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Uncovering patterns of product co-consideration : a case study of online vehicle price quote request data

Damangir, Sina; Du, Rex Yuxing; Hu, Ye - In: Journal of interactive marketing : a quarterly … 42 (2018), pp. 1-17

Persistent link: https://www.econbiz.de/10011873118

Uniting the tribes : using text for marketing insight

Berger, Jonah; Humphreys, Ashlee; Ludwig, Stephan; Moe, … - In: Journal of marketing 84 (2020) 1, pp. 1-25

Persistent link: https://www.econbiz.de/10012176296

Profiting from the data economy : understanding the roles of consumers, innovators, and regulators in data-driven world

Schweidel, David A. - 2015

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Mine your own business : market-structure surveillance through text mining

Netzer, Oded; Feldman, Ronen; Goldenberg, Jacob; … - In: Marketing science : the marketing journal of the … 31 (2012) 3, pp. 521-543

Persistent link: https://www.econbiz.de/10009562940

Mining consumer minds : downstream consequences of host motivations for home-sharing platforms

Chung, Jaeyeon; Johar, Gita Venkataramani; Li, Yanyan; … - In: Journal of consumer research : JCR ; an … 48 (2022) 5, pp. 817-838

Persistent link: https://www.econbiz.de/10012877735

Idea generation, creativity, and prototypicality

Toubia, Olivier; Netzer, Oded - In: Marketing science : the marketing journal of the … 36 (2017) 1, pp. 1-20

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When words sweat : identifying signals for loan default in the text of loan applications

Netzer, Oded; Lemaire, Alain; Herzenstein, Michal - In: Journal of marketing research 56 (2019) 6, pp. 960-980

Persistent link: https://www.econbiz.de/10012177745

Natural language processing in marketing

Hartmann, Jochen; Netzer, Oded - In: Artificial intelligence in marketing, (pp. 191-215). 2023

Persistent link: https://www.econbiz.de/10014307139

Mine Your Own Business : Market-Structure Surveillance through Text Mining

Netzer, Oded; Feldman, Ronen; Goldenberg, Jacob; … - 2016

Web 2.0 provides gathering places for Internet users in blogs, forums, and chat rooms. These gathering places leave footprints in the form of colossal amounts of data regarding consumers' thoughts, beliefs, experiences, and even interactions. In this paper, we propose an approach for firms to...

Persistent link: https://www.econbiz.de/10014164821