Tourism demand forecasting using tourist-generated online review data
This study aims to forecast international tourist arrivals to Hong Kong from seven English-
speaking countries. A new direction in tourism demand modeling and forecasting is …
speaking countries. A new direction in tourism demand modeling and forecasting is …
Forecasting tourism demand with multisource big data
Based on internet big data from multiple sources (ie, the Baidu search engine and two
online review platforms, Ctrip and Qunar), this study forecasts tourist arrivals to Mount …
online review platforms, Ctrip and Qunar), this study forecasts tourist arrivals to Mount …
Machine Learning in Information Systems Research.
EDITOR’S COMMENTS RESEARCH ARTICLE Page 1 EDITOR’S COMMENTS RESEARCH
ARTICLE MIS Quarterly Vol. 46 No. 1 pp. iii-xix / March 2022 iii Machine Learning in …
ARTICLE MIS Quarterly Vol. 46 No. 1 pp. iii-xix / March 2022 iii Machine Learning in …
Using user-and marketer-generated content for box office revenue prediction: Differences between microblogging and third-party platforms
In this research, we build a prediction model of movie box office revenue by empirically
exploring its intricate relationships with user-generated content (UGC) as well as marketer …
exploring its intricate relationships with user-generated content (UGC) as well as marketer …
Predicting vehicle sales by sentiment analysis of Twitter data and stock market values
PF Pai, CH Liu - IEEE Access, 2018 - ieeexplore.ieee.org
Owning to the booming of social media, making comments or expressing opinions about
merchandises online becomes easier than before. Data from social media might be one of …
merchandises online becomes easier than before. Data from social media might be one of …
Machine learning in internet search query selection for tourism forecasting
Prior studies have shown that Internet search query data have great potential to improve
tourism forecasting. As such, selecting the most relevant information from large amounts of …
tourism forecasting. As such, selecting the most relevant information from large amounts of …
The pursuit of innovative theory in the digital age
V Grover, K Lyytinen - Journal of Information Technology, 2023 - journals.sagepub.com
Grover & Lyytinen (2015) urged to reassess the Information System (IS) field's exclusive
dependence on reference theories and to engage more in blue-ocean theorizing. From its …
dependence on reference theories and to engage more in blue-ocean theorizing. From its …
Interpretable tourism volume forecasting with multivariate time series under the impact of COVID-19
This study proposes a novel interpretable framework to forecast the daily tourism volume of
Jiuzhaigou Valley, Huangshan Mountain, and Siguniang Mountain in China under the …
Jiuzhaigou Valley, Huangshan Mountain, and Siguniang Mountain in China under the …
Predicting stages in omnichannel path to purchase: A deep learning model
The proliferation of omnichannel practices and emerging technologies opens up new
opportunities for companies to collect voluminous data across multiple channels. This study …
opportunities for companies to collect voluminous data across multiple channels. This study …
Nurturing Online Communities: An Empirical Investigation.
Online brand communities can be valuable to firms, but how do firms cultivate such
communities? We find that engagement, that is,“likes” in response to firm posts, in the online …
communities? We find that engagement, that is,“likes” in response to firm posts, in the online …