Applying Text Analysis to Determine Factors That Increase the Assessed Usefulness of Online Product Reviews: An Abstract

Jorge Fresneda, David Gefen

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations

Abstract

Online consumer reviews (OCRs) are important in determining sales and price of products because they build trust in the seller (Pavlou and Dimoka 2006). Trust is the driving force in e-commerce (Gefen et al. 2003). One of the key ways in which trust is applied in ecommerce is through e-WOM (electronic word of mouth), such as that created through OCR (Dellarocas 2003). Accordingly, interest in OCR has increased from both academics and practitioners as a valuable source of information for consumers making online buying decisions (e.g., Archak et al. 2011). These decisions are influenced by the negative and positive information about a product or service posted online by other consumers (Forman et al. 2008).

Original languageEnglish (US)
Title of host publicationDevelopments in Marketing Science
Subtitle of host publicationProceedings of the Academy of Marketing Science
PublisherSpringer Nature
Pages1405-1406
Number of pages2
DOIs
StatePublished - 2017
Externally publishedYes

Publication series

NameDevelopments in Marketing Science: Proceedings of the Academy of Marketing Science
ISSN (Print)2363-6165
ISSN (Electronic)2363-6173

All Science Journal Classification (ASJC) codes

  • Marketing
  • Strategy and Management

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