12-2021-0930","relation":{},"ISSN":["0959-3845"],"issn-type":[{"value":"0959-3845","type":"print"}],"subject":[],"published":{"date-parts":[[2022,10,14]]}}}