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- Publisher Website: 10.1007/978-3-030-22784-5_10
- Scopus: eid_2-s2.0-85069145996
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Conference Paper: How Do Novice Consumers Learn from Online Expert Reviews?
Title | How Do Novice Consumers Learn from Online Expert Reviews? |
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Authors | |
Keywords | Expert reviews Information consumption Online markets Peer reviews Preference construction |
Issue Date | 2019 |
Publisher | Springer. The Proceedings' web site is located at https://link.springer.com/conference/web |
Citation | The 17th Workshop on e-Business (WeB): The Ecosystem of e-Business: Technologies, Stakeholders, and Connections, Santa Clara, CA, USA, 12 December 2018. In Xu, J ... (et al) (eds) The Ecosystem of e-Business: Technologies, Stakeholders, and Connections (WEB 2018), p. 99-107. Cham: Springer, 2019 How to Cite? |
Abstract | Expert-written product reviews are prevalent and could be in many forms, ranging from short textual descriptions to video-embedded blogs. For consumers, expert reviews can not only optimize their purchase decisions, but also play an important role in facilitating consumer learning. In this paper, we first draw on profession research and propose two focal elements that characterize the content of expert reviews, and then investigate the impact of expert reviews on consumers’ product preferences and information consumption via the lens of preference construction theory and dissonance theory. With describing our experiment design to test the hypotheses, we seek to make contributions to the vast studies of online reviews by characterizing the expert review content, examining the effects of expert review on consumer judgments and offering a new perspective of distinguishing expert reviews and peer reviews in online markets. |
Description | Session 3c. Social Influence and Online Reviews |
Persistent Identifier | http://hdl.handle.net/10722/278794 |
ISBN | |
ISSN | 2023 SCImago Journal Rankings: 0.339 |
Series/Report no. | Lecture Notes in Business Information Processing ; v. 357 |
DC Field | Value | Language |
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dc.contributor.author | Bao, Z | - |
dc.contributor.author | Chau, MCL | - |
dc.date.accessioned | 2019-10-21T02:14:10Z | - |
dc.date.available | 2019-10-21T02:14:10Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | The 17th Workshop on e-Business (WeB): The Ecosystem of e-Business: Technologies, Stakeholders, and Connections, Santa Clara, CA, USA, 12 December 2018. In Xu, J ... (et al) (eds) The Ecosystem of e-Business: Technologies, Stakeholders, and Connections (WEB 2018), p. 99-107. Cham: Springer, 2019 | - |
dc.identifier.isbn | 978-3-030-22783-8 | - |
dc.identifier.issn | 1865-1348 | - |
dc.identifier.uri | http://hdl.handle.net/10722/278794 | - |
dc.description | Session 3c. Social Influence and Online Reviews | - |
dc.description.abstract | Expert-written product reviews are prevalent and could be in many forms, ranging from short textual descriptions to video-embedded blogs. For consumers, expert reviews can not only optimize their purchase decisions, but also play an important role in facilitating consumer learning. In this paper, we first draw on profession research and propose two focal elements that characterize the content of expert reviews, and then investigate the impact of expert reviews on consumers’ product preferences and information consumption via the lens of preference construction theory and dissonance theory. With describing our experiment design to test the hypotheses, we seek to make contributions to the vast studies of online reviews by characterizing the expert review content, examining the effects of expert review on consumer judgments and offering a new perspective of distinguishing expert reviews and peer reviews in online markets. | - |
dc.language | eng | - |
dc.publisher | Springer. The Proceedings' web site is located at https://link.springer.com/conference/web | - |
dc.relation.ispartof | 17th Workshop on e-Business, WeB 2018: The Ecosystem of e-Business: Technologies, Stakeholders, and Connections | - |
dc.relation.ispartofseries | Lecture Notes in Business Information Processing ; v. 357 | - |
dc.subject | Expert reviews | - |
dc.subject | Information consumption | - |
dc.subject | Online markets | - |
dc.subject | Peer reviews | - |
dc.subject | Preference construction | - |
dc.title | How Do Novice Consumers Learn from Online Expert Reviews? | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Chau, MCL: mchau@business.hku.hk | - |
dc.identifier.authority | Chau, MCL=rp01051 | - |
dc.identifier.doi | 10.1007/978-3-030-22784-5_10 | - |
dc.identifier.scopus | eid_2-s2.0-85069145996 | - |
dc.identifier.hkuros | 307562 | - |
dc.identifier.spage | 99 | - |
dc.identifier.epage | 107 | - |
dc.identifier.eissn | 1865-1356 | - |
dc.publisher.place | Cham | - |
dc.identifier.issnl | 1865-1348 | - |