Using Online User-Generated Reviews to Predict Offline Box-Office Sales and Online DVD Store Sales in the O2O Era

Abstract:With the rapid growth of e-commerce and social media, customers post online reviews on various online shopping websites and social media after their consumption experience, which generated the electronic word of mouth effect. In the online-to-offline era, companies are using multi-channels...

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Autores principales:	Lee,Chieh, Xu,Xun, Lin,Chia-Chun
Lenguaje:	English
Publicado:	Universidad de Talca 2019
Materias:	Online reviews Demand forecasting Global sensitivity analysis Online and offline sales Film industry
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-18762019000100106
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spelling	oai:scielo:S0718-187620190001001062019-02-28Using Online User-Generated Reviews to Predict Offline Box-Office Sales and Online DVD Store Sales in the O2O EraLee,ChiehXu,XunLin,Chia-Chun Online reviews Demand forecasting Global sensitivity analysis Online and offline sales Film industry Abstract:With the rapid growth of e-commerce and social media, customers post online reviews on various online shopping websites and social media after their consumption experience, which generated the electronic word of mouth effect. In the online-to-offline era, companies are using multi-channels to increase customer demand, and the Effect generated by online users’ reviews plays an important role in customer demand both online and offline. Few previous studies focused on using online user-generated reviews to forecast the demand of hyper-differentiated products online and offline, which is particularly hard to predict due to the various preferences of customers and complex relationship between factors. Via predictive global sensitivity analysis, this study uses online user-generated reviews posted on social media to predict customers’ demand for hyper-differentiated products both online and offline, with an example in the film industry. We generate forecasting equations, which can successfully predict movie box office and online DVD store sales. The effectiveness and reliability of our approach are proved by the numerical studies of 22 randomly selected movies. Managers can use our method to access and analyze online users’ review data and forecast future online and offline product sales.info:eu-repo/semantics/openAccessUniversidad de TalcaJournal of theoretical and applied electronic commerce research v.14 n.1 20192019-01-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-18762019000100106en10.4067/S0718-18762019000100106
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Online reviews Demand forecasting Global sensitivity analysis Online and offline sales Film industry
spellingShingle	Online reviews Demand forecasting Global sensitivity analysis Online and offline sales Film industry Lee,Chieh Xu,Xun Lin,Chia-Chun Using Online User-Generated Reviews to Predict Offline Box-Office Sales and Online DVD Store Sales in the O2O Era
description	Abstract:With the rapid growth of e-commerce and social media, customers post online reviews on various online shopping websites and social media after their consumption experience, which generated the electronic word of mouth effect. In the online-to-offline era, companies are using multi-channels to increase customer demand, and the Effect generated by online users’ reviews plays an important role in customer demand both online and offline. Few previous studies focused on using online user-generated reviews to forecast the demand of hyper-differentiated products online and offline, which is particularly hard to predict due to the various preferences of customers and complex relationship between factors. Via predictive global sensitivity analysis, this study uses online user-generated reviews posted on social media to predict customers’ demand for hyper-differentiated products both online and offline, with an example in the film industry. We generate forecasting equations, which can successfully predict movie box office and online DVD store sales. The effectiveness and reliability of our approach are proved by the numerical studies of 22 randomly selected movies. Managers can use our method to access and analyze online users’ review data and forecast future online and offline product sales.
author	Lee,Chieh Xu,Xun Lin,Chia-Chun
author_facet	Lee,Chieh Xu,Xun Lin,Chia-Chun
author_sort	Lee,Chieh
title	Using Online User-Generated Reviews to Predict Offline Box-Office Sales and Online DVD Store Sales in the O2O Era
title_short	Using Online User-Generated Reviews to Predict Offline Box-Office Sales and Online DVD Store Sales in the O2O Era
title_full	Using Online User-Generated Reviews to Predict Offline Box-Office Sales and Online DVD Store Sales in the O2O Era
title_fullStr	Using Online User-Generated Reviews to Predict Offline Box-Office Sales and Online DVD Store Sales in the O2O Era
title_full_unstemmed	Using Online User-Generated Reviews to Predict Offline Box-Office Sales and Online DVD Store Sales in the O2O Era
title_sort	using online user-generated reviews to predict offline box-office sales and online dvd store sales in the o2o era
publisher	Universidad de Talca
publishDate	2019
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-18762019000100106
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Using Online User-Generated Reviews to Predict Offline Box-Office Sales and Online DVD Store Sales in the O2O Era

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