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Customer knowledge discovery from online reviews

You, Weijia; Xia, Mu; Liu, Lu; Liu, Dan - In: Electronic markets : the international journal on … 22 (2012) 3, pp. 131-142

Persistent link: https://www.econbiz.de/10009657278

Exploring determinants of voting for the “helpfulness” of online user reviews : a text mining approach

Cao, Ray Qing; Duan, Wenjing; Gan, Qiwei - In: Decision support systems : DSS ; the international journal 50 (2010/11) 2, pp. 511-521

Persistent link: https://www.econbiz.de/10008826209

Do professional review affect online user choices through user reviews? : an empirical study

Zhou, Wenqi; Duan, Wenjing - In: Journal of management information systems : JMIS 33 (2016) 1, pp. 202-228

Persistent link: https://www.econbiz.de/10011560744

Information or attention? : an empirical study of user contribution on Twitter

Rui, Huaxia; Whinston, Andrew B. - In: Information systems and e-business management : ISeB 10 (2012) 3, pp. 309-324

Persistent link: https://www.econbiz.de/10009578317

A Model of Fake Data in Data-driven Analysis

Li, Xiaofan - 2018

Data-driven analysis has been increasingly used in various decision making processes. With more sources, including reviews, news, and photos, that can now be used for data analysis, the authenticity of data sources is in doubt. While previous literature attempted to detect fake data piece by...

Persistent link: https://www.econbiz.de/10012909071

Competitive benchmarking : an IS research approach to address wicket problems big data and analytics

Ketter, Wolfgang; Peters, Markus; Collins, John; Gupta, Alok - In: Management information systems : mis quarterly 40 (2016) 4, pp. 1057-1080

Persistent link: https://www.econbiz.de/10011612516

Enhancing social media analysis with visual data analytics : a deep learning approach

Shin, Donghyuk; He, Shu; Lee, Gene Moo; Whinston, Andrew B. - In: MIS quarterly 44 (2020) 4, pp. 1459-1492

Persistent link: https://www.econbiz.de/10012403975