Herding in online product choice
By Jen-Hung Huang, Yi-Fen Chen. 2006
473 citations recorded by the source corpus.
Subfields: Information Systems and Management, Marketing, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/13ad5d0d965e133a15a7b0dfc7eb3b51a1599253
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems and Management
- Raffaele Filieri
- Christy M. K. Cheung
- Fraser McLeay
- Zhibin Lin
- Dimple R. Thadani
- Eric Wai Ting Ngai
- Y. Chan
- Claudio Vitari
In Marketing
- Raffaele Filieri
- Christy M. K. Cheung
- Fraser McLeay
- Zhibin Lin
- Claudio Vitari
- Elisabetta Raguseo
- Bruce Tsui
- Dimple R. Thadani
In Sociology and Political Science
- Raffaele Filieri
- Christy M. K. Cheung
- Fraser McLeay
- Zhibin Lin
- Claudio Vitari
- Elisabetta Raguseo
- Sangwon Park
- Bruce Tsui
Citations in the corpus
- Conceptualising electronic word of mouth activity: An input‐process‐output perspective (2011, background): “Previous studies that focused on positive customer reviews versus negative ones showed that positive customer reviews positively affect consumers’ product choices (Huang and Chen, 2006).”
- Positive Effects of Negative Publicity: When Negative Reviews Increase Sales (2010, background): “For consistency’s sake, paragraph-length reviews and articles mentioning multiple books are omitted, so only full-length reviews are included in the sample.”
- Mine Your Own Business: Market-Structure Surveillance Through Text Mining (2012, background): “John et al. (2006) developed a survey-based approach that applied the concept of a memory-associative network to brands and the concepts used to describe them.”
- The impact of electronic word-of-mouth communication: A literature analysis and integrative model (2012, background): “Purchase intention The willingness to purchase a product in the future [8,28,46,54,57,64,65,67,73,77]”
- What moderates the influence of extremely negative ratings? The role of review and reviewer characteristics (2019, background): “For instance, Kwok et al. (2016) found that review length is negatively related to review helpfulness and Filieri et al.”
- Content or Community? A Digital Business Strategy for Content Providers in the Social Age (2013, background): “Past research has already shown how social interactions in online environments can influence purchasing decisions (Godes and Mayzlin 2004; Huang and Chen 2006).”
- The Different Effects of Online Consumer Reviews on Consumers' Purchase Intentions Depending on Trust in Online Shopping Mall: An Advertising Perspective (2011, background): “Therefore, an informational rather than a normative influence is expected to play a central role in influencing the purchasing decision of individuals (Huang and Chen, 2006).”
- Gender differences in consumers’ perception of online consumer reviews (2011, background): “It is found that online consumer reviews can help consumers reduce perceived risk of negative consequences of online shopping and influence their attitude towards products and purchase intention [10, 28, 42].”
- The Effects of Consumer Knowledge on Message Processing of Electronic Word of Mouth via Online Consumer Reviews (2008, background): “They analyze the effects of reviews from aggregate-level approaches not from individuallevel approaches Clemons et al. (2006) Both mean and variance of review ratings are positively related to the product sales Huang and Chen (2006) The effect of review sources is examined This study does not consid”
- Online Demand Under Limited Consumer Search (2010, unknown): “ĈIjk (Θ ;X) = ∑ i min (πij , πik) √∑ i πij √∑ i πik (22)”
- Electronic word of mouth: The effects of incentives on e‐referrals by senders and receivers (2013, background): “Consumers are adept at differentiating between expert and consumer recommendations online, and they perceive consumer recommendations as more trustworthy than those of experts (Huang and Chen, 2006).”